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SOFTWARE (NON-INTERNET/MOBILE) | Business Intelligence, Analytics & Performance Mgmt Software

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About Alpine Data Labs

Alpine Data Labs offers a collaborative, code-free solution for Advanced Analytics for Big Data and Hadoop. With Alpine Data, data scientists and business analysts can work with large data sets, develop, refine models and collaborate at scale without having to use code or download software.On November 15, 2017, Alpine Data Labs was acquired by TIBCO. The terms of the transaction were not disclosed.

Alpine Data Labs Headquarter Location

340 Brennan St Suite 100

San Francisco, California, 94107,

United States


Latest Alpine Data Labs News

Tibco buys Information Builders to combine data, analytics product portfolios

Oct 23, 2020

Information Builders has data quality, prep and integration products that will support what Tibco calls its hyperconverged analytics strategy. According to Tibco, the purchase will give the company more analytics software for its portfolio as well as an installed base of companies. Tibco went private in 2014 and has made a series of acquisitions since including Statistica, Alpine Data Labs and SnappyData. Goldman Sachs invested in Information Builders in 2017. Both companies aim to deliver the right data and information at the right time, but Information Builders has data quality, prep and integration products that will support what Tibco calls its hyperconverged analytics strategy, which revolves of making sense of a hodge-podge of data repositories. Information Builders will also give Tibco a customer base in healthcare, financial services, manufacturing and retail.

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Expert Collections containing Alpine Data Labs

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Alpine Data Labs is included in 2 Expert Collections, including Banking.



380 items

Startups providing solutions to banks to automate processes and operations.


Artificial Intelligence

8,327 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

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