By Ron Miller
December 17, 2020
By Ron Miller
December 17, 2020
By Ron Miller
December 16, 2020
By Ron Miller
December 16, 2020
By Natasha Mascarenhas
December 15, 2020
By Ron Miller
December 15, 2020
By Ingrid Lunden
December 14, 2020
By Frederic Lardinois
December 10, 2020
By Ron Miller
December 9, 2020
Firebolt raises $37M to take on Snowflake, Amazon and Google with a new approach to data warehousing
By Ingrid Lunden
December 9, 2020
UIPath, the robotic process automation startup that has been growing like gangbusters, filed confidential paperwork with the SEC today ahead of a potential IPO.
“UiPath, Inc. today announced that it has submitted a draft registration statement on a confidential basis to the U.S. Securities and Exchange Commission (the “SEC”) for a proposed public offering of its Class A common stock. The number of shares of Class A common stock to be sold and the price range for the proposed offering have not yet been determined. UiPath intends to commence the public offering following completion of the SEC review process, subject to market and other conditions,” the company said in a statement.
The company has raised over $1.2 billion from investors like Accel, CapitalG, Sequoia and others. Its biggest raise was $568 million led by Coatue on an impressive $7 billion valuation in April 2019. It raised another $225 million led by Alkeon Capital last July when its valuation soared to $10.2 billion.
At the time of the July raise, CEO and co-founder Daniel Dines did not shy away from the idea of an IPO, telling me:
“We’re evaluating the market conditions and I wouldn’t say this to be vague, but we haven’t chosen a day that says on this day we’re going public. We’re really in the mindset that says we should be prepared when the market is ready, and I wouldn’t be surprised if that’s in the next 12-18 months,” he said.
This definitely falls within that window. RPA helps companies take highly repetitive manual tasks and automate them. So for example, it could pull a number from an invoice, fill in a number in spreadsheet and send an email to accounts payable, all without a human touching it.
It is a technology that has great appeal right now because it enables companies to take advantage of automation without ripping and replacing their legacy systems. While the company has raised a ton of money, and seen its valuation take off, it will be interesting to see if it will get the same positive reception as companies like Airbnb, C3.ai and Snowflake.
By Ron Miller
While 2020 won’t be remembered fondly by many of us for much of anything, it was a blockbuster year for enterprise M&A with the top 10 deals totaling an astounding $165.2 billion.
Last year’s biggest deal — Salesforce buying Tableau for $15.7 billion — would have only been good for fifth place on this year’s list. And last year’s fourth largest deal, where VMware bought Pivotal for $2.7 billion, wouldn’t have even made this year’s list at all.
The 2020 number was lifted by four chip company deals totaling $106 billion alone. Consider that the largest of these deals at $40 billion matched last year’s entire list. But let’s not forget the software company acquisitions, which accounted for the remainder, three of which were via private equity deals.
It’s worth noting that the $165.2 billion figure doesn’t include the Oracle-TikTok debacle, which remains for now in regulatory limbo and may never emerge from it. Nor does it include two purely fintech deals — Morgan Stanley acquiring E-Trade for $13 billion or Intuit snagging Credit Karma for $7.1 billion — but we did include the $5.3 billion Visa-Plaid deal because as it involved an enterprise-y API company we felt like it fit our criteria.
Keep in mind as you go through this year’s list that it appears to be an outlier year in terms of total deal flow. Most years have maybe one or two megadeals, which I would define as over $10 billion. There were six this year. And there were a host of unlisted deals worth between $1 billion and $3.2 billion, several of which would have made it to the list in quieter years.
Without further adieu, here is this year’s Top 10 deals in M&A organized from smallest to largest:
10. Vista snags Pluralsight for $3.5B
This deal happened just this week as we were writing the story, vaulting into 10th place past the $3.2 billion Twilio-Segment deal. Vista has been active as always and it has added Pluralsight, an online education platform for IT pros with plans to take it private again. At a time when more people are online, this deal seems like a wise move.
9. KKR acquires Epicor for $4.7B
This was one of those under-the-radar private equity deals, but one with a bushel of money changing hands. Epicor, hardly a household name, is a mature ERP company dating back to the early 1970s. The company has been on a rocky financial road for much of the 21st century. This could be one of those deals where KKR sees a way to squeeze life from maintenance contracts. Otherwise this one is hard to figure.
8. Insight Partners nabs Veeam for $5B
In yet another private equity deal, Insight acquired Veeam, a cloud data backup and recovery startup based in Switzerland for $5 billion. This one was one of the earliest deals of 2020 and set the tone for the year. The firm had previously invested $500 million into Veeam and apparently liked what it saw and bought the company. Unlike the Epicor deal, Insight probably plans to invest in the company with an end goal of going public or flipping it for a profit at some point.
By Ron Miller
It’s been more than two years since the Pentagon announced its $10 billion, decade long JEDI cloud contract, which was supposed to provide a pathway to technological modernization for U.S. armed forces. While Microsoft was awarded the contract in October 2019, Amazon went to court to protest that decision, and it has been in legal limbo ever since.
Yesterday marked another twist in this government procurement saga when Amazon released its latest legal volley, asking a judge to set aside the decision to select Microsoft. Its arguments are similar to ones it has made before, but this time takes aim at the Pentagon’s reevaluation process, which after reviewing the contract and selection process, still found in a decision released this past September that Microsoft had won.
Amazon believes that reevaluation was highly flawed, and subject to undue influence, bias and pressure from the president. Based on this, Amazon has asked the court to set aside the award to Microsoft .
The JEDI reevaluations and re-award decision have fallen victim to an Administration that suppresses the good-faith analysis and reasoning of career officials for political reasons — ultimately to the detriment of national security and the efficient and lawful use of taxpayer dollars. DoD has demonstrated again that it has not executed this procurement objectively and in good faith. This re-award should be set aside.
As you might imagine, Frank X. Shaw, corporate vice president for communications at Microsoft does not agree, believing his company won on merit and by providing the best price.
“As the losing bidder, Amazon was informed of our pricing and they realized they’d originally bid too high. They then amended aspects of their bid to achieve a lower price. However, when looking at all the criteria together, the career procurement officials at the DoD decided that given the superior technical advantages and overall value, we continued to offer the best solution,” Shaw said in a statement shared with TechCrunch.
As for Amazon, a spokesperson told TechCrunch, “We are simply seeking a fair and objective review by the court, regarding the technical errors, bias and political interference that blatantly impacted this contract award.”
And so it goes.
The Pentagon announced it was putting out a bid for a $10 billion, decade long contract in 2018, dubbing it JEDI, short for Joint Enterprise Defense Infrastructure. The procurement process has been mired in controversy from the start, and the size and scope of the deal has attracted widespread attention, much more than your typical government contract. It brought with it claims of bias, particularly by Oracle, that the bidding process was designed to favor Amazon.
We are more than two years beyond the original announcement. We are more than year beyond the original award to Microsoft, and it still remains stuck in a court battle with two major tech companies continuing to snipe at one another. With neither likely to give in, it will be up to the court to decide the final outcome, and perhaps end this saga once and for all.
Note: The DoD did not respond to our request for comment. Should that change, we will update the story.
By Ron Miller
BigID has been on the investment fast track, raising $94 million over three rounds that started in January 2018. Today, that investment train kept rolling as the company announced a $70 million Series D on a valuation of $1 billion.
Salesforce Ventures and Tiger Global co-led the round with participation from existing investors Bessemer Venture Partners, Scale Venture Partners and Boldstart Ventures. The company has raised almost $165 million in just over two years.
BigID is attracting this kind of investment by building a security and privacy platform. When I first spoke to CEO and co-founder Dimitri Sirota in 2018, he was developing a data discovery product aimed at helping companies coping with GDPR find the most sensitive data, but since then the startup has greatly expanded the vision and the mission.
“We started shifting I think when we spoke back in September from being this kind of best of breed data discovery privacy to being a platform anchored in data intelligence through our kind of unique approach to discovery and insight,” he said.
That includes the ability for BigID and third parties to build applications on top of the platform they have built, something that might have attracted investor Salesforce Ventures. Salesforce was the first cloud company to offer the ability for third parties to build applications on its platform and sell them in a marketplace. Sirota says that so far their marketplace includes just apps built by BigID, but the plan is to expand it to third party developers in 2021.
While he wasn’t ready to talk about specific revenue growth, he said he expects a material uplift in revenue for this year, and he believes that his investors are looking at the vast market potential here.
He has 235 employees today with plans to boost it to 300 next year. While he stopped hiring for a time in Q2 this year as the pandemic took hold, he says that he never had to resort to layoffs. As he continues hiring in 2021, he is looking at diversity at all levels from the makeup of his board to the executive level to the general staff.
He says that the ability to use the early investments to expand internationally has given them the opportunity to build a more diverse workforce. “We have staff around the world and we did very early […] so we do have diversity within our broader company. But clearly not enough when it came to the board of directors and the executives. So we realized that, and we are trying to change that,” he said.
As for this round, Sirota says like his previous rounds in this cycle he wasn’t necessarily. looking for additional money, but with the pandemic economy still precarious, he took it to keep building out the BigID platform. “We actually have not purposely gone out to raise money since our seed. Every round we’ve done has been preemptive. So it’s been fairly easy,” he told me. In fact, he reports that he now has five years of runway and a much more fully developed platform. He is aiming to accelerate sales and marketing in 2021.
By Ron Miller
The deal, yet to close, is one of the largest enterprise buys of the year: Vista is getting an online training company that helps retrain techies with in-demand skills through online courses in the midst of a booming edtech market. Additionally, the sector is losing one of its few publicly traded companies just two years after it debuted on the stock market.
The Pluralsight acquisition is largely a positive signal that shows the strength of edtech’s capital options as the pandemic continues.
Investors and founders told Techcrunch that the Pluralsight acquisition is largely a positive signal that shows the strength of edtech’s capital options as the pandemic continues.
“What’s happening in edtech is that capital markets are liquidating,” said Deborah Quazzo, managing partner of GSV Advisors.
Quazzo, a seed investor in Pluralsight, said the ability to move fluidly between privately held and publicly held companies is a characteristic of tech sectors with deep capital markets, which is different from edtech’s “old days, where the options to exit were very narrow.”
By Natasha Mascarenhas
Twitter has a lot going on, and it’s not always easy to manage that kind of scale on your own. Today, Amazon announced that Twitter has chosen AWS to run its real-time timelines. It’s a major win for Amazon’s cloud arm.
While the companies have worked together in some capacity for over a decade, this marks the first time that Twitter is tapping AWS to help run its core timelines.
“This expansion onto AWS marks the first time that Twitter is leveraging the public cloud to scale their real-time service. Twitter will rely on the breadth and depth of AWS, including capabilities in compute, containers, storage, and security, to reliably deliver the real-time service with the lowest latency, while continuing to develop and deploy new features to improve how people use Twitter,” the company explained in the announcement.
Parag Agrawal, Chief Technology Officer at Twitter sees this as a way to expand and improve the company’s real-time offerings by taking advantage of AWS’s network of data centers to deliver content closer to the user. “The collaboration with AWS will improve performance for people who use Twitter by enabling us to serve Tweets from data centers closer to our customers at the same time as we leverage the Arm-based architecture of AWS Graviton2 instances. In addition to helping us scale our infrastructure, this work with AWS enables us to ship features faster as we apply AWS’s diverse and growing portfolio of services,” Agrawal said in a statement.
It’s worth noting that Twitter also has a relationship with Google Cloud. In 2018, it announced it was moving its Hadoop clusters to GCP.
This announcement could be considered a case of the rich getting richer as AWS is the leader in the cloud infrastructure market by far with around 33% market share. Microsoft is in second with around 18% and Google is in third with 9%, according to Synergy Research. In its most recent earnings report, Amazon reported that $11.6 billion in AWS revenue putting it on a run rate of over $46 billion.
By Ron Miller
Exoskeleton technology has been one of the more interesting developments in the world of robotics: instead of building machines that replace humans altogether, build hardware that humans can wear to supercharge their abilities. Today, German Bionic, one of the startups designing exoskeletons specifically aimed at industrial and physical applications — it describes its Cray X robot as “the world’s first connected exoskeleton for industrial use,” that is, to help people lifting and working with heavy objects with more power, precision and safety — is announcing a funding round that underscores the opportunity ahead.
The Augsburg, Germany-based company has raised $20 million, funding that it plans to use to continue building out its business, as well as its technology, both in terms of the hardware and the cloud-based software platform, German Bionic IO, that works with the exoskeletons to optimize them and help them “learn” to work better.
The Cray X currently can compensate up to 30 kg for each lifting movement, the company says.
“With our groundbreaking robotic technology that combines human work with the industrial Internet of Things (IIoT), we literally strengthen the shop floor workers’ backs in an immediate and sustainable way. Measurable data underscores that this ultimately increases productivity and the efficiency of the work done,” says Armin G. Schmidt, CEO of German Bionic, in a statement. “The market for smart human-machine systems is huge and we are now perfectly positioned to take a major share and substantially improve numerous working lives.”
The Series A is being co-led by Samsung Catalyst Fund, a strategic investment arm from the hardware giant, and German investor MIG AG, one of the original backers of BioNtech, the breakthrough company that’s developed the first Covid-19 vaccine to be rolled out globally.
Storm Ventures, Benhamou Global Ventures (founded and led by Eric Benhamou, who was the founding CEO of Palm and before that the CEO of 3com), and IT Farm all also participated. Previously, German Bionic had only raised $3.5 million in seed funding (with IT Farm, Atlantic Labs, and individual investors participating).
German Bionic’s rise comes at an interesting moment in terms of how automation and cloud technology are sweeping the world of work. When people talk about the next generation of industrial work, the focus is usually on more automation and the rise of robots to replace humans in different stages of production.
But at the same time, some robotics technologists have worked on another idea. Since we’re still probably still a long way away unable to make robots that are just like humans but better in terms of cognition and all movements, instead, create hardware that doesn’t replace, but augments, live laborers, to help make them stronger while still being able to retain the reliable and fine-tuned expertise of those humans.
The argument for more automation in industrial settings has taken on a more pointed urgency in recent times, with the rise of the Covid-19 global health pandemic: factories have been one of the focus points for outbreaks, and the tendency has been to reduce physical contact and proximity to reduce the spread of the virus.
Exoskeletons don’t really address that aspect of Covid-19 — even if you might require less of them as a result of using exoskeletons, you still require humans to wear them, after all — but the general focus that automation has had has brought more attention to the opportunity of using them.
And in any case, even putting the pandemic to one side, we are still a long way away from cost-effective robots that completely replace humans in all situations. So, as we roll out vaccinations and develop a better understanding of how the virus operates, this still means a strong market for the exoskeleton concept, which analysts (quoted by German Bionic) predict could be worth as much as $20 billion by 2030.
In that context, it’s interesting to consider Samsung as an investor: the company itself, as one of the world’s leading consumer electronics and industrial electronics providers, is a manufacturing powerhouse in its own right. But it also makes equipment for others to use in their industrial work, both as a direct brand and through subsidiaries like Harman. It’s not clear which of these use cases interests Samsung: whether to use the Cray X in its own manufacturing and logistics work, or whether to become a strategic partner in manufacturing these for others. It could easily be both.
“We are pleased to support German Bionic in its continued development of world-leading exoskeleton technology,” says Young Sohn, Corporate President and Chief Strategy Officer for Samsung Electronics and Chairman of the Board, Harman, in a statement. “Exoskeleton technologies have great promise in enhancing human’s health, wellbeing and productivity. We believe that it can be a transformative technology with mass market potential.”
German Bionic describes its Cray X as a “self-learning power suit” aimed primarily at reinforcing lifting movements and to safeguard the wearer from making bad calls that could cause injuries. That could apply both to those in factories, or those in warehouses, or even sole trader mechanics working in your local garage. The company is not disclosing a list of customers, except to note that it includes, in the words of a spokesperson, “a big logistics player, industrial producers and infrastructure hubs.” One of these, the Stuttgart Airport, is highlighted on its site.
“Previously, efficiency gains and health promotion in manual labor were often at odds with one another. German Bionic Systems managed to not only break through this paradigm, but also to make manual labor a part of the digital transformation and elegantly integrate it into the smart factory,” says Michael Motschmann, managing partner with MIG in a statement. “We see immense potential with the company and are particularly happy to be working together with a first-class team of experienced entrepreneurs and engineers.”
Exoskeletons as a concept have been around for over a decade already — MIT developed its first exoskeleton, aimed to help soldiers carrying heavy loads — back in 2007, but advancements in cloud computing, smaller processors for the hardware itself, and artificial intelligence have really opened up the idea of where and how these might augment humans. In addition to industry, some of the other applications have included helping people with knee injuries (or looking to avoid knee injuries!) ski better, and for medical purposes, although the recent pandemic has put a strain on some of these use cases, leading to indefinite pauses in production.
By Ingrid Lunden
Two months ago, Kubernetes observability platform Pixie Labs launched into general availability and announced a $9.15 million Series A funding round led by Benchmark, with participation from GV. Today, the company is announcing its acquisition by New Relic, the publicly traded monitoring and observability platform.
The Pixie Labs brand and product will remain in place and allow New Relic to extend its platform to the edge. From the outset, the Pixie Labs team designed the service to focus on providing observability for cloud-native workloads running on Kubernetes clusters. And while most similar tools focus on operators and IT teams, Pixie set out to build a tool that developers would want to use. Using eBPF, a relatively new way to extend the Linux kernel, the Pixie platform can collect data right at the source and without the need for an agent.
At the core of the Pixie developer experience are what the company calls “Pixie scripts.” These allow developers to write their debugging workflows, though the company also provides its own set of these and anybody in the community can contribute and share them as well. The idea here is to capture a lot of the informal knowledge around how to best debug a given service.
“We’re super excited to bring these companies together because we share a mission to make observability ubiquitous through simplicity,” Bill Staples, New Relic’s Chief Product Officer, told me. “[…] According to IDC, there are 28 million developers in the world. And yet only a fraction of them really practice observability today. We believe it should be easier for every developer to take a data-driven approach to building software and Kubernetes is really the heart of where developers are going to build software.”
It’s worth noting that New Relic already had a solution for monitoring Kubernetes clusters. Pixie, however, will allow it to go significantly deeper into this space. “Pixie goes much, much further in terms of offering on-the-edge, live debugging use cases, the ability to run those Pixie scripts. So it’s an extension on top of the cloud-based monitoring solution we offer today,” Staples said.
The plan is to build integrations into New Relic into Pixie’s platform and to integrate Pixie use cases with New Relic One as well.
Currently, about 300 teams use the Pixie platform. These range from small startups to large enterprises and as Staples and Asgar noted, there was already a substantial overlap between the two customer bases.
As for why he decided to sell, Pixie co-founder (and former Google AI CEO Zain Asgar told me that it was all about accelerating Pixie’s vision.
“We started Pixie to create this magical developer experience that really allows us to redefine how application developers monitor, secure and manage their applications,” Asgar said. “One of the cool things is when we actually met the team at New Relic and we got together with Bill and [New Relic founder and CEO] Lou [Cirne], we realized that there was almost a complete alignment around this vision […], and by joining forces with New Relic, we can actually accelerate this entire process.”
New Relic has recently done a lot of work on open-sourcing various parts of its platform, including its agents, data exporters and some of its tooling. Pixie, too, will now open-source its core tools. Open-sourcing the service was always on the company’s roadmap, but the acquisition now allows it to push this timeline forward.
“We’ll be taking Pixie and making it available to the community through open source, as well as continuing to build out the commercial enterprise-grade offering for it that extends the New Relic one platform,” Staples explained. Asgar added that it’ll take the company a little while to release the code, though.
“The same fundamental quality that got us so excited about Lew as an EIR in 2007, got us excited about Zain and Ishan in 2017 — absolutely brilliant engineers, who know how to build products developers love,” Bessemer Ventures General Partner Eric Vishria told me. “New Relic has always captured developer delight. For all its power, Kubernetes completely upends the monitoring paradigm we’ve lived with for decades. Pixie brings the same — easy to use, quick time to value, no-nonsense approach to the Kubernetes world as New Relic brought to APM. It is a match made in heaven.”
By Frederic Lardinois
At a time when more companies are building machine learning models, Arthur.ai wants to help by ensuring the model accuracy doesn’t begin slipping over time, thereby losing its ability to precisely measure what it was supposed to. As demand for this type of tool has increased this year, in spite of the pandemic, the startup announced a $15 million Series A today.
The investment was led by Index Ventures with help from new comers Acrew and Plexo Capital along with previous investors Homebrew, AME Ventures and Work-Bench.The round comes almost exactly a year after its $3.3 million seed round.
As CEO and co-founder Adam Wenchel explains, data scientists build and test machine learning models in the lab under ideal conditions, but as these models are put into production, the performance can begin to deteriorate under real world scrutiny. Arthur.AI is designed to root out when that happens.
Even as COVID has wreaked havoc throughout much of this year, the company has grown revenue 300% in the last six months smack dab in the middle of all that. “Over the course of 2020, we have begun to open up more and talk to [more] customers. And so we are starting to get some really nice initial customer traction, both in traditional enterprises as well as digital tech companies,” Wenchel told me. With 15 customers, the company is finding that the solution is resonating with companies.
It’s interesting to note that AWS announced a similar tool yesterday at re:Invent called SageMaker Clarify, but Wenchel sees this as more of a validation of what his startup has been trying to do, rather than an existential threat. “I think it helps create awareness, and because this is our 100% focus, our tools go well beyond what the major cloud providers provide,” he said.
Investor Mike Volpi from Index certainly sees the value proposition of this company. “One of the most critical aspects of the AI stack is in the area of performance monitoring and risk mitigation. Simply put, is the AI system behaving like it’s supposed to?,” he wrote in a blog post announcing the funding.
When we spoke a year ago, the company had 8 employees. Today it has 17 and it expects to double again by the end of next year. Wenchel says that as a company whose products looks for different types of bias, it’s especially important to have a diverse workforce. He says that starts with having a diverse investment team and board makeup, which he has been able to achieve, and goes from there.
“We’ve sponsored and work with groups that focus on both general sort of coding for different underrepresented groups as well as specifically AI, and that’s something that we’ll continue to do. And actually I think when we can get together for in person events again, we will really go out there and support great organizations like AI for All and Black Girls Code,” he said. He believes that by working with these groups, it will give the startup a pipeline to underrepresented groups, which they can draw upon for hiring as the needs arise.
Wenchel says that when he can go back to the office, he wants to bring employees back, at least for part of the week for certain kinds of work that will benefit from being in the same space.
By Ron Miller
For many organizations, the shift to cloud computing has played out more realistically as a shift to hybrid architectures, where a company’s data is just as likely to reside in one of a number of clouds, as it might in an on-premise deployment, in a data warehouse, or in a data lake. Today, a startup that has built a more comprehensive way to assess, analyse and use that data is announcing funding as it looks to take on Snowflake, Amazon, Google and others in the area of enterprise data analytics.
Firebolt, which has redesigned the concept of a data warehouse to work more efficiently and at a lower cost, is today announcing that it has raised $37 million from Zeev Ventures, TLV Partners, Bessemer Venture Partners and Angular Ventures. It plans to use the funding to continue developing its product and bring on more customers.
The company is officially “launching” today but — as is the case with so many enterprise startups these days operating in stealth — it has been around for two years already building its platform and signing commercial deals. It now has some 12 large enterprise customers and is “really busy” with new business, said CEO is Eldad Farkash in an interview.
The funding may sound like a large amount for a company that has not really been out in the open, but part of the reason is because of the track record of the founders. Farkash, was one of the founders of SiSense, the successful business intelligence startup, and he has co-founded Firebolt with two others who were on SiSense’s founding team, Saar Bitner as COO and Ariel Yaroshevich as CTO.
At SiSense, these three were coming up against an issue: when you are dealing in terabytes of data, cloud data warehouses were straining to deliver good performance to power its analytics and other tools, and the only way to potentially continue to mitigate that was by piling on more cloud capacity.
Farkash is something of a technical savant and said that he decided to move on and build Firebolt to see if he could tackle this, which he described as a new, difficult, and “meaningful” problem. “The only thing I know how to do is build startups,” he joked.
In his opinion, while data warehousing has been a big breakthrough in how to handle the mass of data that companies now amass and want to use better, it has started to feel like a dated solution.
“Data warehouses are solving yesterday’s problem, which was, ‘How do I migrate to the cloud and deal with scale?’” he said, citing Google’s BigQuery, Amazon’s RedShift and Snowflake as fitting answers for that issue. “We see Firebolt as the new entrant in that space, with a new take on design on technology. We change the discussion from one of scale to one of speed and efficiency.”
The startup claims that its performance is up to 182 times faster than that of other data warehouses. It’s a SQL-based system that works on principles that Farkash said came out of academic research that had yet to be applied anywhere, around how to handle data in a lighter way, using new techniques in compression and how data is parsed. Data lakes in turn can be connected up with a wider data ecosystem, and what it translates to is a much smaller requirement for cloud capacity.
This is not just a problem at SiSense. With enterprise data continuing to grow exponentially, cloud analytics is growing with it, and is estimated by 2025 to be a $65 billion market, Firebolt estimates.
Still, Farkash said the Firebolt concept was initially a challenging sell even to the engineers that it eventually hired to build out the business: it required building completely new warehouses from the ground up to run the platform, five of which exist today and will be augmented with more, on the back of this funding, he said.
And it should be pointed out that its competitors are not exactly sitting still either. Just yesterday, Dataform announced that it had been acquired by Google to help it build out and run better performance at BigQuery.
“Firebolt created a SaaS product that changes the analytics experience over big data sets” Oren Zeev of Zeev Ventures said in a statement. “The pace of innovation in the big data space has lagged the explosion in data growth rendering most data warehousing solutions too slow, too expensive, or too complex to scale. Firebolt takes cloud data warehousing to the next level by offering the world’s most powerful analytical engine. This means companies can now analyze multi Terabyte / Petabyte data sets easily at significantly lower costs and provide a truly interactive user experience to their employees, customers or anyone who needs to access the data.”
By Ingrid Lunden