Top 10 Amazon Kinesis Data Streams Alternatives & Competitors

Top 10 Alternatives to Amazon Kinesis Data Streams Recently Reviewed By G2 Community

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Confluent
By Confluent
4.4/5
(113)
Product Description
A stream data platform.
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Reviewers say compared to Amazon Kinesis Data Streams, Confluent is:
Slower to reach roi
More expensive
More usable
Categories in common with Amazon Kinesis Data Streams:
Event Stream Processing
Stream Analytics

Apache Kafka
By The Apache Software Foundation
4.5/5
(126)
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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Reviewers say compared to Amazon Kinesis Data Streams, Apache Kafka is:
More usable
Categories in common with Amazon Kinesis Data Streams:
Event Stream Processing
Stream Analytics

Google Cloud Dataflow
By Google
4.2/5
(44)
Product Description
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness.
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Reviewers say compared to Amazon Kinesis Data Streams, Google Cloud Dataflow is:
Easier to do business with
More expensive
Categories in common with Amazon Kinesis Data Streams:
Event Stream Processing
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Google Cloud Pub/Sub
By Google
4.5/5
(37)
Product Description
Google's Cloud Pub/Sub is a simple, reliable, scalable foundation for stream analytics and event-driven computing systems.
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Reviewers say compared to Amazon Kinesis Data Streams, Google Cloud Pub/Sub is:
Easier to set up
More usable
Easier to do business with
Categories in common with Amazon Kinesis Data Streams:
Stream Analytics

Apache Flink
By The Apache Software Foundation
4.3/5
(16)
Product Description
Apache Flink is an open-source stream processing framework for distributed, high-performing, always-available, and accurate data streaming applications.
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Reviewers say compared to Amazon Kinesis Data Streams, Apache Flink is:
Better at meeting requirements
More usable
Categories in common with Amazon Kinesis Data Streams:
Stream Analytics

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 Amazon Kinesis Data Streams, Azure Event Hubs is:
Better at support
Better at meeting requirements
More usable
Categories in common with Amazon Kinesis Data Streams:
Stream Analytics

Spotfire Analytics
By Spotfire
4.2/5
(363)
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 Amazon Kinesis Data Streams, Spotfire Analytics is:
Slower to reach roi
More expensive
Categories in common with Amazon Kinesis Data Streams:
Stream Analytics

HubSpot Data Hub
By HubSpot
4.5/5
(569)
Product Description
HubSpot Operations Hub allows you to keep all your contacts in 2-Way, Real Time Sync no matter if you use (Gmail/Outlook, Salesforce, Pipedrive, Constant Contact, Prosperworks, HubSpot, MailChimp or ActiveCampaign to name a few).
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Reviewers say compared to Amazon Kinesis Data Streams, HubSpot Data Hub is:
Slower to reach roi
Easier to do business with
Easier to admin
Categories in common with Amazon Kinesis Data Streams:
Stream Analytics

Aiven for Apache Kafka
By Aiven
4.3/5
(239)
Product Description
Aiven for Apache Kafka is a fully managed streaming platform, deployable in the cloud of your choice. Snap it into your existing workflows with the click of a button, automate away the mundane tasks, and focus on building your core apps.
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Reviewers say compared to Amazon Kinesis Data Streams, Aiven for Apache Kafka is:
Slower to reach roi
Easier to do business with
More usable
Categories in common with Amazon Kinesis Data Streams:
Event Stream Processing

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• Own your own software buying journey
• Discover exclusive deals on software

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