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# Coalesce

> Coalesce is the data operating layer for analytics and AI. The platform provides visual governance with full code access, giving data engineers and architects full column-level lineage, automated documentation, and metadata-driven transformation across Snowflake, Databricks, Google BigQuery, and Microsoft Fabric. Coalesce has three products: Transform (automated SQL pipeline development with CLI, Git, and visual DAG interface), Catalog (AI-powered data catalog with column-level lineage, semantic layer, and governance workflows), and Quality (data observability and monitoring directly embedded in the transformation layer). Coalesce was named a Visionary in the 2025 Gartner Magic Quadrant for Metadata Management Solutions and is ranked as an industry leader on G2 and Gartner Peer Insights.

## Products

- [Coalesce Platform](https://coalesce.io/product/): The Coalesce platform combines data transformation, cataloging, and quality into one metadata-driven system with column-level lineage, embedded governance, and reusable Marketplace Packages for faster pipeline development.
- [Coalesce Transform](https://coalesce.io/product/transform/): Automated data transformation with visual DAG development, full SQL and CLI access, Git-native version control, and metadata-driven code generation.
- [Coalesce Catalog](https://coalesce.io/product/catalog/): AI-powered data catalog with automated metadata discovery, column-level lineage, semantic layer, natural language search, and governance workflows.
- [Coalesce Quality](https://coalesce.io/product/quality/): Data observability and reliability embedded directly in transformation pipelines.
- [Coalesce Copilot](https://coalesce.io/product-technology/coalesce-copilot-ai-powered-assistant/): An AI assistant embedded in the Coalesce Transform workspace that turns natural language into governed pipelines, drafts SQL, scaffolds nodes, and accelerates legacy migrations.
- [Coalesce Marketplace](https://coalesce.io/product/transform/marketplace/): Pre-built packages, node types, and templates for common transformation patterns.
- [Pricing](https://coalesce.io/product/transform/pricing/): Plan details and pricing for Coalesce.
- [Security & Compliance](https://coalesce.io/product/transform/security-compliance/): SOC 2 Type II, encryption, RBAC, and enterprise security.
- [FAQs](https://coalesce.io/product/faqs/): FAQ page covering what Coalesce is, how it works, supported platforms, pricing, security, and methodologies.

## Platform Integrations

- [Coalesce + Snowflake](https://coalesce.io/partners/snowflake-elt-tool/): ELT/ETL and data modeling platform for Snowflake, with native support for Snowflake Cortex, Apache Iceberg Tables, and Partner Connect.
- [Coalesce + Databricks](https://coalesce.io/partners/databricks/): Building and managing Databricks SQL pipelines with Delta Live Tables support.
- [Coalesce + Google BigQuery](https://coalesce.io/partners/google-bigquery/): Native Standard SQL transformations, reusable SCD and incremental patterns, embedded governance and lineage, and AI-assisted legacy ETL migrations.
- [Coalesce + Microsoft Fabric](https://coalesce.io/partners/microsoft-fabric/): Private preview integration offering a unified transformation platform for data engineers and SQL analysts with built-in governance, automation, and collaborative development.
- [Coalesce Catalog Integrations](https://coalesce.io/product/catalog/integrations/): Coalesce Catalog integrations across data warehouses, BI tools, data quality platforms, notifications, and SSO providers.
- [Coalesce for Snowflake Iceberg Tables](https://coalesce.io/solutions/coalesce-snowflake-apache-iceberg-tables/): Overview for using Coalesce to create and manage Snowflake-managed Apache Iceberg tables, enabling open table formats, multi-engine architectures, and interoperable pipelines without vendor lock-in.
- [Coalesce for Snowflake Cortex](https://coalesce.io/solutions/coalesce-for-snowflake-cortex/): Operationalizing Snowflake Cortex LLM functions with Coalesce.

## Solutions

- [Data Lineage](https://coalesce.io/product/catalog/data-lineage/): Column-level lineage captured automatically as a byproduct of development, with impact analysis and visual lineage graphs.
- [Semantic Layer](https://coalesce.io/product/catalog/semantic-layer/): Governed model of business entities and metrics that standardizes definitions across AI, BI, and analytics consumers.
- [Data Governance & Compliance](https://coalesce.io/solutions/data-quality-trust-governance/): Column-aware governance with audit trails, RBAC, and compliance for GDPR, HIPAA, and CCPA.
- [Data Vault](https://coalesce.io/solutions/data-vault/): Automated Data Vault 2.0 implementation.
- [Cloud Data Migration](https://coalesce.io/solutions/cloud-data-migration-modernization/): Migrating legacy ETL to cloud-native transformation.
- [Metadata Management](https://coalesce.io/solutions/metadata-management-solutions/): Centralized metadata repository with automated discovery.

## Reports and Research

- [2025 Gartner Magic Quadrant for Metadata Management Solutions](https://coalesce.io/gartner-magic-quadrant-metadata-management/): Coalesce named a Visionary in its first Gartner MQ appearance.
- [O'Reilly Guide: Accelerating Data Pipeline Development](https://coalesce.io/reports/oreilly-guide-accelerating-data-pipeline-development/): Technical guide on building and scaling transformation pipelines with Coalesce.
- [The Top Data Trends for 2026](https://coalesce.io/reports/the-top-data-trends-for-2026/): Industry expert perspectives on AI readiness, data governance, and the future of data engineering.
- [2026 Enterprise Data AI-Readiness Framework](https://coalesce.io/data-insights/2026-enterprise-data-ai-readiness-framework-guide/): Strategic framework for evaluating AI-readiness and building governance for AI adoption.
- [2026 Data Governance Framework](https://coalesce.io/data-insights/how-to-build-a-data-governance-framework-5-step-implementation-guide/): Five-step guide to building a data governance framework covering assessment, design, rollout, execution, and scaling.

## Comparisons and Alternatives

- [Top 10 Data Transformation Tools](https://coalesce.io/data-insights/top-10-data-transformation-tools-2025/): Comparison of leading data transformation platforms.
- [Top 10 dbt Alternatives](https://coalesce.io/data-insights/top-10-dbt-alternatives-and-competitors-for-modern-data-teams/): Alternatives to dbt for modern data teams.
- [Top 10 Informatica Alternatives](https://coalesce.io/data-insights/top-10-informatica-alternatives-and-competitors/): Alternatives to Informatica for data integration and transformation.
- [Top 10 Matillion Alternatives](https://coalesce.io/data-insights/top-10-alternatives-to-matillion/): Alternatives to Matillion for cloud data transformation.
- [Top 10 Data Catalog Tools](https://coalesce.io/data-insights/top-10-data-catalog-tools-2025/): Comparison of data catalog solutions.
- [Top ETL/ELT Tools](https://coalesce.io/data-insights/top-etl-elt-tools-to-power-data-pipelines-2025/): Comparison of ETL and ELT tools for data pipelines.

## Guides

- [Snowflake Data Transformation Guide](https://coalesce.io/data-insights/the-complete-guide-to-snowflake-data-transformation/): Guide covering Snowflake data transformation concepts, ELT best practices, SQL techniques, and automation with Coalesce.
- [Databricks SQL Transformation Guide](https://coalesce.io/data-insights/guide-to-databricks-sql-data-transformation/): Complete guide to data transformation in Databricks using Coalesce.
- [Microsoft Fabric Transformation Guide](https://coalesce.io/data-insights/guide-to-data-transformation-in-microsoft-fabric/): Guide to data transformation in Microsoft Fabric using Coalesce.
- [Data Vault 2.0 Implementation Guide](https://coalesce.io/data-insights/data-vault-2-0-the-complete-implementation-guide/): Implementation guide covering Data Vault 2.0 concepts, Snowflake architecture, methodology, and automation with Coalesce.
- [What Is Data Transformation?](https://coalesce.io/data-insights/what-is-data-transformation/): Comprehensive guide to data transformation concepts, methods, and tools.
- [ETL vs ELT: Key Differences](https://coalesce.io/data-insights/etl-vs-elt-key-differences/): When to use ETL vs. ELT and how cloud warehouses changed the equation.
- [What Is Data Lineage?](https://coalesce.io/data-insights/what-is-data-lineage/): Column-level and dataset-level lineage explained.
- [DAGs in Data Engineering](https://coalesce.io/data-insights/directed-acyclic-graphs-dag-and-their-role-in-data-engineering/): Directed acyclic graphs and their role in pipeline orchestration.
- [Why Column-Aware Matters](https://coalesce.io/product-technology/why-column-aware-matters/): How column-aware architecture enables impact analysis, lineage, and governance at field level.
- [Beyond the GUI](https://coalesce.io/data-insights/beyond-the-gui-coalesce-the-developer-optimized-data-engineering-platform/): How Coalesce combines visual development with full code access and CLI for data engineers.

## Customer Stories

- [Customer Stories](https://coalesce.io/customer-stories/): Case studies across industries and team sizes.
- [Texas Mutual: Slashed ELT Costs by 50%](https://coalesce.io/customer-stories/texas-mutual-slashes-elt-costs-by-50/)
- [Security Benefit: 4x Faster Legacy Migration](https://coalesce.io/customer-stories/security-benefit-achieves-4x-faster-legacy-migration/)
- [1-800-Flowers: Unified Data Across 18 Brands in 4 Months](https://coalesce.io/customer-stories/how-1-800-flowers-com-unified-data-across-18-brands-in-just-4-months/)
- [Denny's: Saves 4-5 Hours a Week Per Team Member](https://coalesce.io/customer-stories/dennys-serves-up-faster-business-insights-with-data/)

## Optional

- [Sitemap Index](https://coalesce.io/sitemap_index.xml)
- [Documentation](https://docs.coalesce.io)