
DataScreenIQ
Real-time data quality screening for data pipelines — PASS /
Details
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- Categories
- Developer ToolsData & Infrastructure
- Use Cases
- Data AnalysisData Integration
- Target Audience
- DevelopersDevOps EngineersData Scientists
- Pricing
- Freemium from $19
- Platforms
- API
- Alternative To
Soda
Monte Carlo
About DataScreenIQ
DataScreenIQ — Real-time data quality firewall for data pipelines. Screens every payload at the ingest boundary before your warehouse sees a single row. Returns PASS / WARN / BLOCK in under 10ms. Detects: Schema drift — fields added, removed, or renamed Type mismatches — numeric field now has strings Null rate spikes — completeness drops overnight Distribution anomalies — values outside expected range Duplicate rates — unexpected cardinality collapse Timestamp staleness — data older than expected Empty string rates — "" masquerading as null Row count anomalies — batch size deviates 3× Integrates with: Apache Airflow · Prefect · dbt · GitHub Actions · any HTTP client Free tier: 500K rows/month · Runs on Cloudflare Workers · Zero data retention https://github.com/AppDevIQ/datascreeniq-python
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Reviews (2)
Average 4.5 out of 5
Based on 2 reviews






Comments (1)
I built DataScreenIQ because every data engineer (including me) has been burned by silent data failures , it solves a long standing issue , that has been a issue for data engineers and it solves it