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Coalesce

About Coalesce

Coalesce is a data platform where people and AI agents build, govern, and observe data. It combines its Transform, Catalog, and Quality products in one platform. Work can be deployed by agents, in the UI, or through code.

Products

  • Transform: Builds, automates, and governs data transformations.
  • Catalog: Discovers, documents, and governs data assets with AI.
  • Quality: Monitors, tests, and validates data within the pipeline.
  • Coalesce Marketplace: Reusable packages for common patterns.

Used for

  • Migrating legacy SQL to modern pipelines with parity checks, lineage, and documentation.
  • Seeing the downstream impact of a change before it reaches production.
  • Building a data warehouse from scratch.

From Coalesce's own website, read 2026-10-23. How we build listings.

How to evaluate Data Integration & ETL

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Coalesce. It comes from our Data Integration & ETL/ELT buyer guide.

25%
Connector Breadth & Reliability
Coverage of your actual sources (SaaS apps, databases, files, events), depth of each connector (full vs. partial schemas, history), automated schema-drift handling, custom-connector SDK, and who maintains connectors when an upstream API changes
20%
Transformation Model & Engineering Workflow
ELT (in-warehouse SQL/dbt) vs. ETL (engine-side) vs. visual push-down; version control, testing, CI/CD, and lineage; reusability and modularity of models; and fit with your team’s SQL-vs-Python-vs-low-code balance
20%
Real-Time, CDC & Streaming
Log-based change-data-capture, achievable freshness, replication from operational databases, incremental-load handling, schema-evolution on streams, exactly-once semantics, and reverse-ETL/activation back to operational systems
15%
Governance, Lineage & Data Quality
Column-level lineage across the pipeline, in-line data-quality and validation, catalog/metadata integration, masking and PII handling, audit trails, and master-data or data-contract support for regulated environments
10%
Deployment, Security & Sovereignty
SaaS vs. self-hosted vs. hybrid/customer-VPC, where data and credentials reside, SOC 2 / ISO 27001 / HIPAA posture, private networking and BYO-cloud options, RBAC/SSO, and open-source vs. proprietary lock-in
10%
Cost Model & Predictability
Pricing unit (rows/MAR, capacity, credits, compute-hours, per-connector, per-seat), how cost behaves as volume and source count grow, warehouse-compute cost the tool pushes onto you, and whether spend is forecastable against your data growth

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Quick Facts

coalesce.io Pricing page
CategoryData & Analytics
SubcategoryData Integration & ETL

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Keep reading

Buyer Guide
Data Integration & ETL/ELT
State of Play
Enterprise integration (iPaaS)

The annual review of this market: what changed, with answers from the vendors in it.

Job 04
Control technology spend

AI is billed per use, so its cost grows with adoption while the rest of the budget is under review.