Personal blog of Yzmir Ramirez

Cloudera was once one of the hottest Hadoop startups, but over time the shine has come off that market, and today it went private as KKR and Clayton, Dubilier & Rice, a pair of private equity firms, announced they intended to purchase Cloudera for $5.3 billion. The company has a market cap of around $3.7 billion.

Cloudera and Hortonworks, two key startups in the Hadoop space, merged in 2018 for $5.2 billion. Cloudera was likely under pressure from activist investor Carl Icahn, who took an 18% stake in the company in 2019 and now stands to gain from the sale, which the company stated represented a 24% premium for shareholders at $16 a share. Prior to the market opening this morning, the stock was sitting at $12.86.

Back in the day, about a decade ago, when Hadoop was the way to process big data, venture money was pouring into the space. Over time it lost some of its glow. That’s because it was highly labor intensive, and companies began moving to the cloud and looking at software services that did more of the work for them. More modern technologies like data lakes began replacing it and the company recognized that it must change its approach to survive in the modern data processing marketplace.

Cloudera CEO Rob Bearden sees the transaction as a way to do just that. “We believe that as a private company with the expertise and support of experienced investors such as CD&R and KKR, Cloudera will have the resources and flexibility to drive product-led growth and expand our addressable market opportunity,” Bearden said in a statement.

While there is a lot of executive jargon in that statement, it basically means that the company hopes that these private equity firms can give it some additional financial resources to move toward a more modern approach for processing large amounts of data.

While it was at it, Cloudera also announced a couple of acquisitions of its own to help it move toward that modernization goal. For starters, it grabbed Datacoral, a startup that abstracts away the infrastructure needed to build a data pipeline without using code. It also acquired Cazena, a startup that helps customers build cloud data lakes, giving the company a more modern approach to processing big data. Bearden sees both of these services helping Cloudera reposition itself in the big data self-service market

“Both businesses will enable our combined customers to enjoy a reduction in complexity and faster time to value for their data initiatives, leading to improved insights, faster innovation, and stronger engagements with their customers and partners,” Bearden said in a statement.

Cloudera went public in 2018, closing at $18.09 a share after raising $1 billion. The vast majority of that was a $740 million investment from Intel Capital in 2014. It’s worth noting that Cloudera bought Intel’s stake in the company at the end of last year for $314 million.

Hortonworks raised another $248 million. A third Hadoop startup, MapR, raised $280 million. The company’s assets were sold rather unceremoniously to HPE in 2019 for a price pegged at under $50 million, showing just how far the market has fallen since its earlier glory days.

The Cloudera deal includes a brief “go shop” provision that allows it to continue to look for a better deal. It’s doubtful it will find one, and if it doesn’t the transaction with KKR and CD&R is expected to close in the second half of this year subject to typical regulatory review. The company will announce earnings later today.

Datacoral aims to make it easier for enterprises to build data products by abstracting away all of the complex infrastructure to organize and process data. The company today announced that it has raised a $10 million Series A financing round led by Madrona Venture Group, with participation from Social Capital, which also led its $4 million seed round in 2017.

Datacoral CEO Raghu Murthy tells me that the company plans to use the new funding to grow its business team in order to be able to reach more potential customers and to expand its engineering team.

The promise of Datacoral is to offer enterprises an end-to-end data infrastructure that will allow businesses and their data scientists to focus on generating insights over having to manage and integrate their data sources. Because nobody wants to move large amounts of data between clouds — and take the performance hit that comes with that — Datacoral sits right inside a company’s AWS systems. It’s still a fully managed service, though, but the data is encrypted and never leaves a customer’s virtual private cloud.

“As companies look to their data to deliver value – data practitioners are finding that configuring and managing their own data infrastructure is a time-consuming job that is expensive and fraught with errors,” said Murthy. “We have built a platform that easily and automatically brings together data from different applications and databases, organizes that data in any query engine and acts on insights that are critical to running their business. A crucial component is that it works securely and privately within the customer’s cloud, instead of us ingesting data from their systems.”

Murthy was an early engineer at Facebook and part of the team that was in charge of scaling that company’s data infrastructure and ran a part of the engineering team at Bebop, Diane Greene’s startup that was later acquired by Google.

To scale Datacoral, the team is betting on a serverless platform itself. It’s making extensive use of AWS Lambda and other PaaS solutions on Amazon’s cloud computing platform. That doesn’t mean Datacoral plans to only support AWS, though. Murthy tells me that Azure support is next. “We plan to work across all of the top cloud providers by leveraging their unique services and provide a consistent ‘data-centric interface’ to our customers — essentially be ‘cloud best’ instead of ‘cloud agnostic.’”

Current Datacoral users include Greenhouse, Front, Ezetap, Swing Education, mPharma and Mason Finance.