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Not sure if your Java comment is warranted, a lot of Apache projects are either written in Java or run on JVM. Yes, HBase's memstore can be optimized, in partic
by rodionos 11y ago
Not sure if your Java comment is warranted, a lot of Apache projects are either written in Java or run on JVM. Yes, HBase's memstore can be optimized, in particular for small key values, but that doesn't negate a need for time-series databases with proven scaling. HDFS offers that. How you were planning to design your tables in PostreSQL if you have 1m+ unique series inserting at 100K+/sec. Assuming you use timestamp as a PK does it translate into 1m+ tables?
- dschiptsov 11y agoWe have already seen how Cassandra clone in C++ perform. I think that adding a new indexing strategy to a decent engine could be a good idea. Informix did this.
- kev009 11y agoMapr has an HBase compatible stack in C++, I would love to see TSDB numbers on that. TSDB is pretty efficient itself and since metrics collection is such a batchy operation JVM isn't really that much of a problem. You can run some dedicated TSDs for front end/UIs to ameliorate JVM pain there too.
- rodionos 11y agoDo you mean Informix Time-Series Extension? It's been around for a while so maybe there are existing things that came out of IBM recently. Last time I checked its schema it was basically storing serie as a blob not unlike OPC historians like Pi.