Confluent launches OEM program for faster real-time enterprise data streaming

Confluent has launched an OEM program that targets managed service providers (MSPs), cloud service providers (CSPs), and independent software vendors (ISVs).

The program offers them the ability to embed and globally redistribute Confluent’s platform, to provide businesses with real-time data streaming capabilities.

Confluent's platform is built on Apache Kafka and Apache Flink.

It is designed to bring real-time products to market quickly, tapping into the growing demand for data streaming solutions.

Partners can license to globally redistribute or embed Confluent’s enterprise-grade platform, to bring real-time products and Kafka offerings to market faster.

They can also easily monetise customer demand for data streaming with limited risk. 

Data streaming has become a critical business requirement as real-time experiences now drive operational efficiency and competitive advantage across industries.

ISG Software Research estimates that more than three-quarters of enterprise information architectures will include streaming data by 2026.

MSPs, CSPs, and ISVs face increased demand from customers to provide real-time services that leverage data streaming for digital transformation.

Open-source technologies like Kafka and Flink have been the go-to solutions for businesses, but managing them at scale can be complex and costly.

Confluent's platform eliminates many of these challenges by offering an enterprise-grade, easy-to-use solution that reduces the cost and complexity of deploying real-time data streaming.

For example, businesses attempting to self-manage Kafka can take more than two years to reach production scale, with development costs running into millions of dollars annually.

By using Confluent’s OEM program, partners can avoid these pitfalls, enabling faster time to market and more efficient operations.

The platform comes with pre-built connectors, stream processing, advanced security controls, and automated monitoring—all essential to delivering a successful data streaming solution.

One standout feature is Confluent’s ability to scale elastically, ensuring businesses can manage fluctuating demand without risking downtime.

With tiered storage, businesses can store infinite amounts of data in Kafka while keeping costs down by separating storage from compute.

Confluent's data streaming platform also supports Kubernetes environments, offering automated deployments across various cloud or on-premises infrastructures.

This complete set of tools makes it easier for businesses to provide real-time experiences, such as streaming analytics, with minimal investment and reduced risk.

Confluent has logged over one million Kafka development hours, bringing deep expertise to partners and ensuring smooth implementation across industries.

The platform’s advanced monitoring tools help businesses prevent disruptions and improve overall customer satisfaction.