Compare Apache Storm vs. Google Cloud Dataflow

Apache Storm is ranked 4th in Compute Service while Google Cloud Dataflow is ranked 4th in Streaming Analytics. Apache Storm is rated 0, while Google Cloud Dataflow is rated 0. On the other hand, Apache Storm is most compared with Apache NiFi, AWS Lambda and Azure Stream Analytics, whereas Google Cloud Dataflow is most compared with Apache NiFi, Apache Spark and Amazon Kinesis.
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Apache Storm Logo
1,764 views|1,556 comparisons
Google Cloud Dataflow Logo
2,361 views|2,079 comparisons
Ranking
4th
out of 8 in Compute Service
Views
1,764
Comparisons
1,556
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
4th
out of 25 in Streaming Analytics
Views
2,361
Comparisons
2,079
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 38% of the time.
Compared 18% of the time.
Compared 29% of the time.
Also Known As
Google Dataflow
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Apache
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Overview
Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple and can be used with any programming language.Google Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.
Offer
Learn more about Apache Storm
Learn more about Google Cloud Dataflow
Sample Customers
Information Not Available
Absolutdata, Backflip Studios, Bluecore, Claritics, Crystalloids, Energyworx, GenieConnect, Leanplum, Nomanini, Redbus, Streak, TabTale
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