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.

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Trusted by data-forward businesses

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Monitor & Test Your Data

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

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.
Anomaly Monitoring
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.
Data Visualization

Ownership & Alerting

Responsibility for data quality should be shared both within and beyond your data team. SYNQ lets you align ownership across engineering, BI analysts, analytics engineers, and business stakeholders. An intelligent alerting system ensures the right people know when to act.

Create an ownership structure in minutes
There’s no more need to go through a tagging process to express ownership of items. SYNQ can define rules to instantly create an ownership structure in a variety of ways.
Reduce the burden for data engineers on call
Automatically route relevant alerts about data issues to the right owners, so on-call engineers don’t have to intervene. Say goodbye to tedious on-call Slack triages to find out who was the last modifier for each failed model.
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Root-Cause Analysis & Lineage

Get a full lineage of all issues, how they relate to each other, and which is the likely root cause of your problem.

Discover relevant code and schema changes
Automatically find out if the issue is caused by upstream schema or code changes.
Lineage that blends with your code
Merge lineage and code into a single workflow and debug issues across hundreds of lines of SQL code with ease.
Data Lineage

Incident Management & Issue Resolution

SYNQ gives data teams everything they need to detect issues early, manage incidents efficiently, and keep critical data flowing reliably. From instant alerts to clear ownership and streamlined workflows, SYNQ turns incident management into a seamless part of your data operations.

From detection to resolution in a single workflow
SYNQ facilitates a workflow – from issue detection, to impact assessment, to resolution, and post-incident analysis. Manage your data issues and incidents end-to-end with ease.
Triage issues. Declare incidents.
Not every data issue needs to be an incident. SYNQ helps you distinguish between minor anomalies and critical system-level problems, so your team can stay focused and act only when it truly matters. With intelligent insights and automated severity detection, incidents are declared with precision—not noise.
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Data Quality Analytics & Reporting

Gain insights into the quality, usage, cost and performance of your data platform — with SYNQ’s unified cross-platform analytics.

Analytics that traverses platforms
There’s a limit to the value of analytics you can obtain from each platform you use. Gain insights that span your platforms instead — from orchestrator to BI. Uncover actionable suggestions to improve quality, performance, cost, and establish SLAs.
Get use-case centric insights
There’s no need to wade through dozens of filters to get the answers you need. Focus on unearthing actionable insights that are relevant to a specific audience.
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Why SYNQ?

How does SYNQ differentiate from its peers on the market.

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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.

Product Screenshot of Ownership

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.

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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.

Trusted by the Best. Built for Excellence

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

Aiven customer story
Lunar customer story
Typeform customer story
Dext customer story
Instabee customer story

Integrate with the tools in your stack

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

Build with data you can depend on

Join the data teams delivering business-critical impact with SYNQ.

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