Compare the Top Database Clients that integrate with Amazon RDS as of November 2025

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

What are Database Clients for Amazon RDS?

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 Amazon RDS currently available using the table below. This list is updated regularly.

  • 1
    Aqua Data Studio

    Aqua Data Studio

    AquaFold, an Idera, Inc. company

    Aqua Data Studio is a multiple-platform, integrated development environment (IDE) for data. It provides benefits to a variety of data-centric roles, allowing them to manage a wide range of data sources. Aqua Data Studio provides scalable, cross-platform data management, supporting IT and data-centric specialists, including developers, database administrators, as well as data analysts, data modelers, and data architects. Simplifies tedious tasks involving SQL queries, data, result sets, schema, data models, files, instances, servers, as well as automation. Aqua Data Studio can be installed on the three popular operating systems: Microsoft Windows, Apple macOS, and Linux. The graphical user interface can display the nine of the most widely spoken languages: English, Spanish, French, German, Korean, Portuguese, Japanese, and Chinese. Aqua Data Studio supports over 40 of the most popular data source platforms, including relational, NoSQL, as well as managed cloud data source
    Starting Price: $499 per user per year
  • 2
    JackDB

    JackDB

    JackDB

    Write and execute queries in a fully interactive SQL editor. JackDB has everything you'd want in a database client, including: syntax highlighting, code formatting, and intelligent autocompletion. Snippets allow your most useful SQL queries to be saved and shared. Simply write and save any query in JackDB, and share the snippet publicly with your team. Whenever anyone updates a snippet, everyone gets access to its latest version. Security is our highest priority at JackDB. Roles are a very convenient and secure way to restrict database access to authorized users and provision new users with access to data sources. Explore everything in your database, not just tables and views. View your indexes, schemas, and other important system details such as tablespaces and user sessions.
    Starting Price: $49 per user per month
  • 3
    Arctype

    Arctype

    Arctype

    Write queries fast, generate, format, and autocomplete SQL. Visualize anything, and build beautiful charts in 2 clicks. Combine multiple charts in a dashboard. Share and control access. Bring your team in on the action with links to charts and queries. With your queries and dashboards at your fingertips, use cmd + k to find anything in your workspace. Edit tables like a spreadsheet, and select any cell to edit. Delete rows and view JSON. If you are working with a PostgreSQL database as part of your project, you’ll probably need to add or edit data. We recommend using an SQL client to do so. In this guide, we’ll walk you through how to connect to your Postgres database using an SQL client. Create the smallest EC2 instance available. Take note of the Virtual Private Cloud (VPC) network it is created in. Arctype is a fast, beautiful database GUI for developers and teams. With SQL autocomplete, spreadsheet-style editing, one-click visualizations, and collaboration.
    Starting Price: Free
  • 4
    Navicat for PostgreSQL
    Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development. From writing simple SQL queries to developing complex databases, Navicat for PostgreSQL is designed to accommodate a wide range of users, from PostgreSQL beginners to seasoned developers. Connect to local/remote PostgreSQL servers and compatible with cloud databases like Amazon Redshift, Amazon Aurora, Amazon RDS, Google Cloud and Microsoft Azure, and all PostgreSQL database objects. Navicat provides users with our Navicat Cloud service. Sync your connection settings and queries to the cloud so you can get real-time queries and connections anytime and anywhere. With Navicat Cloud, you can leverage every minute of your day to maximize your productivity. Navicat allows you to establish secure SSH sessions through SSH Tunneling, ensuring strong authentication and secure encryption between two hosts. The authentication method can use a password or a public/private key pair.
    Starting Price: $17.99 per month
  • 5
    SQLyog

    SQLyog

    Webyog

    A Powerful MySQL Development and Administration Solution. SQLyog Ultimate enables database developers, administrators, and architects to visually compare, optimize, and document schemas. SQLyog Ultimate includes a power tool to automate and schedule the synchronization of data between two MySQL hosts. Create the job definition file using the interactive wizard. The tool does not require any installation on the MySQL hosts. You can use any host to run the tool. SQLyog Ultimate includes a power tool to interactively synchronize data. Run the tool in attended mode to compare data from source and target before taking action. Using the intuitive display, compare data on source and target for every row to decide whether it should be synchronized in which direction. SQLyog Ultimate includes a power tool to interactively compare and synchronize schema. View the differences between tables, indexes, columns, and routines of two databases.
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