Cirata unlocks GenAI with Databricks
Written by Paul Scott-Murphy, CTO, Cirata
To succeed in the development of generative AI applications, businesses must use their unique data assets more efficiently and effectively. Cirata and Databricks are partnering to help users more quickly build and deploy advanced GenAI workflows using Databricks. With the general availability of Data Migrator 3.0, Cirata provides the most advanced solution to migrate data from on-premises data centers to the Databricks Data Intelligence Platform on AWS, Azure and Google.
- provides continuous, automatic data movement from on-premises data centers to cloud storage, keeping data current and available to Databricks,
- supports migration into Databricks Unity Catalog, enabling immediate use of the metadata that describes data moved from on-premises data centers to Databricks, and
- enables end-users to gain immediate insights from their data, bringing those data assets to generative AI applications, optimizing the time, cost and efficiency of using Databricks for existing large-scale data assets.
Data availability
Cirata and Databricks are reshaping the data management landscape to deliver data for enterprise AI applications. With Databricks rapidly advancing its GenAI capabilities, the need for data that users can access, manage, and build upon is critical. Cirata Data Migrator provides data migration for existing and new data across all major cloud platforms without application down time or disruption. Accelerating data availability to the Databricks Data Intelligence Platform is a core value driver for businesses looking to take advantage of the advanced AI systems in Databricks. This partnership empowers enterprises to tap into the full potential of their data, making it available to Databricks and keeping it current to improve efficiency and cost.
Unity Catalog with Data Migrator
In recent releases, Cirata has provided additional metadata migration capabilities to migrate into Databricks Unity Catalog, the unified governance framework for managing data across various domains. As Databricks continue their commitment to open ecosystems, providing open catalog standards for data and AI with no vendor lock-in, Cirata follows suit as a dedicated partner to ensure data and metadata can be made available to any Databricks environment. By combining Cirata Data Migrator and the Databricks Lakehouse Architecture, this drastically simplifies all aspects of data migration and availability so data engineers can build reliable data pipelines for enterprise AI.
Democratize data with Data Migrator
With Data Migrator, businesses can drive down cost, gain efficiency, and eliminate complexity to develop generative AI applications and democratize their data in Databricks. Along with Unity Catalog, Data Migrator also delivers metadata for Databrick’s native format, Delta tables. Existing tables in ORC, parquet, AVRO formats can be migrated efficiently to Databricks Delta tables automatically. With table format transformation, Cirata Data Migrator addresses the gap in data delivery and interoperability to take advantage of Databricks Data Intelligence Platform to use all your data.
Cirata Data Migrator 3.0 is now generally available with full support for Databricks, including Unity Catalog and Delta table transformation, with licensing models to suit subscription, pay-as-you-go, or pre-paid data volumes. Cirata provides comprehensive support options, helping to power data migration, disaster recovery, interoperability and availability requirements for many of the world’s largest financial institutions, automotive companies, telecommunications providers and more. Learn more at cirata.com.
