🌊 Stream Processing
Tools for processing and managing real-time data streams.
The best Stream Processing Products based on votes, our collection of reviews, verified products and a total of 527 factors
Top Stream Processing Products
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/hangfire-alternatives
An easy way to perform background processing in .NET and .NET Core applications.
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/apache-qpid-alternatives
Apache Qpid makes messaging tools that speak AMQP and support many languages and platforms.
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/resque-alternatives
Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.
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/azure-event-hubs-alternatives
Learn about Azure Event Hubs, a managed service that can ingest and process massive data streams from websites, apps, or devices.
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/atlas-energy-monitoring-system-alternatives
AtlasEVO Energy Management & Energy Monitoring Systems. Collect and analyse energy usage data (electric, gas, water etc) from any number of metering points.
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/google-cloud-dataflow-alternatives
Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
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/airflow-alternatives
Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
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/apache-storm-alternatives
Apache Storm is a free and open source distributed realtime computation system.
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/amazon-elasticsearch-service-alternatives
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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/tibco-spotfire-alternatives
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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/leo-platform-alternatives
Leo enables teams to innovate faster by providing visibility and control for data streams.
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/kibana-alternatives
Easily visualize data pushed into Elasticsearch from Logstash, es-hadoop or 3rd party technologies...
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/nanomsg-alternatives
nanomsg is a socket library that provides several common communication patterns.