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Top 5 Relational Databases in Time Series Data

The best Relational Databases within the Time Series Data category - based on our collection of reviews & verified products.

TimescaleDB Citus Data Hydra Postgres Analytics InfluxData OpenTSDB

Summary

The top products on this list are TimescaleDB, Citus Data, and Hydra Postgres Analytics. All products here are categorized as: Software for managing relational databases, which organize data into tables. Time Series Data. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.
    Pricing:
    • Open Source

    #Databases #Postgres #Time Series Database 5 social mentions

  2. Worry-free Postgres. Built to scale out, Citus distributes data & queries across nodes so your database can scale and your queries are fast. Available as a database as a service, as enterprise software, & as open source.
    Pricing:
    • Open Source

    #Databases #NoSQL Databases #Relational Databases

  3. Hydra is an open source, column-oriented Postgres. Query billions of rows instantly, no code changes.

    #Databases #NoSQL Databases #Relational Databases 1 social mentions

  4. Scalable datastore for metrics, events, and real-time analytics.
    Pricing:
    • Open Source

    #Big Data #Databases #NoSQL Databases 2 social mentions

  5. OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase.
    Pricing:
    • Open Source

    #Databases #NoSQL Databases #Time Series Database

Related categories

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