Best Database Clients for Salesforce Data Cloud

Compare the Top Database Clients that integrate with Salesforce Data Cloud as of June 2025

This a list of Database Clients that integrate with Salesforce Data Cloud. Use the filters on the left to add additional filters for products that have integrations with Salesforce Data Cloud. View the products that work with Salesforce Data Cloud in the table below.

What are Database Clients for Salesforce Data Cloud?

Database clients are tools or applications used to connect to a database server and interact with its data. They allow users to perform operations such as querying, updating, inserting, and deleting records through a structured language. These clients often offer intuitive interfaces or command-line options to simplify database management tasks. They are essential for managing data efficiently, catering to both small-scale and enterprise-level needs. By providing a bridge between users and the database, they streamline data access and administration. Compare and read user reviews of the best Database Clients for Salesforce Data Cloud currently available using the table below. This list is updated regularly.

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    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).
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