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Databricks Zerobus vs. Kafka: Do you still need Kafka in front of your Lakehouse?
Databricks Zerobus vs. Kafka: Do you still need Kafka in front of your Lakehouse?

Does 'streaming means Kafka' still hold for single-sink ingestion into Delta? We benchmarked it with 64.8 million real events and found a cost gap that never closes, 3.6× to 20.9×

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I benchmarked the new Lakehouse RT: It’s fast, cheap, and open-format
I benchmarked the new Lakehouse RT: It’s fast, cheap, and open-format

Most teams assume faster real-time queries mean higher compute costs. We benchmarked Databricks' new RT Lakehouse engine across datasets from 1 million to 50 billion records to find out, and the results reset what "fast" costs on a lakehouse.

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The Translator’s Gone: Inside Databricks' Direct Engine
The Translator’s Gone: Inside Databricks' Direct Engine

Databricks just replaced the engine behind DABs deployment. Here's what Direct Engine changes, why it matters, and how to migrate your existing bundles before Terraform support goes away.

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Databricks, Cost Hubert Dudek Databricks, Cost Hubert Dudek

The Hidden Benefits of Databricks Serverless

Most Databricks cost comparisons focus only on compute pricing, missing two critical factors that can save thousands monthly. Learn how serverless waives private link transfer fees (up to $10/TB) and provides persistent remote caching that survives warehouse restarts - hidden benefits that often justify the serverless premium entirely.

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Cost, Databricks Josue Bogran Cost, Databricks Josue Bogran

Cost allocation, cloud tags, and other relevant things on Databricks

In this three-part video series, Databricks MVP Josue Bogran and Greg Kroleski from Databricks’ “Money Team” discuss cost allocation, tagging best practices, cloud innovations, and performance enhancements. The series explores Databricks' efforts to optimize cost reporting, leverage AI for insights, and empower businesses to make smarter, growth-driven decisions in 2024 and beyond.

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