Lakebase Articles
A structured knowledge hub for Lakebase. Find in-depth technical content, how-to guides, and referen...
A structured knowledge hub for Lakebase. Find in-depth technical content, how-to guides, and referen...
Discover curated blogs from the community and experts. Learn through practical guides, use cases, an...
Ask questions, share challenges, and connect with others working on Lakebase. From troubleshooting t...
Healthcare organizations possess enormous volumes of care, operational and payer related data. Every care interaction generates information across care notes, diagnosis records, medication histories, imaging reports, claims systems and payer policies...
Great - let's connect over email - venkat@langguard.ai Our platform is built on Lakebase, Lakehouse and Unity AI Gateway. We deploy as an App.
Dear community,According to [1] and other sources, all workspace users are assigned `CAN_CREATE` on lakebase projects, and this permission "can't be revoked".The problem is that such a project comes with by default a 8 - 16 CU lakebase compute instan...
Thank you very much for also looking into this.I've submitted this as feedback via the new Lakebase Postgres web-ui. It doesn't look like I can link to that submitted feedback here. Let's hope for the best.
Modern Enterprise Healthcare Lake bases have fundamentally transformed care data operations by seamlessly unifying high concurrency transactional workloads such as electronic records (EMR) syncing, streaming care vitals and persistent memory for gene...
Hello Data Professionals, I need to tell you about something.I have been working with data platforms for a long time. Long enough to remember when "big data" was the buzzword, when Hadoop was the answer to everything, when data lakes were going to re...
Interesting perspective. The challenge of managing separate operational and analytical systems has been a pain point for years, especially as data volumes continue to grow. Reducing dependency on complex ETL pipelines could simplify architecture and ...
The friction between modern operational edge applications and core analytical data systems is a massive architectural bottleneck in healthcare organizations. Building patient-facing mobile applications, synchronizing remote patient monitoring (RPM) w...
Lakebase just went GA. Here's what a production migration actually looks like.For most of the last decade, our data infrastructure lived in two separate worlds.On one side: a transactional database handling operational workloads — the writes, the loo...
I am building an agentic workflow. This is a multi agent workflow - Plan, Reason, Act and Synthesize. Each agent has its own access to tools to take ACTIONS on data. Some of these agents are READ only, some can WRITE/UPDATEAll data is resident withi...
Hi Ashwin I do want to contrast you stated really well from what is stated or implied in the Service Control policies documentation you shared.You said things1) For write or move actions, I would strongly recommend a controlled execution pattern... p...
We had ADF pipelines extracting POS data to Snowflake, but needed real-time operational tracking—job statuses, data quality alerts, user audit logs. Traditional RDS/SQL databases created ETL sync nightmares between ops and analytics layers.Lakebase s...
Lake base Autoscaling instances are the way forward as they are cost efficient with predictable costs, optimized for performance with simplified operations. Autoscaling automatically adjusts resources based on workload demands. Scale to Zero is an ex...
We are testing Azure Databricks Lakebase Autoscaling with Public Network Access disabled and standard inbound Private Link enabled.The workspace UI works privately through VPN, but the Lakebase Data API hostname still resolves to a public IP and retu...
Hi @POCUSER , Yes, the Lakebase Data API can be used privately with Public Network Access disabled. Because the Data API is a REST endpoint (Lakebase Data API), it goes through your workspace’s standard inbound (front-end) Private Link, the databrick...
Enterprise Care systems today are constrained in decision making but possess rich data. Every patient journey generates signals across multiple systems such as care observations, lab results, billing workflows and operational updates. Yet when it com...
Databases have powered software for decades, but their underlying architecture hasn’t kept pace with modern application needs—especially in the era of AI and rapid development. Lakebase introduces a new approach by separating compute from storage an...
We are using Lakebase Data API (HTTP Endpoint) to execute queries and need to verify the audit log capabilities for compliance. Could you please clarify:Query Text Logging: Does Databricks capture the full SQL statement text and the actual user ident...
Hi @POCUSER, I’m not aware of any public documentation that explicitly confirms that every request sent through the Lakebase Data API is captured in system.query.history or exposed through a dedicated per-request audit log. A practical way to validat...
A Quick Word Before We Dive InWhy Benchmark MattersAbout the Benchmarking Tool - pgbenchBenchmarkingRepository & ReproducibilityEnvironmentHardware / Configuration:ExecutionsDatabricks Lakebase - 240s Run:Databricks Lakebase - 180s Run:AWS Aurora (PG...
In the environment table the Aurora says DSQL. Is that a typo?
The OLTP landscape within the Data Intelligence Platform is undergoing an essential evolutionary step. Databricks has announced an automatic upgrade path shifting all legacy Lake base Provisioned Instances to the modern elastic Lake base Autoscaling ...
By Mandy Ross and Mitchell Grewer At Databricks, we innovate in every department. Most recently, the Community team solved a tricky problem by building an internal app and as part of that process, reduced our in-app AI assistant’s time-to-first-respo...
It's an absolute pleasure collaborating with the community team! It's so cool to see this engagement pattern live, where the agent (CORA) engages when the page loads instead of the user having to type a question.
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