Lakebase in the wild
A curated archive of videos, blogs, and announcements highlighting the success of Databricks Lakebase. To add an entry, open a pull request against the repository.
Branching databases like code: a CI/CD pattern for Lakebase, in production at Glaspoort
How Glaspoort runs a CI/CD pattern on Lakebase by branching every long-lived environment directly from production and treating database migrations as the source of truth, creating ephemeral per-PR branches tested against production-shaped data before changes are promoted.
Enabling Evolutionary Database Development: database branching with Lakebase, continued
Part 2 of the series. Copy-on-write branching restores the original seven evolutionary-database practices as routine and unlocks two new ones — destructive testing and A/B schema prototyping at the database level — all inside the standard CI/CD pipeline without sacrificing rigor or governance.
Enabling Evolutionary Database Development: Database branching with Lakebase, the conclusion
Part 3 of the series. At team scale, tiers become long-running branches, governance is designed once and inherited per branch, and agents work inside the same policy-enforced substrate as humans — letting a large team plus agent fleets collaborate on a unified, governed database.
From monolith to Lakebase to LTAP: rethinking the database from storage up
Reynold Xin walks through how Lakebase re-architects the database by separating compute from storage — externalizing the write-ahead log and data files into independent SafeKeeper and PageServer services — and introduces LTAP (Lake Transactional/Analytical Processing), which unifies transactions and analytics on a single copy of data at the storage layer.
Inside Lakebase: fully-managed serverless Postgres
Nikita Shamgunov (VP Engineering, Databricks) introduces Lakebase — a fully-managed, serverless Postgres built natively into the lakehouse — and walks through its architecture: serverless autoscaling, instant branching and rollback, Unity Catalog / Delta integration for zero-ETL access, and cross-cloud disaster recovery.
Safe AI-Driven Development with Lakebase Branches
A demo of Lakebase’s Git-like, zero-copy database branching: isolated, low-cost sandboxes for schema changes, agentic experimentation, and branch-based CI/CD, letting AI agents safely test against production-like data before promoting changes to production.
How Mastercard standardizes on Lakebase to power agentic operations
A customer session on how Mastercard standardizes on Lakebase as the operational database powering its agentic workloads, unifying transactional apps and analytics on one governed platform.
Announcing Lakebase Search: agent-native retrieval built into Lakebase Postgres
Introduces Lakebase Search — hybrid vector and full-text retrieval built into Lakebase Postgres via the native lakebase_vector and lakebase_text extensions — so agents can retrieve context, reason, act, and remember on a single Postgres backend without a separate vector database.
Data + AI Summit 2026 Keynote — Day 1
The Data + AI Summit day-one keynote, where Databricks leaders presented the latest Lakebase capabilities, including cross-region and cross-cloud disaster recovery, alongside live product demos.
Databricks Launches LTAP: The First Lake Transactional/Analytical Processing Architecture
The announcement of LTAP, unifying transactions, analytics, streaming, and operational data on a single governed copy of storage — the architecture Lakebase builds on.
Enabling Evolutionary Database Development: database branching with Lakebase
Part 1 of a three-part series with Pramod Sadalage (Thoughtworks). Follows one developer through a single feature and its database change, showing how a per-developer Lakebase branch — a fast, realistic, isolated copy of production — turns database change from a bottleneck into a normal part of feature development, finally making "everybody gets their own database instance" operational.
AI Agents That Remember: Building Stateful Systems with Lakebase
A walkthrough of using Lakebase as durable memory for AI agents — giving stateful systems persistent, queryable storage for conversation history, facts, and embeddings on managed Postgres.
Unlock seamless and cost-effective marketing campaigns with Lakebase
Shows how Lakebase serves as the serverless OLTP database behind marketing platforms such as SAP Engagement Cloud, cutting total cost of ownership by scaling to zero during idle periods and removing manual sync pipelines through native synced tables.
Take Control: Customer-Managed Keys for Lakebase Postgres
Introduces customer-managed keys (CMK) for Lakebase Postgres, using hierarchical envelope encryption to protect both persistent storage and ephemeral compute with keys held in your own cloud KMS — including key revocation that can render data cryptographically inaccessible for regulated workloads.
Beyond Provisioning: The Developer's Guide to Databricks Lakebase Autoscaling
A developer-focused guide to Lakebase autoscaling: how compute units adjust dynamically to CPU, memory, and working-set size, how to set min/max scaling boundaries, and how pairing autoscaling with scale-to-zero can cut compute costs by 70% or more for bursty workloads.
Zero-Downtime Patching in Lakebase Part 1: Prewarming
Explains how Lakebase avoids performance drops during planned maintenance by prewarming a new compute node in the background — preloading its cache from the current primary’s page list and WAL stream before promotion — so throughput recovers almost instantly instead of suffering a cold-restart hit.
Databricks Lakebase is now Generally Available
The general availability milestone for Lakebase, covering production readiness and the capabilities available to all customers.
A New Era of Databases: Lakebase
The foundational explainer for Lakebase: what a lakebase is, why separating compute from storage on open formats matters, and how it unifies operational and analytical data.
Databricks Launches Lakebase: a New Class of Operational Database for AI Apps and Agents
The official launch announcement detailing Lakebase's branching, autoscaling, low-latency high-concurrency performance, and synchronization to and from the lakehouse.
Announcing Lakebase Public Preview
The public preview announcement, walking through how to get started with Lakebase and the core developer experience.
Announcing Databricks Lakebase Launch Partners
An overview of the ecosystem of launch partners building on and integrating with Lakebase.
How the Lakebase Architecture Stays Resilient to Cloud Failures
A deep dive into the resilience of the Lakebase architecture and how it maintains availability and durability through cloud failures.
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