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
DATA LAKES & DATA WAREHOUSES
Apache Kafka
DATA STREAMS
Delta Lake
DATA LAKES & DATA WAREHOUSES
Google BigQuery
DATA LAKES & DATA WAREHOUSES
MongoDB
DATABASES
Salesforce
ENTERPRISE APPLICATIONS
Snowflake
DATA LAKES & DATA WAREHOUSES
Splunk
ENTERPRISE APPLICATIONS
Get engaged
Blogs
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