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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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Full-text search index on Databricks. How we cut search time by 400x

Full-text search index on Databricks. How we cut search time by 400x


We benchmarked Databricks' new full-text search index across tables from 100M to 10B rows. The result: a 10B-row word search dropped from 71 minutes to under 11 seconds: a 99.75% speedup! Here's how the feature works, how to set it up, and when it's not worth using.

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Databricks Hubert Dudek Databricks Hubert Dudek

5 Databricks Patterns That Look Fine Until They Aren't

Five common Databricks coding patterns — including undocumented API calls, manual SparkSession instantiation, and hardcoded Spark configs — that pass code review but fail silently in serverless environments or during platform migrations. For each anti-pattern, this post explains why it breaks and shows the correct native Databricks approach using DABS, the Databricks SDK, and dynamic job parameters.

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