Prevent bad data from sneaking into your business
Combine explicit tests for business rules with self-learning monitors that detect anomalies without fragile thresholds. All set in minutes.
Customer Report
Monthly Revenue Report
Unified error detection
Tests and monitors working hand-in-hand
Combine automated testing and self-learning anomaly monitoring into one powerful data testing strategy to detect all errors.
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Business logic tests
Bring your existing dbt tests into Synq and gain an up-to-date overview of data quality across your stack. -
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- Assess values and shape of your data
- Highlight broken data contracts
- Keep your data aligned with your business rules
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Adaptive monitors
Complement business rules with self-adapting monitors that learn how your business works. -
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- Detect data pipelines that stop running
- Act on sudden drops or increases in your data
- Discover trends that might become issues
No manual thresholds
Monitors that learn how your business works
Automatically adapting to seasonality of your business, learning from your feeedback, with explainable predictions. Our multi-stage monitoring pipeline accurately detects anomalies while reducing false positive alerts.
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Robust seasonal models
Deploy monitors that learn your business' trends and weekly and intraday seasonalities. -
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Adapting to your feedback
Prevent alert fatigue by controlling how Synq monitors work. Synq learns from your feedback and adjusts its sensitivity to your risk profile. -
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Explainable predictions
Is it a one-off spike or a long-term shift in your data? Go beyond finding an anomaly. We help you understand what exactly happened.
Strategic placement
Detect errors early with precisely placed monitors. Keep your inbox clean.
Prevent alert overload by deploying monitors where they provide the most value. No need to blast anomaly detectors everywhere to detect the same issue.
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Handpick tables to monitor
Select any subset of tables in your data warehouse to monitor exactly what you need. -
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Automate placement with dbt
Select tables related to dbt sources or with relevant metadata to control where monitors deploy. -
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Route alerts to the relevant people
Surface anomalies in alerts targeted to the right people to prevent alert overload.
Comprehensive monitoring
The right monitors for every use case
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Volume monitor
Identify abnormal changes in volumes of your data. No more, and no less than expected. -
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Freshness monitor
Detect changes in the refresh rate of your data. -
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Distribution
Surface sudden changes in data distributions. -
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Schema
Catch schema changes that break downstream pipelines.
Important data alerts left unnoticed in the Slack noise?
Define ownership across your data tests and monitors and bring relevant and targeted alerts directly to the right people. Activate ownership
Stop the bad data with Synq
Join data-forward companies in practively preventing data issues.
Trusted by data-forward businesses.
