Top 10 Google Cloud Pub/Sub Alternatives & Competitors

Top 10 Alternatives to Google Cloud Pub/Sub Recently Reviewed By G2 Community

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Apache Kafka
By The Apache Software Foundation
4.5/5
(131)
Product Description
Apache Kafka is an open-source distributed event streaming platform developed by the Apache Software Foundation. It is designed to handle real-time data feeds with high throughput and low latency, making it ideal for building data pipelines, streaming analytics, and integrating data across various systems. Kafka enables organizations to publish, store, and process streams of records in a fault-tolerant and scalable manner, supporting mission-critical applications across diverse industries. Key Features and Functionality: - High Throughput and Low Latency: Kafka delivers messages at network-limited throughput with latencies as low as 2 milliseconds, ensuring efficient data processing. - Scalability: It can scale production clusters up to thousands of brokers, handling trillions of messages per day and petabytes of data, while elastically expanding and contracting storage and processing capabilities. - Durable Storage: Kafka stores streams of data safely in a distributed, durable, and fault-tolerant cluster, ensuring data integrity and availability. - High Availability: The platform supports efficient stretching of clusters over availability zones and connects separate clusters across geographic regions, enhancing resilience. - Stream Processing: Kafka provides built-in stream processing capabilities through the Kafka Streams API, allowing for operations like joins, aggregations, filters, and transformations with event-time processing and exactly-once semantics. - Connectivity: With Kafka Connect, it integrates seamlessly with hundreds of event sources and sinks, including databases, messaging systems, and cloud storage services. Primary Value and Solutions Provided: Apache Kafka addresses the challenges of managing real-time data streams by offering a unified platform that combines messaging, storage, and stream processing. It enables organizations to: - Build Real-Time Data Pipelines: Facilitate the continuous flow of data between systems, ensuring timely and reliable data delivery. - Implement Streaming Analytics: Analyze and process data streams in real-time, allowing for immediate insights and actions. - Ensure Data Integration: Seamlessly connect various data sources and sinks, promoting a cohesive data ecosystem. - Support Mission-Critical Applications: Provide a robust and fault-tolerant infrastructure capable of handling high-volume and high-velocity data, essential for critical business operations. By leveraging Kafka's capabilities, organizations can modernize their data architectures, enhance operational efficiency, and drive innovation through real-time data processing and analytics.
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Categories in common with Google Cloud Pub/Sub:
Message Queue (MQ)
Stream Analytics

MuleSoft Anypoint Platform
By Salesforce
4.5/5
(733)
Product Description
Anypoint Platform™ is a complete platform that lets companies realize business transformation through API-led connectivity. It is is a unified, flexible integration platform that solves the most challenging connectivity problems across SOA, SaaS and APIs.
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Reviewers say compared to Google Cloud Pub/Sub, MuleSoft Anypoint Platform is:
More expensive
Easier to admin
Categories in common with Google Cloud Pub/Sub:
Message Queue (MQ)

IBM MQ
By IBM
4.3/5
(174)
Product Description
IBM® MQ, formerly WebSphere MQ, is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms. It uses message queues to exchange information and offers a single messaging solution for cloud, on premise, mobile and IoT environments. By connecting virtually everything, from a simple pair of applications to the most complex business environments, it improves responsiveness, controls costs, reduces risk and provides real-time insight from data. It is available in a standard edition, an advanced edition, as an appliance and in a z/OS version.
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Reviewers say compared to Google Cloud Pub/Sub, IBM MQ is:
More expensive
Easier to admin
Categories in common with Google Cloud Pub/Sub:
Message Queue (MQ)

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Amazon Kinesis Data Streams
By Amazon Web Services (AWS)
4.3/5
(90)
Product Description
Amazon Kinesis Data Streams is a serverless streaming data service that makes it easy to capture, process, and store data streams at any scale.
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Reviewers say compared to Google Cloud Pub/Sub, Amazon Kinesis Data Streams is:
More expensive
Easier to admin
Categories in common with Google Cloud Pub/Sub:
Stream Analytics

RabbitMQ
By Broadcom
4.1/5
(47)
Product Description
Messaging that just works
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Reviewers say compared to Google Cloud Pub/Sub, RabbitMQ is:
Easier to admin
Categories in common with Google Cloud Pub/Sub:
Message Queue (MQ)

Amazon MQ
By Amazon Web Services (AWS)
3.6/5
(18)
Product Description
Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud.
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Reviewers say compared to Google Cloud Pub/Sub, Amazon MQ is:
Easier to admin
More expensive
Categories in common with Google Cloud Pub/Sub:
Message Queue (MQ)

Apache ActiveMQ
By The Apache Software Foundation
4.3/5
(16)
Product Description
Apache ActiveMQ is a popular and powerful open source messaging and Integration Patterns server.
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Reviewers say compared to Google Cloud Pub/Sub, Apache ActiveMQ is:
More usable
Categories in common with Google Cloud Pub/Sub:
Message Queue (MQ)

Azure Event Hubs
By Microsoft
4.2/5
(13)
Product Description
Azure Event Hubs is a scalable data streaming platform and event ingestion service, capable of receiving and processing millions of events per second. Event Hubs processes and stores events, data, or telemetry produced by distributed software and devices.
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Reviewers say compared to Google Cloud Pub/Sub, Azure Event Hubs is:
Better at support
Categories in common with Google Cloud Pub/Sub:
Stream Analytics

Spotfire Analytics
By Spotfire
4.2/5
(362)
Product Description
Self-service data discovery. Fastest to actionable insight. Collaborative, predictive, event-driven data analysis - free from IT.
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Reviewers say compared to Google Cloud Pub/Sub, Spotfire Analytics is:
More expensive
Categories in common with Google Cloud Pub/Sub:
Stream Analytics