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Datahike

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PostgreSQL

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Pros of Datahike
Pros of PostgreSQL
    Be the first to leave a pro
    • 764
      Relational database
    • 510
      High availability
    • 439
      Enterprise class database
    • 383
      Sql
    • 304
      Sql + nosql
    • 173
      Great community
    • 147
      Easy to setup
    • 131
      Heroku
    • 130
      Secure by default
    • 113
      Postgis
    • 50
      Supports Key-Value
    • 48
      Great JSON support
    • 34
      Cross platform
    • 33
      Extensible
    • 28
      Replication
    • 26
      Triggers
    • 23
      Multiversion concurrency control
    • 23
      Rollback
    • 21
      Open source
    • 18
      Heroku Add-on
    • 17
      Stable, Simple and Good Performance
    • 15
      Powerful
    • 13
      Lets be serious, what other SQL DB would you go for?
    • 11
      Good documentation
    • 9
      Scalable
    • 8
      Free
    • 8
      Reliable
    • 8
      Intelligent optimizer
    • 7
      Transactional DDL
    • 7
      Modern
    • 6
      One stop solution for all things sql no matter the os
    • 5
      Relational database with MVCC
    • 5
      Faster Development
    • 4
      Full-Text Search
    • 4
      Developer friendly
    • 3
      Excellent source code
    • 3
      Free version
    • 3
      Great DB for Transactional system or Application
    • 3
      Relational datanbase
    • 3
      search
    • 3
      Open-source
    • 2
      Text
    • 2
      Full-text
    • 1
      Can handle up to petabytes worth of size
    • 1
      Composability
    • 1
      Multiple procedural languages supported
    • 0
      Native

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    Cons of Datahike
    Cons of PostgreSQL
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      • 10
        Table/index bloatings

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      What is Datahike?

      It is a durable Datalog database powered by an efficient Datalog query engine. It is considered usable for medium-sized projects.

      What is PostgreSQL?

      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

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      What companies use Datahike?
      What companies use PostgreSQL?
        No companies found
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        What tools integrate with Datahike?
        What tools integrate with PostgreSQL?

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        What are some alternatives to Datahike and PostgreSQL?
        MySQL
        The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
        PostgreSQL
        PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
        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.
        Redis
        Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
        Amazon S3
        Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
        See all alternatives