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

Chris Dima
Chris Dima Marketing
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.

Boulder, Colo., February 23, 2017 –  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 CouchbaseMarklogic, 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.

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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 and 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.

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.


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What Our Customers Are Saying


We use SlamData to build custom reports and have found the tool is exceptionally easy to use and very powerful. We recently needed to engage the support team and we were very pleased with the turn-around time and the quality of support that we received.

Troy Thompson
Director of Software Engineering
Intermap Technologies, Inc.


When our company migrated from SQL database to MongoDB, all our query tools became obsolete. SlamData saved the day! I was able to easily write SQL2 queries. Plus the sharing, charting, and interactive reports were a game changer.

Michael Melmed
VP, Ops and Strategy
US Mobile


Slamdata helped shine the light on how our new product was being used. The support staff was awesome and we saved engineering cycles in building all the analytics in-house. I am using it to change the mindset in the teams and shift the focus from product launches to product landings

Engineering Lead
Cisco Systems


The Characteristics of NoSQL Analytics Systems

  • The Nature of NoSQL Data
    • APIs
    • NoSQL Databases
    • Big Data
    • A Generic Data Model for NoSQL
  • Approaches to NoSQL Analytics
    • Coding & ETL
    • Hadoop
    • Real-Time Analytics
    • Relational Model Virtualization
    • First-Class NoSQL Analytics
  • Characteristics of NoSQL Analytics Systems
    • Generic Data Model
    • Isomorphic Data Model
    • Multi-Dimensionality
    • Unified Schema/Data
    • Post-Relational
    • Polymorphic Queries
    • Dynamic Type Discovery & Conversion
    • Structural Patterns

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