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The preview feature aims to simplify real-time analytics on transactional data, reducing ETL complexity and boosting performance.
Stream processing engine allows users to define and manage AI models in Java, Python, and Flink SQL and invoke them in real time within Flink SQL.
Informatica’s latest release brings self-service tuning, LLM integration, and model governance to the forefront of enterprise data management.
Now in public preview, Snowpark Connect promises to reduce latency and complexity by moving analytics workloads where the data is.
Databases will soon be capable of monitoring their own health, identifying bottlenecks, adjusting configurations, and even rerouting traffic in real time.
The humble database offers the key to giving AI context and adaptation, accessing data beyond its training cutoff.
With native support for Oracle Databases, the MCP server will allow developers to build AI agents that can autonomously query, reason, and generate insights without custom integration layers.
Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight.
Quality shifted left. Security shifted left. Data is next. When data contracts join the CI gate, teams finally ship faster and sleep better.
Qdrant Cloud Inference simplifies building applications with multimodal search, retrieval-augmented generation, and hybrid search, Qdrant said.