Confluent launches Tableflow to bridge real-time Data and AI

Confluent at the Current Bengaluru 2025 event announced the general availability of Tableflow, a new solution designed to integrate real-time business data with analytical systems, making AI applications more efficient and enterprise-ready.

Tableflow is a solution that enables organizations to seamlessly access and analyze operational data from data lakes and warehouses using popular open table formats like Apache Iceberg and Delta Lake. The solution aims to eliminate data silos, making AI-driven decision-making more accurate and efficient.

Now, why is this solution so important? Traditional AI projects often fail due to disconnected and outdated data. Businesses require real-time insights to make informed decisions, but batch processing methods lead to delays and inaccuracies. Tableflow ensures that operational data is continuously updated, eliminating inefficiencies in AI and analytics workflows.

One  of the key highlights of Tableflow is its ability to enhance AI readiness, the solution does it by:

• Providing a single source of truth – It ensures that operational data reaches analytics systems in real time.
• Supporting Apache Iceberg and Delta Lake – Enterprises can now represent Kafka topics as structured tables for seamless AI processing.
•  Integrating with key data services – Direct compatibility with AWS Glue Data Catalog and Snowflake Open Catalog streamlines data management.
  
• Offering flexible storage options – Businesses can use their own storage buckets for compliance and control.

Confluent has launched an Early Access Program for Delta Lake, allowing businesses to integrate real-time data with AI systems like Amazon SageMaker. Enterprises has also have the option to sign up for Confluent Cloud’s free trial to experience Tableflow firsthand.