Keep bad data out of your business

Root out errors and investigate issues with ease – thanks to a combination of automated testing and the most advanced self-learning anomaly monitoring on the market. It only takes minutes to set up.

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Build a unified testing and monitoring strategy

When you combine your dbt tests, data contracts, business tests, and self-learning monitors into a cohesive strategy, your data quality can be taken to the next level.

“As a regulated bank, our KPIs must be accurate, reliable, and updated on time. SYNQ solves our observability needs—and the anomaly monitors are an essential complement to our dbt tests to complete our data governance strategy.”

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Casper Orloff

Director of Data

Get a 360 view of your data

SYNQ brings together individual monitors to work together as one. A table multi-metrics monitor with laser precision, 24/7.

Five monitors working as one

Five monitors (freshness, volume, bite size, schema, growth) act as one, capturing every issue. Including missing data loads, empty data loads, decreased ingestion, broken schema or missing data.

More meaningful alerts and notifications

The combined monitor works with derived metrics such as data delay and growth to detect more meaningful patterns and can separate missing load from empty one.

Deepen your analysis with custom monitors

Complement your table monitors with custom monitors that power even deeper analysis of your data.

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Volume Monitor

Tracks data size changes, quickly spotting and alerting on anomalies.

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Volume Growth Monitor

Ensures data growth follows expected patterns, guarding against irregularities.

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Freshness Monitor

Checks that data updates arrive on schedule, ensuring timeliness.

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Distribution Monitor

Alerts to shifts in data distribution, safeguarding inputs/outputs of ML models.

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Custom SQL Monitor

Customizable monitoring using SQL for tailored data insights and checks.

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KPI Monitor

Monitors crucial business metrics, keeping them within target ranges.

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Missing Data Monitor

Detects and quantifies missing values, highlighting data completeness issues.

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Field Statistics Monitor

Provides detailed statistics on data fields to maintain quality.

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SQL Test

Uses SQL to enforce business rules, ensuring data meets specific business rules.

Harness the power of adaptive monitors

Complement business rules with self-adapting monitors that learn how your business works, so you don’t have to worry about adjusting thousands of fragile thresholds. Detect data pipelines that stop running, act on sudden drops or increases, and discover trends that might become issues.

Put self-learning plug & play monitors to work

SYNQ's multi-stage monitoring pipeline can accurately detect anomalies and reduce false positive alerts.

Automated model selection

SYNQ selects the appropriate underlying model based on the type of your data.

Robust seasonal models

Monitors adapt to your business's trends with weekly or intraday seasonalities.

Multi-stage detection

Anomalies are often double-confirmed, reducing noise.

Explainable alerts

With anomaly chart and description of detected anomalous data pattern.

Adapting to feedback

Ensuring that system can adjust to expected changes in your business.

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Take aim with precisely placed monitors

The broad-brush mass monitoring of data warehouses (which leads to alert overload) should be consigned to history. SYNQ is pioneering an era of precision monitoring, with the deployment of monitors to where they provide the most value.

Automate placement with dbt metadata

Use dbt tags and metadata to control where monitors deploy.

Rely on monitors upstream of critical data

Defend your critical data use cases with monitors automatically provisioned upstream.

Monitor all data sources with a few clicks

Ensure all data arrives to your data platform with monitors that auto-deploy to every new dbt source.

A fully integrated data observability platform

Our integrations make it easy to work with all the platforms and applications you want to use. We’re proud to be a fully integrated platform for data quality.

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