geomesa VS plpgsql_check

Compare geomesa vs plpgsql_check and see what are their differences.

geomesa

GeoMesa is a suite of tools for working with big geo-spatial data in a distributed fashion. (by locationtech)

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). (by okbob)
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geomesa plpgsql_check
3 3
1,391 605
0.9% -
9.1 8.2
5 days ago about 1 month ago
Scala C
Apache License 2.0 GNU General Public License v3.0 or later
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.

geomesa

Posts with mentions or reviews of geomesa. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-05.
  • GeoMesa
    1 project | news.ycombinator.com | 4 Apr 2024
  • Cool Dockerization Ideas
    1 project | /r/devops | 27 Mar 2022
    you could help dockerizing geomesa with/on Cassandra https://www.geomesa.org/ Currently its only dockerized with accumulo
  • PostGIS – Spatial and Geographic Objects for PostgreSQL
    7 projects | news.ycombinator.com | 5 Apr 2021
    If you really need to scale beyond what Postgres/PostGIS can handle, then you might want to check out GeoMesa[1], which is (very loosely) "PostGIS for HBase, Cassandra, or Google BigTable".

    That being said, you may not need it, because Postgres/PostGIS can scale vertically to handle larger datasets than most people realize. I recommend loading your intended data (or your best simulation of it) into a Postgres instance running on one of the extremely large VMs available on your cloud provider, and running a load test with a distribution of the queries you'd expect. Assuming the deliberately over-provisioned instance is able to handle the queries, you can then run some experiments to "right-size" the instance to find the right balance of compute, memory, SSD, etc. If it can handle the queries but not at the QPS you need, then read replicas may also be a good solution.

    [1] https://github.com/locationtech/geomesa

plpgsql_check

Posts with mentions or reviews of plpgsql_check. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-08.

What are some alternatives?

When comparing geomesa and plpgsql_check you can also consider the following projects:

docker-postgis - Docker image for PostGIS

pgsentinel - postgresql extension providing Active session history

geometry-api-java - The Esri Geometry API for Java enables developers to write custom applications for analysis of spatial data. This API is used in the Esri GIS Tools for Hadoop and other 3rd-party data processing solutions.

pg_show_plans - Show query plans of all currently running SQL statements

open-data - Free football data from StatsBomb

orafce - The "orafce" project implements in Postgres some of the functions from the Oracle database that are missing (or behaving differently).Those functions were verified on Oracle 10g, and the module is useful for production work.

stud - Cartography 2019

sample-data - Metrica Sports sample tracking and event data

tds_fdw - A PostgreSQL foreign data wrapper to connect to TDS databases (Sybase and Microsoft SQL Server)

pg_plan_guarantee - Postgres Query Optimizer Extension that guarantees your desired plan will not change

pgaudit - PostgreSQL Audit Extension