The New Standard in Data Observability
SYNQ ensures your most critical data is reliable by identifying issues before they escalate with intelligent monitoring, real-time insights, and automated root cause analysis.
Trusted by data-forward businesses
Detect & Resolve all Critical Data Issues — Automatically
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.
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 Practitioners
Trusted by the Best. Built for Excellence
Find out why data-centric organisations trust their data to SYNQ. Read some customer success stories →
Our customers love us
"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."
"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."
"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."
Integrate with the tools in your stack
The best data teams integrate with the best tools. See all our integrations →
SYNQ Latest
dbt vs SQLMesh: A Comparison For Modern Data Teams
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Introduction to Data Products: Everything you need to know
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Build with data you can depend on
Join the data teams delivering business-critical impact with SYNQ.