Striim Expands SQL2Fabric-X to Azure Databricks, Enabling Seamless Real-Time Data Modernization for Databricks Customers Provided by GlobeNewswire Jun 10, 2025, 5:00:41 PM.

Azure Synapse uses a massively parallel processing architecture ideal for enterprise data warehousing, while Databricks leverages Spark’s in-memory processing for real-time analytics and AI ...

Databricks Model Serving offers fully managed, ... Ad hoc-Mitteilungen: Samstag, 21.06.2025 - Börsentäglich über 12.000 News +435 % Beteiligungsrendite durch TAO nach £5 Mio.

Databricks Ventures and Noma Security partner to tackle critical AI inference vulnerabilities with real-time threat analytics, proactive red teaming, and robust governance, helping CISOs confidently ...

Databricks is committed to driving innovation with its Lakehouse Platform and delivering more capabilities that make powerful, real-time machine learning accessible to any organization. This includes ...

Together with Databricks, we’re ensuring businesses can harness the power of real-time data to build sophisticated AI-driven applications for their most critical use cases.” Real-time Data ...

Databricks Brings Real-Time Data Replication In-House With $100M Arcion Acquisition. BySteve McDowell, Contributor. Forbes contributors publish independent expert analyses and insights.

The updates span Microsoft Fabric, Azure Cosmos DB, SQL Server, Power BI, PostgreSQL and integrations with Databricks Inc.’s and SAP SE’s services on the Azure cloud.

The time and resources saved with model serving can instead be used to build better-quality models faster, Databricks noted. Gyuhyeon Sim, CEO at Letsur AI , also noted similar advantages.

MOUNTAIN VIEW, Calif., February 11, 2025--Confluent, Inc. (NASDAQ:CFLT), the data streaming pioneer, and Databricks, the Data and AI company, today announced a major expansion in their partnership ...

Together with Databricks, we’re ensuring businesses can harness the power of real-time data to build sophisticated AI-driven applications for their most critical use cases.” Real-time Data ...