bg_mon
Background worker for monitoring PostgreSQL (by CyberDem0n)
zson
ZSON is a PostgreSQL extension for transparent JSONB compression (by postgrespro)
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
bg_mon
Posts with mentions or reviews of bg_mon.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-01.
zson
Posts with mentions or reviews of zson.
We have used some of these posts to build our list of alternatives
and similar projects.
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JSONB and storage
Have you considered ZSON? It requires you to compile a dictionary based on sample data - but given you're expecting most of your data to fit one of two variations this could be quite space efficient.
What are some alternatives?
When comparing bg_mon and zson you can also consider the following projects:
TDengine - TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.
pg_profile - Postgres historic workload reports
pg_show_plans - Show query plans of all currently running SQL statements
pgsentinel - postgresql extension providing Active session history
pg_wait_sampling - Sampling based statistics of wait events