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Key tenets of a streaming architecture diagram

Cloudera Data in Motion is a modern approach to data pipelines powered by Apache NiFi, Kafka, and Flink SQL.

These low-code data services enable universal data distribution by giving developers a complete end-to-end set of capabilities to collect, process, and distribute any data, anywhere—streamlining architecture and driving agility.

DATAFLOW

Technology Spotlight: Announcing Cloudera DataFlow Designer.


Self-service data pipeline development and deployment


Accelerated testing with immediate feedback on test flows


Push-button deployment

Cloudera DataFlow Designer Demo: Kafka to Iceberg in Cloudera Data Warehouse


Learn how to use the new Cloudera DataFlow Designer to build a streaming data pipeline that ingests events from Kafka into Iceberg tables.

Tour DataFlow Designer

Check out DataFlow Designer’s self-service, no-code UI that lets you quickly
build and validate new data flows.

Universal connectivity

Cloudera DataFlow offers universal connectivity to any system through purpose-built connectors for data streams, databases, data lakes & data warehouses, enterprise applications, and file systems as well as generic connectors leveraging industry standard protocols such as HTTP, Syslog, UDP, TCP, and more. 

FEATURED CONNECTORS

Apache Iceberg logo

Apache Iceberg

DATA LAKES & DATA WAREHOUSES

Apache Kafka logo

Apache Kafka

DATA STREAMS

Delta Lake logo

Delta Lake

DATA LAKES & DATA WAREHOUSES

Google BigQuery logo

Google BigQuery

DATA LAKES & DATA WAREHOUSES

MongoDB logo

MongoDB

DATABASES

Salesforce logo

Salesforce

ENTERPRISE APPLICATIONS

Snowflake logo

Snowflake

DATA LAKES & DATA WAREHOUSES

Splunk logo

Splunk

ENTERPRISE APPLICATIONS

Meet the NiFi Committers

Hear from the original Apache NiFi's co-creators—Joe Witt, Mark Payne, and Matt Gilman—in an on-demand webinar that discusses Cloudera DataFlow and highlights new features and evolutions in the community, including NiFi 2.0 and native Python integration.

Documentation

Resources and guides to get you started

 

 
Get the Stream Processing Community Edition

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