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real-time analytics

Introducing Fast Data: Smart and at Scale - VoltDB’s new ‘recipes’ eBook

Friday, September 11, 2015

Just in time for Strata + Hadoop NYC, Ryan Betts, VoltDB founding developer and CTO, and John Hugg, VoltDB founding developer have written a great eBook for O’Reilly Media - Fast Data: Smart and at Scale: Design Patterns and Recipes.


The question this book tries to answer for developers, enterprise architects and others is: How do you develop apps that combine real-time, streaming analytics with real-time decisions, using an architecture that's reliable, scalable, and simple?

Need instant BI? Go for real real-time analytics

Tuesday, March 10, 2015

This guest post comes via Dave Sisk, Senior DBA at Salsalabs, and is posted here with his permission and our thanks.


During a recent discussion on a LinkedIn group to which I belong – Columnar Databases – a group member asked this question: “There has been a big talk and interest about real time BI - the ability to get instant analytics from day-to-day operations, so let me ask you - how each of you is working on this subject - are you working with only CDBMS engines, added some non-structured data to the solution or stayed in the "normal" path (data modeling and adding more computing

VoltDB Real-Time Analytics with JSON

Thursday, October 3, 2013

Consider the scenario where you are building an online multi-player game platform, where users can use the platform to create their own games. Such a platform would have the following high-level requirements:


  1. It needs to be able to process tens of thousands of write transactions, game state changes, per second. As each player makes a “move” or “action”, that needs to be recorded.
  2. It needs to be able to query player status and ranking. Each player’s ranking in relation to other players, for example, needs to be computed regularly, across all players and all games.
  3. It would need to support