pg_wait_sampling VS pgsentinel

Compare pg_wait_sampling vs pgsentinel and see what are their differences.

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pg_wait_sampling pgsentinel
3 2
132 157
0.8% 1.3%
5.6 4.7
6 months ago 15 days ago
C C
GNU General Public License v3.0 or later PostgreSQL License
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.

pg_wait_sampling

Posts with mentions or reviews of pg_wait_sampling. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-11.

pgsentinel

Posts with mentions or reviews of pgsentinel. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-04.

What are some alternatives?

When comparing pg_wait_sampling and pgsentinel you can also consider the following projects:

pg_profile - Postgres historic workload reports

plpgsql_check - plpgsql_check is a linter tool (does source code static analyze) for the PostgreSQL language plpgsql (the native language for PostgreSQL store procedures).

pg_show_plans - Show query plans of all currently running SQL statements

pg_net - A PostgreSQL extension that enables asynchronous (non-blocking) HTTP/HTTPS requests with SQL

pgbadger - A fast PostgreSQL Log Analyzer

powa - PostgreSQL Workload Analyzer

pg_similarity - set of functions and operators for executing similarity queries

hstr - bash and zsh shell history suggest box - easily view, navigate, search and manage your command history.

pgBackRest - Reliable PostgreSQL Backup & Restore

parallel-qo-postgres - (not) Parellel Query Optimizer for Postgres. In this fork of Postgres, we replace the original query optimizer with a parallelized query optimizer based on the work of Trummer et al.