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.

Alation Enterprise Data Catalog Connectors hub

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.

Snowflake logo

Snowflake on AWS

AWS Redshift logo

AWS Redshift

Tableau logo

Tableau

AWS Glue logo

AWS Glue

Databricks logo

Databricks on Azure

PostgreSQL logo

PostgreSQL (Enterprise)

MongoDB logo

MongoDB

PowerBI logo

PowerBI

AWS S3 logo

AWS S3

Salesforce logo

Salesforce

Confluent Kafka logo

Confluent Kafka

Microsoft SQL logo

SQL Server

Understand your data and how it's used

Data lineage
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Understand how data came to be and how upstream changes impact downstream users. Comprehend essential object relationships and use data with confidence. Alation connectors process SQL queries & scripts to extract this vital lineage information for those who need it.

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Metadata Extraction

Metadata forms the foundation of the 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 all sources.

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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. Share these valuable insights with all data users across the business. Support smarter collective data usage.

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Profiling

Assess data quality quickly with data profiling. Alation connectors gather helpful column-level profiling statistics – including minimum, maximum, frequency distribution, and null values. Surface these details to users within workflows, so they can determine if data is fit for use.

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Sampling

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

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