Saturday, May 3, 2014

4 Reasons Why Data Engineers Don't Use Cassandra

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Three years ago, I was stuck trying to get a use case fit into my Oracle database. It was getting expensive fast and I was running out of budget. A friend suggested I try Apache Cassandra for the task and the time series use case was perfect. It's not a perfect database and it was really hard to get my head around the data model and the driver support was scattered. There were a few points where I was ready to just give up and pay Oracle but I stuck with it. Cassandra was the solution that fit my problem, and after a long uphill climb, it worked better than I'd expected.

A few weeks ago, Apache Cassandra passed a significant milestone - It's five years old! For software, five years is a real milestone for maturity. When I’m out talking to people, I hear some say “I used Cassandra awhile ago, and it just wasn’t for me”. That was almost my experience. I tell those same people to give it another look. Cassandra had some growing pains, but this project has not stood still. Let’s take a look at some of those things that may have turned you away as a developer.

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