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Druid

307
657
+ 1
29
PostGIS

308
304
+ 1
29
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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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Pros of Druid
Pros of PostGIS
  • 14
    Real Time Aggregations
  • 5
    Batch and Real-Time Ingestion
  • 4
    OLAP
  • 3
    OLAP + OLTP
  • 2
    Combining stream and historical analytics
  • 1
    OLTP
  • 24
    De facto GIS in SQL
  • 5
    Good Documentation

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Cons of Druid
Cons of PostGIS
  • 3
    Limited sql support
  • 2
    Joins are not supported well
  • 1
    Complexity
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    What is Druid?

    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?

    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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Druid?
    What companies use PostGIS?
    See which teams inside your own company are using Druid or PostGIS.
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    What tools integrate with Druid?
    What tools integrate with PostGIS?

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    Blog Posts

    What are some alternatives to Druid and PostGIS?
    HBase
    Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Cassandra
    Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
    Prometheus
    Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    See all alternatives