Databricks open-sources Omnigent, a meta-harness to combine, control, and share agents across Claude Code, Codex, Cursor, and more.
“CDC is brittle enough to joke that it means “continuous data corruption,””
data-infrastructure
14 tracked signals on data-infrastructure.
Databricks unveils Lakehouse//RT and Reyden to enable millisecond-latency serving workloads without copying data out of the Lakehouse.
“the warehouses or the Lakehouses hit a wall at about a second”
Databricks launches Lakehouse RT, a real-time warehouse powered by the Raiden engine running directly on the lake.
“If you have a separate serving stack, test it out and you might be able to collapse the two platforms into one.”
Databricks introduces NEAREST BY Join syntax for scalable vector search in runtime
Databricks introduces a native FILE column type for storing multimodal data in tables
Enterprise AI agents waste effort rediscovering data sources; a shared ontology-based semantic layer fixes this.
“every single time a team has to build an agent, they have to figure out from scratch where the data that they require for that agent to operate, where it sits”
AI agents with legitimate permissions create a new high-velocity enterprise security threat category
“the same type of threat is coming from non-human actors, agents that essentially have legitimate access to the environment with legitimate permissions”
Encord is building the data layer for physical AI, which represents the next platform shift
“it's better to not do any of that and just to scale the the system. Just add more data, more compute into it.”
A vendor combines AI agent swarms with a high-scale data platform to prioritize enterprise security vulnerabilities.
“agents are actually coloring the graph over time to create more and more interesting lower high confidence edges”
Healthcare AI adoption is hindered by noise and lack of clear organizational foundations
Databricks adds full-text search indexes to accelerate queries on very large tables.
Databricks introduces delegated IAM permissions to simplify Amazon S3 connectivity
Indra consolidated fragmented EV charging data onto Databricks to reduce operational complexity.
“When data grows faster than the systems around it, complexity becomes the default.”
Enterprise risk management requires real-time data infrastructure to remain effective.