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Product Evaluation
JarvisX vs. Bladebridge
Bladebridge has been the legacy SQL converter for years. Here's how JarvisX's 13-layer quality engine, GitHub-native workflow, and modern pricing compare.
| Capability / Metric | Bladebridge | JarvisX |
|---|---|---|
| Pricing model | Pay-per-line / per-script | Flat monthly or pay-as-you-go ($0 free tier) |
| Source dialects | 10+ | 12+ (Teradata, Oracle, SQL Server, MySQL, PostgreSQL, Hive, Spark, Redshift, Druid, BTEQ + DataStage) |
| Target platforms | Major cloud DBs | BigQuery, Snowflake, Databricks, Redshift, PostgreSQL, Hive, Spark, DuckDB, SQL Server, Oracle |
| Validation layers | Provider-specific | 13-layer quality engine (sqlglot transpilation + deterministic rewrites + LLM + auto-repair + semantic scoring) |
| Auto-repair on syntax failure | Manual review | AI auto-repair loop with up to 3 attempts |
| GitHub integration | Export only | Import repo → convert → review inline → open PR back |
| Team collaboration | Limited | Workspaces, RBAC (owner/admin/reviewer/member), per-artifact sign-off |
| Real-time conversion preview | No | Yes — `/try-now` shows all 13 layers running live |
| Self-serve trial | Requires demo call | Free 50 artifacts/month, no credit card |
| SAML 2.0 SSO | Enterprise only | Enterprise plan ($1,999/mo) |
| SOC 2-aligned audit log | Yes | Yes |
Evaluation Summary
Bladebridge is solid for traditional Oracle/Teradata→cloud migrations and has years of enterprise track record. JarvisX differentiates on the 13-layer quality engine, real-time preview, GitHub-native workflow, and self-serve pricing — good fit if you want to ship a migration in weeks not months and don't want a 6-figure annual contract.