Databricks: what’s new in May 2025? Updates & Features Explained! #databricks

Databricks, What’s New in Databricks? Explore Databricks' latest May 2025 platform update, packed with key Databricks features like the new Databricks Runtime 16.4 LTS, Databricks Autoloader auto-cleaning enhancements, and user-friendly Lakeflow UI connectors that streamline data ingestion and workflows in Databricks. Experience powerful improvements in Databricks ETL and Delta Live Tables (DLT) editors, PRIVATE materialised views, streaming tables, and Delta Sharing capabilities, alongside expanded Databricks Clean Rooms functionality allowing collaboration among up to 10 Databricks partners. Additionally, Databricks introduces predictive optimisation across all Databricks workloads, seamless just-in-time user provisioning, and the ability to run Databricks code directly inside the built-in assistant. Enhance your productivity with Databricks' new query snippets, advanced charting, local app execution, custom data sources integration, improved syntax highlighting, and optimised string aggregation functions. 📌 Key Highlights for This Month: - *0:00* Databricks May 2025 Update - *0:16* 16.4 LTS - *0:28* Autoloader auto cleaner - *2:28* Lakeflow UI connectors - *3:01* Workflow run with different settings - *4:27* ETL/DLT editor - *5:30* PRIVATE materialised views and streaming tables - *6:48* Delta share materialised views and streaming tables - *7:27* Clean rooms up to 10 collaborators - *7:57* Predictive optimisation for all - *8:45* Just-in-time user provisioning - *10:04* Cluster logs - *11:13* Run the code inside the assistant - *13:22* Query snippets - *14:34* New charts - *15:43* Run apps locally - *16:51* Custom data sources - *18:01* Syntax highlighter - *19:25* String aggregation ============================= 📚 *Notebooks from the video:* 🔗 [GitHub Repository](https://github.com/hubert-dudek/medium/tree/main/news/202505) 🔔𝐃𝐨𝐧'𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐦𝐲 𝐜𝐡𝐚𝐧𝐧𝐞𝐥 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬. https://www.youtube.com/@databricks_hubert_dudek/?sub_confirmation=1 🔗 Support Me Here! ☕Buy me a coffee: https://ko-fi.com/hubertdudek ✨ Explore Databricks AI insights and workflows—read more: https://databrickster.medium.com/ ============================= 🎬Suggested videos for you: ▶️ [What’s new in January 2025](https://www.youtube.com/watch?v=JJiwSplZmfk) ▶️ [What’s new in February 2025](https://www.youtube.com/watch?v=tuKI0sBNbmg) ▶️ [What’s new in March 2025](https://youtu.be/hJD7KoNq-uE) ▶️ [What’s new in April 2025](https://youtu.be/FDgtNVeLTc8) ============================= 📚 **New Articles for Further Reading:** - 📝 *Clean Landing Zone — autoloader cleanSource:* 🔗 [Read the full article](https://databrickster.medium.com/clean-landing-zone-autoloader-cleansource-6258ffaf1e41) - 📝 *Nested groups in databricks:* 🔗 [Read the full article](https://databrickster.medium.com/nested-groups-in-databricks-8c99993f84fd) - 📝 *Cost Benchmark: 2 billion records from bronze to silver on serverless:* 🔗 [Read the full article](https://databrickster.medium.com/cost-benchmark-2-bln-records-from-bronze-to-silver-on-serverless-c970fcf9de68) - 📝 *Logs to Volumes and to Dataframe:* 🔗 [Read the full article](https://databrickster.medium.com/logs-to-volumes-and-to-dataframe-370047240cf1) ============================= 🔎 Related Phrases: #databricks #bigdata #dataengineering #machinelearning #sql #cloudcomputing #dataanalytics #ai #azure #googlecloud #aws #etl #python #data #database #datawarehouse