What's new in SQLizer 3.0
We’re excited to announce the launch of a new updated version of SQLizer, available to all customers immediately.
Better performance
We’ve rewritten some of our core conversion code, and made conversions of most file types about 10% faster than before. Get your structured data into a SQL insert statement just a little bit quicker.
New conversion pipeline
The biggest change is that we’ve switched to a massively-parallel processing model with lots of small ‘worker’ engines. We can spin up as many as we need, and process many, many more files in parallel.
For you this means quicker conversions, and less waiting around for other customers’ files to finish conversion.
Safer filesize limits
We’ve found that SQLizer does accept some impossibly-large files which overwhelm our servers and cause timeouts and crashes. We’ve implemented a limit of 100MB on JSON and Excel file types to prevent this. If this is a problem we’d suggest exporting to CSV instead, as these files don’t have this limit.
We hope you’ll enjoy the improvements to SQLizer and to celebrate you can use the voucher code:
CONVERTME10
Valid for 10% off your Pro Monthly plan for the first 12 months, or a one-off 10% discount on your Pro Annual plan.
Both Pro Monthly and Pro Annual plans come with SQLizer API access!
🖤 The SQLizer Team
More from The Official SQLizer blog...
- Learning SQL for Beginners in 2024 It’s a data-driven world, and SQL (Structured Query Language) is akin to a treasure map leading to valuable insights. Whether you’re a budding programmer or...
- SQLizer Pricing Update Dear SQLizer Community, We value your continued support and trust in SQLizer. Today, we’re announcing an important change that affects our pricing structure. Why the...
- How to convert XML to SQL: The Clever Way [Updated 2023] To convert XML to SQL some wizardry is needed. Unlike CSV files and database tables, XML files aren’t naturally organized into rows and columns: XML...
- How to convert JSON to SQL - the quick and easy way [Updated 2023] If you want to convert JSON to SQL there’s no concrete or straightforward way of doing things. Conversion is usually tricky because JSON and SQL...