Nasdaq consolidated enterprise and market data on Databricks to improve governance, speed product development and support AI ...

At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification ...

Microsoft has launched a database management tool it promises will help users manage multiple databases sharing a single SQL engine. With the vendor's Fabric data platform, Database Hub promises a ...

Valuation Target: Databricks is seeking to raise funds at a valuation between $165 billion and $175 billion, significantly higher than recent levels. Growth Drivers: AI products, SQL expansion, and ...

Choosing the right data platform is critical for the modern enterprise. These platforms not only store and protect enterprise data, but also serve as analytics engines that source insights for pivotal ...

Managing a modern enterprise data landscape in 2026 is a lot like running a high-speed, global railway network. You have massive freight trains of legacy data leaving on-premise servers in Mumbai, ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026. The data landscape is shifting faster than most organizations can track. The ...

Quick Summary Planning a smooth and risk-free transition between systems or platforms? Explore the 7 best data migration tools for enterprises in 2026 that help move large volumes of data securely, ...

Leverage Databricks' Data Intelligence Platform to enhance UPL's agricultural innovation and decision-making. Utilize AI and machine learning for effective crop management and pest control through UPL ...

Cloud analytics platforms in 2025 are AI-native, enabling faster insights through automation, natural language queries, and embedded intelligence. Market leaders like Snowflake, Databricks, and Google ...

The new lakehouse offering marks a significant change in Oracle’s strategy, with the vendor moving from a single-cloud model to recognizing enterprises’ need for flexibility across platforms, analysts ...

Data lakes are essential parts of AI infrastructure, allowing companies to manage and store data on a scale necessary to fuel data-intensive AI models This week's list shines a light on the companies ...