Event Processing
The best Event Processing Products based on votes, our collection of reviews, verified products and a total of 3 factors.
Best Event Processing Products in 2025
- Open-Source Event Processing products
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Advanced Apache Kafka UI for monitoring and analytics.
Key Kpow by Factor House features:
Multi-Cluster Monitoring Role-Based Access Control (RBAC) Schema Registry Management
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Clear, Fast & Unlimited. Residential & Mobile Proxies For Best Price.
Key ASocks features:
HTTP Socks5 ASN targeting Pay as you go
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Collaborative Kafka Development Platform.
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Lenses delivers DataOps for any Apache Kafka. With Lenses, engineers are more productive when building streaming applications on Kafka. .
Key Lenses.io features:
Comprehensive Kafka Management Real-time Data Observability SQL Support Integration Capabilities
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The Bring-Your-Computer Event Processing System.
Key BYCEPS features:
tournament system integrations custom websites attendees registration
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Condense is a real-time data streaming platform powered by managed Kafka. With BYOC deployment, prebuilt connectors, and custom workflows, it helps businesses build, scale, and manage applications efficiently while handling massive data securely.
Key Zeliot Condense features:
Real-Time Stream Processing Fully Managed Kafka Bring Your Own Cloud (BYOC) Prebuilt Connectors
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See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Key Datadog features:
Comprehensive Monitoring Integration Ecosystem Scalability Real-Time Data
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Leverage the complete open source ecosystem of extensions and tools to create highly-performant data pipelines for event-driven applications on all major clouds.
Key Aiven features:
Managed Services Multi-Cloud Support High Availability and Scalability Comprehensive Security Features
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Replicate data in minutes with prebuilt & custom connectors.
Key Airbyte features:
Open Source Extensible Connectors Community Support Custom Scripting
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Confluent offers a real-time data platform built around Apache Kafka.
Key Confluent features:
Scalability Real-Time Data Processing Comprehensive Ecosystem Ease of Use
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Clustering and highly scalable data distribution platform for Java.
Key Hazelcast features:
Scalability In-Memory Data Grid High Availability Ease of Use
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Redpanda is a powerful, yet simple, and cost-efficient streaming data platform that is compatible with Kafkaยฎ APIs while eliminating Kafka complexity.
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Confluent KSQL is the streaming SQL engine that enables real-time data processing against Apache Kafkaยฎ.
Key KSQL features:
Real-Time Stream Processing SQL-Like Syntax Integration with Kafka Scalability
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Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Key Apache Kafka features:
High Throughput Scalability Fault Tolerance Durability