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The New Standard in Data Observability

SYNQ goes beyond traditional data observability to deliver a Data Product Observability Workflow that ensures your data is accurate, actionable, and ready to drive business impact.

Trusted by data-forward businesses

Detect & Resolve All Critical Data Issues

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

Define your business-critical use cases as Data Products, and monitor what matters. Not all tables are created equal.
Integrate dbt tests, SQL tests, and ML monitors to build a unified testing strategy. Identify relevant issues and alert the right stakeholders.
Resolve all issues with our Incident Management workflow and publish a real-time quality score that builds trust with key stakeholders.

Data Product Observability

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

Data Product Workflow

Step 1

Define your Data Product

Create reliable products — from ML models to datasets.

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Step 2

Clarify Severity & Ownership

Empower data owners to stay on top of their data.

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Step 3

Deploy Tests & Anomaly Monitors

Combine dbt tests and monitors into one testing strategy.

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Step 4

Resolve with Incident Mng.

Triage issues knowing the critical processes impacted.

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Step 5

Review Data Quality Analytics

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Data Observability

Logs, Schema, Assets, Column-code lineage, etc. Anomaly Monitoring: Volume, Freshness, Custom SQL

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.

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.

Synq & dbt

SQLMesh

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

SQL Mesh

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.

4.8

Integrate with the tools in your stack.

The best data teams integrate with the best tools. See all our integrations

SYNQ Latest

Oct 28, 2024

Building Incident Management at SYNQ

The why? is the cornerstone to building anything at SYNQ. If you understand the why of it, you build something that your customers actually need rather than blindly copy things that are available in the market.

Karan Gupta