- 1742 Views
- 4 replies
- 7 kudos
A New Era of Databases: Lakebase
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...
- 1742 Views
- 4 replies
- 7 kudos
- 176 Views
- 0 replies
- 0 kudos
Lakebase Continuous Sync: Why My Synced Table Stayed Empty Despite a Healthy Pipeline
Today I ran into an interesting issue while setting up a Lakebase synced table to sync a Delta table from our Lakehouse to Postgres using Continuous Sync mode.Everything looked correct:Change Data Feed (CDF) was enabled.The pipeline was healthy.The s...
- 176 Views
- 0 replies
- 0 kudos
- 265 Views
- 0 replies
- 0 kudos
Announcement | Foundational context: Cross-industry & function-specific accelerators for Lakebase
Databricks is highlighting a growing set of partner-built accelerators for Lakebase that help organizations modernize operational data systems, support stateful AI applications, and deliver real-time business workflows on a governed Databricks founda...
- 265 Views
- 0 replies
- 0 kudos
- 1071 Views
- 1 replies
- 2 kudos
Why We Moved Our Operational Database Into Databricks — And Stopped Managing Two Stacks
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...
- 1071 Views
- 1 replies
- 2 kudos
- 2 kudos
Great article Naveen! Thanks for putting your finger on where the actual work is in migrating to Lakebase and what teams need to think about.
- 2 kudos
- 421 Views
- 0 replies
- 0 kudos
Announcement | From monolith to Lakebase to LTAP: rethinking the database from storage up
Databricks has shared a deeper look at how Lakebase rethinks database architecture by separating Postgres compute from storage, and how that design leads to LTAP, a model where transactions and analytics can run on the same underlying data without tr...
- 421 Views
- 0 replies
- 0 kudos
- 1220 Views
- 5 replies
- 1 kudos
HealthCare Prior Authorizations with Databricks Lakebase Vector Search
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...
- 1220 Views
- 5 replies
- 1 kudos
- 1 kudos
Hi Venkat, Sent you a message. I highly recommend checking out the Lake base Security Triad framework since you are leveraging it in the product.
- 1 kudos
- 389 Views
- 0 replies
- 0 kudos
Fortifying Enterprise Healthcare Databricks Lakebase with the Security Triad
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...
- 389 Views
- 0 replies
- 0 kudos
- 5039 Views
- 1 replies
- 2 kudos
Databricks Lakebase Just Eliminated the Wall Between Applications and Analytics.
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...
- 5039 Views
- 1 replies
- 2 kudos
- 2 kudos
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 ...
- 2 kudos
- 560 Views
- 0 replies
- 0 kudos
Zero Code REST Integration for Modern HealthCare Vitals via Databricks Lakebase Data API
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...
- 560 Views
- 0 replies
- 0 kudos
- 940 Views
- 1 replies
- 3 kudos
Why We Moved Our Operational Database Into Databricks — And Stopped Managing Two Stacks
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...
- 940 Views
- 1 replies
- 3 kudos
- 3 kudos
Great write up and felt useful. Thanks for sharing the real experience.!
- 3 kudos
- 701 Views
- 2 replies
- 0 kudos
In our retail analytics project (CPG domain), Lakebase transformed how we handled operational data
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...
- 701 Views
- 2 replies
- 0 kudos
- 0 kudos
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...
- 0 kudos
- 630 Views
- 0 replies
- 0 kudos
Modern HealthCare Capacity Planning with Databricks Lake base & AI BI
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...
- 630 Views
- 0 replies
- 0 kudos
- 1742 Views
- 4 replies
- 7 kudos
A New Era of Databases: Lakebase
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...
- 1742 Views
- 4 replies
- 7 kudos
- 1386 Views
- 0 replies
- 1 kudos
Databricks Lake base Evolution - Mandatory Shift from Provisioned Instances to Elastic Autoscaling
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 ...
- 1386 Views
- 0 replies
- 1 kudos
- 1185 Views
- 2 replies
- 13 kudos
Sub-Second Agents for the Databricks Community: A Lakebase Pattern for Instant Context
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...
- 1185 Views
- 2 replies
- 13 kudos
- 13 kudos
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.
- 13 kudos
- 717 Views
- 0 replies
- 1 kudos
Databricks Lakebase - Healthcare Patient Risk Scoring using Feature Stores powered by Lake base
Healthcare organizations are increasingly adopting predictive AI systems to identify patient deterioration earlier to reduce ICU escalation risk and improve care response times. However, building real time healthcare AI systems at enterprise scale re...
- 717 Views
- 0 replies
- 1 kudos
