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Jermayl Lund
Jermayl Lund

RedisInsight: Explore and Manage Redis Data with Ease


RedisInsight: The Best GUI Tool for Redis




Redis is a powerful in-memory database that supports various data structures, modules, and features. However, working with Redis can be challenging without a graphical user interface (GUI) that allows you to easily inspect, manipulate, and optimize your data. That's where RedisInsight comes in.


RedisInsight is a free and open source GUI tool for Redis that lets you do both GUI- and CLI-based interactions in a fully-featured desktop client. It supports all variants of Redis, including open source, enterprise, cloud, and ElastiCache. It also supports all the latest capabilities offered by Redis modules, such as JSON, search, graph, time series, AI, and more.




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In this article, we will show you how to install and use RedisInsight to visualize and optimize your Redis data. We will also compare it with some other GUI tools for Redis and answer some frequently asked questions.


How to Install RedisInsight




Installing RedisInsight is very easy and straightforward. You can download the latest version of RedisInsight from . The desktop client is supported on Windows, MacOS, and Ubuntu operating systems.


After downloading the installer, you can follow these steps to install RedisInsight on your system:


Operating SystemInstallation Steps


Ubuntu


  • Open a terminal and navigate to the folder containing the downloaded file.



  • Make your downloaded file into an executable: chmod +x redisinsight-linux64-<version>



  • Start RedisInsight: ./redisinsight-linux64-<version>



  • To access your RedisInsight UI, open a web browser and navigate to .



MacOS


  • Run the installer.



Note: MacOS 10.14.x users occasionally encounter errors during installation. If you encounter a problem installing RedisInsight, please contact us at redisinsight@redis.com and perform the following troubleshooting steps:


  • Move the package to the Desktop and left-click the file while hold the Control key.



  • Click Open to proceed past the warning message.



  • After the web server starts, open and add a Redis database connection.



Windows


  • Note: RedisInsight should install and run on a fresh Windows system. There is no need to install any .NET framework.



  • Run the installer.



  • After the web server starts, open and add a Redis database connection.



How to Connect to Redis Databases Using RedisInsight




Once you have installed RedisInsight, you can connect to any Redis database that you have access to. You can connect to local or remote databases, as well as cloud or enterprise databases. You can also connect to multiple databases at the same time and switch between them easily.


To add a new Redis database connection, you can follow these steps:


  • Click the Add Redis Database button on the top right corner of the RedisInsight dashboard.



Select the type of connection you want to use. You can choose from:


  • Standalone: This is the most common type of connection, where you have a single Redis instance running on a host and port.



  • Cluster: This is for connecting to a Redis Cluster, which is a distributed system of multiple Redis nodes that can scale and provide high availability.



  • Sentinel: This is for connecting to a Redis Sentinel, which is a system that monitors and manages a group of Redis instances that provide high availability and failover.



  • Redis Enterprise Cloud: This is for connecting to a Redis Enterprise Cloud database, which is a fully managed service that offers high performance, scalability, and security.



  • Redis Enterprise Software: This is for connecting to a Redis Enterprise Software database, which is a self-hosted solution that offers the same features as Redis Enterprise Cloud.



  • Enter the required information for your connection type, such as host, port, password, name, etc. You can also test your connection before adding it by clicking the Test Connection button.



  • Click the Add Redis Database button to save your connection. You can now see your database on the dashboard and start using it with RedisInsight.



How to Browse, Filter, and Visualize Redis Data Using RedisInsight




One of the main features of RedisInsight is the ability to browse, filter, and visualize your Redis data in a user-friendly way. You can see all the keys in your database, along with their types, sizes, values, and expiration times. You can also search for keys using patterns or filters, and sort them by various criteria. You can also view the values of different data types in different formats, such as table, tree, JSON, graph, etc.


To browse your Redis data using RedisInsight, you can follow these steps:


  • Select the database you want to browse from the dashboard. You will see a list of all the keys in your database on the left panel.



  • To search for keys, you can use the Search box on the top of the panel. You can enter a pattern or a filter expression to find matching keys. For example, you can enter user:* to find all keys that start with user:, or @set to find all keys that are sets.



  • To sort the keys, you can use the Sort By dropdown menu on the top right of the panel. You can sort by key name, type, size, TTL (time to live), or value.



  • To view the value of a key, you can click on it from the list. You will see the value on the right panel, along with its type and size. You can also edit or delete the key from here.



To view the value in different formats, you can use the tabs on the bottom of the panel. You can choose from:


  • Table: This shows the value in a tabular format, with columns and rows. This is useful for data types like hashes, sets, sorted sets, streams, etc.



  • Tree: This shows the value in a hierarchical format, with nodes and branches. This is useful for data types like lists or JSON objects.



  • JSON: This shows the value in a JSON format, with keys and values. This is useful for data types like JSON objects or strings that contain JSON data.



  • Graph: This shows the value in a graphical format, with nodes and edges. This is useful for data types like graphs or geospatial data.



  • Blob: This shows the value in a binary format, with hex codes and ASCII characters. This is useful for data types like strings that contain binary data.



How to Perform CRUD Operations on Different Data Types Using RedisInsight




Another feature of RedisInsight is the ability to perform CRUD (create, read, [user](# update, delete) operations on different data types using RedisInsight. You can create new keys or edit existing ones, as well as delete keys or values from your database. You can also use the built-in commands or the Workbench tool to execute any Redis command on your data.


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