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Easily convert files into SQL databases

The internet's leading data migration tool

SQLizer lets you easily and securely convert Excel, JSON, CSV and other files into SQL databases with table definitions and multiple INSERT statements. We're free for non-commercial use on files with under 5000 rows of data and our paid plans enable you to use our powerful API to build data pipelines that handle billions of rows a day.

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Intelligent Data Mapping

Our conversion engine analyses your files and intelligently handles text, numeric, decimal and date data types to ensure your database tables are set up to be efficient and lighting fast.

For more information on how our conversion engine works, checkout our help section .

Enterprise Grade Security

SQLizer is HTTPS-only, with all converted files kept in secure storage, encrypted at rest and automatically deleted within 48 hours (7 days for signed-in users).

During this period users can choose to manually delete files as soon as a conversion completes if they prefer. For more information see our Privacy Policy.

Powerful API

Our REST API enables you to push data into relational databases as part of your big data analytics or BI pipeline.

With our paid plans, there's no limit on the number of files you can convert, the size of those files, or the number of concurrent conversions you can run.

Latest from the Official SQLizer Blog...

Introducing ChatGPT: Your Guide to the SQLizer API

We’re excited to announce that ChatGPT, a powerful language model trained by OpenAI, is now knowledgeable about the SQLizer API! This means that you can get basic instructions on how to get started with SQLizer right from inside ChatGPT. SQLizer is a pow...

Happy Birthday XML! 25 Years Old Today

XML, or Extensible Markup Language, is a markup language that is used to store and transport data. It is a flexible, human-readable language that has become widely adopted for the exchange of information between different platforms and applications. In thi...

How (and why) convert JSON into SQL?

One reason you might want to convert JSON to a SQL insert statement is if you want to store the data contained in the JSON string into a SQL database. This can be useful if you want to query the data or use it for some other purpose that is easier to do wi...

What’s new in SQLizer for December 2022

SQLizer 3.0.10 has been released and here’s what’s new: User interface update We’ve tweaked the upload interface slightly, hiding less well-used items away in an expandable sub-section. They’re still there, but not everyone uses them - so this will make ...

SQLite conversion support lands in SQLizer

Convert any structured data file to SQLite, for free What’s the most widely-used database engine on the planet? MySQL? Guess again. Because SQLite is the built-in database of iOS and Android, it runs on every smartphone in the world - as well as a wide...

Automatic Worksheet Detection

What’s new in SQLizer 3.0.9? We’re excited to announce that SQLizer 3.0.9 is available to all customers right now. Automatic worksheet detection Until now, we’ve asked you to type in the name of the Worksheet you want to convert to SQL from your Excel...

SQL will never die

A really interesting summary from IEEE emerged last week. Entitled “The Rise of SQL”, it’s a fascinating glimpse into how a query language invented in the 1970s is more relevant today than ever, and it’s the “second progamming language” every developer sh...