Unity Catalog
PulseAugur coverage of Unity Catalog — every cluster mentioning Unity Catalog across labs, papers, and developer communities, ranked by signal.
- used by Genie Agents 90%
- developed Unity AI Gateway 90%
- uses Apache Iceberg 90%
- used by Genie One 90%
- instance of Databricks Lakehouse 90%
- used by Databricks Apps 90%
- used by Agent Bricks 90%
- used by Genie Code 90%
- uses Lakeflow Connect 90%
- used by DuckDB 90%
- used by Lakeflow Connect 90%
- used by Databricks Data Intelligence Platform 90%
11 day(s) with sentiment data
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Databricks integrates Sendoso gifting into Genie One AI agent
Databricks has integrated Sendoso's gifting platform into its Genie One AI agent, allowing business teams to act on buying signals directly. This integration enables users to identify accounts showing increased interest…
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IBM, Databricks, and ElevenLabs announce AI advancements · 3 sources tracked
IBM Research is developing Praxis, a system designed to integrate policy enforcement directly into the AI stack. Meanwhile, Databricks and Mosaic AI have introduced UCDataset to enhance GPU training performance on Unity…
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Databricks UCDataset accelerates GPU training by 10x from Unity Catalog
Databricks has introduced UCDataset, a new beta feature designed to accelerate GPU training by directly streaming data from Unity Catalog tables. This native PyTorch data loader aims to reduce training times by up to 10…
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Databricks OpenSharing replaces data copying with live table reads
Databricks has introduced OpenSharing, a new protocol designed to replace traditional file and API data feeds. This system allows recipients to read shared data directly from the provider's storage in real-time, elimina…
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Databricks launches Unity Gateway for public sector AI governance
Databricks has introduced Unity Gateway, a new solution designed to help public sector organizations manage and govern their AI initiatives at scale. This tool addresses common challenges faced by government agencies, s…
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Databricks Feature Views streamline real-time fraud detection
Databricks has introduced Feature Views within its Feature Store to enhance real-time fraud detection. These views allow for a single definition of features, ensuring consistency between model training and live scoring,…
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Databricks offers guide for scaling apps to handle user growth
Databricks has released a guide for developers on how to scale their Databricks Apps to handle increasing user loads and maintain performance. The guide emphasizes setting clear targets for response times and peak user …
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Databricks evolves Delta Sharing to OpenSharing for AI assets
Databricks has evolved its Delta Sharing protocol into OpenSharing, a new Linux Foundation-governed standard designed for sharing a wider array of AI assets beyond just data tables. This expansion includes agent skills,…
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Databricks enables push-based CDC into Unity Catalog with Zerobus and Debezium
Databricks has introduced a new push-based change data capture (CDC) method into its Unity Catalog, leveraging Zerobus Ingest and Debezium. This integration allows organizations to stream raw database changes directly i…
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Databricks adds UNIQUE constraints to Delta tables for query optimization
Databricks has introduced UNIQUE constraints for Delta tables in Databricks SQL and Databricks Runtime 18.2 and above. These constraints allow users to declare multiple nullable or composite uniqueness guarantees beyond…
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Anthropic's Claude Platform integrates OpenTelemetry for Databricks MLflow observability
Anthropic's Claude Platform now offers native OpenTelemetry observability, allowing users to integrate their agent traces into Databricks MLflow. This public beta feature enables developers to send traces from Anthropic…
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Databricks Lakebase Postgres now available on Google Cloud
Databricks has announced the general availability of Lakebase Postgres on Google Cloud. This fully managed, serverless Postgres database is designed to handle agentic and mission-critical workloads by separating compute…
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Databricks enhances AI coding agent Genie Code with healthcare and life sciences skills
Databricks has introduced Vital Skills, a set of open-source Agent Skills designed to imbue AI coding agents with specialized knowledge in healthcare and life sciences. These skills aim to address the limitations of gen…
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Databricks launches Lakehouse Federation for unified data access
Databricks has introduced Lakehouse Federation, a new feature that allows users to query data directly from on-premises databases and cloud-based sources without migrating or copying the data. This capability enables fi…
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Databricks launches Lakeflow Connect to unify productivity and AI data
Databricks has launched Lakeflow Connect, a new service designed to unify productivity and AI data from various applications into a single, governed platform. The service offers managed connectors for tools like Atlassi…
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Databricks launches AI Runtime for managed GPU model training
Databricks has announced the general availability of its AI Runtime (AIR), a managed GPU infrastructure service designed to streamline the training of foundation models using enterprise data. AIR integrates GPU capacity…
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Databricks Unity Catalog advances open lakehouse with enhanced data portability
Databricks has enhanced its Unity Catalog to promote greater openness in data lakehouses. The catalog now supports the Apache Iceberg REST catalog specification for registering and unregistering tables, enabling data po…
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Databricks enhances dbt pipelines for cost, speed, and simplicity
Databricks is enhancing its platform to optimize dbt pipelines, making them more cost-effective, faster, and simpler to manage. The updates focus on keeping the entire data transformation process within a single dbt pro…
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Databricks integrates real-time Stripe data sync for apps
Databricks has announced a new integration that allows real-time synchronization of Stripe data into its Lakebase Postgres. This eliminates the need for custom API or webhook integrations, enabling applications to acces…
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Databricks AI Data Prep: SqlDBM Leads Governance for RAG Apps
The article highlights the critical role of data preparation and governance in building effective AI applications, particularly retrieval-augmented generation (RAG) systems on Databricks. It identifies SqlDBM as a top t…