#databricks

#databricks

The collaboration between Databricks and Anthropic aims to accelerate the development of domain-specific AI agents.

Databricks and Anthropic's partnership is set to advance domain-specific AI agents through enhanced data intelligence.

Databricks' acquisition of Tabular signals Iceberg's dominance in data table formats amid competition.

Databricks raised $10 billion in Series J funding, confirming its $62 billion valuation.

Hydrolix's new Apache Spark connector enhances data analysis for Databricks users by enabling fast, cost-effective insights with no sampling limits.

Databricks collaborates on the Iceberg table format, enhancing interoperability with its own Delta Lake format, aiming to optimize analytics performance.

Integrating data processing and collaboration is crucial for effective data-driven decision-making.

Databricks Data Intelligence Platform offers a unified solution to manage modern data complexities.

SAP's Business Suite is relaunched as a modular cloud offering, providing users with integrated analytics across business processes.

Databricks' acquisition of BladeBridge accelerates migration of enterprise data warehouses to Databricks SQL, facilitating advanced data management.

Databricks acquires BladeBridge to streamline migration for enterprises transitioning to its lakehouse platform.

Databricks raised $10 billion, signifying investor confidence in AI and positioning for an IPO.

Databricks raised $10 billion in Series J funding, boosting its valuation to $62 billion, highlighting the urgent demand for AI infrastructure.

Databricks raised $10 billion in Series J funding to enhance its AI initiatives and expand globally.

Databricks raises $10 billion, boosting valuation to $62 billion, signaling significant growth and anticipation for an IPO.

Market conditions impacted Databricks' IPO timing; they decided to raise funds amid a bubble to provide employee liquidity.

Databricks secures $10B in Series J funding to enhance AI product development and international expansion, aiming for positive cash flow and growth.

Databricks is nearing a $9.5 billion funding round at a $60 billion valuation, outpacing previous records.

Databricks raised a record-breaking $10 billion in funding, reflecting immense investor interest in the growing demand for data-centric technologies.

Databricks and AWS collaboration accelerates generative AI model development, enhancing capabilities in large language models through AWS infrastructure.

Integration of AWS Trainium chips with Mosaic AI improves performance while allowing customers to leverage their private data for model training.

Databricks offers a new API for efficiently generating synthetic question-and-answer datasets to enhance AI applications using large language models.

Databricks and AWS are enhancing their partnership to advance GenAI, utilizing AWS Trainium processors for developing LLMs on the Mosaic AI platform.

Databricks introduced LakeFlow as its internal data engineering solution to handle data ingestion, transformation, and orchestration, reducing the reliance on third-party tools.

Chaos Genius offers a solution to optimize data engineering for cost and performance.

Databricks' acquisition of Tabular for $1 billion underscores the rising importance of the Apache Iceberg table format in data engineering.

Databricks acquired Tabular, aiming to enhance data management and unify community efforts.

Databricks is acquiring Tabular, a data startup focused on open source lakehouse formats, to enhance interoperability and provide a unified data solution.

Databricks purchased Tabular for $1 billion to leverage their expertise in the data table format Apache Iceberg.