Compare Apache Flink vs. Talend Data Streams

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Apache Flink Logo
3,828 views|3,579 comparisons
Talend Data Streams Logo
475 views|423 comparisons
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Pricing and Cost Advice
"This is an open-source platform that can be used free of charge."

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Ranking
6th
out of 30 in Streaming Analytics
Views
3,828
Comparisons
3,579
Reviews
0
Average Words per Review
1,330
Avg. Rating
N/A
15th
out of 30 in Streaming Analytics
Views
475
Comparisons
423
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Popular Comparisons
Compared 24% of the time.
Compared 1% of the time.
Compared 17% of the time.
Compared 17% of the time.
Also Known As
Flink
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Talend
Overview

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.

Talend Data Streams makes streaming data ingestion and integration easier, faster, and more accessible. Plus, Talend Data Streams is built to run completely in the cloud, so no installation is required.
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Sample Customers
LogRhythm, Inc., Inter-American Development Bank, Scientific Technologies Corporation, LotLinx, Inc., Benevity, Inc.
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Top Industries
VISITORS READING REVIEWS
Computer Software Company37%
Media Company15%
Comms Service Provider12%
Retailer5%
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Find out what your peers are saying about Databricks, Solace, Microsoft and others in Streaming Analytics. Updated: October 2020.
441,850 professionals have used our research since 2012.
Apache Flink is ranked 6th in Streaming Analytics with 4 reviews while Talend Data Streams is ranked 15th in Streaming Analytics. Apache Flink is rated 7.8, while Talend Data Streams is rated 0.0. The top reviewer of Apache Flink writes "Scalable framework for stateful streaming aggregations". On the other hand, Apache Flink is most compared with Amazon Kinesis, Spring Cloud Data Flow, Google Cloud Dataflow, Azure Stream Analytics and Amazon MSK, whereas Talend Data Streams is most compared with Google Cloud Dataflow, Striim, Databricks and Apache Spark Streaming.

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