Druid vs PostGIS: What are the differences?
What is Druid? Fast column-oriented distributed data store. Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
What is PostGIS? Open source spatial database. PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.
Druid belongs to "Big Data Tools" category of the tech stack, while PostGIS can be primarily classified under "Database Tools".
"Real Time Aggregations" is the primary reason why developers consider Druid over the competitors, whereas "De facto GIS in SQL" was stated as the key factor in picking PostGIS.
Druid and PostGIS are both open source tools. It seems that Druid with 10.8K GitHub stars and 2.9K forks on GitHub has more adoption than PostGIS with 940 GitHub stars and 320 GitHub forks.
According to the StackShare community, Druid has a broader approval, being mentioned in 48 company stacks & 230 developers stacks; compared to PostGIS, which is listed in 82 company stacks and 185 developer stacks.
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What is Druid?
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