Software Alternatives & Reviews

Confluent

Confluent offers a real-time data platform built around Apache Kafka.

Confluent Alternatives

The best Confluent alternatives based on verified products, community votes, reviews and other factors.
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  1. 41

    Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

  2. 26

    Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

  3. 23

    Azure Stream Analytics offers real-time stream processing in the cloud.

  4. 14

    Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

  5. 15

    Seamless two-way sync between your CRM, marketing apps and Google in no time

  6. 21

    Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

  7. 17

    Easily visualize data pushed into Elasticsearch from Logstash, es-hadoop or 3rd party technologies...

  8. 13

    TIBCO Spotfire is a Business Intelligence (BI) solution that provides users with executive dashboards, data visualization, data analytics and KPIs push to mobile devices.

  9. 16

    Learn about Azure Event Hubs, a managed service that can ingest and process massive data streams from websites, apps, or devices.

  10. 13

    Cloud Pub/Sub is a flexible, reliable, real-time messaging service for independent applications to publish & subscribe to asynchronous events.

  11. 14

    Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud.

  12. Lenses delivers DataOps for any Apache Kafka. With Lenses, engineers are more productive when building streaming applications on Kafka.

    freemium $49.0 / Monthly

  13. 12

    Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

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Author: | Publisher: SaaSHub
Categories: Stream Processing, Big Data, Data Management