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Roblox raises at $29.5 billion valuation, readies for direct listing
Roblox is now one of the world’s most valuable private companies in the world after a monster Series H raise brings the social gaming platform a stratospheric $29.5 billion valuation. The company won’t be private for long, though.
The $520 million raise led by Altimeter Capital and Dragoneer Investment Group is a significant cash influx for Roblox, which had previously raised just over $335 million from investors according to Crunchbase. The Investment Group of Santa Barbara, Warner Music Group, and a number of current investors, also participated in this round.
In February of 2020, the company closed a $150 million Series G led by Andreessen Horowitz which valued the company at $4 billion.
The gaming startup had initially planned an IPO in 2020, but after the major first-day pops of DoorDash and Airbnb, the company leadership reconsidered their timeline, according to a report in Axios. Those major day-one share price pops left significant money on the table for the companies selling those shares, an outcome Roblox is likely looking to avoid. Today, the company also announced that it plans to enter the public markets via a direct listing.
Roblox’s 7x valuation multiple signals just how feverish public and private markets are for tech stocks. The valuation also highlights how investors foresee the company benefiting from pandemic trends which pushed more users online and toward social gaming platforms. In a 2019 prospectus, the company shared that it had 17.6 million users, now Roblox claims to have 31 million daily active users on its platform.
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The big question on every startup’s mind for 2021
My big question for 2021, and the one that is on every startup’s mind, is how will a cataclysmic event such as a global pandemic show up in post-pandemic innovation? I think we’re in the early innings of seeing what “aha moments” have materialized into companies. And we won’t know the pandemic’s true impact on our psyches until the dust settles and we have an opportunity to reflect.
We do know it will be fascinating to watch. In 2020, innovators and investors were forced to stand still, and witness cracks, fractures and rubble in society in a way like never before. It was a humbling year that, for much of the tech community, was mostly spent inside, away and alone.
One reaction I’ve noticed so far — that isn’t necessarily new but comes with new weight — is a rush of innovation that focuses on reducing friction. Take trends like the rise of building in public or the unbundling of venture capital. Or remote work’s shift from enabling communication to now needing to enable passive and active collaboration. Apply the same idea to mental health, education and fitness. Heck, we’re even seeing people take the Y Combinator format and apply it to anything that makes sense, from helping operators turn into investors to helping employees try to turn their side gig into a full-time company.
While these movements didn’t begin because of the coronavirus, they all seem to have a huge, pandemic-sized asterisk next to it.
It would be easy to dismiss these movements as small and inconsequential. But, as my colleague and fellow Equity co-host Danny Crichton pointed out this week, “sometimes the most important changes in venture and startups more generally have come from lowering that last bit of friction to action.”
Lowering friction feels like the mantra with which we all need to enter 2021.
I already have hope that innovation will come from a more diverse set of people, whether it’s in a hacker house for undergraduate women or a student-founded service that matches undergraduate students to nonprofits. So, as we enter the new year — and bear with me here — I urge you to be optimistic.
The last year in tech hasn’t left people exhausted and hopeless, it’s left them energized and ready.
Maze, computer artwork. (Image Credits: Pasieka / Getty Images)
Will the second time be the charm for Qualtrics?
When SAP announced that Qualtrics was getting spun out in July, the full-circle moment made the Equity podcast crew jump to our mics with guesses around why. Now, months later, there’s a new S-1 filing, and more to color in. Alex Wilhelm broke down the Utah-based unicorn’s numbers, noting that it’s the second time Qualtrics has filed.
Will the second time be the charm that Qualtrics needs to actually go public this time around? I’ll let you make the call yourself once you sift through Alex’s analysis of the valuation and financials.
Blackboard Business Strategy Concept. (Image Credits: hanibaram / Getty Images)
Miami, Substack and Clubhouse
If those three words in a single subhed elicit a certain reaction from you, Danny Crichton has a bone to pick with you. He wrote a piece this week about tech’s cynicism around anything new, underscoring how Miami’s future as a tech hub, Substack’s future as a replacement for traditional journalism and Clubhouse’s future as a social media disruptor have come under fire as expected:
The cynicism of immediate perfection is one of the strange dynamics of startups in 2020. There is this expectation that a startup, with one or a few founders and a couple of employees, is somehow going to build a perfect product on day one that mitigates any potential problem even before it becomes one. Maybe these startups are just getting popularized too early, and the people who understand early product are getting subsumed by the wider masses who don’t understand the evolution of products?
Danny’s argument is to give these companies a little more grace to execute on a vision they themselves are not even close to scratching the surface of. When it comes to holding specific decision-makers and businesses to a certain standard, I prefer a more fluid conversation. But I do agree that writing off a business because it hasn’t done everything correctly from the start can hurt progress. It’s easy to be grumpy, but why not choose to be an optimist? Tell me your optimistic bets by responding to this newsletter or tweeting me @nmasc_.
Skyline of downtown Miami, Florida looking toward the Brickell neighborhood on Biscayne Bay. Brickell is one of the largest financial districts in the United States and also has many high-rise residential condominium and apartment towers. (Image Credits: John Coletti / Getty Images)
And some good news
Speaking of humbling moments and optimism, our own Sarah Perez wrote a piece this week about EarlyBird, an app that lets families and friends gift investments to children. While Acorns and Stash have similar offerings, EarlyBird is bringing a fresh UX play to financial literacy, freedom and education. There’s a ton of work left to be done, hurdles to deal with, and giant unicorns to compete with. EarlyBird, however, is only weeks old, so there’s much to watch out for.
VP Caleb Frankel, now EarlyBird COO, explained the early inspiration:
“This all started with a problem I experienced years ago when my beautiful baby niece was born. I found myself head over heels and spending hundreds and hundreds of dollars on just the most ridiculous stuff — pretty much just junk gifts,” he says. “I wanted to have a larger impact in her life and something that she could really use when she grew up.”
Image Credits: oxygen (opens in a new window) / Getty Images
Around TechCrunch
Attending CES 2021? TechCrunch wants to meet your startup
Gift Guide: Last-minute subscriptions to keep the gifts going all year
Across the week
Seen on Extra Crunch
How artificial intelligence will be used in 2021
On the diversity front, 2020 may prove a tipping point
The 2020 boom in climate tech SPACs
2021 will be a calmer year for semiconductors and chips (except for Intel)
Understanding Europe’s big push to rewrite the digital rulebook
Seen on TechCrunch
China lays out ‘rectification’ plan for Jack Ma’s fintech empire Ant
NSO used real people’s location data to pitch its contact-tracing tech, researchers say
India’s slow 2020 told through dollars and cents
An earnest review of a robotic cat pillow
@EquityPod
The Equity pod put together a 2021 predictions episode (with Chris Gates, our producer, making a guest appearance on the mic as well!). We talk about IPO candidates, San Francisco and the future of drugs.
2020 brought several million downloads to the podcast, and we’re super thankful to all of y’ all for tuning in. This year will be even bigger, better and, hey, maybe we’ll even get to make fun of each other in person too.
Till next week,
Natasha Mascarenhas
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NextMind’s Dev Kit for mind-controlled computing offers a rare ‘wow’ factor in tech
NextMind debuted its Dev Kit hardware at CES last year, but the hardware is now actually shipping, and the startup shared with me the production version to take a test drive. The NextMind controller is a sensor that reads electrical signals from your brain’s visual cortex, and translates those into input signals for a connected PC. A lot of companies have developed novel input solutions that use either eye tracking or electrical impulse input from the body, but NextMind’s is the first I’ve tried that worked instantly and wonderfully, providing a truly amazing experience of a kind that’s hard to find in the current world of relatively mature computing paradigms.
The basics
NextMind’s developer kit is just that — a product aimed at developers that’s meant to give them everything they need to get building software that works with NextMind’s hardware and APIs. It includes the NextMind sensor, which works with a range of headgear, including simple straps, Oculus VR headsets and even baseball hats, along with the software and SDK required to make it work on your PC.
Image Credits: NextMind
The package that NextMind provided me included the sensor, a fabric headband, a Surface PC with the engine pre-installed and a USB gamepad for use with one of the company’s pre-built software demos.
The sensor itself is lightweight, and can operate for up to eight hours continuously on a single charge. It can charge via USB-C, and its software is compatible with both Mac and PC, along with Oculus, HTC Vive and also Microsoft’s HoloLens.
Design and features
The NextMind sensor itself is surprisingly small and light — it fits in the palm of your hand, with two arms that extend slightly beyond that. It features an integrated clip mount that can be used to attach it to just about anything to secure it to your head. In terms of fit, you just need to ensure that the nine sets of two-pronged electrode sensors make contact with your skin, which NextMind provides instructions on doing by essentially making sure it straps snugly to your head, and then “combing” the device slightly (moving it up and down to get your hair out of the way).
It wears comfortably, though you will notice the electrodes pressing into your skin, especially over longer use periods. The ability to use a standard baseball cap with the clip makes it super convenient to install and wear, and it worked with the Oculus Rift and Oculus Quest headstraps easily and instantly, too.
Image Credits: NextMind
Setup was a breeze. I was guided by NextMind’s co-creators, but the app provides clear instructions as well. There’s a calibration process during which you look at an animation being displayed on the host PC, which helps the sensor identify the specific signals your occipital lobe is emitting when performing the target behaviour that you’ll later use to actually interact with NextMind-optimized software.
Here’s where it’s worth pausing to explain how NextMind is actually “reading your thoughts”: The sensor basically learns what it looks like when your brain is engaged in what the company calls “active, visual focus.” It does this using a common signal that it overlays on controllable elements of a software’s graphical user interface. That way, when you focus on a specific item, it can translate that into a “press” action, or a “hold and move,” or any other number of potential output results.
NextMind’s system is elegantly simple in conception, which is probably why it feels so powerful and rich in use. After the calibration process, I immediately jumped into the demos and was performing a range of actions effectively with my brain. First was media playback and window management on a desktop, and from there I moved on to composing music, entering a pin on a number pad and playing multiple games, including a platform where my mind control was supplementing my physical input on a USB gamepad to create a whole new level of fun and complex gameplay that wouldn’t be possible otherwise.
This is a Dev Kit, so the included software is just a small sampling of what could be possible with NextMind eventually, now that developers are able to build their own. What’s amazing is that the included samples are breathtaking on their own, providing an overall experience that is mind-bending in all the best possible ways. Imagining a future where NextMind hardware is even smaller and a seamless part of an overall computing experience that also includes traditional input is tantalizing, indeed.
Bottom line
NextMind’s Dev Kit is definitely just that — a Dev Kit. It’s intended for developers who are going to use it to write their own software that will take advantage of this unique, safe and convenient form of brain-computer interface (BCI). The kit retails for $399, and is now shipping. NextMind has plans to eventually consumerise the product, and to work with other OEMs as well on implementations, but for now, even in this state, it’s an awe-inspiring glimpse into what could well be the next major shift in our daily computing paradigm.
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Hightouch raises $2.1M to help businesses get more value from their data warehouses
Hightouch, a SaaS service that helps businesses sync their customer data across sales and marketing tools, is coming out of stealth and announcing a $2.1 million seed round. The round was led by Afore Capital and Slack Fund, with a number of angel investors also participating.
At its core, Hightouch, which participated in Y Combinator’s Summer 2019 batch, aims to solve the customer data integration problems that many businesses today face.
During their time at Segment, Hightouch co-founders Tejas Manohar and Josh Curl witnessed the rise of data warehouses like Snowflake, Google’s BigQuery and Amazon Redshift — that’s where a lot of Segment data ends up, after all. As businesses adopt data warehouses, they now have a central repository for all of their customer data. Typically, though, this information is then only used for analytics purposes. Together with former Bessemer Ventures investor Kashish Gupta, the team decided to see how they could innovate on top of this trend and help businesses activate all of this information.
HighTouch co-founders Kashish Gupta, Josh Curl and Tejas Manohar.
“What we found is that, with all the customer data inside of the data warehouse, it doesn’t make sense for it to just be used for analytics purposes — it also makes sense for these operational purposes like serving different business teams with the data they need to run things like marketing campaigns — or in product personalization,” Manohar told me. “That’s the angle that we’ve taken with Hightouch. It stems from us seeing the explosive growth of the data warehouse space, both in terms of technology advancements as well as like accessibility and adoption. […] Our goal is to be seen as the company that makes the warehouse not just for analytics but for these operational use cases.”
It helps that all of the big data warehousing platforms have standardized on SQL as their query language — and because the warehousing services have already solved the problem of ingesting all of this data, Hightouch doesn’t have to worry about this part of the tech stack either. And as Curl added, Snowflake and its competitors never quite went beyond serving the analytics use case either.
Image Credits: Hightouch
As for the product itself, Hightouch lets users create SQL queries and then send that data to different destinations — maybe a CRM system like Salesforce or a marketing platform like Marketo — after transforming it to the format that the destination platform expects.
Expert users can write their own SQL queries for this, but the team also built a graphical interface to help non-developers create their own queries. The core audience, though, is data teams — and they, too, will likely see value in the graphical user interface because it will speed up their workflows as well. “We want to empower the business user to access whatever models and aggregation the data user has done in the warehouse,” Gupta explained.
The company is agnostic to how and where its users want to operationalize their data, but the most common use cases right now focus on B2C companies, where marketing teams often use the data, as well as sales teams at B2B companies.
Image Credits: Hightouch
“It feels like there’s an emerging category here of tooling that’s being built on top of a data warehouse natively, rather than being a standard SaaS tool where it is its own data store and then you manage a secondary data store,” Curl said. “We have a class of things here that connect to a data warehouse and make use of that data for operational purposes. There’s no industry term for that yet, but we really believe that that’s the future of where data engineering is going. It’s about building off this centralized platform like Snowflake, BigQuery and things like that.”
“Warehouse-native,” Manohar suggested as a potential name here. We’ll see if it sticks.
Hightouch originally raised its round after its participation in the Y Combinator demo day but decided not to disclose it until it felt like it had found the right product/market fit. Current customers include the likes of Retool, Proof, Stream and Abacus, in addition to a number of significantly larger companies the team isn’t able to name publicly.
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Supabase raises $6M for its open-source Firebase alternative
Supabase, a YC-incubated startup that offers developers an open-source alternative to Google’s Firebase and similar platforms, today announced that it has raised a $6 million funding round led by Coatue, with participation from YC, Mozilla and a group of about 20 angel investors.
Currently, Supabase includes support for PostgreSQL databases and authentication tools, with a storage and serverless solution coming soon. It currently provides all the usual tools for working with databases — and listening to database changes — as well as a web-based UI for managing them. The team is quick to note that while the comparison with Google’s Firebase is inevitable, it is not meant to be a 1-to-1 replacement for it. And unlike Firebase, which uses a NoSQL database, Supabase is using PostgreSQL.
Indeed, the team relies heavily on existing open-source projects and contributes to them where it can. One of Supabase’s full-time employees maintains the PostgREST tool for building APIs on top of the database, for example.
“We’re not trying to build another system,” Supabase co-founder and CEO Paul Copplestone told me. “We just believe that already there are well-trusted, scalable enterprise open-source products out there and they just don’t have this usability component. So actually right now, Supabase is an amalgamation of six tools, soon to be seven. Some of them we built ourselves. If we go to market and can’t find anything that we think is going to be scalable — or really solve the problems — then we’ll build it and we’ll open-source it. But otherwise, we’ll use existing tools.”
Image Credits: Supabase
The traditional route to market for open-source tools is to create a tool and then launch a hosted version — maybe with some additional features — to monetize the work. Supabase took a slightly different route and launched a hosted version right away.
If somebody would want to host the service themselves, the code is available, but running your own PaaS is obviously a major challenge, but that’s also why the team went with this approach. What you get with Firebase, he noted, is that it’s a few clicks to set everything up. Supabase wanted to be able to offer the same kind of experience. “That’s one thing that self-hosting just cannot offer,” he said. “You can’t really get the same wow factor that you can if we offered a hosted platform where you literally [have] one click and then a couple of minutes later, you’ve got everything set up.”
In addition, he also noted that he wanted to make sure the company could support the growing stable of tools it was building and commercializing its tools based on its database services was the easiest way to do so.
Like other Y Combinator startups, Supabase closed its funding round after the accelerator’s demo day in August. The team had considered doing a SAFE round, but it found the right group of institutional investors that offered founder-friendly terms to go ahead with this institutional round instead.
“It’s going to cost us a lot to compete with the generous free tier that Firebase offers,” Copplestone said. “And it’s databases, right? So it’s not like you can just keep them stateless and shut them down if you’re not really using them. [This funding round] gives us a long, generous runway and more importantly, for the developers who come in and build on top of us, [they can] take as long as they want and then start monetizing later on themselves.“
The company plans to use the new funding to continue to invest in its various tools and hire to support its growth.
“Supabase’s value proposition of building in a weekend and scaling so quickly hit home immediately,” said Caryn Marooney, general partner at Coatue and Facebook’s former VP of Global Communications. “We are proud to work with this team, and we are excited by their laser focus on developers and their commitment to speed and reliability.”
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Atlanta-based gaming controller peripheral seller KontrolFreek has been bought by SteelSeries
After nearly a decade selling gaming and console peripherals to gamers looking to spice up their systems, Atlanta-based KontrolFreek has been acquired by the international peripherals retailer SteelSeries.
Terms of the acquisition were undisclosed, but KontrolFreek has shipped more than 2 million units of its flagship product, which is available in over 9,000 retailers in 60 countries and can be found in over 16 online marketplaces.
That’s not bad for a company that was founded 11 years ago with a $50,000 check from BLH Venture Partners, the Atlanta-based investment firm co-founded by Billy L. Harbert and Ashish Mistry. Mistry, a co-founder of Virtex Networks and later an early team member at Air Defense.
Neither Harbert nor Mistry were much for gaming, but they did see the opportunity in selling peripherals to the folks who were, Mistry said in a direct message.
“Huge markets have large niches,” Mistry wrote.
By acquiring KontrolFreek, SteelSeries is further consolidating its position in the console gaming market by folding one of the leading sellers of high-performance controller accessories into its portfolio of products. Earlier this year, SteelSeries nabbed A-volute, which provides three dimensional sound systems for games.
SteelSeries also gets a vibrant user-generated media property in KontrolFreek’s FreekNation community, which boasts 4 million community members.
“With the next-generation consoles at the forefront of the gaming industry’s mind, there’s never been a better time to maximize our ability to provide the best gaming experiences and products to console gamers,” said Ehtisham Rabbani, CEO of SteelSeries. “With KontrolFreek’s expertise and global popularity, we know they’ll open new opportunities to entertain, delight, and assist new gamers across the world.”
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Cosmos Video — a ‘Club Penguin for adults’ to socialise and work — raises $2.6M from LocalGlobe
All over the world startups are piling into the space marked “virtual interaction and collaboration”. What if a startup created a sort of “Club Penguin for adults”?
Step forward Cosmos Video, which has a virtual venues platform that allows people to work, hang out and socialize together. It has now raised $2.6 million in seed funding from LocalGlobe, with participation from Entrepreneur First, Andy Chung and Philipp Moehring (AngelList), and Omid Ashtari (former president of Citymapper).
Founders Rahul Goyal and Karan Baweja previously led product teams at Citymapper and TransferWise, respectively.
Cosmos allows users to create virtual venues by combining game mechanics with video chat. The idea is to bring back the kinds of serendipitous interactions we used to have in the real world. You choose an avatar, then meet up with their colleagues or friends inside a browser-based game. As you move your avatars closer to another person you can video chat with them, as you might in real life.
The competition is the incumbent video conferencing platforms such as Zoom and Microsoft Teams, but calls on these platforms have a set agenda, and are timeboxed — they’re rigid and repetitive. On Cosmos you sit on the screen and consume one video call after another as you move around the space, so it is mimicking serendipity, after a fashion.
As well as having a social application, office colleagues can work collaboratively on tools such as whiteboards, Google documents and Figma, play virtual board games or gather around a table to chat.
Cosmos is currently being used in private beta by a select group of companies to host their offices and for social events such as Christmas parties. Others are using it to host events, meetup groups and family gatherings.
Co-founder Rahul Goyal said in a statement: “Once the pandemic hit, we both saw productivity surge in our respective teams but at the same time, people were missing the in-office culture. Video conferencing platforms provide a great service when it comes to meetings, but they lack spontaneity. Cosmos is a way to bring back that human connection we lack when we spend all day online, by providing a virtual world where you can play a game of trivia or pong after work with colleagues or gather round a table to celebrate a friend’s birthday.”
George Henry, partner at LocalGlobe, said: “We were really impressed with the vision and potential of Cosmos. Scaling live experiences online is one of the big internet frontiers where there are still so many opportunities. Now that the video infrastructure is in place, we believe products like Cosmos will enable new forms of live online experiences.”
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AWS expands on SageMaker capabilities with end-to-end features for machine learning
Nearly three years after it was first launched, Amazon Web Services’ SageMaker platform has gotten a significant upgrade in the form of new features, making it easier for developers to automate and scale each step of the process to build new automation and machine learning capabilities, the company said.
As machine learning moves into the mainstream, business units across organizations will find applications for automation, and AWS is trying to make the development of those bespoke applications easier for its customers.
“One of the best parts of having such a widely adopted service like SageMaker is that we get lots of customer suggestions which fuel our next set of deliverables,” said AWS vice president of machine learning, Swami Sivasubramanian. “Today, we are announcing a set of tools for Amazon SageMaker that makes it much easier for developers to build end-to-end machine learning pipelines to prepare, build, train, explain, inspect, monitor, debug and run custom machine learning models with greater visibility, explainability and automation at scale.”
Already companies like 3M, ADP, AstraZeneca, Avis, Bayer, Capital One, Cerner, Domino’s Pizza, Fidelity Investments, Lenovo, Lyft, T-Mobile and Thomson Reuters are using SageMaker tools in their own operations, according to AWS.
The company’s new products include Amazon SageMaker Data Wrangler, which the company said was providing a way to normalize data from disparate sources so the data is consistently easy to use. Data Wrangler can also ease the process of grouping disparate data sources into features to highlight certain types of data. The Data Wrangler tool contains more than 300 built-in data transformers that can help customers normalize, transform and combine features without having to write any code.
Amazon also unveiled the Feature Store, which allows customers to create repositories that make it easier to store, update, retrieve and share machine learning features for training and inference.
Another new tool that Amazon Web Services touted was Pipelines, its workflow management and automation toolkit. The Pipelines tech is designed to provide orchestration and automation features not dissimilar from traditional programming. Using pipelines, developers can define each step of an end-to-end machine learning workflow, the company said in a statement. Developers can use the tools to re-run an end-to-end workflow from SageMaker Studio using the same settings to get the same model every time, or they can re-run the workflow with new data to update their models.
To address the longstanding issues with data bias in artificial intelligence and machine learning models, Amazon launched SageMaker Clarify. First announced today, this tool allegedly provides bias detection across the machine learning workflow, so developers can build with an eye toward better transparency on how models were set up. There are open-source tools that can do these tests, Amazon acknowledged, but the tools are manual and require a lot of lifting from developers, according to the company.
Other products designed to simplify the machine learning application development process include SageMaker Debugger, which enables developers to train models faster by monitoring system resource utilization and alerting developers to potential bottlenecks; Distributed Training, which makes it possible to train large, complex, deep learning models faster than current approaches by automatically splitting data across multiple GPUs to accelerate training times; and SageMaker Edge Manager, a machine learning model management tool for edge devices, which allows developers to optimize, secure, monitor and manage models deployed on fleets of edge devices.
Last but not least, Amazon unveiled SageMaker JumpStart, which provides developers with a searchable interface to find algorithms and sample notebooks so they can get started on their machine learning journey. The company said it would give developers new to machine learning the option to select several pre-built machine learning solutions and deploy them into SageMaker environments.
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SingleStore, formerly MemSQL, raises $80M to integrate and leverage companies’ disparate data silos
While the enterprise world likes to talk about “big data”, that term belies the real state of how data exists for many organizations: the truth of the matter is that it’s often very fragmented, living in different places and on different systems, making the concept of analysing and using it in a single, effective way a huge challenge.
Today, one of the big up-and-coming startups that has built a platform to get around that predicament is announcing a significant round of funding, a sign of the demand for its services and its success so far in executing on that.
SingleStore, which provides a SQL-based platform to help enterprises manage, parse and use data that lives in silos across multiple cloud and on-premise environments — a key piece of work needed to run applications in risk, fraud prevention, customer user experience, real-time reporting and real-time insights, fast dashboards, data warehouse augmentation, modernization for data warehouses and data architectures and faster insights — has picked up $80 million in funding, a Series E round that brings in new strategic investors alongside its existing list of backers.
The round is being led by Insight Partners, with new backers Dell Technologies Capital, Hercules Capital; and previous backers Accel, Anchorage, Glynn Capital, GV (formerly Google Ventures) and Rev IV also participating.
Alongside the investment, SingleStore is formally announcing a new partnership with analytics powerhouse SAS. I say “formally” because they two have been working together already and it’s resulted in “tremendous uptake,” CEO Raj Verma said in an interview over email.
Verma added that the round came out of inbound interest, not its own fundraising efforts, and as such, it brings the total amount of cash it has on hand to $140 million. The gives the startup money to play with not only to invest in hiring, R&D and business development, but potentially also M&A, given that the market right now seems to be in a period of consolidation.
Verma said the valuation is a “significant upround” compared to its Series D in 2018 but didn’t disclose the figure. PitchBook notes that at the time it was valued at $270 million post-money.
When I last spoke with the startup in May of this year — when it announced a debt facility of $50 million — it was not called SingleStore; it was MemSQL. The company rebranded at the end of October to the new name, but Verma said that the change was a long time in the planning.
“The name change is one of the first conversations I had when I got here,” he said about when he joined the company in 2019 (he’s been there for about 16 months). “The [former] name didn’t exactly flow off the tongue and we found that it no longer suited us, we found ourselves in a tiny shoebox of an offering, in saying our name is MemSQL we were telling our prospects to think of us as in-memory and SQL. SQL we didn’t have a problem with but we had outgrown in-memory years ago. That was really only 5% of our current revenues.”
He also mentioned the hang up many have with in-memory database implementations: they tend to be expensive. “So this implied high TCO, which couldn’t have been further from the truth,” he said. “Typically we are ⅕-⅛ the cost of what a competitive product would be to implement. We were doing ourselves a disservice with prospects and buyers.”
The company liked the name SingleStore because it is based a conceptual idea of its proprietary technology. “We wanted a name that could be a verb. Down the road we hope that when someone asks large enterprises what they do with their data, they will say that they ‘SingleStore It!’ That is the vision. The north star is that we can do all types of data without workload segmentation,” he said.
That effort is being done at a time when there is more competition than ever before in the space. Others also providing tools to manage and run analytics and other work on big data sets include Amazon, Microsoft, Snowflake, PostgreSQL, MySQL and more.
SingleStore is not disclosing any metrics on its growth at the moment but says it has thousands of enterprise customers. Some of the more recent names it’s disclosed include GE, IEX Cloud, Go Guardian, Palo Alto Networks, EOG Resources, SiriusXM + Pandora, with partners including Infosys, HCL and NextGen.
“As industry after industry reinvents itself using software, there will be accelerating market demand for predictive applications that can only be powered by fast, scalable, cloud-native database systems like SingleStore’s,” said Lonne Jaffe, managing director at Insight Partners, in a statement. “Insight Partners has spent the past 25 years helping transformational software companies rapidly scale-up, and we’re looking forward to working with Raj and his management team as they bring SingleStore’s highly differentiated technology to customers and partners across the world.”
“Across industries, SAS is running some of the most demanding and sophisticated machine learning workloads in the world to help organizations make the best decisions. SAS continues to innovate in AI and advanced analytics, and we partner with companies like SingleStore that share our curiosity about how data and analytics can help organizations reimagine their businesses and change the world,” said Oliver Schabenberger, COO and CTO at SAS, added. “Our engineering teams are integrating SingleStore’s scalable SQL-based database platform with the massively parallel analytics engine SAS Viya. We are excited to work with SingleStore to improve performance, reduce cost, and enable our customers to be at the forefront of analytics and decisioning.”
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Microsoft launches Azure Purview, its new data governance service
As businesses gather, store and analyze an ever-increasing amount of data, tools for helping them discover, catalog, track and manage how that data is shared are also becoming increasingly important. With Azure Purview, Microsoft is launching a new data governance service into public preview today that brings together all of these capabilities in a new data catalog with discovery and data governance features.
As Rohan Kumar, Microsoft’s corporate VP for Azure Data, told me, this has become a major pain point for enterprises. While they may be very excited about getting started with data-heavy technologies like predictive analytics, those companies’ data and privacy-focused executives are very concerned to make sure that the way the data is used is compliant or that the company has received the right permissions to use its customers’ data, for example.
In addition, companies also want to make sure that they can trust their data and know who has access to it and who made changes to it.
“[Purview] is a unified data governance platform which automates the discovery of data, cataloging of data, mapping of data, lineage tracking — with the intention of giving our customers a very good understanding of the breadth of the data estate that exists to begin with, and also to ensure that all these regulations that are there for compliance, like GDPR, CCPA, etc, are managed across an entire data estate in ways which enable you to make sure that they don’t violate any regulation,” Kumar explained.
At the core of Purview is its catalog that can pull in data from the usual suspects, like Azure’s various data and storage services, but also third-party data stores, including Amazon’s S3 storage service and on-premises SQL Server. Over time, the company will add support for more data sources.
Kumar described this process as a “multi-semester investment,” so the capabilities the company is rolling out today are only a small part of what’s on the overall road map already. With this first release today, the focus is on mapping a company’s data estate.
Image Credits: Microsoft
“Next [on the road map] is more of the governance policies,” Kumar said. “Imagine if you want to set things like ‘if there’s any PII data across any of my data stores, only this group of users has access to it.’ Today, setting up something like that is extremely complex and most likely you’ll get it wrong. That’ll be as simple as setting a policy inside of Purview.”
In addition to launching Purview, the Azure team also today launched into general availability Azure Synapse, Microsoft’s next-generation data warehousing and analytics service. The idea behind Synapse is to give enterprises — and their engineers and data scientists — a single platform that brings together data integration, warehousing and big data analytics.
“With Synapse, we have this one product that gives a completely no-code experience for data engineers, as an example, to build out these [data] pipelines and collaborate very seamlessly with the data scientists who are building out machine learning models, or the business analysts who build out reports for things like Power BI.”
Among Microsoft’s marquee customers for the service, which Kumar described as one of the fastest-growing Azure services right now, are FedEx, Walgreens, Myntra and P&G.
“The insights we gain from continuous analysis help us optimize our network,” said Sriram Krishnasamy, senior vice president, strategic programs at FedEx Services. “So as FedEx moves critical high-value shipments across the globe, we can often predict whether that delivery will be disrupted by weather or traffic and remediate that disruption by routing the delivery from another location.”
Image Credits: Microsoft
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