Migrate SSRS Reports to PostgreSQL
SSRS reports are locked to SQL Server. ReportBridge's AI conversion pipeline converts T-SQL queries to PostgreSQL automatically — 97% pass rate across 198 production reports. Drop your SQL Server license and run reports on open-source PostgreSQL.
Why Migrate to PostgreSQL?
PostgreSQL is the world's most advanced open-source relational database. It handles everything SQL Server does — without the licensing cost or Windows dependency.
Zero Licensing Cost
PostgreSQL is open-source. No per-core, per-user, or per-server licensing. A production instance on AWS RDS costs $200-500/month. Compare that to $50K+/year for SQL Server Enterprise with Windows Server.
Run Anywhere
PostgreSQL runs on Linux, macOS, Windows, Docker, Kubernetes, and every major cloud provider. No Windows Server dependency. Deploy on AWS, GCP, Azure, or bare metal — your choice.
AWS-Native
Amazon RDS for PostgreSQL, Aurora PostgreSQL, and Supabase all provide managed PostgreSQL with automated backups, Multi-AZ failover, and monitoring. If your infrastructure is on AWS, PostgreSQL is the natural database choice.
Enterprise-Grade Performance
PostgreSQL handles complex queries, stored procedures, CTEs, window functions, and JSON operations. It has full ACID compliance, row-level security, and parallel query execution. It is not a compromise — it is a tier-one production database.
The T-SQL to PostgreSQL Conversion Challenge
SQL Server and PostgreSQL are both ANSI SQL databases, but their dialect differences are significant. SSRS reports use T-SQL — a Microsoft-specific SQL dialect with proprietary functions, syntax, and behaviors. Converting 50-500 reports manually means rewriting hundreds of queries by hand, testing each one, and handling edge cases in date functions, type casting, null handling, and string operations.
For organizations with 200+ SSRS reports, manual conversion represents 400-600 developer-days of work — $200K-$600K in labor costs at typical rates.
Common T-SQL to PostgreSQL Patterns
| T-SQL (SQL Server) | PostgreSQL | Pattern |
|---|---|---|
| ISNULL(col, 0) | COALESCE(col, 0) | Null handling |
| SELECT TOP 100 ... | SELECT ... LIMIT 100 | Row limiting |
| GETDATE() | NOW() | Current timestamp |
| DATEPART(year, col) | EXTRACT(YEAR FROM col) | Date extraction |
| CONVERT(VARCHAR, col) | CAST(col AS TEXT) | Type conversion |
| col1 + ' ' + col2 | col1 || ' ' || col2 | String concatenation |
| DATEDIFF(day, a, b) | (b::date - a::date) | Date difference |
| [Column Name] | "Column Name" | Quoted identifiers |
These are just the common patterns. Production SSRS reports also use CROSS APPLY, PIVOT, dynamic SQL, CTEs with recursive queries, and dozens of other T-SQL-specific constructs.
How ReportBridge AI Conversion Works
ReportBridge uses AI (Claude via Anthropic or AWS Bedrock) to convert T-SQL to PostgreSQL. The conversion is not a find-and-replace tool — it understands SQL semantics and rewrites queries for PostgreSQL compatibility.
Upload Your RDL Files
Upload your existing SSRS .rdl files through the admin interface. ReportBridge extracts all T-SQL queries, parameters, and data source references from each report.
AI Converts T-SQL to PostgreSQL
Each T-SQL query is sent to the AI along with your PostgreSQL schema context. The AI rewrites the query for PostgreSQL syntax, handling all dialect differences — ISNULL to COALESCE, TOP to LIMIT, GETDATE() to NOW(), and hundreds of other patterns.
Automated Test and Fix Loop
Converted SQL is tested via EXPLAIN against your live PostgreSQL database. If a query fails, the error message is fed back to the AI for correction. This loop runs up to 5 times per query, catching edge cases that the initial conversion missed. This is how ReportBridge achieves a 97% pass rate.
Side-by-Side Validation
ReportBridge runs each report against both SQL Server and PostgreSQL, comparing output row by row. You see exactly which reports match and which need manual attention — no guesswork during cutover.
PostgreSQL Conversion by the Numbers
97%
Automated pass rate
198
Production reports converted
370+
Automated tests
5
AI fix attempts per query
SSRS to PostgreSQL — Frequently Asked Questions
Can T-SQL queries be automatically converted to PostgreSQL?
Yes. ReportBridge uses AI (Claude via Anthropic or AWS Bedrock) to convert T-SQL queries to PostgreSQL syntax. The conversion pipeline achieved a 97% pass rate across 198 production reports. Common patterns like ISNULL, TOP, GETDATE(), CONVERT, and DATEPART are handled automatically.
What T-SQL patterns does the converter handle?
The AI converter handles ISNULL to COALESCE, TOP N to LIMIT N, GETDATE() to NOW(), CONVERT/CAST syntax differences, DATEPART/DATEDIFF to EXTRACT, string concatenation with + to ||, ISNUMERIC to regex patterns, square bracket identifiers to double quotes, and hundreds of other T-SQL-specific patterns.
What happens when automatic conversion fails?
When a query fails conversion, ReportBridge runs an automated test/fix loop: the converted SQL is tested via EXPLAIN against your PostgreSQL database, errors are fed back to the AI for correction, and this process repeats up to 5 times. Of the reports tested, fewer than 5% required manual SQL intervention — and those contained custom VB.NET code, not standard T-SQL.
Do I need to redesign my RDL reports for PostgreSQL?
No. ReportBridge converts only the SQL queries inside your RDL files. The report layout, formatting, parameters, headers, footers, and page breaks are preserved exactly as they are. Your reports render with full fidelity on PostgreSQL.
How much does SQL Server to PostgreSQL migration save?
Organizations typically save $20K-80K per year in SQL Server and Windows Server licensing costs by migrating to PostgreSQL. PostgreSQL is open-source with no per-core or per-user licensing. A production PostgreSQL instance on AWS RDS runs $200-500/month vs $50K+/year for equivalent SQL Server licensing.
Drop SQL Server. Keep Your Reports.
ReportBridge converts your SSRS reports to PostgreSQL with AI — no manual query rewriting, no report redesign. See your reports running on PostgreSQL in minutes, not months.