SlamData Raises $3.6 Million to Build ‘Tableau’ for NoSQL Data

Jeff Carr
Jeff Carr CEO & Co-Founder
SlamData, a Boulder-based open source company building a visual analytics solution for modern NoSQL data, has raised a $3.6M seed round led by True Ventures, a prominent Silicon Valley based venture capital firm.

SlamData, a Boulder-based open source company building a visual analytics solution for modern NoSQL data, has raised a $3.6M seed round led by True Ventures, a prominent Silicon Valley based venture capital firm.

Boulder, CO July 30th, 2015 SlamData Inc., commercial developer of the SlamDataopen source project, today announced the company has raised a significant seed funding round led by True Ventures. The financing will be used to enhance the visual analytics and Enterprise capabilities of the project as well as expand the business team. The Boulder-based company launched an early version of the SlamData open source project in November 2014 supporting MongoDB. Since January, the project has seen more than 300% growth in users, reaching thousands of companies including many Fortune 500s. Companies are flocking to the project because it is the only solution to bring native analytics to NoSQL data sources.

SlamData provides a novel analytics solution designed natively for modern data. Modern databases like MongoDB support so-called NoSQL data models, which allow nesting, denormalization, and heterogeneity. SlamData’s technology, which is built on a formal generalization of 40-year old relational algebra called MRA (“Murray”), allows effortless exploration, manipulation, and analysis of NoSQL data, without the need to relocate or transform the data in any way.

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Legacy visual analytics solutions cannot connect to modern NoSQL databases or make sense of NoSQL data, requiring cumbersome, brittle, and complex Extract, Transform, and load (ETL) processes to transform the data to fit the traditional relational mold. Fueled by the rapid growth of web, mobile, and Internet of Things (IoT), companies are adopting NoSQL databases faster than ever before, and they are looking for next-generation analytics solutions that can natively understand NoSQL data.

SlamData’s high-level interface allows non-developers to perform visual data exploration and visual analytics on data stored in NoSQL databases. A cloud-ready solution, the interface runs in all major browsers, tablets, and smartphones, without the need to install any software, and the solution can be deployed on private or public clouds. A separate REST API, licensed under Apache 2, provides programmatic access to the NoSQL analytics engine, which can be leveraged from within applications for embedding analytics and reporting use cases.

According to SlamData CEO Jeff Carr, a veteran entrepreneur who has spent years working in the analytics space, “Tableau reimagined analytics for the relational data world, and Splunk did it for unstructured data. We’re following in the footsteps of these great companies by doing the same for the semi-structured world of NoSQL data.”

Puneet Agarwal, Partner at True Ventures, had this to say on the deal: “We believe that the ecosystem around NoSQL will eventually rival or surpass the ecosystem around RDBMS. SlamData is tackling the NoSQL analytics problem head-on with some truly groundbreaking technology. We are amazed by SlamData’s early user response, and we look forward to being a key partner for the next phase of the company’s growth.”

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The company’s patent-pending technology, invented by SlamDataCTO John A. De Goes, is based on a mathematical generalization of relational algebra, which allows slicing, dicing, and aggregation of deeply nested, heterogeneous data of the type often stored in NoSQL data stores. De Goes, a mathematician turned computer scientist and well-known expert in big data analytics, started the open source project more than a year ago after recognizing the need for a richer, more powerful query calculus for post-relational data.

“Relational algebra doesn’t understand modern NoSQL data,” says De Goes. “What we need is not more ways to turn NoSQL data into relational data, but richer ways of describing analytics on NoSQL data. MRA is the new standard of analytics for the post-relational era, and the engine behind our visual analytics for NoSQL.”

About True Ventures Founded in 2005, True Ventures is a Silicon Valley-based venture capital firm that invests in early-stage technology startups. With four funds and approximately $900 million in capital under management, True provides seed and Series A funding to the most talented entrepreneurs in today’s fastest growing markets. With a mission to make the world a better place for entrepreneurs, True encourages each founder’s vision and has built resources to empower the employees, families and communities of its portfolio companies. The firm maintains a strong founder community and offers innovative educational opportunities to its portfolio, helping entrepreneurs achieve higher levels of success and impact. With more than 150 companies funded and multiple companies acquired, the current True portfolio has helped create over 3,500 jobs. To learn more about True Ventures, visit www.trueventures.com.

About SlamData SlamData is the developer of the SlamData open source project, the industry-leading solution for visual analytics over NoSQL data. The cloud-deployable software allows users to visually explore, refine, and visualize 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 supports the popular MongoDBNoSQL database, with SparkElasticSearchCassandra and other data sources currently in development.

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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.

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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

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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

WHITEPAPER

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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SlamData Provides Missing Platform for NoSQL Data Insight

“The ROI has been in saving my time building, refreshing and tweaking reports and saving the time of engineers, who would otherwise have to build custom reports for our analytics portal."

- Michael Melmed, US Mobile
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