Confluent makes it easy to gain real-time insights by moving from batch to streaming ETL through scalable, performant, and cloud-native data pipelines. Ingest, aggregate, and transform data streams in-flight from any system, application, or device at any scale and across any environment, to power real-time analytics use cases.
Today, the number of mission-critical applications and data systems within a business has grown exponentially, generating a massive volume of data that is challenging to process and prepare for downstream analytics systems to derive timely insights. While the uses and needs for data have changed, most organizations’ underlying infrastructure have not and struggle to meet today’s ever-growing demands. Organizations still use batch-oriented extract, transform, load (ETL) tools as a core component of their data integration stack. However, the need for timely, immediate insights means the high latency between gathering data, transforming the data to be consumable, and preparing it for analysis must be addressed.
Confluent enables simple, scalable data streaming pipelines with 120+ pre-built connectors for real-time integration between source and destination systems, in-flight processing of data streams with ksqlDB, and a robust set of security, governance, and resiliency features to meet enterprise requirements for distributed mission-critical workloads. Confluent also enables customers to go beyond just real-time integration between data systems, supporting real-time stream processing and analysis to power real-time decision making and modern applications.
Modernize the way you ingest, transform, and load data, even when they are coming from hundreds of sources at seemingly unimaginable volumes. Reliably deliver the right slices of always up-to-date data, to the right systems and applications, the millisecond it’s created.
Enable high-performance, real-time data pipelines at scale across all of your environments – hybrid, multicloud, or on-prem.
Minimize total cost of ownership (TCO) for ETL workloads by decreasing infrastructure requirements and offloading the operational burden to a fully managed, cloud-native service.
Unlock new business insights in real-time by transforming and enriching your data while in transit and flexibly forwarding it to long term archival or other analytics destinations.
Confluent enables simple, scalable, and high performance data streaming pipelines with 120+ pre-built connectors for real-time integration between source and destination systems, in-flight processing of data streams with ksqlDB, and a robust set of security, governance, and resiliency features to meet enterprise requirements for distributed mission-critical workloads.
Access our extensive library of 120+ ready-to-use connectors to easily integrate with data warehouses, data lakes, databases and other apps and data systems.
Build materialized views, aggregations, and transformations with simple SQL queries to enrich your data while reducing processing times from hours/minutes to milliseconds.
Securely link all your environments together with a persistent bridge to create a consistent, real-time view of all your distributed data.
Eliminate the operational burden of running your own infrastructure by leveraging a fully managed service in Confluent Cloud. With serverless provisioning and scaling, no-touch upgrades, and a guaranteed 99.99% uptime SLA, never manually configure, provision, or deprovision a VM again.
Discover, understand, and classify your data streams with Stream Catalog, Stream Quality and Stream Lineage, while offloading the management to Confluent. Easily explore and trust your data streams with the industry’s first governance solution purpose-built for data in motion.
Rest assured that your data is secure and protected on Confluent with Role-Based Access Control, Audit Logs, and Secret Protection. Confluent designs products with security at top-of-mind, ensuring all of your streaming data is secure by default.
Getting started is easy. Use real-time data to produce real-time results with Confluent today.
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