# Use AI without breaking your data | Coalesce > Markdown mirror of DialtoneApp's public top-site detail page for `coalescesoftware.io`. URL: https://dialtoneapp.com/top-sites/coalescesoftware.io/index.md Canonical HTML: https://dialtoneapp.com/top-sites/coalescesoftware.io ## Summary - Domain: `coalescesoftware.io` - Website: https://coalescesoftware.io - Description: ai readable | score 16 | purchase read only - Label: ai_readable - Payment surface: Not available - Purchase boundary: read_only - Control boundary: unknown - Rank: 211336 ## robots ~~~text User-agent: * Disallow: /wp-admin/ Allow: /wp-admin/admin-ajax.php Sitemap: https://coalesce.io/sitemap_index.xml ~~~ ## llms ~~~text # 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) ~~~ ## llms-full Not found.