Everything we read, and how to send it.
A knowledge base of every database, file format and legacy system DataMeans can convert, plus a quick guide to getting your data in and out.
Prepare your file
Send the original database file, or a .zip of the whole folder with its index files. Keep everything just as it came off the old system so we can read the full structure when you upload.
Upload & preview
Drag it into the browser over an encrypted connection. We map the schema and show you a live preview of the tables and rows we found.
Choose a format & export
Download as CSV, Excel, JSON or SQL. Re-download anytime within your plan's access window.
Supported systems
If your data lives in it, there's a good chance we can read it. Search the catalog or filter by type.
Export formats
Every conversion can export to any of these. Pick the one that fits where your data is going next.
CSV / Delimited
Universal text format. Opens in any spreadsheet, database, or script. UTF-8 encoded with proper quoting.
Excel
One native workbook per table, typed columns, and headers ready for analysis. A sheet holds 1,048,575 rows and 16,384 columns in .xlsx, 65,535 and 256 in .xls — a table past either ceiling is listed in your report and left out of that format rather than silently cut short. The older .xls copy is also skipped for very large tables, where writing it would take far longer than the job itself; your report says which tables those were. CSV, JSON and SQL always carry every row.
JSON
Arrays or newline-delimited records, ready for APIs, pipelines, and modern applications.
SQL
CREATE + INSERT statements for PostgreSQL, MySQL, SQLite, ANSI SQL and SQL Server, schema included.