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Databricks Acquires BladeBridge Technology and Talent to Accelerate Data Warehouse Migrations USA - English India - English
S For Story/10649794
SAN FRANCISCO, Feb. 4, 2025 ~ Databricks, a leading Data and AI company, has announced the addition of BladeBridge to its team. BladeBridge is a renowned provider of AI-powered solutions for enterprise data warehouse migrations. This collaboration aims to streamline the code assessment and conversion process necessary for organizations to migrate their data warehouses to Databricks SQL from sources like Snowflake and Teradata.
The partnership between Databricks and BladeBridge will utilize a proven LLM-driven approach to help customers seamlessly transition to the Databricks Data Intelligence Platform. This enhanced migration process will enable organizations to take advantage of Databricks SQL's industry-leading price-performance, efficiency, and AI innovations.
Databricks SQL has seen significant growth in the past year, with revenue increasing by over 150% and surpassing $600 million run rate. This growth can be attributed to its ability to auto-optimize workloads using AI and provide intelligent experiences that allow anyone to gain insights from their data without requiring technical expertise.
BladeBridge has become one of the most popular automation solutions for migrating from existing data warehouses such as Snowflake, Redshift, and Teradata to Databricks SQL. With this partnership, organizations migrating to Databricks will have access to BladeBridge's AI-driven solution that automates code analysis and conversion across more than 20 enterprise data warehouses and ETL tools. This will significantly reduce manual effort and ensure consistent, high-quality code output.
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The transaction aligns with Databricks' strategy of helping enterprises achieve data intelligence across their entire data estate quickly. BladeBridge is a key technology partner for system integrators like Accenture, Capgemini, Celebal Tech, Ness Digital, and Tredence. It provides customers with clear insight into the scope of conversion, LLM-powered code refactoring, and easy validation of migrated systems. To date, BladeBridge has successfully supported hundreds of customers in their Databricks SQL migration journeys.
Ali Ghodsi, Co-founder and CEO of Databricks, stated, "Databricks SQL is the fastest-growing data warehouse on the market. Over ten thousand organizations have chosen Databricks SQL thanks to its price performance and AI innovations. As more and more companies choose Databricks as the foundation for an open, flexible data architecture, we want to make it easier than ever to move from legacy data warehouses to the Data Intelligence Platform."
Simon Eligulashvili, Co-founder and Executive Vice President of BladeBridge, expressed his excitement about joining forces with Databricks. He said, "At BladeBridge, we set out to solve frustrating challenges for companies looking to modernize their data stack, and today we've helped hundreds of organizations successfully migrate to cloud data platforms. We are thrilled to join the Databricks team to continue our mission - to help companies reach their data modernization goals - faster and at a far greater scale."
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Ranjit Tinaikar, CEO at Ness Digital, also shared his thoughts on this partnership. "As a trusted data engineering specialist, we understand that meeting customers' aggressive project timelines is a key success metric," he said. "Over the years, we have built a strong partnership with BladeBridge, collaborating on over a hundred enterprise data warehouse migrations. We look forward to deepening this relationship with Databricks as a strategic partner and delivering many more successful projects in the future."
This announcement comes after Databricks' recent $15 billion financing round that values the company at $62 billion. The company expects to cross $3 billion revenue run rate and be free cash flow positive in the fourth quarter ending January 31, 2025.
In conclusion, this collaboration between Databricks and BladeBridge will provide organizations with an efficient and cost-effective solution for migrating their data warehouses to Databricks SQL. With its industry-leading performance and AI capabilities, Databricks SQL is poised to continue its growth and help enterprises achieve data intelligence across their entire data estate.
The partnership between Databricks and BladeBridge will utilize a proven LLM-driven approach to help customers seamlessly transition to the Databricks Data Intelligence Platform. This enhanced migration process will enable organizations to take advantage of Databricks SQL's industry-leading price-performance, efficiency, and AI innovations.
Databricks SQL has seen significant growth in the past year, with revenue increasing by over 150% and surpassing $600 million run rate. This growth can be attributed to its ability to auto-optimize workloads using AI and provide intelligent experiences that allow anyone to gain insights from their data without requiring technical expertise.
BladeBridge has become one of the most popular automation solutions for migrating from existing data warehouses such as Snowflake, Redshift, and Teradata to Databricks SQL. With this partnership, organizations migrating to Databricks will have access to BladeBridge's AI-driven solution that automates code analysis and conversion across more than 20 enterprise data warehouses and ETL tools. This will significantly reduce manual effort and ensure consistent, high-quality code output.
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The transaction aligns with Databricks' strategy of helping enterprises achieve data intelligence across their entire data estate quickly. BladeBridge is a key technology partner for system integrators like Accenture, Capgemini, Celebal Tech, Ness Digital, and Tredence. It provides customers with clear insight into the scope of conversion, LLM-powered code refactoring, and easy validation of migrated systems. To date, BladeBridge has successfully supported hundreds of customers in their Databricks SQL migration journeys.
Ali Ghodsi, Co-founder and CEO of Databricks, stated, "Databricks SQL is the fastest-growing data warehouse on the market. Over ten thousand organizations have chosen Databricks SQL thanks to its price performance and AI innovations. As more and more companies choose Databricks as the foundation for an open, flexible data architecture, we want to make it easier than ever to move from legacy data warehouses to the Data Intelligence Platform."
Simon Eligulashvili, Co-founder and Executive Vice President of BladeBridge, expressed his excitement about joining forces with Databricks. He said, "At BladeBridge, we set out to solve frustrating challenges for companies looking to modernize their data stack, and today we've helped hundreds of organizations successfully migrate to cloud data platforms. We are thrilled to join the Databricks team to continue our mission - to help companies reach their data modernization goals - faster and at a far greater scale."
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Ranjit Tinaikar, CEO at Ness Digital, also shared his thoughts on this partnership. "As a trusted data engineering specialist, we understand that meeting customers' aggressive project timelines is a key success metric," he said. "Over the years, we have built a strong partnership with BladeBridge, collaborating on over a hundred enterprise data warehouse migrations. We look forward to deepening this relationship with Databricks as a strategic partner and delivering many more successful projects in the future."
This announcement comes after Databricks' recent $15 billion financing round that values the company at $62 billion. The company expects to cross $3 billion revenue run rate and be free cash flow positive in the fourth quarter ending January 31, 2025.
In conclusion, this collaboration between Databricks and BladeBridge will provide organizations with an efficient and cost-effective solution for migrating their data warehouses to Databricks SQL. With its industry-leading performance and AI capabilities, Databricks SQL is poised to continue its growth and help enterprises achieve data intelligence across their entire data estate.
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