Data Conversion Services

Convert data between file formats, databases and legacy systems with validation and repeatable rules.

Advanced ETL Processor
4.9 ★★★★★ Based on 16 reviews on Capterra See all reviews on Capterra →

Data conversion services change how data is represented: CSV to database, Excel to SQL, XML to SQL, JSON to relational tables, database to Excel, database to CSV and many older formats. Conversion changes representation. Transformation changes structure, meaning or values. Real projects often need both, because data enjoys making simple definitions work overtime.

Data conversion covers modern and older formats

  • CSV to database
  • Excel to database
  • XML to SQL
  • JSON to SQL
  • Database to Excel
  • Database to CSV
  • DBF and FoxPro migration
  • Access migration
  • Parquet conversion
  • Fixed-width files
  • Legacy exports

Conversion and transformation solve different problems

Conversion changes representation. A CSV file becomes a database table. A database query becomes an Excel workbook. XML becomes relational rows.

Transformation changes the data itself or its structure. It may split a field, calculate a value, standardise a code, validate a date, join reference data or reject invalid rows.

A safe conversion workflow often includes validation and light transformation because the target usually has rules. Databases are annoyingly particular about things like data types, keys and dates that actually exist.

Recurring conversions should be automated

If a conversion repeats, we can build a workflow that reads the source, validates structure, converts fields, writes the target and logs the result. That is useful for regular partner feeds, archive exports, migration rehearsals and reporting extracts.

Send enough detail for a useful first answer

For a quote, include sample data if possible and describe the current source, required output and how often the process runs. A tiny example file is often more useful than a long meeting. Nobody has ever said that about a long meeting.

  • Sample data or representative field list
  • Source format and destination format
  • Approximate record volume
  • Transformation, validation and mapping requirements
  • Processing frequency and delivery deadline
  • Required output files, tables, reports or exception logs

Frequently Asked Questions

Can you convert Excel files into a database?

Yes. We can convert Excel workbooks into SQL Server, PostgreSQL, MySQL, Access, SQLite and other database targets.

Can you convert JSON or XML into SQL tables?

Yes. Nested JSON and XML can be flattened, mapped and loaded into relational tables.

Can you convert old DBF or FoxPro data?

Yes. DBF and FoxPro exports can be converted, mapped, validated and migrated into modern targets.

Can conversion run automatically?

Yes. Recurring conversions can run on schedule, after file arrival or as part of a larger ETL process.