All the pieces begins with good knowledge, so ingestion is commonly your first step to unlocking insights. Nonetheless, ingestion presents challenges, like ramping up on the complexities of every knowledge supply, holding tabs on these sources as they modify, and governing all of this alongside the best way.
Lakeflow Join makes environment friendly knowledge ingestion straightforward, with a point-and-click UI, a easy API, and deep integrations with the Knowledge Intelligence Platform. Final yr, greater than 2,000 clients used Lakeflow Connect with unlock worth from their knowledge.
On this weblog, we’ll evaluate the fundamentals of Lakeflow Join and recap the newest bulletins from the 2025 Knowledge + AI Summit.
Ingest all of your knowledge in a single place with Lakeflow Join
Lakeflow Join gives easy ingestion connectors for functions, databases, cloud storage, message buses, and extra. Below the hood, ingestion is environment friendly, with incremental updates and optimized API utilization. As your managed pipelines run, we care for schema evolution, seamless third-party API upgrades, and complete observability with built-in alerts.
Knowledge + AI Summit 2025 Bulletins
At this yr’s Knowledge + AI Summit, Databricks introduced the Common Availability of Lakeflow, the unified strategy to knowledge engineering throughout ingestion, transformation, and orchestration. As a part of this, Lakeflow Join introduced Zerobus, a direct write API that simplifies ingestion for IoT, clickstream, telemetry and different related use circumstances. We additionally expanded the breadth of supported knowledge sources with extra built-in connectors throughout enterprise functions, file sources, databases, and knowledge warehouses, in addition to knowledge from cloud object storage.
Zerobus: a brand new option to push occasion knowledge on to your lakehouse
We made an thrilling announcement introducing Zerobus, a brand new revolutionary strategy for pushing occasion knowledge on to your lakehouse by bringing you nearer to the info supply. Eliminating knowledge hops and lowering operational burden permits Zerobus to offer high-throughput direct writes with low latency, delivering close to real-time efficiency at scale.
Beforehand, some organizations used message buses like Kafka as transport layers to the Lakehouse. Kafka gives a sturdy, low-latency approach for knowledge producers to ship knowledge, and it’s a preferred selection when writing to a number of sinks. Nonetheless, it additionally provides additional complexity and prices, in addition to the burden of managing one other knowledge copy—so it’s inefficient when your sole vacation spot is the Lakehouse. Zerobus offers a easy resolution for these circumstances.
Joby Aviation is already utilizing Zerobus to instantly push telemetry knowledge into Databricks.
Joby is ready to use our manufacturing brokers with Zerobus to push gigabytes a minute of telemetry knowledge on to our lakehouse, accelerating the time to insights — all with Databricks Lakeflow and the Knowledge Intelligence Platform.”
— Dominik Müller, Manufacturing unit Methods Lead, Joby Aviation, Inc.
As a part of Lakeflow Join, Zerobus can be unified with the Databricks Platform, so you’ll be able to leverage broader analytics and AI capabilities instantly. Zerobus is at the moment in Non-public Preview; attain out to your account workforce for early entry.
🎥 Watch and be taught extra about Zerobus: Breakout session on the Knowledge + AI Summit, that includes Joby Aviation, “Lakeflow Join: eliminating hops in your streaming structure”
Lakeflow Join expands ingestion capabilities and knowledge sources
New absolutely managed connectors are persevering with to roll out throughout varied launch states (see full listing beneath), together with Google Analytics and ServiceNow, in addition to SQL Server – the primary database connector, all at the moment in Public Preview with Common Availability coming quickly.
We now have additionally continued innovating for purchasers who need extra customization choices and use our present ingestion resolution, Auto Loader. It incrementally and effectively processes new knowledge recordsdata as they arrive in cloud storage. We’ve launched some main value and efficiency enhancements for Auto Loader, together with 3X sooner listing listings and computerized cleanup with “CleanSource,” each now usually obtainable, together with smarter and cheaper file discovery utilizing file occasions. We additionally introduced native help for ingesting Excel recordsdata and ingesting knowledge from SFTP servers, each in Non-public Preview, obtainable by request for early entry.
Supported knowledge sources:
- Functions: Salesforce, Workday, ServiceNow, Google Analytics, Microsoft Dynamics 365, Oracle NetSuite
- File sources: S3, ADLS, GCS, SFTP, SharePoint
- Databases: SQL Server, Oracle Database, MySQL, PostgreSQL
- Knowledge warehouses: Snowflake, Amazon Redshift, Google BigQuery
Inside the expanded connector providing, we’re introducing query-based connectors that simplify knowledge ingestion. These new connectors will let you pull knowledge instantly out of your supply techniques with out database modifications and work with learn replicas the place change knowledge seize (CDC) logs aren’t obtainable. That is at the moment in Non-public Preview; attain out to your account workforce for early entry.
🎥 Watch and be taught extra about Lakeflow Join: Breakout session on the Knowledge + AI Summit, “Getting Began with Lakeflow Join”
🎥 Watch and be taught extra about ingesting from enterprise SaaS functions: Breakout session on the Knowledge + AI Summit that includes Databricks buyer Porsche Holding, “Lakeflow Join: Seamless Knowledge Ingestion From Enterprise Apps”
🎥 Watch and be taught extra about database connectors: Breakout session on the Knowledge + AI Summit, “Lakeflow Join: Simple, Environment friendly Ingestion From Databases”
Lakeflow Join in Jobs, now usually obtainable
We’re persevering with to develop capabilities to make it simpler so that you can use our ingestion connectors whereas constructing knowledge pipelines, as a part of Lakeflow’s unified knowledge engineering expertise. Databricks just lately introduced Lakeflow Join in Jobs, which lets you create ingestion pipelines inside Lakeflow Jobs. So, when you have jobs as the middle of your ETL course of, this seamless integration offers a extra intuitive and unified expertise for managing ingestion.
Clients can outline and handle their end-to-end workloads—from ingestion to transformation—multi function place. Lakeflow Join in Jobs is now usually obtainable.
🎥 Watch and be taught extra about Lakeflow Jobs: Breakout session on the Knowledge + AI Summit “Orchestration with Lakeflow Jobs”
Lakeflow Join: extra to come back in 2025 and past
Databricks understands the wants of information engineers and organizations who drive innovation with their knowledge utilizing analytics and AI instruments. To that finish, Lakeflow Join has continued to construct out sturdy, environment friendly ingestion capabilities with absolutely managed connectors to extra customizable options and APIs.
We’re simply getting began with Lakeflow Join. Keep tuned for extra bulletins later this yr, or contact your Databricks account workforce to hitch a preview for early entry.
To attempt Lakeflow Join, you’ll be able to evaluate the documentation, or take a look at the Demo Heart.
