Zerobus
Recent items mentioning Zerobus across the Databricks ecosystem — releases, news, videos, and community Q&A. Updated hourly.
Beta support for Apache Kafka-compatible APIs has arrived in Zerobus Ingest 1, accompanied by a new Beta Rescue Column feature for flexible schema management 2. Bypassing traditional message buses, the multi-cloud ingestion service streams event data and operational telemetry directly into Delta tables under Unity Catalog for real-time analytics and AI workflows 34.
Generated daily from the 5 most recent items mentioning Zerobus. Click any [N] to jump to the source.
Plug & Play: Zerobus Ingest Now Supports Apache Kafka® Compatible APIs (Beta)
Try the new Zerobus Rescue Column: Choose-Your-Own-Adventure Schema Management (Beta)
Agents for production lines: Trusted decisions in real time
Agents like ProdLine CoPilot analyze live plant state from the Databricks Data Intelligence Platform to turn line-manager recovery decisions from a next-morning report into an in-shift answer. Zerobus streams OT telemetry into Delta tables alongside MES, ERP, and LIMS under Unity Catalog, so domain specialists can run real solvers against planners' existing constraints while recommendations stay as draft work orders and holds pending human approval.
NewsLearn about Zerobus in 15 min!
Databricks Lakeflow Connect Zerobus Ingest is a high-performance, multi-cloud ingestion service that allows users to stream event data directly into their lakehouse without the cost and complexity of a traditional message bus. The video explains the architecture of Zerobus Ingest, announces upcoming API integrations for Kafka and MQTT, and demonstrates how to configure and run a Python client to write data directly into a Delta table.
Zerobus ingestion fails in Databricks
EventsUnlocking agentic data engineering with Lakeflow + Genie
The video introduces Lakeflow as a unified, open data engineering stack that simplifies data transformation, ingestion, and orchestration through declarative pipelines, no-code tools, and managed services. It also announces Genie Zero Ops, an AI agent that automates data operations by autonomously detecting, diagnosing, and verifying fixes for data incidents and PII exposures within the data plane.
Lakeflow: A new era of agentic data engineering
Lakeflow unifies ingestion, transformation, and orchestration under Unity Catalog, providing a single source of trusted, real-time context for agentic AI. It offers high-performance ingestion from 100+ sources, real-time streaming, visual pipeline building with Lakeflow Designer, and AI-powered authoring and operations with Genie Code and Genie ZeroOps.
Ingesting the Milky Way: Petabyte-Scale with Zerobus Ingest
Zerobus Ingest, a new serverless streaming API, enables instant deployment of petabyte-scale data pipelines on Databricks without manual infrastructure management. Its dynamic partitioning architecture automatically scales compute and sustains over 12 GB/s throughput to a single table, efficiently handling unpredictable data volumes.
NewsZerobus Ingest, Lakebase and Databricks Apps in Action: Data Streaming with Databricks
The video demonstrates a real-time IoT data streaming application built with Zerobus for ingestion, Lakebase for low-latency serving, and Databricks Apps for the front and back ends. This architecture processes thousands of concurrent IoT events from mobile phone sensors globally without using Kafka or traditional complex pipelines.
From months to minutes: Building real-time clinical data pipelines with natural language
Databricks and Redox now enable real-time clinical data pipelines from EHRs to Unity Catalog with natural language prompts, reducing integration time from months to minutes. This partnership allows AI outputs to be written back into the EHR in real time, transforming Databricks into an operational layer for point-of-care interventions.
NewsZerobus Ingest and Lakebase in Action: Data Streaming with Databricks
The video demonstrates a real-time IoT data streaming application built with Zerobus for ingestion, Lakebase for low-latency serving, and Databricks apps for the front and back end, without relying on Kafka. It showcases how thousands of concurrent IoT events from mobile phone sensors worldwide are ingested, processed, and visualized on a map, with traces served by Lakebase for fast access.
Tutorials54 Zerobus Ingest Lakeflow Standard Connector | Ingest Streaming data directly into Delta Table
The video demonstrates how to use Databricks Zero Bus Ingest, a push-based API, to directly stream various data types like IoT, event, and telemetry data into Unity Catalog Delta tables. It highlights Zero Bus Ingest's ability to simplify streaming ingestion by eliminating the need for intermediate message buses and managing their infrastructure.