Alation Enterprise Data Catalog Connectors

Broad & Deep Connectivity

Alation's breadth and depth of connectivity to data sources powers valuable insights and intelligence across the enterprise.

Connect with Alation

Enjoy a single-pane-of-glass view across your entire data ecosystem. Alation has 100+ connectors for a wide variety of data sources. Develop connectors yourself or with our development partners on less common sources using the Open Connector Framework SDK.

Understand your data and how it's used

Data lineage

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View end-to-end lineage to understand data flows, relationships, health, and impact analysis. Alation connectors process SQL queries and scripts to extract this vital lineage information for those who need it.

Run queries

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Run SQL queries against a wide range of connected data source types – including RDBMS, NoSQL, and application sources. Best of all, run these queries right from Compose, Alation’s built-in Intelligent SQL Editor.

Authentication

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Authentication is a foundational security pillar that verifies users' identity. Alation connectors let you match the source and organization-specific authentication methods you’ve already standardized, including SSO.

Metadata Extraction

Metadata is the foundation of a data catalog. It offers context, making it easier for you to understand and collaborate with data at scale. Metadata extraction tracks changes, ensuring users always have a current and complete view of data across an organization's ecosystem.

Query Log Processing

Query logs are a rich source of information about who is using data and how. Alation analyzes these logs to spot usage patterns unique to your organization to uncover popular data assets and top users. Utilize these insights to prioritize which assets to work on first and who can help explain them.

Profiling

Assess high-level data quality quickly with data profiling. Alation connectors gather helpful column-level profiling statistics – including minimum, maximum, frequency distribution, and null values. Data analysts and engineers can use these details to create data quality rules.

Sampling

Sometimes, a glimpse of the data is all you need to start using it. With sampling, a subset of the data is extracted and presented to users – offering a quick view into a table's contents and usefulness.

VillageCare logo

There’s no way we can manage our members or their complex conditions — or help them get the best outcomes — if we can’t see and connect the data from all those different parts of the healthcare ecosystem.

Ku‛uipo Curry

Director of IT Data Management, VillageCare

Find out how Alation can help your teams use data with confidence

Get answers to your questions. Explore pricing. And get a product demo with an Alation expert.