The New Standard in Data Observability

SYNQ ensures your most critical data is reliable and ready to drive business impact. We empower your team to uncover and resolve data issues before they become problems, so you can deliver trusted data products.

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Trusted by data-forward businesses

Detect & Resolve All Critical Data Issues

SYNQ guarantees accurate, reliable, and trustworthy data without disruption.

Data Product Observability

Go beyond traditional observability to ensure the reliability, quality, and performance of critical Data Products.

Step 1

Define your Data Product

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Create reliable products — from ML models to datasets.

Step 2

Clarify Severity & Ownership

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Empower data owners to stay on top of their data.

Step 3

Deploy Tests & Anomaly Monitors

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Combine dbt tests and monitors into one testing strategy.

Step 4

Resolve with Incident Mng.

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Triage issues knowing the critical processes impacted.

Step 5

Review Data Quality Analytics

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Data Product Workflow

Data Observability

Logs, Schema, Assets, Column-code lineage, etc.

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Anomaly Monitoring: Volume, Freshness, Custom SQL

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Why SYNQ?

How does SYNQ differentiate from its peers on the market.

Built for Analytics Engineering

SYNQ is built for analytics engineering workflows rooted in models, metrics, contracts, and data products — not just tables.

Intuitive workflows to debug issues, and manage incidents across dbt Core, dbt Cloud and SQLMesh.

Focused on Data Products

SYNQ anchors observability in Data Products, enabling teams to focus on data quality aligned with critical use cases - i.e. Financial Reporting.

Reduce alert fatigue, increase relevancy of alerts and prevent issues that could impact business-critical operations.

Unified approach to governance

SYNQ brings data testing, anomaly monitoring, and governance checks into a single framework, organised into 6 Key Governance Pillars .

Align Governance, Data & Analytics Engineers around unified and actionable metrics and SLOs.

Built for Data Practioners

dbt Core & Cloud

Complement your dbt tests with anomaly monitors, unify incident management and get end-to-end column-code lineage for both core and cloud.

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SQLMesh

Observability for data transformations focused on accurate and efficient data pipelines for transformation, testing, and collaboration.

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Trusted by the Best. Built for Excellence

Find out why data-centric organisations trust their data to SYNQ. Read some customer success stories →

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Our customers love us

4.8

"We chose SYNQ as our end-end data observability platform due to the capabilities to proactively catch issues with a powerful anomaly detection engine, and the issue resolution & ownership workflow tightly integrated with dbt."

Paul Flynn

Head of BI - Instabee

"SYNQ helps us unify errors from all our systems into one place to easily see if issues originate from Redshift or BigQuery, who its owner is, potential root causes, and the downstream impact."

Weiting Xu

Director of Data - Cazoo

"We now catch issues proactively – the relevant teams outside the data team are responsible for fixing breaking changes caused by data from systems they own. This frees up the data team and reduces the time to resolution."