SlamData, commercial developer of the SlamData open source project, has released the first alpha version of its MongoDB analytics solution. The open source project is licensed under the AGPL 3, the same license as MongoDB, and the production release is expected in Q3 2014.
According to SlamData, the alpha release which supports high-level graphical front-end, allows for unrestricted ad hoc queries on data stored in MongoDB, making it simple to build and share reports that pull data from MongoDB. SlamSQL, the SQL dialect supported by SlamData, allows anyone to write standard SQL queries against data stored in MongoDB, even if that data is heavily nested or has non-uniform structure. The company's patent-pending technology, invented by SlamData CTO John A. De Goes, is based on a formal generalization of 40-year-old relational algebra called MRA ("Murray"). MRA natively supports analytics on multi-structured data (anything from flat, homogeneous data, to multidimensional, heterogeneous data).
"Developers are adopting MongoDB because of the flexibility it provides building and deploying applications. Current analytics solutions don't allow users to take advantage of the rich nature of JSON data, forcing them to make the data fit a traditional tabular model and reducing flexibility and time-to-value. Our driving motto is to make the analytics fit the data, instead of making the data fit the analytics. We're very excited about what this alpha release means for the future of the NoSQL market, and in particular, for native analytics on MongoDB."
- Jeff Carr, CEO, SlamData
"SlamData's approach will allow us to get value from our MongoDB much more efficiently than other solutions. Other solutions required extensive coding or development of complex ETL processes that depend upon significant engineering resources. Those that are further along typically only work with specific SQL databases. With SlamData we can access our MongoDB data directly using standard SQL queries and reporting tools. This saves us time and engineering resources, and reduces costs where we can replace multiple tools and duplicate data sets with one."
- Dustin Mallory, CTO, MobileDay
