Apache Flink vs. Google Cloud Dataflow
Apache Flink vs. Google Cloud Dataflow
Product | Rating | Most Used By | Product Summary | Starting Price |
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Apache Flink | N/A | Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. And FlinkCEP is the Complex Event Processing (CEP) library implemented on top of Flink. Users can detect event patterns in streams of events. | N/A | |
Google Cloud Dataflow | N/A | Google offers Cloud Dataflow, a managed streaming analytics platform for real-time data insights, fraud detection, and other purposes. | N/A |
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Editions & Modules | No answers on this topic | No answers on this topic | ||||||||||||||
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Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
Additional Details | — | — | ||||||||||||||
More Pricing Information |
Apache Flink | Google Cloud Dataflow | |
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Top Pros | No answers on this topic | |
Top Cons |
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Streaming Analytics |
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Apache Flink | Google Cloud Dataflow | |
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Small Businesses | IBM Streams Score 9.0 out of 10 | IBM Streams Score 9.0 out of 10 |
Medium-sized Companies | Confluent Score 7.4 out of 10 | Confluent Score 7.4 out of 10 |
Enterprises | Spotfire Streaming Score 8.0 out of 10 | Spotfire Streaming Score 8.0 out of 10 |
All Alternatives | View all alternatives | View all alternatives |
Apache Flink | Google Cloud Dataflow | |
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Likelihood to Recommend | 9.0 (1 ratings) | 8.0 (1 ratings) |
Apache Flink | Google Cloud Dataflow | |
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Likelihood to Recommend | Apache | Google |
Pros | Apache | Google |
Cons | Apache | Google |
Alternatives Considered | Apache | Google |
Return on Investment | Apache | Google |
ScreenShots |