Databricks welcomes BladeBridge, a confirmed supplier of AI-powered migration options for enterprise knowledge warehouses. Collectively, Databricks and BladeBridge will assist enterprises speed up the work required emigrate legacy knowledge warehouses like Oracle, SQL Server, Snowflake, and Redshift to Databricks SQL (DBSQL), the information warehouse constructed on Databricks’ category-defining lakehouse. BladeBridge will present prospects with clear perception into the scope of conversion, configurable code transpiling, LLM-powered conversion, and simple validation of migrated methods.
5 years in the past, we created Databricks SQL to appreciate our imaginative and prescient of a lakehouse structure, bringing the scalability and effectivity of knowledge lakes to knowledge warehousing. Since that point, the trade has embraced the lakehouse as the information structure of the longer term, with Databricks SQL as its clear chief. Already, over 10,000 enterprises across the globe have adopted Databricks SQL to ship record-setting efficiency, 9x higher effectivity, and ease that legacy options couldn’t present. We additionally proceed to combine AI all through Databricks SQL to ship extra natural-language capabilities and predictive optimizations. Immediately, Databricks SQL powers instruments like Energy BI, Tableau and dbt, and has cemented its place because the fastest-growing product in Databricks’ historical past with a $600M income run charge.
Analysts additionally acknowledge Databricks as a market chief. For instance, Forrester has acknowledged Databricks as a Chief with the best scores in each present providing and technique classes in The Forrester Wave™: Knowledge Lakehouses, Q2 2024.
Already, BladeBridge is a key know-how supplier to system integrators like Accenture, Capgemini, Celebal Applied sciences, and Tredence, with confirmed deployments throughout tons of of shoppers. And now, prospects in all places will be capable to considerably cut back price and decrease danger when modernizing their knowledge infrastructure away from proprietary, costly, and siloed platforms which have outlined the historical past of knowledge warehousing.
What’s BladeBridge?
BladeBridge gives an AI-enhanced strategy emigrate over 20 legacy knowledge warehouses and ETL instruments – together with Teradata, Oracle, Snowflake, SQL Server, Amazon Redshift, Azure Synapse Analytics, and Hive – greater than 50% sooner than conventional approaches.
BladeBridge saves prospects months of labor by mechanically constructing a abstract of all ETL and database property in only a few hours, delivering a full report of the migration’s scope and complexity. Moreover, automated question testing between the legacy system and Databricks SQL identifies discrepancies early for fast remediation within the conversion course of.
Subsequent, conversion between methods makes use of a configuration-driven strategy that simply accounts for variations between the legacy structure and Databricks SQL. Importantly, the strategy ensures that prospects retain full possession of the conversion patterns, so configurations can all the time be up to date if new necessities emerge at later phases of the migration.
BladeBridge’s AI-driven conversions account for all legacy ETL, SQL and different code. When unit assessments fail for any part, the configuration recordsdata are merely tailored to resolve the errors. This gives a quick, iterative course of that enables the overwhelming majority of conversions to be dealt with with configuration directions alone.
Confirmed enterprise success with fast and environment friendly migrations to Databricks
Thomas Worldwide’s pricey Snowflake setting couldn’t deal with real-time knowledge and solely supported SQL. To perform their knowledge technique ambitions, they required a scalable setting that allowed knowledge scientists to leverage their abilities in Python and R. Databricks offered Thomas with a unified, scalable structure for knowledge, analytics, and AI. Now, knowledge scientists are innovating new options from buyer segmentation fashions and prototyping predictive analytics to fuzzy matching algorithms and social community evaluation with a 40% enhance in growth productiveness in comparison with the legacy Snowflake platform.
One other buyer, VGZ, had a legacy cloud knowledge warehouse that created bottlenecks, slowing product timelines and growing prices. Useful resource sharing amongst groups led to inefficiencies, whereas outdated governance frameworks difficult safety. These limitations made innovating and scaling successfully in a data-driven panorama troublesome. Databricks SQL streamlined knowledge entry and reporting for VGZ, permitting groups to ship insights sooner and higher meet buyer wants. Having a unified platform has eradicated bottlenecks and improved collaboration, instantly supporting faster, data-driven selections, resulting in a 30% enchancment in time to market for brand spanking new knowledge merchandise.
Accelerating your knowledge warehouse migrations
Within the coming weeks, we intend to make BladeBridge freely out there to each group and associate.
Moreover, 40+ system integration companions, together with Accenture, Capgemini, Celebal Applied sciences, and Tredence, have already got BladeBridge experience, and Databricks will quickly scale BladeBridge experience to the hundreds of different system integrators within the Databricks associate ecosystem.
Learn extra concerning the Databricks strategy to migrations on the Migrations web page. It’s also possible to contact our Skilled Companies group for a free migration evaluation.
In case you are a Databricks associate, you’ll be able to entry BladeBridge migration coaching and enablement within the Companion Academy.