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NoSQL databases are designed to support cloud application requirements and overcome the scale, performance, data model and data distribution limitations of traditional relational databases (RDBMS’s). What is NoSQL? Non-Relational Databases ExplainedNoSQL explainedTo better understand NoSQL databases, let's first take a look at their alternative: relational databases. The Structured Query Language

BLOG | TechnologyApache Cassandra Benchmarking: 4.0 Brings the Heat with New Garbage Collectors ZGC and Shenandoah Apache Cassandra 4.0 beta is the first version that supports JDK 11 and onwards. Latency is an obvious concern for Apache Cassandra™ users and big hopes have been put into ZGC, the new low latency garbage collector introduced in JDK 11. It reached GA in JDK 14, which made us eager to

Here at Datastax, my fellow intern Daniel Chin and I built a 32 node DataStax Enterprise cluster running on Raspberry Pi’s! We are showcasing the always on, fault tolerant nature of Cassandra by letting anybody take down an entire data center with the press of a Big Red Button in our lobby. Being able to withstand a data center going down is not just an edge case, it is an absolute necessity for t

I recently wrote about how not to benchmark Cassandra and some of the principles involved in benchmarking Cassandra and other databases correctly.  Let’s take a look at how to apply these to a benchmark done by Thumbtack Technology for Aerospike. First, the basics: this test was done on bare metal machines, with SSD disks.  The benchmark report doesn’t make it entirely clear how load generation wa

The Cassandra File System (CFS) is an HDFS compatible filesystem built to replace the traditional Hadoop NameNode, Secondary NameNode and DataNode daemons. It is the foundation of our Hadoop support in DataStax Enterprise. The main design goals for the Cassandra File System were to first, simplify the operational overhead of Hadoop by removing the single points of failure in the Hadoop NameNode. S

Both Cassandra and DynamoDB achieve high scalablity, using many of the same techniques. Cassandra has been shown to scale to millions of ops/s, and Amazon announced on this morning's webcast that they have a customer doing over 250 thousand op/s on DynamoDB. This kind of scale needs to be baked in from the start, not tacked on as an afterthought. The multi-datacenter availability story is a bit mo

As we've worked towards 1.0 over the past year, Cassandra's performance has improved spectacularly. Compared to the current release this time in 2010, we've increased our write performance a respectable 40%. But the real area we wanted to focus on improving was read performance, which we succeeded in increasing a phenomenal 400%! Reads There are actually two different execution paths for reads in

Spotlight InfoWorld Technology of the Year DataStax Enterprise has been named a 2019 InfoWorld Technology of the Year Read Now Overview In Cassandra 0.6, we created a ColumnFamilyInputFormat, allowing you to read data stored in Cassandra from a Hadoop mapreduce job. However, you had to write the output from these jobs to a local file or HDFS, or manually connect to Cassandra in your reducer to sto

Flume is an open source project described as a “distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data”. Because that large amount of log data eventually needs to be stored in a distributed, reliable, and available way, there was interest in allowing Cassandra to be used as a destination for data, or “sink,” in Flume terminology.

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