Oct
27
2020
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Rockset announces $40M Series B as data analytics solution gains momentum

Rockset, a cloud-native analytics company, announced a $40 million Series B investment today led by Sequoia with help from Greylock, the same two firms that financed its Series A. The startup has now raised a total of $61.5 million, according to the company.

As co-founder and CEO Venkat Venkataramani told me at the time of the Series A in 2018, there is a lot of manual work involved in getting data ready to use and it acts as a roadblock to getting to real insight. He hoped to change that with Rockset.

“We’re building out our service with innovative architecture and unique capabilities that allows full-featured fast SQL directly on raw data. And we’re offering this as a service. So developers and data scientists can go from useful data in any shape, any form to useful applications in a matter of minutes. And it would take months today,” he told me in 2018.

In fact, “Rockset automatically builds a converged index on any data — including structured, semi-structured, geographical and time series data — for high-performance search and analytics at scale,” the company explained.

It seems to be resonating with investors and customers alike as the company raised a healthy B round and business is booming. Rockset supplied a few metrics to illustrate this. For starters, revenue grew 290% in the last quarter. While they didn’t provide any foundational numbers for that percentage growth, it is obviously substantial.

In addition, the startup reports adding hundreds of new users, again not nailing down any specific numbers, and queries on the platform are up 313%. Without specifics, it’s hard to know what that means, but that seems like healthy growth for an early stage startup, especially in this economy.

Mike Vernal, a partner at Sequoia, sees a company helping to get data to work faster than other solutions, which require a lot of handling first. “Rockset, with its innovative new approach to indexing data, has quickly emerged as a true leader for real-time analytics in the cloud. I’m thrilled to partner with the company through its next phase of growth,” Vernal said in a statement.

The company was founded in 2016 by the creators of RocksDB. The startup had previously raised a $3 million seed round when they launched the company and the $18.5 million A round in 2018.

Sep
15
2020
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Data virtualization service Varada raises $12M

Varada, a Tel Aviv-based startup that focuses on making it easier for businesses to query data across services, today announced that it has raised a $12 million Series A round led by Israeli early-stage fund MizMaa Ventures, with participation by Gefen Capital.

“If you look at the storage aspect for big data, there’s always innovation, but we can put a lot of data in one place,” Varada CEO and co-founder Eran Vanounou told me. “But translating data into insight? It’s so hard. It’s costly. It’s slow. It’s complicated.”

That’s a lesson he learned during his time as CTO of LivePerson, which he described as a classic big data company. And just like at LivePerson, where the team had to reinvent the wheel to solve its data problems, again and again, every company — and not just the large enterprises — now struggles with managing their data and getting insights out of it, Vanounou argued.

varada architecture diagram

Image Credits: Varada

The rest of the founding team, David Krakov, Roman Vainbrand and Tal Ben-Moshe, already had a lot of experience in dealing with these problems, too, with Ben-Moshe having served at the chief software architect of Dell EMC’s XtremIO flash array unit, for example. They built the system for indexing big data that’s at the core of Varada’s platform (with the open-source Presto SQL query engine being one of the other cornerstones).

Image Credits: Varada

Essentially, Varada embraces the idea of data lakes and enriches that with its indexing capabilities. And those indexing capabilities is where Varada’s smarts can be found. As Vanounou explained, the company is using a machine learning system to understand when users tend to run certain workloads, and then caches the data ahead of time, making the system far faster than its competitors.

“If you think about big organizations and think about the workloads and the queries, what happens during the morning time is different from evening time. What happened yesterday is not what happened today. What happened on a rainy day is not what happened on a shiny day. […] We listen to what’s going on and we optimize. We leverage the indexing technology. We index what is needed when it is needed.”

That helps speed up queries, but it also means less data has to be replicated, which also brings down the cost. As MizMaa’s Aaron Applbaum noted, since Varada is not a SaaS solution, the buyers still get all of the discounts from their cloud providers, too.

In addition, the system can allocate resources intelligently so that different users can tap into different amounts of bandwidth. You can tell it to give customers more bandwidth than your financial analysts, for example.

“Data is growing like crazy: in volume, in scale, in complexity, in who requires it and what the business intelligence uses are, what the API uses are,” Applbaum said when I asked him why he decided to invest. “And compute is getting slightly cheaper, but not really, and storage is getting cheaper. So if you can make the trade-off to store more stuff, and access things more intelligently, more quickly, more agile — that was the basis of our thesis, as long as you can do it without compromising performance.”

Varada, with its team of experienced executives, architects and engineers, ticked a lot of the company’s boxes in this regard, but he also noted that unlike some other Israeli startups, the team understood that it had to listen to customers and understand their needs, too.

“In Israel, you have a history — and it’s become less and less the case — but historically, there’s a joke that it’s ‘ready, fire, aim.’ You build a technology, you’ve got this beautiful thing and you’re like, ‘alright, we did it,’ but without listening to the needs of the customer,” he explained.

The Varada team is not afraid to compare itself to Snowflake, which at least at first glance seems to make similar promises. Vananou praised the company for opening up the data warehousing market and proving that people are willing to pay for good analytics. But he argues that Varada’s approach is fundamentally different.

“We embrace the data lake. So if you are Mr. Customer, your data is your data. We’re not going to take it, move it, copy it. This is your single source of truth,” he said. And in addition, the data can stay in the company’s virtual private cloud. He also argues that Varada isn’t so much focused on the business users but the technologists inside a company.

 

May
07
2020
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Harbr emerges from stealth to help build online data marketplaces

Harbr co-founder Anthony Cosgrove has been working with data for over 15 years, so he has an inkling of some of the problems associated with pulling data together in a way that makes it easy for others to consume, whether internally or externally. Like many entrepreneurs before him, he decided to start a company to solve that problem, and today it came out of stealth.

Cosgrove explained that in his experience, data platforms of the past had several problems. “They were too slow. They were too expensive and too risky, and when you got the data you then ended up working in a silo with really no repeatability of anything that you did for anybody else in your organization,” he explained.

Cosgrove started Harbr because he saw a dearth of tools to help with these issues. “We wanted to create an environment where organizations could share their data, collaborate on that data and create new versions of that data that were really optimized for very specific use cases,” he said.

For now, the company is concentrating on large data vendors, helping them package and monetize the data they produce as a business more efficiently, but Cosgrove sees a time where he could be helping other firms that produce data as a byproduct of conducting business to monetize that data more easily.

He says these big data businesses generally lack the agility to package data in ways that make sense for each customer, and his company’s product should help solve that. “They’re able to start working directly with their customers to move away from kind of sending data to actually selling services, models or insights, which is what customers really want,” he said.

One other unique aspect of the tool is that it is a true platform, meaning that you are not just restricted to the data in your system. You can pull together other data sources as well, and that could make for even more interesting ways to package the data for customers.

The company launched in London in 2017 and spent some time building the product. It recently opened offices in the United States and currently has 30 employees divided between the two locations. It has raised $6.5 million in seed capital led by Boldstart Ventures .

Apr
22
2020
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Fishtown Analytics raises $12.9M Series A for its open-source analytics engineering tool

Philadelphia-based Fishtown Analytics, the company behind the popular open-source data engineering tool dbt, today announced that it has raised a $12.9 million Series A round led by Andreessen Horowitz, with the firm’s general partner Martin Casado joining the company’s board.

“I wrote this blog post in early 2016, essentially saying that analysts needed to work in a fundamentally different way,” Fishtown founder and CEO Tristan Handy told me, when I asked him about how the product came to be. “They needed to work in a way that much more closely mirrored the way the software engineers work and software engineers have been figuring this shit out for years and data analysts are still like sending each other Microsoft Excel docs over email.”

The dbt open-source project forms the basis of this. It allows anyone who can write SQL queries to transform data and then load it into their preferred analytics tools. As such, it sits in-between data warehouses and the tools that load data into them on one end, and specialized analytics tools on the other.

As Casado noted when I talked to him about the investment, data warehouses have now made it affordable for businesses to store all of their data before it is transformed. So what was traditionally “extract, transform, load” (ETL) has now become “extract, load, transform” (ELT). Andreessen Horowitz is already invested in Fivetran, which helps businesses move their data into their warehouses, so it makes sense for the firm to also tackle the other side of this business.

“Dbt is, as far as we can tell, the leading community for transformation and it’s a company we’ve been tracking for at least a year,” Casado said. He also argued that data analysts — unlike data scientists — are not really catered to as a group.

Before this round, Fishtown hadn’t raised a lot of money, even though it has been around for a few years now, except for a small SAFE round from Amplify.

But Handy argued that the company needed this time to prove that it was on to something and build a community. That community now consists of more than 1,700 companies that use the dbt project in some form and over 5,000 people in the dbt Slack community. Fishtown also now has over 250 dbt Cloud customers and the company signed up a number of big enterprise clients earlier this year. With that, the company needed to raise money to expand and also better service its current list of customers.

“We live in Philadelphia. The cost of living is low here and none of us really care to make a quadro-billion dollars, but we do want to answer the question of how do we best serve the community,” Handy said. “And for the first time, in the early part of the year, we were like, holy shit, we can’t keep up with all of the stuff that people need from us.”

The company plans to expand the team from 25 to 50 employees in 2020 and with those, the team plans to improve and expand the product, especially its IDE for data analysts, which Handy admitted could use a bit more polish.

Apr
15
2020
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Pinpoint releases dashboard to bring visibility to software engineering operations

As companies look for better ways to understand how different departments work at a granular level, engineering has traditionally been a black box of siloed data. Pinpoint, an Austin-based startup, has been working on a platform to bring this information into a single view, and today it released a dashboard to help companies understand what’s happening across software engineering from an operational perspective.

Jeff Haynie, co-founder and CEO at Pinpoint says the company’s mission for the last two years has been giving greater visibility into the  engineering department, something he says is even more important in the current context with workers spread out at home.

“Companies give engineering a bunch of money, and they build a bunch of amazing things, but in the end, it is just a black box, and we really don’t know what happens,” Haynie said. He says his company has been working to take all of the data to try and contextualize it, bring it together and correlate that information.

Today, they are introducing a dashboard that takes what they’ve been building and pulls it together into a single view, which is 100% self-serve. Prior to this, you needed a bunch of hand-holding from Pinpoint personnel to get it up and running, but today you can download the product and sign into your various services such as your git repository, your CI/CD software, your IDE and so forth.

It also provides a way for engineering personnel to communicate with one another without leaving the tool.

Pinpoint software engineering dashboard. Image Credit: Pinpoint

“Obviously, we will handhold and help people as they need it, and we have an enterprise version of the product with a higher level of SLA, and we have a customer success team to do that, but we’ve really focused this new release on purely self service,” Haynie said.

What’s more, while there is a free version already for teams under 10 people that’s free forever, with the release of today’s product, the company is offering unlimited access to the dashboard for free for three months.

Haynie says they’re like any startup right now, but having experience with several other startups and having lived through 9/11, the dot-com crash, 2008 and so forth, he knows how to hunker down and preserve cash. At the same time, he says they are seeing a lot of in-bound interest in the product, and they wanted to come up with a creative way to help customers through this crisis, while putting the product out there for people to use.

“We’re like any other startup or any other business frankly at this point: we’re nervous and scared. How do you survive this [and how long will it last]? The other side of it is that we’re rushing to take advantage of this inbound interest that we’re getting and trying to sort of seize the opportunity and try to be creative about how we help them.”

The startup hopes that, if companies find the product useful, after three months they won’t mind paying for the full version. For now, it’s just putting it out there for free and seeing what happens with it — just another startup trying to find a way through this crisis.

Apr
09
2020
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Free tool helps manufacturers map where COVID-19 impacts supply chain

Assent Compliance, a company that helps large manufacturers like GE and Rolls Royce manage complex supply chains through an online data exchange, announced a new tool this week that lets any company, whether they’re a customer or not, upload bills of materials and see on a map where COVID-19 is having an impact on their supply chain.

Company co-founder Matt Whitteker, says the Ottawa startup focuses on supply chain data management, which means it has the data and the tooling to develop a data-driven supply chain map based on WHO data identifying COVID hotspots. He believes that his is the only company to have done this.

“We’re the only ones that have taken supply chain data and applied it to this particular pandemic. And it’s something that’s really native to our platform. We have all that data on hand — we have location data for suppliers. So it’s just a matter of applying that with third-party data sources (like the WHO data), and then extracting valuable business intelligence from it,” he said.

If you want to participate, you simply go to the company website and fill out a form. A customer success employee will contact you and walk you through the process of uploading your data to the platform. Once they have your data, they generate a map showing the parts of the world where your supply chain is most likely to be disrupted, identifying the level of risk based on your individual data.

The company captures supply chain data as part of the act of doing business with 1,000 customers and 500,000 suppliers currently on their platform. “When companies are manufacturing products they have what’s called a bill of materials, kind of like a recipe. And companies upload their bill of materials that basically outlines all their parts, components and commodities, and who they get them from, which basically represents their supply chain,” Whitteker explained.

After the company uploads the bill of materials, Assent opens a portal for the companies to exchange data, which might be tax forms, proof of sourcing or any kind of information and documentation the manufacturer needs to comply with legal and regulatory rules around procurement of a given part.

They decided to start building the COVID-19 map application when they recognized that this was going to have the biggest supply chain disruption the world has seen since World War II. It took about a month to build it. It went into beta last week with customers and over 350 signed up in the first two hours. This week, they made the tool generally available to anyone, even non-customers, for free.

The company was founded in 2016 and has raised $220 million, according to Whitteker.

Mar
03
2020
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Datastax acquires The Last Pickle

Data management company Datastax, one of the largest contributors to the Apache Cassandra project, today announced that it has acquired The Last Pickle (and no, I don’t know what’s up with that name either), a New Zealand-based Cassandra consulting and services firm that’s behind a number of popular open-source tools for the distributed NoSQL database.

As Datastax Chief Strategy Officer Sam Ramji, who you may remember from his recent tenure at Apigee, the Cloud Foundry Foundation, Google and Autodesk, told me, The Last Pickle is one of the premier Apache Cassandra consulting and services companies. The team there has been building Cassandra-based open source solutions for the likes of Spotify, T Mobile and AT&T since it was founded back in 2012. And while The Last Pickle is based in New Zealand, the company has engineers all over the world that do the heavy lifting and help these companies successfully implement the Cassandra database technology.

It’s worth mentioning that Last Pickle CEO Aaron Morton first discovered Cassandra when he worked for WETA Digital on the special effects for Avatar, where the team used Cassandra to allow the VFX artists to store their data.

“There’s two parts to what they do,” Ramji explained. “One is the very visible consulting, which has led them to become world experts in the operation of Cassandra. So as we automate Cassandra and as we improve the operability of the project with enterprises, their embodied wisdom about how to operate and scale Apache Cassandra is as good as it gets — the best in the world.” And The Last Pickle’s experience in building systems with tens of thousands of nodes — and the challenges that its customers face — is something Datastax can then offer to its customers as well.

And Datastax, of course, also plans to productize The Last Pickle’s open-source tools like the automated repair tool Reaper and the Medusa backup and restore system.

As both Ramji and Datastax VP of Engineering Josh McKenzie stressed, Cassandra has seen a lot of commercial development in recent years, with the likes of AWS now offering a managed Cassandra service, for example, but there wasn’t all that much hype around the project anymore. But they argue that’s a good thing. Now that it is over ten years old, Cassandra has been battle-hardened. For the last ten years, Ramji argues, the industry tried to figure out what the de factor standard for scale-out computing should be. By 2019, it became clear that Kubernetes was the answer to that.

“This next decade is about what is the de facto standard for scale-out data? We think that’s got certain affordances, certain structural needs and we think that the decades that Cassandra has spent getting harden puts it in a position to be data for that wave.”

McKenzie also noted that Cassandra provides users with a number of built-in features like support for mutiple data centers and geo-replication, rolling updates and live scaling, as well as wide support across programming languages, give it a number of advantages over competing databases.

“It’s easy to forget how much Cassandra gives you for free just based on its architecture,” he said. “Losing the power in an entire datacenter, upgrading the version of the database, hardware failing every day? No problem. The cluster is 100 percent always still up and available. The tooling and expertise of The Last Pickle really help bring all this distributed and resilient power into the hands of the masses.”

The two companies did not disclose the price of the acquisition.

Jun
27
2019
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Fungible raises $200 million led by SoftBank Vision Fund to help companies handle increasingly massive amounts of data

Fungible, a startup that wants to help data centers cope with the increasingly massive amounts of data produced by new technologies, has raised a $200 million Series C led by SoftBank Vision Fund, with participation from Norwest Venture Partners and its existing investors. As part of the round, SoftBank Investment Advisers senior managing partner Deep Nishar will join Fungible’s board of directors.

Founded in 2015, Fungible now counts about 200 employees and has raised more than $300 million in total funding. Its other investors include Battery Ventures, Mayfield Fund, Redline Capital and Walden Riverwood Ventures. Its new capital will be used to speed up product development. The company’s founders, CEO Pradeep Sindhu and Bertrand Serlet, say Fungible will release more information later this year about when its data processing units will be available and their on-boarding process, which they say will not require clients to change their existing applications, networking or server design.

Sindu previously founded Juniper Networks, where he held roles as chief scientist and CEO. Serlet was senior vice president of software engineering at Apple before leaving in 2011 and founding Upthere, a storage startup that was acquired by Western Digital in 2017. Sindu and Serlet describe Fungible’s objective as pivoting data centers from a “compute-centric” model to a data-centric one. While the company is often asked if they consider Intel and Nvidia competitors, they say Fungible Data Processing Units (DPU) complement tech, including central and graphics processing units, from other chip makers.

Sindhu describes Fungible’s DPUs as a new building block in data center infrastructure, allowing them to handle larger amounts of data more efficiently and also potentially enabling new kinds of applications. Its DPUs are fully programmable and connect with standard IPs over Ethernet local area networks and local buses, like the PCI Express, that in turn connect to CPUs, GPUs and storage. Placed between the two, the DPUs act like a “super-charged data traffic controller,” performing computations offloaded by the CPUs and GPUs, as well as converting the IP connection into high-speed data center fabric.

This better prepares data centers for the enormous amounts of data generated by new technology, including self-driving cars, and industries such as personalized healthcare, financial services, cloud gaming, agriculture, call centers and manufacturing, says Sindu.

In a press statement, Nishar said “As the global data explosion and AI revolution unfold, global computing, storage and networking infrastructure are undergoing a fundamental transformation. Fungible’s products enable data centers to leverage their existing hardware infrastructure and benefit from these new technology paradigms. We look forward to partnering with the company’s visionary and accomplished management team as they power the next generation of data centers.”

Jun
10
2019
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With Tableau and Mulesoft, Salesforce gains full view of enterprise data

Back in the 2010 timeframe, it was common to say that content was king, but after watching Google buy Looker for $2.6 billion last week and Salesforce nab Tableau for $15.7 billion this morning, it’s clear that data has ascended to the throne in a business context.

We have been hearing about Big Data for years, but we’ve probably reached a point in 2019 where the data onslaught is really having an impact on business. If you can find the key data nuggets in the big data pile, it can clearly be a competitive advantage, and companies like Google and Salesforce are pulling out their checkbooks to make sure they are in a position to help you out.

While Google, as a cloud infrastructure vendor, is trying to help companies on its platform and across the cloud understand and visualize all that data, Salesforce as a SaaS vendor might have a different reason — one that might surprise you — given that Salesforce was born in the cloud. But perhaps it recognizes something fundamental. If it truly wants to own the enterprise, it has to have a hybrid story, and with Mulesoft and Tableau, that’s precisely what it has — and why it was willing to spend around $23 billion to get it.

Making connections

Certainly, Salesforce chairman Marc Benioff has no trouble seeing the connections between his two big purchases over the last year. He sees the combination of Mulesoft connecting to the data sources and Tableau providing a way to visualize as a “beautiful thing.”

May
02
2019
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Couchbase’s mobile database gets built-in ML and enhanced synchronization features

Couchbase, the company behind the eponymous NoSQL database, announced a major update to its mobile database today that brings some machine learning smarts, as well as improved synchronization features and enhanced stats and logging support, to the software.

“We’ve led the innovation and data management at the edge since the release of our mobile database five years ago,” Couchbase’s VP of Engineering Wayne Carter told me. “And we’re excited that others are doing that now. We feel that it’s very, very important for businesses to be able to utilize these emerging technologies that do sit on the edge to drive their businesses forward, and both making their employees more effective and their customer experience better.”

The latter part is what drove a lot of today’s updates, Carter noted. He also believes that the database is the right place to do some machine learning. So with this release, the company is adding predictive queries to its mobile database. This new API allows mobile apps to take pre-trained machine learning models and run predictive queries against the data that is stored locally. This would allow a retailer to create a tool that can use a phone’s camera to figure out what part a customer is looking for.

To support these predictive queries, Couchbase mobile is also getting support for predictive indexes. “Predictive indexes allow you to create an index on prediction, enabling correlation of real-time predictions with application data in milliseconds,” Carter said. In many ways, that’s also the unique value proposition for bringing machine learning into the database. “What you really need to do is you need to utilize the unique values of a database to be able to deliver the answer to those real-time questions within milliseconds,” explained Carter.

The other major new feature in this release is delta synchronization, which allows businesses to push far smaller updates to the databases on their employees’ mobile devices. That’s because they only have to receive the information that changed instead of a full updated database. Carter says this was a highly requested feature, but until now, the company always had to prioritize work on other components of Couchbase.

This is an especially useful feature for the company’s retail customers, a vertical where it has been quite successful. These users need to keep their catalogs up to data and quite a few of them supply their employees with mobile devices to help shoppers. Rumor has it that Apple, too, is a Couchbase user.

The update also includes a few new features that will be more of interest to operators, including advanced stats reporting and enhanced logging support.

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