Databricks Classic vs. Serverless vs. Cazpian: The 2026 Compute Cost Showdown
Databricks is moving its customers to serverless. We price three realistic Spark workloads on Databricks Classic, Databricks Serverless (Jobs and SQL), and Cazpian — with Cazpian's side taken from measured runs, not a model — and keep raw EMR as the AWS floor for reference.
Zero Cold Starts: How Cazpian Compute Pools Cut Your Spark Bills in Half
What if your Spark jobs never waited for a cluster again? Cazpian Compute Pools eliminate cold-start overhead with warm, right-sized compute that is always ready — cutting lakehouse bills by 50-80%.
The Small Job Tax: How Spark Cold Starts Are Silently Draining Your Data Budget
Most data teams don't realize their smallest Spark jobs are their most expensive per byte. Here's the math behind the hidden cold-start tax — and what you can do about it.
Lakehouse vs Data Warehouse for Multi-Cloud Systems (2026 Guide)
A comprehensive guide on choosing between Lakehouse and Data Warehouse architectures for multi-cloud analytics.
AI Studio for Data Teams
Introduce Cazpian AI Studio and how it helps data teams build agents and automations.
Introducing Cazpian: An AWS-first Lakehouse Platform
Learn what Cazpian is, why we built it, and how it helps data teams on AWS.
Why Apache Iceberg and Spark for Cazpian?
Explain the technology choices: Apache Iceberg, Spark, AWS-first approach.