Avoiding managed services, using Docker and running eight Mongo and twelve Kafka nodes does not make an application cloud neutral — it makes it costly to develop, Kafkaesque to architect, and impossible to maintain in production. You end up losing your weekends and quality time with family to DR exercises and production support.
NoSQL databases scale by adding more commodity servers. With more commodity servers come increased costs and complexities. Some NoSQL systems are better at this than others and need less.
1. Do you know what your queries will look like ? In traditional SQL you design your data model to represent your business objects. Your queries can then evolve over time and can be ad-hoc. You can even create views, materialized or otherwise, to facilitate even more […]
I’ve written before that Cassandra’s achilles’ heel is devops: Storage, redundancy and performance are expanded by adding more nodes. This can happen during normal business hours as long as consistency parameters are met. Same applies to node replacements. As the number of servers grows be prepared to hire […]
After using Cassandra for 3 years since version 0.8.5, I thought I’d put together a blurb on lessons learned. Here it goes! Use Cases What works Anything that involves high speed collection of data for analysis in the background or via batch. For example: Logging and data collection […]
At first I wanted to name this article “My personal list of grievances against Apache Cassandra”, but I decided to take a more positive approach. Only Java developers need apply Surely you can use Cassandra with non-Java clients but the reality is that administering and maintaining Cassandra itself […]
