Find the current
behind every query.
DataCurrent connects workload signals, execution plans, lineage, and AI reasoning into one evidence-first investigation flow.
Overview
Sequential scan regression
A filter on orders.created_at is scanning 8.4M rows after cardinality drift.
Seq Scan · cost 284,901SELECT o.id, c.name FROM orders o…PostgreSQL48.2k842ms+62%SELECT event_type, COUNT(*) FROM events…Snowflake12.8k318ms−14%WITH inventory_state AS (SELECT…PostgreSQL7.1k146ms+3%Illustrative product preview · the full application reads live database evidence at runtime
From signal to measured outcome.
Every recommendation keeps a visible chain of evidence—from the workload event that started the investigation to the benchmark that validates the result.
Detect
Capture cumulative statistics, snapshots, and regressions without inventing traces.
Explain
Read plan operators, schema context, and lineage as a single investigation.
Recommend
Generate structured hypotheses with evidence, confidence, and tradeoffs.
Verify
Benchmark safely in isolation and report median, p95, and result agreement.
Built for evidence,
bounded by design.
Credentials stay encrypted, AI tools receive minimized context, and production changes always remain under human control.
Understand your data.
Optimize every query.
Deploy the complete API, workers, metadata store, and web application with Docker Compose.
Run DataCurrent ↗