Alation Data Intelligence Platform vs Apache Atlas

Alation Data Intelligence Platform brings data context, policies, definitions, and relationships into a shared reference for people, agents, and data applications seeking trusted data. Its Data Catalog uses machine learning to interpret natural-language searches and surface relevant assets, while automated column-level lineage traces relationships from source to destination. ALLIE AI recommends metadata descriptions, and the platform offers agents for documentation, data quality, and data product building. Organizations can create risk and compliance policies through the Data Governance Policy Center. Alation combines metadata with quality metrics and connects to external quality and observability tools through its Open Data Quality Framework. It lists more than 120 connectors, with an SDK for developing additional ones, and provides REST APIs for integrations and bulk transfers of glossaries or documents. Examples include Snowflake, Tableau, AWS Glue, Databricks, MongoDB, and Salesforce; data can also be brought into Excel, Teams, and Slack. Deployment options include on-premises and multi-cloud environments, including Azure. Pricing is on request: the listed plan uses a pool of consumption units whose size is estimated with Alation.

Apache Atlas is open-source software for managing metadata and governance around data assets. It supports cataloging, classification, governance, and collaboration, with predefined metadata types and tools for defining custom types, entities, and relationships. Teams can create classifications, associate them with multiple entities, and propagate them through data lineage. The interface displays lineage, and REST APIs can access and update it. Metadata search works by type, classification, attribute value, or free text, including through a SQL-like language. Fine-grained access controls apply to metadata entities and classification operations. Integration with Apache Ranger can use classifications for authorization and data masking. Atlas exposes REST endpoints for metadata types, entities, lineage, and discovery; documented integrations include Hive, HBase, Sqoop, Storm, and Kafka. Atlas is server software for self-hosted deployment, built and packaged for an environment with HBase and Solr. It is listed for Linux, web, API, and self-hosted use, at free.