The data platform reading list, autumn 2026
Snowflake and Databricks shipped six long guides between them this quarter. Here is who should read which.
TechPulse Insider Newsroom
eBook · from Databricks
Lakebase For Dummies
For decades, databases bundled compute and storage. This made provisioning new databases slow and locked data into proprietary formats. Today, teams ship code in seconds and build apps, agents and AI products faster than ever.
- Format
- eBook
- Published by
- Databricks
- Category
- Data & Analytics
- Added
- 5 Aug 2026
What’s inside
- Why traditional databases break down under app and agent workloads
- How separating compute from storage changes cost, speed and reliability
- What instant branching and cloning unlock for development teams
- How the lakebase architecture fits alongside your lakehouse for unified transactional and analytical work
- What to look for when evaluating Databricks Lakebase for your stack
About this ebook
For decades, databases bundled compute and storage. This made provisioning new databases slow and locked data into proprietary formats. Today, teams ship code in seconds and build apps, agents and AI products faster than ever.
Lakebase meets them where they are. It’s a new category of serverless Postgres database with separate compute and storage, built to integrate seamlessly with your lakehouse. This means you can spin up databases almost instantly, branch them like code and scale to zero when you’re done.
Read Lakebase For Dummies for an introduction and learn:
- Why traditional databases break down under app and agent workloads
- How separating compute from storage changes cost, speed and reliability
- What instant branching and cloning unlock for development teams
- How the lakebase architecture fits alongside your lakehouse for unified transactional and analytical work
- What to look for when evaluating Databricks Lakebase for your stack
Listen or skim
Summaries are generated from this page’s text. Read the full piece for the detail.
Our take
The newsroom read this
More from Databricks
All 2 →
Elsewhere in Data & Analytics
See the category →Guide
The Essential Guide to Data Sharing
The ability to share data quickly and securely, both inside and outside an organization, is mission-critical to success in the age of AI. However, traditional methods for data sharing can be cumbersome, resulting in stale, out-of-date data and delayed time to insights.
SnowflakeData
Whitepaper
How to Knit Your Data Mesh on Snowflake
Stung by organizational bottlenecks and data governance shortfalls, companies in all industries are choosing data mesh to decentralize data management and improve data agility.
SnowflakeData
Whitepaper
7 Snowflake Reference Architectures for Application Builders
Data application developers need a data stack architecture with built-in scalability and connectivity. A cloud data platform delivers the performance and nearly infinite autoscaling needed to launch and scale applications quickly and cost-effectively.
SnowflakeData