SlamData 4.0 Released, Adds Analytic Support for Apache Spark, Couchbase, and Marklogic

Jeff Carr
Jeff Carr CEO & Co-Founder
Boulder, CO — SlamData Inc., the company building the industry’s first comprehensive Business Intelligence solution for complex modern data, today announced the release of SlamData 4.0, which marks the debut of new connectors for modern data sources.

The leading solution for visual analytics on complex modern data continues to add more data sources, delivering on its vision of a single analytics solution for enterprise’s modern polyglot data problem.

Boulder, CO — SlamData Inc., the company building the industry’s first comprehensive Business Intelligence solution for complex modern data, today announced the release of SlamData 4.0, which marks the debut of new connectors for modern data sources. SlamData 4.0 now supports MongoDBApache Spark on HadoopMarkLogic and Couchbase.

SlamData’s mission has always been to completely solve the biggest problem facing enterprise BI — data chaos said Jeff Carr, SlamData’s CEO and cofounder.

“We proved that we could do analytics natively on any type of data without ETL, starting with MongoDB. Soon, we will cover all the most popular enterprise data sources to complete our mission to deliver BI across enterprise’s modern, polyglot data, including RDBMS, NoSQL Hadoop, and Streaming.” What distinguishes SlamData from every other solution rests in its core innovation: Multi-dimensional Relational Algebra, a mathematical extension of relational algebra capable of performing advanced analytics on any data model as it exists. MRA is an industry breakthrough that provides the first fully general-purpose semantics for analytics on complex and heterogeneous data models found in Hadoop and NoSQL data stores. Combined with SlamData’s advanced analytics compiler, the technology is able to execute any type of analytics on any type of data, without data relocation or ETL. “Enterprises are tired of BI analytics engines that can only handle small extracts of well-formed data from legacy data warehouses,” said John De Goes, CTO and cofounder of SlamData. “It just takes too long to get answers, and requires too many people and too much work. Companies want answers today, not 12 months from now, across hundreds of data silos, no matter how complex the data and no matter where it’s located. Powered by MRA, SlamData’s advanced analytics compiler pushes analytical computation on any kind of data to anywhere. It’s the biggest breakthrough in Enterprise analytics since the invention of OLAP.”

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SlamData 4.0 is open source and is used by thousands across software development and data analysis projects in IoT, healthtech, SaaS, devops and more. The company’s proprietary licensed version, SlamData Advanced Edition, delivers out-of-the-box enterprise features that allow quick setup of complex, secure implementations including authentication, multi-tenant security, and auditing, as well as powerful developer APIs. SlamData customers span all industries including healthcare, government, financial services and SaaS companies. Users adopt SlamData to save considerable time and money over existing legacy solutions that require weeks to months to work with modern data models like JSON. With SlamData users reduce time to insight by 80% or more, and can be up and running in minutes, no development skills required.

The latest version 4.0 allows us to connect directly to collections in our MongoDB database without the need for special drivers or other connectivity software.

“Our lab’s project required a database to store patient clinical data and an application that would allow us to display the collected data graphically in a robust and efficient way. SlamData has proven to be the perfect solution. The latest version 4.0 allows us to connect directly to collections in our MongoDB database without the need for special drivers or other connectivity software. The robustness of the software in addition to the superb user support has provided a solution that has saved our lab considerable time and effort in achieving our project’s goals.” Ken Aurebach, Systems/Database Engineer at Massachusetts General Hospital. SlamData customers include Department of Homeland Security, HP Enterprise, and many others.

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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.

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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.

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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

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The Characteristics of NoSQL Analytics Systems

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This case study documents the return on investment, performance enhancements, and efficiency gains experienced by US Mobile resulting from its SlamData implementation. 
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The study was conducted by Constellation Research and published on June 25, 2017.
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