Best Progress DataDirect Alternatives ranked by AI · updated Aug 2026

Progress DataDirect provides commercial ODBC and JDBC drivers for relational, cloud, and enterprise data sources. It targets organizations that need supported connectivity, connection pooling, and integration with production data platforms.

Developer: Progress Software Price: Paid, custom pricing 🎯 progress.com/datadirect

Top 6 Progress DataDirect alternatives

3 Objectivity ODBC Driver logo

Objectivity ODBC Driver

Objectivity, Inc.

Objectivity ODBC Driver provides SQL and ODBC connectivity to Objectivity databases for business intelligence tools, reporting applications, and custom software. It is...

Pros

  • Provides ODBC access to Objectivity databases without replacing the underlying object database
  • Works with standard SQL-oriented reporting and analytics tools
  • Designed for applications already built around Objectivity/DB

Cons

  • Limited to the Objectivity database ecosystem
  • Less broadly supported than mainstream relational database drivers
  • Niche documentation and community resources compared with PostgreSQL or SQL Server drivers

Microsoft ODBC Driver for SQL Server is a free driver for connecting applications and tools to SQL Server and Azure SQL databases....

Pros

  • Free to download and supported directly by Microsoft
  • Strong compatibility with SQL Server and Azure SQL features
  • Regular updates for current operating systems and security requirements

Cons

  • Supports SQL Server and Azure SQL rather than many heterogeneous sources
  • Provides less portability across database vendors than DataDirect
  • Does not replace connectors for SaaS, NoSQL, or unrelated databases
6

psqlODBC

PostgreSQL Global Development Group

psqlODBC is the official open-source ODBC driver for PostgreSQL databases. It lets reporting tools, desktop applications, and custom software use PostgreSQL through...

Pros

  • Free and open source with no per-seat driver licensing
  • Strong compatibility with PostgreSQL data types and SQL features
  • Backed by the PostgreSQL project and widely used in analytics tooling

Cons

  • Only targets PostgreSQL rather than Objectivity databases
  • Requires a relational database migration for Objectivity users
  • PostgreSQL-specific behavior may require application changes

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