What's new in SYNQ

Scout is our data quality agent that’s proactively monitoring, analysing, and resolving data quality issues on your behalf.

What's new in SYNQ

Bridging model and table-level concepts to make the best-in-class data observability and SQLMesh integration

Combine SQLMesh DataOps workflows with SYNQ’s Data Product Observability layer to deliver reliable data products

Reflecting on 2024, SYNQ introduced the Data Product Observability Workflow, enhancing data reliability through strategic testing, ownership activation, and quality metrics. Key developments include the launch of Data Products for streamlined monitoring and SLA tracking, advanced incident management features, and comprehensive data quality analytics. These innovations have empowered enterprises like IAG and Aiven to optimize their data operations effectively.

Discover how Synq developed its Incident Management system tailored for data teams, integrating error detection, ownership, and lifecycle management to enhance data reliability.

Explore Synq’s tailored approach to incident management for data teams, highlighting key stages like issue detection, triage, handling, and post-incident analysis.

Building new software engineering-like workflows

As column-level lineage becomes the standard, what is next?

A year of growth, learning, and shipping

Discover how Synq’s self-learning testing engine enhances data reliability by dynamically detecting anomalies, reducing false positives, and integrating seamlessly with existing dbt tests.