Looker Expands Business Analytics to Big Data Technologies with Presto & Spark SQL Support

Looker unlocks further value in Hadoop by putting data in the hands of decision-makers

Feb 09, 2016, 08:30 ET from Looker

SANTA CRUZ, Calif., Feb. 9, 2016 /PRNewswire/ -- Looker, the business intelligence platform that is powering data-driven companies, today announced support for Presto and Spark SQL as well as updates to its support for Impala and Hive. Looker allows enterprises to describe, define and analyze the data where it lives, significantly eliminating the time, expertise, and the cost burdens of moving the data. Today's announcement expands Looker's list of supported data warehouses, such as Amazon Redshift, and ensures complete compatibility with the Amazon Elastic MapReduce (Amazon EMR) suite of frameworks.

Until today, it was painfully slow to do data analysis in Hadoop. Typically, data analysts had to move subsets of data into data warehouses to perform analysis and, as a result, business teams rarely had direct access. Today, thanks to advances in the SQL query engines, big data technologies are finally accessible for business analytics and the vision of Hadoop as more than a data store is now a reality. Data analysts can now build a data model across all their data in Hadoop or other databases, easily transform raw data into meaningful metrics and allow business teams to utilize years of stored data in Hadoop.

"With Looker on Hadoop, data analysts can create a single source of truth for the entire enterprise, so every business team can quickly ask and answer their own questions," said Frank Bien, CEO at Looker. "Now all decision-makers, not just a handful of data scientists, can utilize the valuable data in Hadoop to drive better business decisions."

"Looker makes the data in Hadoop easy for everyone to access and explore in a single platform. With Looker, we can see and respond to the impact of product changes immediately, greatly improving our customer experience," said Mike Van Kempen, Sr. Business Analyst at Acorns.

"To make meaningful business decisions, all individuals within an organization must have easy access to tools for performing business analytics with Hadoop," said Anurag Gupta, Vice President, Database Services, Amazon Web Services, Inc. "Looker's support of Presto and Spark SQL helps AWS customers access all their organizational data, whether in Amazon Relational Database Service (Amazon RDS), Amazon Redshift, or, with today's announcement, in an Amazon Simple Storage Service (Amazon S3) data lake accessed through one of the many SQL engines supported by Amazon EMR."

Learn more about how to get greater value out of Hadoop by registering for our webinar "Analytics 3.0: The New Era of Hadoop" on February 23 at 2:00 p.m. ET / 11:00 a.m. PT.

About Looker
Looker is on a mission to bring better insights and data-driven decision-making to every level of an enterprise. The company has fast become the catalyst that is creating data-driven cultures at more than 400 industry-leaders such as Yahoo!, Gilt, Warby Parker, and Sony. Looker is the only in-database analytics tool that allows a data analyst to curate and centralize massive amounts of data – creating a crucial single source of truth – and an easy way for every business team to quickly ask and answer their own questions. Looker integrates with Spark, Presto, Impala, Hive, Hive with Tez, BigQuery, Amazon Redshift, Microsoft Aurora, Teradata Aster, HP Vertica, and IBM DashDB among others. The company is headquartered in Santa Cruz, California, with offices in San Francisco, New York, and London. Investors include Kleiner Perkins Caufield & Byers, Meritech Capital Partners, Redpoint Ventures, First Round Capital, Sapphire Ventures, and PivotNorth. For more information, follow @lookerdata or visit http://www.looker.com.

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