Coalesce Acquires SYNQ to Bring Native Data Quality into the Data Operating Layer

Change is no longer the exception for data teams, it's the default. New sources, platforms, and use cases are constantly reshaping modern data environments. Teams are expected to move faster every quarter, often with the same headcount, while maintaining trust across analytics, operations, and AI-driven workloads.

Today, we're pleased to announce that Coalesce has acquired SYNQ, a modern data quality platform built to help teams detect issues early, understand impact instantly, and recover fast. As part of this acquisition, SYNQ will become Coalesce Quality,bringing proactive data quality and observability directly into the Coalesce data operating layer. Together, quality and observability ensure teams build data faster while understanding its health, behavior, and downstream impact in real time.

With this step, Coalesce now delivers end-to-end control across transformation, governance, and quality, helping teams move fast without chaos.

Why Data Quality Can't Be an Afterthought Anymore

For years, data quality has lived downstream of execution. When something breaks, teams scramble across dashboards, SQL editors, tickets, and tribal knowledge just to piece together what happened, who's impacted, and where to start fixing it.

That approach might work when systems are small and change is slow. It doesn't work when dozens of pipelines are shipping daily changes across multiple platforms, feeding business intelligence, operational reporting, and AI systems at the same time.

Modern data teams don't just need alerts, they need context. That context is what true observability provides. Beyond surface-level checks, observability connects data health signals to lineage, execution history, and downstream dependencies. It answers not just whether something is broken, but why it broke, what changed, and who is affected. SYNQ was built with this reality in mind.

Bringing Proactive Quality & Observability into Data Execution

SYNQ delivers lineage-aware data quality and deep observability for modern data stacks, helping teams surface issues before stakeholders feel them and resolve incidents with clarity instead of fire drills.

By bringing SYNQ into Coalesce as Coalesce Quality, data quality becomes a first-class capability embedded directly into data execution and governance workflows. This allows teams to proactively monitor critical pipelines and data products with full visibility into upstream changes, downstream consumers, and historical execution patterns. The result is fewer regressions, less late-night firefighting, and more confidence in every release.

If you're evaluating Coalesce, seeing Coalesce Quality in action is the fastest way to understand how proactive monitoring and impact-aware resolution work together in practice. You can book a Coalesce Quality demoto explore the experience firsthand.

What This Means for Customers

Whether you're a Coalesce customer today or coming from SYNQ, the goal of this acquisition is continuity with momentum.

Customers can expect the same teams and support they rely on today, now backed by a broader platform and deeper context. With Coalesce Quality, quality signals are no longer disconnected from execution. Teams gain clearer visibility into how issues propagate across pipelines and consumers, with observability built directly into transformation and governance workflows. This means fewer surprises during releases, and faster recovery when something does go wrong.

Over time, this combination will enable tighter workflows and a more seamless path from detection to resolution while preserving the trust and stability that customers expect. If you're already working with Coalesce and want to explore access to Coalesce Quality, including a guided pilot in your own environment, reach out to your Coalesce account team to learn what's available.

Built for the AI Era

As analytics, operational workloads, and AI systems increasingly depend on shared data foundations, quality can't be reactive - and it can't be optional.In AI-driven systems, observability becomes essential. Teams need to understand not just whether data is correct, but how it changes over time, how models depend on it, and how issues propagate into predictions and automated decisions.

By uniting Coalesce and SYNQ, we're embedding quality directly into data execution, making trusted data the default outcome of change rather than something teams chase after incidents occur. The future of data platforms isn't more tools, it's fewer gaps between how data is built, governed, and trusted.

How to Get Started

We're excited to begin integrating Coalesce Quality into the Coalesce platform and will share more details in the coming weeks. Customers will receive additional information directly, including guidance on rollout timing and availability.

If you'd like to see Coalesce Quality in action, book a Coalesce Quality demowith us. If you're an existing customer, reach out to your Coalesce account team to learn about enablement and early access.