Best Message-Oriented Middleware for InsightFinder

Compare the Top Message-Oriented Middleware that integrates with InsightFinder as of October 2024

This a list of Message-Oriented Middleware that integrates with InsightFinder. Use the filters on the left to add additional filters for products that have integrations with InsightFinder. View the products that work with InsightFinder in the table below.

What is Message-Oriented Middleware for InsightFinder?

Message-oriented middleware (MOM) is software that provides an interoperable interface between multiple applications. It enables applications to communicate with one another, regardless of their underlying technologies. Applications using MOM can send and receive messages across a variety of networks and transport protocols such as HTTP, TCP/IP, and SMTP. These messages can be either synchronous or asynchronous, allowing for real-time interactions or delayed messaging without the need for complex programming code. MOM also facilitates remote access through a centralized system making it easier to manage in distributed environments. Additionally, since it is independent of the application architecture, MOM offers increased flexibility when integrating different platforms together. Compare and read user reviews of the best Message-Oriented Middleware for InsightFinder currently available using the table below. This list is updated regularly.

  • 1
    Apache Kafka

    Apache Kafka

    The Apache Software Foundation

    Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages.
  • 2
    Google Cloud Pub/Sub
    Google Cloud Pub/Sub. Scalable, in-order message delivery with pull and push modes. Auto-scaling and auto-provisioning with support from zero to hundreds of GB/second. Independent quota and billing for publishers and subscribers. Global message routing to simplify multi-region systems. High availability made simple. Synchronous, cross-zone message replication and per-message receipt tracking ensure reliable delivery at any scale. No planning, auto-everything. Auto-scaling and auto-provisioning with no partitions eliminate planning and ensures workloads are production-ready from day one. Advanced features, built in. Filtering, dead-letter delivery, and exponential backoff without sacrificing scale help simplify your applications. A fast, reliable way to land small records at any volume, an entry point for real-time and batch pipelines feeding BigQuery, data lakes and operational databases. Use it with ETL/ELT pipelines in Dataflow.
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