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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
I've been using this for one of my personal projects (https://dmd.tanna.dev) to simplify the cross-compilation process and so far it's been very good.
When I noticed the SHA3 extension was missing (https://gitlab.com/cznic/sqlite/-/issues/139) it was noted it could be very easily patched client-side which is handy, as well as adding functionality into the core library to handle it.
at segment we benchmarked https://github.com/segmentio/ctlstore against this driver. We saw about a 50% hit to read performance, so we didn't move forward with it, but the improvements in service build times were really appealing.
How does this compare to https://github.com/glebarez/go-sqlite ?
Using that for https://www.octobench.com/ and I'm very happy.
Each call out to a C library from Go locks an OS thread rather than participating in the go routine scheduling. If stuff happens that makes those threads slow or have some issue, they just sit here. I had a server with C Kafka libraries and each time the network glitched the CPU would spike up wards and not decline. With pure go the scheduler is able to just swap out and ignore code that is stuck some where (unless it were in a busy loop).
With this SQLite implementation I can stick it in my server (as a background, near real time mirror of memory state to disk) without worrying that the main loop will get clogged or my real time path will be hurt.
I use glabarez’ wrapper which makes it have an API like other Go databases: https://github.com/glebarez/sqlite/ and hey have been very responsive to issues I raised.
I have been running load tests against it for a few weeks, and it is quite solid.