11 stories · since September 30, 2026
REGISTER and UNREGISTER provide a standard method to safely transfer a table's catalog management without copying data. Open table formats are now easily transferable between catalogs when stored in customer-owned buckets.
Databricks Genie One is a data-smart AI coworker for asset management finance that grounds every answer in a governed business ontology, with backend agents handling NAV reconciliation and fund data ingestion.
• The first few Genie Agents you build determine whether adoption scales or stalls, so choosing the right agents to start with is critical • Use a five criteria rubric: impact, demand, data readiness, scope, and governance to rank candidate workflows in minutes.
A complete reference architecture for building a multi-stage recommendation and ranking engine on Databricks — from clickstream ingestion to real-time personalized serving — replacing fragmented ML infrastructure with a single unified platform.
• Give finance professionals an AI coworker grounded in their business context to accelerate decision-making • Enable teams to analyze performance, model scenarios, investigate variances, and speed up forecasting and financial reporting • Apply consistent guardrails across data access, actions, and AI usage, so every...
Traditional database recovery is painfully slow and scales poorly with size, often causing hours of downtime while provisioning new compute, downloading large snapshots and replaying log files.
Agentic marketing uses AI agents grounded in trusted customer, business, and decision context to recommend the next best action for each customer, within guardrails that marketers set.
Databricks now includes a family of native, built-in IP functions for parsing, validating, canonicalizing, and joining IPv4 and IPv6 addresses and CIDR blocks - no UDFs, no regex, no brittle bitwise math.
ai_decide is a new Databricks AI Function that makes fast decisions directly on your data. It takes unstructured text and returns structured decisions in a fraction of a second.
Lakebase is cost-efficient by design because its separated storage and compute architecture lets branching, read replicas, and high availability share one storage layer, while serverless autoscaling and scale-to-zero mean you pay only for the compute you actually use.
As agentic applications become more autonomous, enterprises need shared infrastructure for context, model, and tool access; governance; evaluation; and observability, rather than rebuilding these capabilities for every agent.