Compare the Top Database Software that integrates with CrateDB as of August 2024

This a list of Database software that integrates with CrateDB. Use the filters on the left to add additional filters for products that have integrations with CrateDB. View the products that work with CrateDB in the table below.

What is Database Software for CrateDB?

Database software and database management systems are a type of software designed to store, manage and retrieve data. It is used to organize all kinds of information in an efficient manner, allowing users to quickly access the data they need. Many databases are tailored for specific purposes and applications, ranging from transaction processing systems to large-scale analytics platforms. Database software may be used on its own or connected with other software services for complex operations. Compare and read user reviews of the best Database software for CrateDB currently available using the table below. This list is updated regularly.

  • 1
    DBeaver

    DBeaver

    DBeaver

    Free multi-platform database tool for developers, database administrators, analysts and all people who need to work with databases. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, MS Access, Teradata, Firebird, Apache Hive, Phoenix, Presto, etc. Copy As: format configuration editor was added. Extra configuration for filter dialog (performance). Sort by column as fixed (for small fetch sizes). Case-insensitive filters support was added. Plaintext view now support top/bottom dividers. Data editor was fixed (when column name conflicts with alias name). Duplicate row(s) command was fixed for multiple selected rows. Edit sub-menu was returned to the context menu. Columns auto-size configuration was added. Dictionary viewer was fixed (for read-only connections). Current/selected row highlighting support was added (configurable).
  • 2
    Prometheus

    Prometheus

    Prometheus

    Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API. Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.). Download: https://sourceforge.net/projects/prometheus.mirror/
    Starting Price: Free
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