SYNQ Data
Claim this toolAutomate data quality and resolve issues before they impact your business with an AI agent.
From $1,250/mo (free plan available)Visit WebsiteReviews on G2
34 reviews trackedThe Bottom Line
- Price
- From $1,250/mo (free plan available). Compare plans
Key facts
- AI-powered data observability platform for proactive data quality management.
- Automates issue detection, root-cause analysis, and even suggests code fixes.
- Integrates with dbt, SQLMesh, and AI assistants for comprehensive data quality workflows.
Pros
- Proactive detection and resolution of data quality issues with AI.
- Deep integration with modern data stack tools like dbt and SQLMesh.
- Reduces time to resolution through automated root-cause analysis and code suggestions.
- Unifies monitoring, testing, and incident management in one platform.
- Enhances collaboration by connecting ownership to data assets and issues.
Cons
- SYNQ has been acquired by and folded into Coalesce, which introduces uncertainty about the product's standalone roadmap, pricing, and long-term direction for buyers evaluating it on its own.
- Pricing is not published anywhere; you have to book a demo and go through sales to get a quote, making it hard to budget or compare costs against alternatives before committing.
- The platform is built around the dbt and cloud-warehouse stack such as Snowflake, BigQuery, Redshift, and Databricks, so teams that do not run dbt-based transformation pipelines or that rely on streaming and operational data sources will get less value from its lineage and monitoring.
What is SYNQ Data?
SYNQ is a data observability platform designed to help businesses proactively identify and resolve data quality issues. It leverages an AI agent named Scout to monitor, analyze, and debug data problems, even generating code suggestions for fixes. The platform integrates with popular data transformation tools like dbt and SQLMesh, understanding models, dependencies, and transformations rather than just tables.
SYNQ provides comprehensive monitoring and testing capabilities, allowing users to combine dbt tests, SQLMesh audits, and anomaly monitoring to catch issues early. It also focuses on data product definition, ownership, and alerting, ensuring that critical data issues are quickly assigned and resolved. The platform includes robust root-cause analysis with lineage tracking and incident management features to streamline the resolution process.
SYNQ MCP (Multi-Context Processor) extends the platform's capabilities by integrating data observability directly into development and discovery workflows through AI assistants like Cursor, Claude, or OpenAI. This allows users to assess downstream impact before pushing to production, identify untested tables, pinpoint root causes, and even generate test recommendations and code fixes using natural language, making data quality accessible and actionable for data practitioners.
Available on: Web
Louis Corneloup Source synq.io ↗
Ratings Across the Web
4.7 (34 reviews)
SYNQ Data holds an aggregate rating of 4.7 out of 5 from 34 reviews across G2, last checked March 19, 2026.
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
- AI Agent (Scout) for monitoring, analysis, and issue resolution
- Anomaly monitoring with self-learning models
- Integration with dbt Core & Cloud for testing and lineage
- Integration with SQLMesh for data transformation observability
- Data product definition and visibility
- Ownership mapping and alerting for critical data
- Root-cause analysis with end-to-end column-code lineage
- Incident management and triage
Pricing Plans
Pricing checked Oct 6, 2026
| Plan | Price | Details |
|---|---|---|
| Free | $0 / month |
+1 more Show less
|
| Launch | $1250 / month |
+10 more Show less
|
| Grow | $2500 / month |
+16 more Show less
|
| Scale | Custom pricing |
+22 more Show less
|
Is SYNQ Data worth the price?
Fair value
SYNQ Data's pricing is on the expensive side for smaller teams, with the 'Launch' tier starting at $1250/month.
The 'Grow' tier at $2500/month offers more robust features but still represents a significant investment. This pricing structure is best suited for established businesses with critical data operations and budget to match.
Hidden Costs & Gotchas
Potential overage fees for monitors beyond tier limits.
Reviews
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4.7/5
Across 34 verified user reviews on G2
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SYNQ Data FAQ
How does SYNQ's Scout AI Agent contribute to data quality resolution?
Scout proactively monitors, analyzes, and resolves data quality issues. It generates fine-tuned data tests by analyzing lineage, usage patterns, and issue history, and provides ready-to-ship code suggestions to fix identified problems directly in the code.
What specific types of data quality issues can SYNQ's combined multi-metrics monitor detect?
The combined multi-metrics monitor, which integrates freshness, volume, bite size, schema, and growth monitors, can detect issues such as missing data loads, empty data loads, decreased ingestion, broken schema, and missing data. It also identifies more meaningful patterns like data delay and growth, distinguishing between missing and empty loads.
How does SYNQ facilitate the establishment of data ownership within an organization?
SYNQ allows users to define rules to instantly create an ownership structure based on metadata, folder structure, or smart filters. This enables the mapping of responsibility for critical data to the appropriate stakeholders across various teams, including engineering, BI analysts, and business stakeholders.
Can SYNQ's anomaly detection models adapt to seasonal business trends?
Yes, SYNQ's self-adapting monitors include robust seasonal models that can adapt to a business's trends, such as weekly or intraday seasonalities. This helps in accurately detecting anomalies while reducing false positive alerts by understanding expected changes in data patterns.
How does SYNQ help in reducing alert fatigue for data teams?
SYNQ reduces alert fatigue by allowing precise placement of monitors, automating placement with dbt tags and metadata, and routing relevant alerts to the correct owners. It also ensures that only necessary stakeholders are notified, preventing alert overload.
Source: synq.io