SlamData brings the same ease of use to analytics, engineered for the modern data stored in MongoDB,” says Kelly Stirman, vice president of strategy, MongoDB. “We are excited to see how our users will leverage this release.”
Boulder, CO and New York, NY —
MongoDB World Conference (PRWEB) June 01, 2015 -- SlamData, Inc., commercial developer of the SlamData open source project, today announced the availability of version 2.0 of their MongoDB analytics solution. The solution has been certified against MongoDB Enterprise, the commercial edition of MongoDB. The announcement was made during MongoDB World, MongoDB’s global conference taking place in New York City at the Sheraton New York Times Square. SlamData is exhibiting at booth #19.
SlamData provides a SQL-based interface to the popular MongoDB database. It is built on a formal generalization of 40-year old relational algebra called MRA (“Murray”). SlamData’s technology allows effortless manipulation and querying of the type of data stored in NoSQL databases. This data is often heavily nested, denormalized, and heterogeneous, and cannot be stored in RDBMS, let alone queried with traditional SQL.
Previously, to perform analytics and reporting on MongoDB, developers often had to write complex code to low-level APIs, or develop expensive and brittle Extract-Transform-Load (ETL) processes to normalize, homogenize, and relocate data into relational databases such as Postgres.
Timed to coincide with MongoDB World 2015, the 2.0 release of SlamData provides a completely new, high-level interface that allows anyone to perform visual data exploration, ad hoc queries, and reporting on data stored in MongoDB. A separate developer API provides programmatic access to SlamData’s SQL-based interface, which can be leveraged from within applications built on MongoDB for embeddable 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 world, and Splunk did it for the unstructured world. SlamData is doing the same for the semi-structured world of NoSQL data. With SlamData 2.0, companies using MongoDB now have a code-free, ETL-free solution that enables standards-based, embeddable analytics and reporting.”
"Ease of use has been a key contributing factor to the growth of our database. SlamData brings the same ease of use to analytics, engineered for the modern data stored in MongoDB,” says Kelly Stirman, vice president of strategy, MongoDB. “We are excited to see how our users will leverage this release.”
Since its release in October of last year, the number of users of the open source project has swelled into the thousands, including many Fortune 500 companies. Companies are flocking to the project because it brings a SQL-based interface to the MongoDB database and pushes 100 percent of query computation into the database.
The company’s patent-pending technology, invented by SlamData CTO 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 MongoDB. 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.