WANdisco + Databricks

Accelerating Modern Spark-Based Cloud Analytics

Fastest time to business insights... start migrating in minutes with WANdisco Data Migrator

Making data and metadata available for direct use as Delta Lake content in Databricks is as simple as three steps:

Step 1: Define your target cloud storage and Databricks system
Step 2: Select the Hadoop data you want to migrate
Step 3: Choose the Hive databases and tables to migrate

That’s it. Your data and metadata will immediately begin to migrate to Databricks.

“Rightfully so, organizations want to migrate from legacy on-premise infrastructure to reliable data lakes at scale, which is not only made possible, but simplified with WANdisco and Azure Databricks.”
Michael Hoff, VP of Business Development and Partners, Databricks

WANdisco is a featured Databricks Migration Partner.

Together WANdisco and Databricks enable you to:


Automate your Hadoop data and Hive metadata migration with zero downtime and zero business disruption


Modernize your data architecture with a unified analytics platform that ensures data reliability and consistency of the data.

Automate data and metadata migration to Databricks

WANdisco Data Migrator is a safe and reliable cloud migration solution that automates the migration of Hadoop data and Hive metadata to the cloud. Data Migrator provides two key Databricks-specific functionalities:

  1. Make Apache Hive metadata available directly in Databricks workspaces using live migration so that ongoing changes to source metadata are reflected immediately in the Databricks target.

  2. Transform the on-premises data formats used in Hadoop and Hive to the Databricks-preferred Delta Lake form, so that users can take full advantage of the features that are unique to the combination of Databricks and Delta Lake.

Hadoop Data and Hive Metadata Migration to Databricks
Delta Lake Unified Platform

Modernize your data architecture with a unified analytics platform

Databricks provides a Unified Analytics Platform powered by Apache Spark for data science teams to collaborate with data engineering and lines of business to build data products. You can achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. Databricks also makes it easier for you to focus on your data rather than hardware by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership.

“WANdisco moves petabytes of data without disruption or risk of losing data midflight. No other vendor can do this.”
Merv Adrian, Research Vice President for data and analytics. quotemark

Customer Stories

How AMD uses WANdisco Data Migrator to protect critical business data against disaster

Read case study

Daimler moved data back and forth for 9 months before sunsetting the on-prem Hadoop dataset

Watch Video

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