October 30, 2012 Google’s LevelDB has proven very versatile within Riak — LevelDB is implemented in Riak as eleveldb, an Erlang wrapper around levelDB. But Google’s target environment was much different than the large data environment of Riak’s users. Riak 1.2 contains the first wave of performance tuning for large data. These changes improve overall throughput and eliminate most instances where l

September 18, 2012 In a previous post I wrote about the different mindset that a software engineer should have when building for a key-value database as opposed to a relational database. When working with a relational database, you describe the model first and then query the data later. With a key-value database, you focus first on what you want the result of the query to look like, and then work

November 29, 2011 It has been pointed out on occasion that Riak MapReduce isn’t real “MapReduce”, often with reference to Hadoop, which is. There are many times that Riak’s data processing pipeline is exactly what you want, but in case it isn’t, and you want to leverage existing Hadoop expertise and investment, you may now use Riak as an input/output, instead of HDFS. This started off as a tinkeri

Riak KV: flexible data model for many unstructured use cases including user, session and profile data Riak TS: for IoT & other time series data To address global audiences modern web and IoT applications must be built to be highly distributed. But this presents a few challenges. Distributed Systems Challenges: Data Availability Data Accuracy Cost of Scale At Riak, we are distributed systems expert