--- title: "Connectors | Atlan" url: "https://atlan.com/connectors/" description: "Browse native connectors for databases, BI tools, data warehouses, and more. Connect your entire data stack to Atlan in minutes." --- > Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/ **Your AI agents are flying blind. Atlan gives them the context to act.** Connect Atlan to your business systems and bring all your existing organizational context into your Enterprise Context Layer. This page lists Atlan's native connectors by category, how setup works, and how to build your own connector on the Atlan App Framework. [Book a Demo](https://atlan.com/forms/talk-to-sales-contact/) (30-min call). ## Start building your context layer in 3 steps Atlan's connectors are built for everyone. Choose from OAuth or API credentials, select the scope, and set a schedule. 1. **Authenticate your connection.** Connect with OAuth or API credentials. Test your authentication before running so you can pre-empt failures, not debug them. 2. **Scope what to bring in.** Choose what to bring in at the database, schema, or table level. 3. **Schedule and start ingesting.** Set your crawl to run daily, weekly, or on-demand. Atlan handles incremental updates automatically so your context always reflects your current stack, with no manual maintenance required. ## Native connectors for every layer of your stack 108 connectors in 15 categories, as listed in the page's connector grid. Each connector links to its setup docs on https://docs.atlan.com/. "Partner built" marks connectors built by Atlan partners. - **BI Tools** (21): Amazon QuickSight, Anaplan, Domo, IBM Cognos Analytics, Looker, Metabase, MicroStrategy, Microsoft Fabric, Microsoft Power BI, Microsoft SQL Server Reporting Services (SSRS) (partner built), Mixpanel (partner built), Mode, Omni (partner built), Qlik Sense Cloud, Qlik Sense Enterprise (Windows), Redash, Sigma, Sisense, Tableau, ThoughtSpot, Workday Prism Analytics - **CRM** (1): Salesforce - **Data Governance** (2): AWS SageMaker Unified Studio, Google Knowledge Catalog - **Data Lakehouses** (2): Dremio, Iceberg - **Data Quality & Observability** (8): Anomalo, Ataccama (partner built), Bigeye (partner built), Elementary Cloud, Monte Carlo, Qualytics (partner built), Soda, Telmai (partner built) - **Data Warehouses** (6): Amazon Redshift, Databricks, Google BigQuery, Microsoft Azure Synapse Analytics, SAP Datasphere, Snowflake - **Databases** (27): AlloyDB for PostgreSQL, Amazon Athena, Amazon DocumentDB, Amazon DynamoDB, ClickHouse, Cloud SQL for PostgreSQL, Cloudera Impala, CrateDB, DataStax Enterprise, Hive, IBM Db2 for LUW, IBM Db2 for z/OS, Microsoft Azure Cosmos DB, Microsoft Azure Cosmos DB for NoSQL, Microsoft SQL Server, MongoDB (self-managed), MongoDB Atlas, MySQL, On-Premises Databases, Oracle, PostgreSQL, PrestoSQL, SAP ASE, SAP HANA, Starburst Enterprise, Teradata, Trino - **ERP** (4): NetSuite, SAP BW/4HANA, SAP ECC, SAP S/4HANA - **ETL Tools** (12): AWS Glue, Alteryx, Coalesce, Fivetran, Hightouch, Informatica CDI, Informatica PowerCenter, Matillion ETL, Microsoft Azure Data Factory, Microsoft SQL Server Integration Services (SSIS), Talend, dbt - **Event/Messaging** (7): Aiven Kafka, Amazon MSK, Apache Kafka, Confluent Kafka, Confluent Schema Registry, Microsoft Azure Event Hubs, Redpanda Kafka - **Knowledge Management** (1): Glean - **Orchestration & Workflow** (10): Amazon MWAA OpenLineage, Amazon SageMaker, Apache Airflow OpenLineage, Apache Flink OpenLineage, Apache Spark OpenLineage, Astronomer OpenLineage, Dagster, Generic OpenLineage, Google Cloud Composer OpenLineage, Google Dataflow - **Privacy & Security** (4): ALTR (partner built), BigID, Cyera (partner built), Immuta (partner built) - **Semantic Layer** (1): Cube (partner built) - **Storage** (2): Amazon S3, Google Cloud Storage Can't find a connector? Anybody can build a connector in days using Atlan's App SDK. [Get in touch](https://atlan.com/forms/talk-to-sales-contact/). ## Leading AI teams use Atlan to connect context Customer video testimonials: Sridher Arumugham (DigiKey: Context Readiness), Kiran Panja (CME Group: Context at Speed), Andrew Reiskind (Mastercard: Context by Design), Mauro Flores (Virgin Media O2: Context for All). ## Build your own connectors and apps on Atlan The [Atlan App Framework](https://atlan.com/app-framework/) makes your Context Layer fully extensible. Any developer, partner, or customer can build a connector in days using the same infrastructure that powers our native connectors. - **Standardized APIs:** access context, lineage, and governance. - **Runtime environments:** run app logic securely and reliably at scale. - **Developer tooling:** accelerate builds with SDKs, CLI tools, and sandboxes. - **UI extension points:** embed custom experiences directly inside Atlan. - **Reusable components:** skip boilerplate with prebuilt modules for faster delivery. ## Industry recognition - **Forrester Customer Favorite, The Forrester Wave: Data Governance Solutions, Q3 2025.** "Users consistently praise Atlan's ease of use, flexibility, and responsiveness. They highlight its intuitive UI, strong lineage and smart search capabilities, and seamless integration across the data stack. Atlan is a Customer Favorite in this evaluation." [Read the Forrester report](https://atlan.com/know/forrester-wave-data-governance-2025/) - **Leader in the 2026 Gartner Magic Quadrant for Data & Analytics Governance Platforms** (Visionary to Leader in one year). "Leveraging the metadata lakehouse, the Atlan App Framework provides a structured toolkit and a marketplace to help developers, customers, and partners build, deploy, and share a wide range of applications, including custom connectors, data quality apps, and governance agents." [Read the Gartner D&A report](https://atlan.com/gartner-magic-quadrant-data-governance-2026/) - **Leader in the 2025 Gartner Magic Quadrant for Metadata Management Solutions** (#1 for enabling modern data architectures). "Atlan's Metadata Lakehouse forms the core foundation, built on an open and highly performant architecture. It is designed to be Iceberg native and includes a knowledge graph and event stream engine. Its core components also include a knowledge graph for business domains and vector storage & analytics, which is purpose-built for AI." [Read the Gartner MMS report](https://atlan.com/gartner-magic-quadrant-metadata-management-solutions-2025/) ## Frequently asked questions ### What types of connectors does Atlan support? Atlan supports native connectors and integrations across your entire data estate: data warehouses (Snowflake, BigQuery, Redshift, Databricks), databases (PostgreSQL, MySQL, Oracle, SQL Server), BI tools (Tableau, Power BI, Looker, Sigma), ETL pipelines (dbt, Fivetran, Matillion), orchestrators (Airflow, Dagster), data quality tools (Monte Carlo, Anomalo), and more. ### How long does it take to connect a data source? Most connectors are live within minutes. You authenticate once, via OAuth or API credentials, configure what to extract and on what schedule, and Atlan begins pulling context and lineage automatically. No engineering lift, no ongoing maintenance. Incremental updates keep your context current as your stack evolves. ### Does Atlan support custom or homegrown connectors? Yes. The Atlan App Framework lets your team, partners, or system integrators build custom connectors for niche, legacy, or homegrown systems using the open-source Application SDK. Custom connectors publish to your Atlan workspace exactly like native ones: same context model, same lineage graph, same access by AI agents. ### What context does Atlan extract from connectors? Atlan extracts structural context (databases, schemas, tables, views, columns with types and nullability), relationship-level lineage (upstream and downstream asset dependencies), operational context (row counts, last-modified timestamps, creation history), and quality signals where your quality tools are connected (Monte Carlo, Anomalo, Bigeye, and others). All extracted context flows into the Enterprise Data Graph, the foundation for Context Agents, Data Lineage analysis, and AI agent context delivery. ### How is connector data kept up to date? You configure a sync schedule per connector, from on-demand to daily or weekly batch. Atlan handles incremental updates automatically, so your context always reflects the current state of your stack without any manual effort. Changes in source systems (new tables, schema changes, deleted assets) are picked up on the next scheduled crawl. ### Is my data secure? Does Atlan access the actual data in my systems? No. Atlan only reads context: schema names, table structures, column definitions, lineage relationships, ownership, and timestamps. Your actual data never leaves your systems. Atlan never queries the rows in your tables, never stores data payloads, and never moves data between systems. What gets extracted is the context about your data, not the data itself. ### Can't find the connector you need? Request it directly; the Atlan team ships new native connectors regularly based on customer demand. Or build it yourself using the [App Framework](https://atlan.com/app-framework/) (open-source Python SDK, Apache 2.0 license), the same infrastructure that powers every native connector. Most custom connectors take days, not weeks. [Book a Demo](https://atlan.com/forms/talk-to-sales-contact/) / [Watch a 2-min demo](https://atlan.com/live-demo-series-context-studio-demo-recording/)