Top 10 Apache Flink Alternatives & Competitors

Top 10 Alternatives to Apache Flink Recently Reviewed By G2 Community

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spring.io
By Broadcom
4.5/5
(317)
Product Description
The Spring Framework is an application framework and inversion of control container for the Java platform.
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Reviewers say compared to Apache Flink, spring.io is:
More expensive
Better at support
Categories in common with Apache Flink:
Java Web Frameworks

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 Apache Flink, Amazon Kinesis Data Streams is:
More expensive
Better at support
Categories in common with Apache Flink:
Stream Analytics

IBM StreamSets
By IBM
4/5
(116)
Product Description
StreamSets DataOps Platform is an end-to-end data engineering platform to design, deploy, operate and optimize data pipelines to deliver continuous data. StreamSets offers a single pane of glass for batch, streaming, CDC, ETL and ML pipelines with built-in data drift protection for full transparency and control across hybrid, on-premise and multi-cloud environments.
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Reviewers say compared to Apache Flink, IBM StreamSets is:
More expensive
Categories in common with Apache Flink:
Stream Analytics
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HubSpot Data Hub
By HubSpot
4.5/5
(570)
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 Apache Flink, HubSpot Data Hub is:
More expensive
Better at support
More usable
Categories in common with Apache Flink:
Stream Analytics

Tealium Customer Data Hub
By Tealium
4.3/5
(411)
Product Description
Tealium AudienceStream™ is the market-leading Customer Data Platform, combining robust audience management and data enrichment capabilities resulting in unified customer profiles and the ability to take immediate, relevant action.
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Reviewers say compared to Apache Flink, Tealium Customer Data Hub is:
More expensive
Better at support
Categories in common with Apache Flink:
Stream Analytics

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 Apache Flink, Google Cloud Pub/Sub is:
More expensive
Better at support
More usable
Categories in common with Apache Flink:
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 Apache Flink, Azure Event Hubs is:
More expensive
Better at support
Categories in common with Apache Flink:
Stream Analytics

Confluent
By Confluent
4.4/5
(113)
Product Description
A stream data platform.
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Reviewers say compared to Apache Flink, Confluent is:
More expensive
Categories in common with Apache Flink:
Stream Analytics

Elastic Stack
By Elastic
4.5/5
(95)
Product Description
The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data. - Kibana: An extensible user interface that provides powerful visualizations, dashboards, and management tools to interpret and present data effectively. - Beats and Logstash: Data ingestion tools that collect and process data from various sources, transforming and forwarding it to Elasticsearch for indexing. - Integrations: A multitude of pre-built integrations that facilitate seamless data collection and connection with the Elastic Stack, enabling quick insights. Primary Value and User Solutions: The Elastic Stack empowers organizations to harness the full potential of their data by providing a scalable and resilient platform for real-time search and analytics. It addresses challenges such as managing large datasets, ensuring high availability, and delivering relevant search results swiftly. By offering a unified solution for data ingestion, storage, analysis, and visualization, the Elastic Stack enables users to gain actionable insights, enhance operational efficiency, and make informed decisions based on their data.
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Reviewers say compared to Apache Flink, Elastic Stack is:
More expensive
Categories in common with Apache Flink:
Stream Analytics

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