DataPulse
Real-time database observability
Always-on AI monitoring that watches query performance, data quality, and pipeline health. Learns what matters to your team and only alerts when it counts.
<30s
Avg detection time
82%
Alert noise reduction
50+
Supported sources
90 days
Retention
Capabilities
What DataPulse does
Use cases
Where teams use DataPulse
Production query monitoring
Catch regressions the moment a deploy ships. DataPulse baselines query latency per environment and pages on real deviations only.
Data quality watchdog
Score freshness, completeness, and distribution drift across critical tables. Stop bad data from reaching dashboards.
Pipeline health dashboards
Get a single pane of glass for ingestion, transformation, and delivery — built for analytics engineers and SREs.
FAQ
Common questions
Which databases does DataPulse support?
Postgres, MySQL, SQL Server, Snowflake, BigQuery, Redshift, ClickHouse, MongoDB, and 40+ others through native or JDBC connectors.
How are alerts kept quiet?
DataPulse models your historical telemetry and adapts thresholds per metric, per environment. You configure intent ('page me on customer impact'), not numbers.
Can I export metrics to my own observability stack?
Yes. DataPulse exports to Prometheus, Grafana, Datadog, and OpenTelemetry endpoints out of the box.
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