Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

Spark creator bags computing gong for making big data a little bit smaller

When Zaharia started work on Spark around 2010, analyzing "big data" generally meant using MapReduce, the Java-based ...
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Databricks launches new AI app and agent database to challenge cloud titans

Databricks launched Lakebase today, a new database designed for enterprises and developers to build data applications and artificial intelligence agents on a single multi-cloud platform. Lakebase is ...
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Kumo Launches KumoRFM-2, the First Foundation Model to Outperform Machine Learning on Enterprise Data, Scaling to 500 Billion Rows

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

EDB Postgres(R) AI Delivers Superior Predictability vs. Cloud Data Warehouses in High-Concurrency Benchmark, Unveils Q1 Platform Updates to Power the Agentic AI Era

Independent benchmark by McKnight Consulting Group reveals EDB Postgres AI for WarehousePG delivers up to 58% cost savings and more consistent concurrent performance, while new platform features ...

Snowflake: Cheap Enough To Watch, Not Yet Cheap Enough To Buy

Snowflake faces structural issues, hyperscaler rent, geopolitical data localization, and self-inflicted pricing pressure from ...