SlamData 3.0 and More

Jeff Carr
Jeff Carr CEO & Co-Founder
SlamData 3.0 has shipped! This is our most significant release in the 2+ years of this project. It’s the right time for a check-in to talk about where we are and where we are headed.

SlamData 3.0 has shipped! This is our most significant release in the 2+ years of this project. It’s the right time for a check-in to talk about where we are and where we are headed.

What’s New? First Up Is SlamData 3.0

This is how easy it is to display live data form MongoDB. No ETL and no mapping. Read below for what’s new!

  • A completely new user interface that’s easy-to-use, beautiful and extremely powerful. You can now create any dashboard — static or interactive — you can imagine .The main highlights for this version are as follows:
  • Even more powerful developer APIs that let you simply embed charts and analytics into your MongoDB application.
  • A new extensibility framework that makes it easy for developers to write new connectors for other databases (like Couchbase, MarkLogic, or PostgreSQL, for example).
  • New docs! New docs are fresh out of the oven over here: docs.slamdata.com. It’s a new UI, there are new tools — go over and get yourself acquainted.
  • New charts! Tis the summer of charts at SlamData HQ and around the world with our international development team. Did you know SlamData uses the very awesome open source library from Baidu? It’s eCharts.  We’ll let everyone know when they’re added.

Download SlamData 3.0 Now >

What’s Coming? Spark, Visual Queries…

  • We have begun work on a new Spark connector, which will let you use SlamData on any data stored in Hadoop or any other data source that works with Spark. We expect to release this by fall, which will make SlamData the most powerful open source, visual analytics solution in the entire big data ecosystem!
  • Improving our user-interface, including adding more data visualizations and reducing the need to use SQL2. By the end of the year, you will be able to refine, filter, and aggregate any kind of semi-structured data in a completely visual way. Users will no longer need to know SQL2 to get maximum value from SlamData.
  • Oh yeah, number three: adding connectors for new data sources based on user priority. By the end of the year, we will support at least 4 new data sources. SlamData will become your go-to tool for all NoSQL analytics, no matter where the data is stored. We’ll even add a catch-all RDBMS connector for cross datastore joins. More on that later (actually sooner).

SlamData Cloud: Load Messy JSON, Explore, Visualize, Share

We’ll take your mess. Seriously. Load JSON, CSV, XML into the new SlamData Cloud and you can explore, search, refine and use SQL to create powerful queries. Then sculpt that insight into a powerful chart. Then, of course, share it. No ETL or data mapping, EVER. Learn more about SlamData Cloud >

What’s Changing? Getting to the Future Faster

TOP VIEWED BLOGS OF 2017

The Five Money-Saving Tricks MongoDB Doesn’t Want You To Know

If you listen to your friendly MongoDB sales rep, it's easy to think they are a one-stop shop for all things MongoDB.

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The Easiest Way To Do Cross-Collection JOINs With MongoDB

Damon, each week we get together and discuss a feature of SlamData that we're seeing a lot of clients use, inquire about, or one that we feel like is worth exploring because it's that unique and can solve big problems in the market simply. This week it's JOINs.

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MongoDB and the Shocking Case of the Missing JOIN ($lookup)

At MongoWorld 2015, Eliot Horowitz, CTO of MongoDB, stepped onto the stage and announced to the world that joins would be coming to the famous document-oriented database.

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As we have grown, the support requests for SlamData Community Edition has increased significantly. Our users want to do more. That’s great. But our primary focus is to add new features. To ensure our objectives are met AND users’ needs are met, we are introducing a new pricing model starting with SlamData 3.0. The Community Edition will continue to remain 100% open source (and free), but users will need to download the source files from Github and build the project themselves. If you prefer the pre-built, visual installers for versions of the product that have been tested, users can pay a small monthly fee. The fee includes basic email support, too. This allows us to remain opensource, build new features at an aggressive pace and offer faster support. Our community support forum on Google Groups is always available for anyone to post questions and answers and get help from the community. SlamData Advanced for MongoDB is also available for those needing security features, such as authentication, authorization, auditing, and multi-tenant embedded reporting. Download SlamData 3.0 Now >

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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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