SlamData 5.0 is the latest release from SlamData. Watch as Becky Conning, Jeff Carr and Chris Dima describe and show what it can do. And what’s new!read more
The latest release of SlamData delivers unprecedented analytics for NoSQL data sources like MongoDB as well as for projects and solutions that deal with disparate, complex data. Tame your data now! SlamData is a single analytics solution for all of your data.read more
SlamData just released its first update of 2017, SlamData 4.1.1. It delivers a number of new UI enhancements, performance improvements, new charts, as well as commercial releases for the Couchbase, MarkLogic and Spark/Hadoop connectors.read more
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.read more
This version of SlamData features a completely new UI and a bunch of bug fixes, performance improvements, and new SQL functions.
In this post, I’m going to highlight the 5 top reasons you should upgrade to SlamData 3.0 today.
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.
The following is the video replay and transcript of the webinar that was conducted on February 24, 2016.read more
As many of you probably know, we released SlamData 2.5 earlier this week. So if you haven’t had a chance, you should hop on over to our Download page and give it a spin!read more
SlamData’s international team of engineers has been heads-down crushing tasks, features and releases since the beginning of 2015. SlamData 1.0 was released in November 2014 and we just released SlamData Advanced — which is the equivalent of saying 2.5.read more
SlamData 2.4 is here! Our most powerful version yet. This new cell type lets a developer programmatically feed variables into your chart or published notebook, so you can have a whole workflow that depends on runtime values (such as customer ID). Multi-tenant, secure, embedded reporting was never this easy!read more
Version 2.3.3 opens up new possiblities with new features and enhanced performance.
This post digs a little deeper so you can understand how best to make use of them!
Okay, get ready everyone – our engineering team has been hard at work making some major improvements – most of which users have been asking and eagerly waiting for!
SlamData 2.3.3 is all about performance! One of our most important releases yet, we have improved the performance across the board…read more
SlamData, Inc., commercial developer of the SlamData open source project, today announced Q1 2016 availability of an advanced edition of the NoSQL analytics application. The announcement was made at MongoDB Days SV, MongoDB’s west coast conference being held at the San Jose Convention Center on December 2. SlamData is a presenting sponsor for the event.read more
Today we released SlamData 2.3, Our Most Awesome Release Yet!read more
SlamData, Inc., commercial developer of the SlamData open source project, today announced the availability of version 2.0 of their MongoDB analytics solution.read more
Feedback and adoption for SlamData 1.X has been great, but based on our recent blog post, many of you have expressed even more excitement over the upcoming 2.0 release.read more
Over the holidays, we’ve been hard at work packaging a bunch of bug fixes together with a shiny new user interface.read more
SlamData is an open source tool that makes analytics on MongoDB easy and accessible to developers and non-developers alike. We just launched v1.1, which greatly increases the power of the tool and fixes a number of issues identified in the 1.0 release.read more
For those of you new to this blog, in brief, SlamData is the first unified, high-level way of querying and building reports based on data inside NoSQL data stores (for now, MongoDB!).read more
MongoDB has been hugely successful in the developer community, partially because it allows developers to store data structures directly in a fast, scalable, modern database.read more
I’ve heard the story a thousand times before. Engineering decides to build a new app with MongoDB. With the flexibility and scalability of MongoDB, the team can build, iterate, deploy, and scale faster than with traditional RDBMS technology.read more
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