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SlamData Secures $6.7MM Series A to Support Modern Data in the Enterprise
[February 22, 2017]

SlamData Secures $6.7MM Series A to Support Modern Data in the Enterprise


BOULDER, Colo., Feb. 22, 2017 /PRNewswire/ -- SlamData Inc., the leading open source analytics company for modern unstructured data today announced that it has raised a $6.7M Series A funding round, led by Shasta Ventures. The investment will drive further development of the firm's breakthrough analytics solution: a single application for natively exploring, visualizing and embedding analytics against unstructured data sources including NoSQL, Hadoop, and cloud API's.

"The BI industry has failed to help enterprises deal with the data complexity that's spiraling out of control," said Jeff Carr, CEO and co-Founder of SlamData. "SlamData has grown quickly by helping enterprises gain immediate insight into their businesses. Our customers are eliminating up to 80% of the time and costs related to the traditional way of doing business intelligence such as ETL, mapping, and data warehouses, datamarts and other forms of data prep."

SlamData launched its open source solution in 2014, supporting MongoDB. Since then the company has added support for Couchbase, Marklogic, and Spark/Hadoop. SlamData uses a SQL dialect as a standard across all of its supported data sources, offering radical simplicity to companies that utilize numerous database technologies.

According to Carr, the new funding round will support the expansion of its executive team, starting with Sreeni Iyer who is joining the company as senior vice president of Engineering and will lead the development of the SlamData platform. Previously Iyer was formerly CTO/CIO and co-Founder of Quad Analytix. He also served as director of WorldWide Solutions at Terracotta nd the director of Platform Infrastructure Engineering at Shutterfly. Most recently, he was the Entrepreneur in Residence at Shasta Ventures.



"SlamData is an enterprise game-changer. They are the first company that lets you write once to any kind of data source – transforming how today's businesses can quickly explore, analyze and derive value from their ever-increasing data sources," said Nitin Chopra, Principal at Shasta Ventures. "We're thrilled to support Jeff and his team  as they execute on their vision to help businesses make sense of today's modern fragmented data."

SlamData's roadmap includes new user interface (UI) features and new data sources featuring real-time and streaming analytics, integration with machine learning providers, RDBMS integration (including RedShift, Oracle, and SQL Server), distributed joins, and richer, high-density interactive data visualizations.


For more information on SlamData, visit www.slamdata.com.

About SlamData
SlamData is the developer of the SlamData open source project, the industry-leading solution for visual analytics over modern data, including NoSQL, Hadoop and Cloud API's. The software allows users to visually explore, refine, visualize and publish/embed data stored in NoSQL databases, without data relocation, ETL or developer resources. SlamData's mission is to make it easy for non-technical users to see and understand NoSQL data. Currently, SlamData natively supports the most popular NoSQL databases including MongoDB, Couchbase, MarkLogic and Apache Spark/Hadoop.

About Shasta Ventures
Shasta Ventures is a leading early-stage venture capital firm partnering with bold creative entrepreneurs who are passionate about building great products and amazing experiences. Founded in 2004, Shasta Ventures has funded more than 100 companies specializing in consumer technology, enterprise software and emerging platforms including Apptio, Dollar Shave Club, Mint, Nest and many promising private companies such as Anaplan, Eero, Glint, Lucidworks, Lightbend, Nextdoor, Smule, Turo, Zuora and more. The firm is based in Menlo Park and San Francisco, California. Find out more at www.shastaventures.com, or follow us on Twitter at @Shasta.

Contact Information
Chris Dima
SlamData
Director of Marketing
[email protected]
@slamdata

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SOURCE SlamData


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