September 21, 2026 — Withdata Software announces RedisDataStudio 2.1, a cross-platform desktop tool for editing, importing and exporting Redis data. This release adds exporting Redis data to relational databases — including creating new tables and running exports from the command line — and improves importing from databases, Hash/JSON handling and the Redis key list.
What’s New in RedisDataStudio 2.1
1. Export Redis Data to Relational Databases
RedisDataStudio has always been able to edit Redis data and move it to and from files. Version 2.1 adds the missing direction: exporting Redis data into a relational database. Pick the Redis keys you want and send them to a table in MySQL, MariaDB, PostgreSQL, SQL Server, Oracle, SQLite, Access, DB2 and more — no scripting required.
You can export a single key, a set of keys, or a whole namespace, across all five Redis types (String, Hash, List, Set and Sorted Set), with automatic field mapping between the Redis data and the database columns.
2. Export to a New Table
You don’t need to create the target table first. Choose “new table” and RedisDataStudio creates it for you, inferring the columns and their data types from the source keys, then loads the data. This makes “dump this Redis data into a database” a one-step task.
3. Command-Line and Scheduled Export to Database
Database export works from the command line too. A saved session can be run headless with RedisDataStudioCmd, so you can export Redis data to a database on a schedule — the same way file exports already worked.
4. Improved Import from Relational Databases
Importing from a database has been fixed and improved: the source selection (a single table, a query, similar tables read as one, or multiple tables) now works as expected in every case.
5. Improved Hash and JSON Columns
When a Hash key stores JSON objects, RedisDataStudio can expand them into columns. The column set is now built from a sample of records and the union of their JSON keys, instead of just the first record — so records with slightly different shapes are no longer truncated. The sample size is configurable, and “Value (JSON) As Columns” is now detected and enabled automatically when a value looks like JSON.
6. Improved Redis Key List
The key list now shows the correct keys for the selected type, tells you how many keys are loaded and whether more are available, and remembers the “Show Keys In Namespace” choice. Finding and selecting the keys you want is quicker, especially on a server with many keys.
About RedisDataStudio
RedisDataStudio edits Redis data and moves it between Redis, files and relational databases — fast, locally, and without coding.
- Edit String, Hash, List, Set and Sorted Set keys
- Import Redis data from files and relational databases
- Export Redis data to files and relational databases
- Formats: CSV, TSV, TXT, Excel, JSON, XML, SQL, HTML and more
- Get/set TTL, rename and delete keys; work with namespaces
- Command-line interface and scheduled tasks for automation
- Save and load sessions
- Cross-platform: Windows, Linux, macOS
- Fully local processing; no data uploaded to cloud servers
Upgrade Today
RedisDataStudio 2.1 is ready for download: https://www.withdata.com/redis-data-studio/download.html. Existing users may update directly. New users can download a free trial to try exporting Redis data to a relational database.
Withdata Software continues improving RedisDataStudio based on real-world feedback from users working with Redis data.
Convert your data online, free
Free in-browser converters for CSV, Excel, JSON, XML and SQL: Withdata Online Data Conversion. Large files, batch conversion or scheduling? See the offline desktop apps, or browse all data conversion tools.