Four core engines working together: query optimization, schema AI, streaming pipelines, and anomaly detection.
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Dreambase intercepts every query at the proxy layer and runs it through an AI model trained on millions of real-world execution plans. Slow joins get rewritten. Missing indexes get flagged. Suboptimal scan strategies get replaced — all before a single row is read.
The result: application code that hasn't changed, but databases that perform like they were hand-tuned by your best DBA on every request.
Production schemas drift. Columns get added without announcements, foreign keys get dropped in migrations, indexes that once made sense stop being used. Dreambase continuously maps your schema, tracks every change, and surfaces breaking differences before they hit your app.
Ask Dreambase why two tables are joined the way they are. Get an explanation in plain English. No digging through git blame, no querying the INFORMATION_SCHEMA manually.
Traditional ETL pipelines batch data in windows, introducing latency that accumulates into multi-minute lag between reality and your dashboards. Dreambase replaces that pattern with a streaming-first architecture that delivers rows to their destination as soon as they're written.
Connect Postgres, Kafka, S3, and more. Set destinations. Let the pipeline run. No orchestration code, no cron jobs, no backfill disasters.
Four stages, fully managed, continuously optimized.
Data arrives from any source via our proxy or connector layer.
AI continuously updates index recommendations as query patterns evolve.
Every query is analyzed and rewritten for maximum execution efficiency.
Results return to your application with full observability metadata attached.
A direct comparison across the capabilities that matter most in production.
| Capability | Dreambase | Manual Tuning | Managed DB Service |
|---|---|---|---|
| Query rewriting | AI-automated, real-time | Engineer-only, slow | Not available |
| Schema monitoring | Continuous, automated alerts | Manual schema compares | Basic change tracking |
| Pipeline latency | Sub-second streaming | Depends on implementation | Typically batch-only |
| Multi-source federation | Postgres, MySQL, Mongo, S3 | Requires custom code | Single engine only |
| Zero migration | Proxy layer, no schema changes | Requires schema refactor | Requires migration |
| AI explanations | Natural language for every query | Not available | Not available |
Ready to see what Dreambase can do for your database? Schedule a 30-minute demo with our engineering team.
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