Confluent
Confluent offers a real-time data platform built around Apache Kafka.
Some of the top features or benefits of Confluent are: Scalability, Real-Time Data Processing, Comprehensive Ecosystem, Ease of Use, Managed Service Option, Advanced Security Features, and Strong Customer Support. You can visit the info page to learn more.
- Open Source
- Official Pricing
Best Confluent Alternatives & Competitors in 2024
The best Confluent alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
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Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
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Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
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Azure Stream Analytics offers real-time stream processing in the cloud.
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Seamless two-way sync between your CRM, marketing apps and Google in no time
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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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Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
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Cloud Pub/Sub is a flexible, reliable, real-time messaging service for independent applications to publish & subscribe to asynchronous events.
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MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.
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TIBCO Spotfire is a Business Intelligence (BI) solution that provides users with executive dashboards, data visualization, data analytics and KPIs push to mobile devices.
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Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.
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Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud.
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Learn about Azure Event Hubs, a managed service that can ingest and process massive data streams from websites, apps, or devices.