Building Stateful Agents on Lakebase
TL;DR — Production agents need more than conversation history. They must survive restarts, recall decisions from earlier sessions, and work with current business data. In our Supply Chain Planner Copi...
Blog Articles
Moving Beyond Manual Changes: A Guide to Shipping Lakebase Schema with Bundles
Moving Beyond Manual Changes: A Guide to Shipping Lakebase Schema with Bundles Lakebase is a Databricks fully managed PostgreSQL database for online transaction processing (OLTP). Declarative Automati...
Building a GraphQL API on Lakebase
Summary One API, every client: Instead of building separate endpoints for each app or partner, GraphQL lets every consumer ask for exactly the data it needs — but typically requires a lot of backend p...
Lakebase as the Operational Data Store: Bringing Back the Tactical Data Layer
Summary Why systems catering to tactical, operational decision-making need to be different from traditional OLTP and OLAPHow a Lakebase-centric architecture for ODS solves this needWhat business use-c...
Lakebase Branching Meets Docker: The Migration Safety Net I Wish I Had Years Ago
Lakebase Branching Meets Docker: The Migration Safety Net I Wish I Had Years Ago Before I became a Solutions Architect at Databricks, I was a backend software engineer and for a few years of my past l...
How to perform Semantic Search in Databricks Lakebase
Introduction In today’s AI-native world, applications no longer rely on exact keyword matches—they understand meaning. This shift is powered by embeddings: numerical representations of text that captu...
Operationalize Your Lakehouse: Lakebase for Low-Latency Apps & APIs
Operationalize Your Lakehouse: Lakebase for Low-Latency Apps & APIs The Databricks Data Intelligence Platform unifies data, AI, and governance so organizations can put all of their data to work. Until...
[PARTNER] Databricks Lakebase Costing: Compute, Storage & Reusable AI/BI Dashboard
IntroductionWhy this matters:Sneak-Peak inside:Prerequisites:Lakebase Pricing refresh:Reusable SQL Views:1. Creating a home for cost:2. Usage by day / user / database_instance (comp_qty logic):3. Effe...
[PARTNER BLOG] Benchmarking Databricks Lakebase and AWS Aurora (PostgreSQL engine) using pgbench
A Quick Word Before We Dive InWhy Benchmark MattersAbout the Benchmarking Tool - pgbenchBenchmarkingRepository & ReproducibilityEnvironmentHardware / Configuration:ExecutionsDatabricks Lakebase - 240s...
[Partner Blog] Introduction to Databricks Lakebase: Unified OLTP+OLAP Engine for AI-Native Workloads
IntroductionMotivationWhat is Databricks Lakebase?Key FeaturesWorking with Lakebase1. Prerequisites:2. Enabling Lakebase:3.Creating a Lakebase Database:4. Authentication:5. Authorisation:6. Using Lake...
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- venkat-raghavan on: Operationalize Your Lakehouse: Lakebase for Low-La...
- gjsau on: [PARTNER] Databricks Lakebase Costing: Compute, St...
- Hari-db on: [PARTNER BLOG] Benchmarking Databricks Lakebase an...
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Louis_Frolio on: [Partner Blog] Introduction to Databricks Lakebase...