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Google brings IBM Power Systems to its cloud

As Google Cloud looks to convince more enterprises to move to its platform, it needs to be able to give businesses an onramp for their existing legacy infrastructure and workloads that they can’t easily replace or move to the cloud. A lot of those workloads run on IBM Power Systems with their Power processors, and, until now, IBM was essentially the only vendor that offered cloud-based Power systems. Now, however, Google is also getting into this game by partnering with IBM to launch IBM Power Systems on Google Cloud.

“Enterprises looking to the cloud to modernize their existing infrastructure and streamline their business processes have many options,” writes Kevin Ichhpurani, Google Cloud’s corporate VP for its global ecosystem, in today’s announcement. “At one end of the spectrum, some organizations are re-platforming entire legacy systems to adopt the cloud. Many others, however, want to continue leveraging their existing infrastructure while still benefiting from the cloud’s flexible consumption model, scalability, and new advancements in areas like artificial intelligence, machine learning, and analytics.”

Power Systems support obviously fits in well here, given that many companies use them for mission-critical workloads based on SAP and Oracle applications and databases. With this, they can take those workloads and slowly move them to the cloud, without having to re-engineer their applications and infrastructure. Power Systems on Google Cloud is obviously integrated with Google’s services and billing tools.

This is very much an enterprise offering, without a published pricing sheet. Chances are, given the cost of a Power-based server, you’re not looking at a bargain, per-minute price here.

Because IBM has its own cloud offering, it’s a bit odd to see it work with Google to bring its servers to a competing cloud — though it surely wants to sell more Power servers. The move makes perfect sense for Google Cloud, though, which is on a mission to bring more enterprise workloads to its platform. Any roadblock the company can remove works in its favor, and, as enterprises get comfortable with its platform, they’ll likely bring other workloads to it over time.

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Sisense nabs $100M at a $1B+ valuation for accessible big data business analytics

Sisense, an enterprise startup that has built a business analytics business out of the premise of making big data as accessible as possible to users — whether it be through graphics on mobile or desktop apps, or spoken through Alexa — is announcing a big round of funding today and a large jump in valuation to underscore its traction. The company has picked up $100 million in a growth round of funding that catapults Sisense’s valuation to over $1 billion, funding that it plans to use to continue building out its tech, as well as for sales, marketing and development efforts.

For context, this is a huge jump: The company was valued at only around $325 million in 2016 when it raised a Series E, according to PitchBook. (It did not disclose valuation in 2018, when it raised a venture round of $80 million.) It now has some 2,000 customers, including Tinder, Philips, Nasdaq and the Salvation Army.

This latest round is being led by the high-profile enterprise investor Insight Venture Partners, with Access Industries, Bessemer Venture Partners, Battery Ventures, DFJ Growth and others also participating. The Access investment was made via Claltech in Israel, and it seems that this led to some details of this getting leaked out as rumors in recent days. Insight is in the news today for another big deal: Wearing its private equity hat, the firm acquired Veeam for $5 billion. (And that speaks to a particular kind of trajectory for enterprise companies that the firm backs: Veeam had already been a part of Insight’s venture portfolio.)

Mature enterprise startups have proven their business cases are going to be an ongoing theme in this year’s fundraising stories, and Sisense is part of that theme, with annual recurring revenues of over $100 million speaking to its stability and current strength. The company has also made some key acquisitions to boost its business, such as the acquisition of Periscope Data last year (coincidentally, also for $100 million, I understand).

Its rise also speaks to a different kind of trend in the market: In the wider world of business intelligence, there is an increasing demand for more digestible data in order to better tap advances in data analytics to use it across organizations. This was also one of the big reasons why Salesforce gobbled up Tableau last year for a slightly higher price: $15.7 billion.

Sisense, bringing in both sleek end user products but also a strong theme of harnessing the latest developments in areas like machine learning and AI to crunch the data and order it in the first place, represents a smaller and more fleet of foot alternative for its customers. “We found a way to make accessing data extremely simple, mashing it together in a logical way and embedding it in every logical place,” explained CEO Amir Orad to us in 2018.

“We have enjoyed watching the Sisense momentum in the past 12 months, the traction from its customers as well as from industry leading analysts for the company’s cloud native platform and new AI capabilities. That coupled with seeing more traction and success with leading companies in our portfolio and outside, led us to want to continue and grow our relationship with the company and lead this funding round,” said Jeff Horing, managing director at Insight Venture Partners, in a statement.

To note, Access Industries is an interesting backer which might also potentially shape up to be strategic, given its ownership of Warner Music Group, Alibaba, Facebook, Square, Spotify, Deezer, Snap and Zalando.

“Given our investments in market leading companies across diverse industries, we realize the value in analytics and machine learning and we could not be more excited about Sisense’s trajectory and traction in the market,” added Claltech’s Daniel Shinar in a statement.

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DataRobot is acquiring Paxata to add data prep to machine learning platform

DataRobot, a company best known for creating automated machine learning models known as AutoML, announced today that it intends to acquire Paxata, a data prep platform startup. The companies did not reveal the purchase price.

Paxata raised a total of $90 million before today’s acquisition, according to the company.

Up until now, DataRobot has concentrated mostly on the machine learning and data science aspect of the workflow — building and testing the model, then putting it into production. The data prep was left to other vendors like Paxata, but DataRobot, which raised $206 million in September, saw an opportunity to fill in a gap in their platform with Paxata.

“We’ve identified, because we’ve been focused on machine learning for so long, a number of key data prep capabilities that are required for machine learning to be successful. And so we see an opportunity to really build out a unique and compelling data prep for machine learning offering that’s powered by the Paxata product, but takes the knowledge and understanding and the integration with the machine learning platform from DataRobot,” Phil Gurbacki, SVP of product development and customer experience at DataRobot, told TechCrunch.

Prakash Nanduri, CEO and co-founder at Paxata, says the two companies were a great fit and it made a lot of sense to come together. “DataRobot has got a significant number of customers, and every one of their customers have a data and information management problem. For us, the deal allows us to rapidly increase the number of customers that are able to go from data to value. By coming together, the value to the customer is increased at an exponential level,” he explained.

DataRobot is based in Boston, while Paxata is in Redwood City, Calif. The plan moving forward is to make Paxata a west coast office, and all of the company’s almost 100 employees will become part of DataRobot when the deal closes.

While the two companies are working together to integrate Paxata more fully into the DataRobot platform, the companies also plan to let Paxata continue to exist as a standalone product.

DataRobot has raised more than $431 million, according to PitchBook data. It raised $206 million of that in its last round. At the time, the company indicated it would be looking for acquisition opportunities when it made sense.

This match-up seems particularly good, given how well the two companies’ capabilities complement one another, and how much customer overlap they have. The deal is expected to close before the end of the year.