Don’t work off outdated data in your data warehouse. Build streaming data pipelines to scale streaming and in-flight processing. Make your data organized and accessible so that analytics systems and data-dependent teams can innovate on the most up-to-date information.
Maintain high-fidelity data that’s continuously flowing, evolving, and being processed with real-time data streaming and in-flight processing.
Deliver ready-to-use, trustworthy data as a product to your teams by shaping it into multiple contexts on the fly and enabling self-service search and discoverability.
Reduce the complexity of data integration and the risk of downtime or data loss with a fully managed cloud-native service and an incremental, cost-effective cloud migration strategy.
From batch ETL with a 1-day delay to building streaming data pipelines, learn how Vimeo uses Confluent Cloud to unlock real-time analytics and observability, to optimize experiences for over 260 million users.
"With Confluent, every team, every microservice, every system can continuously act and react on the most up-to-date, enriched view of data the moment it's created, enabling us to meet the real-time needs of our customers."
Lucas Viecelli, Database Reliability Engineer
“The business case for doing [streaming] is compelling. Based on our testing and projections, we expect at least 10x ROI over 3 years for this investment.”
Bob Pearman, Head of Data and Analytics
"[With Confluent], our machine learning developers and data scientists can now start to think about and work on in-stream data analysis and real-time models."
Dima Kalashnikov, Technical Lead
From APIs to drag-and-drop UI, fully managed connectors, change data capture (CDC), and continuous SQL-based processing, Confluent simplifies building streaming pipelines to cloud data warehouses. Unlock real-time data for your developers while paving a path to cloud migration and transformation for your IT teams.
Use Cluster Linking and any of the 120+ pre-built connectors to stream data from hybrid and multicloud sources to cloud data warehouses like Snowflake, Redshift, Synapse, BigQuery, and more. Migrate workloads from on-premises systems like Teradata or Cloudera at your own pace while providing teams with consistent, real-time data for analysis.
Build real-time views of your business metrics at scale. Use native stream processing to continuously join, enrich, and aggregate numerous data streams in-flight and optimize their treatment before they land in cloud data warehouses.
Apply governance across your streaming data to meet internal and external compliance while ensuring data quality for your cloud data warehouse. Spend less time wondering if you are looking at trustworthy data and more time building real-time analytics to drive insights for your business.