New in Confluent Cloud: Making Data & Pipelines Accessible for AI-Ready Streaming | Learn More

TABLEFLOW | NOW GENERALLY AVAILABLE

Easily Represent Kafka Topics as Apache Iceberg® or Delta Lake Tables

Represent Kafka topics and associated schemas as open table formats such as Apache Iceberg® or Delta Lake in a few clicks to feed any data warehouse, data lake, or analytics engine

Topics to Tables for 30-50% Lower Cost

Simplify the process of representing Kafka topics as Iceberg or Delta tables to form bronze and silver tables, reducing engineering effort and compute costs

Tableflow topics to tables illustrationTableflow topics to tables illustration

Enhanced Flexibility by Bringing Your Own Storage

Store your fresh, up-to-date Iceberg or Delta tables once, reuse many times with your own compatible storage, ensuring flexibility, cost savings, and security

Tableflow enhanced flexibility illustrationTableflow enhanced flexibility illustration

Materialize Apache Kafka® Topics as Apache Iceberg™ and Delta Lake Tables With Zero ETL

Tim Berglund is back at the lightboard to show you the most exciting thing he’s seen in analytics in the last 40 years (nope, that’s not an exaggeration): Tableflow, a new feature in Confluent Cloud that lets you completely skip the ETL and make your Apache Kafka® topic data available as tables in your data lake.

In this video, Tim walks through how Tableflow works and why it’s a big deal—no data copying, no transformation steps, just native open table formats like Apache Iceberg™ and Delta Lake right on top of your Kafka data.

Build Gold Standard Tables With Our Partner Ecosystem

Leverage our commercial and ecosystem partners to transform bronze or silver tables into gold standard tables for a wide range of AI and analytics use cases

Tableflow partner ecosystem graphicTableflow partner ecosystem graphic

Strong Read Performance & Automated Data Maintenance

Continuously optimize read performance with file compaction, maintaining efficient data storage and retrieval by consolidating small files into larger, more manageable ones

Tableflow automated table maintenance illustrationTableflow automated table maintenance illustration

Not Using Confluent Cloud? Use WarpStream Tableflow

WarpStream Tableflow works with any Kafka-compatible source, and can run in any cloud or even on-premise. Ingest simultaneously from multiple different Kafka clusters to centralize your data in a single lake.

Tableflow deployment graphicTableflow deployment graphic

“For companies to maximize returns on their AI investments, they need their data, AI, analytics and governance all in one place. As we support a growing number of organizations in building data intelligence, trustworthy enterprise data is paramount, achievable only by eliminating silos between operational and analytical data. We are excited that Tableflow has embraced Delta Lake and Unity Catalog as an open table and governance solution, and we look forward to working together to deliver long-term value for our customers.”

Ali Ghodsi
Co-Founder & CEO

“Access to real-time data is critical for customers to make fast and accurate decisions. With Confluent’s Tableflow now available on Microsoft Azure, customers can stream Kafka events to OneLake as Apache Iceberg or Delta Lake tables and query them instantly via Microsoft Fabric and popular 3rd party engines using OneLake Table APIs, cutting complexity and speeding up decisions.”

Dipti Borkar
Vice President and GM of Microsoft OneLake and ISV Ecosystem

“Access to real-time, trustworthy data is a key factor in scaling AI initiatives faster, and a crucial requirement for analytical platforms. With Tableflow, users can seamlessly represent Kafka topics and their associated schemas as Apache Iceberg™ tables in just a few clicks to deliver the AI-powered insights that today’s businesses need. Through a native integration with Snowflake Open Catalog, a managed service for Apache Polaris™(incubating), our joint customers can access real-time operational data for AI, analytics, and collaboration easier, and with more unified governance, than ever before. We are thrilled to help customers bridge the gap between operational and analytical estates with a solution that leverages open standards."

Christian Kleinerman
EVP, Product

“Bus companies love us because we make sales, operations and dispatching super simple, but that’s only possible with real-time data analytics. Tableflow offers a promising path for our analytics engine to seamlessly consume operational data in Kafka in real-time as Apache Iceberg tables, eliminating the need for additional pre-processing. By integrating Tableflow with our data warehouse, we could prevent raw, unclean data from being ingested while reducing complexity and storage costs. This approach would simplify workflows and accelerate time to insight while ensuring a more efficient and cost-effective data architecture.”

Brady Perry
Co-Founder & CTO

'At Attune, delivering real-time insights from smart building IoT data is central to our mission. With just a few clicks, Confluent Tableflow lets us materialize key Kafka topics into trusted, analytics-ready tables. This gives our business accurate visibility into customer engagement, device behavior, and per-tenant platform utilization—directly from the live data streams. The Confluent Data Streaming Platform also helps us quickly identify and resolve data quality issues like duplicate sensor events, saving time and improving efficiency. Tableflow has simplified our data architecture while opening new possibilities for how we leverage data."

David Kinney
Principal Architect

“In the current era of AI, it is more important than ever to ensure that real-time, trustworthy data is unified across both operational and analytical systems. Enterprises should seek solutions that provide their lakehouses, AI models, and analytical engines with real-time streaming data without extensive pre-processing or manual intervention. Offerings that automate the preparation of bronze and silver standard tables with a push-button approach can enable faster real-time decision-making, significantly accelerate AI initiatives, and enhance data reliability, integrity, and trust.”

Stewart Bond
VP, Data Intelligence & Integration Software
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