Zeenea x Databricks

At Zeenea, we develop advanced connectors to automatically synchronize metadata between our data discovery platform and all your sources. This native connectivity saves you the tedious and challenging task of manually finding the data you need for a specific business use case that often requires access to scarce technical resources.

Discover and unlock the value from your Databricks assets

Databricks is a unified analytics platform designed to help organizations harness the power of data and AI. Founded by the creators of Apache Spark, Databricks provides a collaborative environment for data scientists, engineers, and analysts to work together on large-scale data processing, machine learning, and real-time analytics tasks.

Synchronize your Databricks data via Zeenea’s connectors

Zeenea has connectors for both Databricks Hive Metastore and Databricks Unity Catalog.
Our solution collects your Databricks datasets and associated Fields, as well as any technical and operational metadata, and other documentation you may have provided at the field table level.

Databricks Hive Metastore

The integration between Databricks Hive Metastore and Zeenea’s connector provides a robust solution for metadata management, enhancing organizational workflows. Databricks Hive Metastore, compatible with Apache Hive, simplifies the creation and administration of tables within the Databricks environment. Zeenea completes this integration by collecting all documentation related to your Hive Metastore data assets.

Zeenea Studio – Databricks Hive Metastore – Dataset   

Databricks Unity Catalog

The integration between Databricks Unity Catalog and Zeenea’s connector offers a comprehensive solution for metadata management. Databricks Unity Catalog serves as a centralized hub for managing various data assets within Databricks, including tables, databases, views, and functions. Zeenea enhances this integration by providing thorough synchronization of metadata associated with each data asset. This includes capturing technical details such as schema information and data types, as well as operational metadata like usage statistics and access controls.

Zeenea Studio – Databricks Unity Catalog –  Dataset  Lineage

Zeenea is compatible with:

• SaaS version of Databricks Hive Metastore ✅
• API Rest versions 2.0 and 2.1 of Databricks Unity Catalog ✅

How does the Databricks integration work in Zeenea?

Easily and quickly configure the Databricks connectors from our platform

1. Create a user with sufficient permissions to establish a connection with Databricks Hive Metastore and/or Databricks Unity Catalog;
2. Download and configure the Zeenea Databricks plugins;
3. Start collecting and inventorying your Databricks data assets in the data catalog!