Organizations are looking to event-based streaming platforms (ESP), such as Confluent, to utilize data continuously for both real-time analytics and to develop data driven services that rely on fresh, continuous data.

How can data teams get the full benefit from event-based architecture, without limiting themselves to a generic ESP platforms like Confluent and avoid the complexity of building a solution from scratch?

ESPs such as Confluent are generic solutions designed specifically for implementing streams-based integration patterns and architectures. They are mostly used for pub-sub type integration patterns. As such they are usually embedded into a broader data stack and complement other solutions. But who are Confluent competitors?

Smart DIH, a unified real-time data platform from GigaSpaces, utilizes even-streaming, integration, in-memory computing, and low code data access microservices to enable numerous low latency data-driven use cases.

Download the white paper “When ESP Platforms are not Enough for Real-time Analytics and Operational Workloads” to learn why a unified real-time data platform makes sense for your data stack. The white paper discusses:

• Solution scope evaluation
• Use case assessment and suitability
• Data mesh enablement

Fill in your details to download the White Paper