Coalesce Quality

Founded by Stephen Reidy

Monitor data quality, track data lineage, and resolve data pipeline incidents automatically

Pricing model

Free Trial

Rating

★ Positive

Time to value

Immediate

You can use SYNQ to monitor data quality and track pipeline anomalies before they affect business reporting. It continuously tracks tables, maps dependencies through lineage, and sends incident alerts directly to data owners. With Scout, an autonomous assistant, you can generate tests based on historical patterns, triage incoming alerts according to severity, and get code suggestions to fix errors directly in your transformation models. This visibility keeps your warehouse data reliable and shortens resolution times across systems like BigQuery and Redshift.

What Coalesce Quality does

Set up anomaly detection monitors on data warehouse tablesMap dependencies across data models with column-level lineageAssign data asset owners to receive targeted alertsGenerate automated data quality tests using AI recommendationsTriage incoming pipeline errors based on business importanceApply code suggestions directly to broken transformation modelsTrack resolution progress across open data quality incidentsAutomated anomaly detection across data pipelines and warehousesEnd-to-end data lineage tracking from source tables to dashboardsAutomated test generation based on historical data patterns and usageScout AI agent that triages data issues and provides code fixesDirect integration with dbt models and warehouse transformationsIncident management workflows with explicit asset ownership assignment

Pricing breakdown

Pricing model: Free trial

PlanList price

Starter (per user) (annual billing)$150 / mo, billed annually

Frequently asked

dbt

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