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Convert CSV, TSV & delimited files to SQL — in your browser

one sec
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Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | getsqlified.com | opal.so |
| Pricing | ||
| Company | 2025 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


SQLified is a browser-based tool that converts CSV, TSV, and other delimited data files into clean, import-ready SQL —CREATE TABLE plus batched INSERT statements — for PostgreSQL, MySQL, SQLite, and SQL Server. Unlike free one-off converters that choke around 100K rows, SQLified is built for...
No description of Opal.so yet.
What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Opal.so yet.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing SQLified and Opal.so.
SQLified's answer
Our ability to infer data types, and produce massive insert statements quickly across multiple dialects.
SQLified's answer
After using many online tools and being disappointed, I realized there was a need for a file that can create clean, type aware sql for bulk inserts. The product saves me tons of time every month dealing with large data sets in the payment industry and has reduced frustrations in dealing with them.
SQLified's answer
There are numerous competitors, but none that do what SQLified does well: this is type inference, and creating runnable SQL script for extremely large inserts in multiple dialects.
SQLified's answer
SQLified is designed for the solo developer, or the analytical employee dealing with large data sets, csv, or delimited files every day, and struggling with bulk insert. I want to eliminate that struggle so the real work can be done.
SQLified's answer
Our tools are simple, effective, and require little processing power. We store no data; all work is "ephemeral" and done on the users machine. We do not track, store, or maintain any datasets whatsoever in regards to whatever is converted on the site. We are also not trying to be something we are not. We do what we do, which is flat file to SQL dialect conversion, and we do it well.
Share your experience with using SQLified and Opal.so. For example, how are they different and which one is better?
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