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Apache Flink Logo
6,676 views|5,355 comparisons
Striim Logo
524 views|378 comparisons
Top Review
Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: October 2021.
542,608 professionals have used our research since 2012.
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We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pricing and Cost Advice
"This is an open-source platform that can be used free of charge.""The solution is open-source, which is free.""Apache Flink is open source so we pay no licensing for the use of the software.""It's an open-source solution."

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Questions from the Community
Top Answer: The top feature of Apache Flink is its low latency for fast, real-time data. Another great feature is the real-time indicators and alerts which make a big difference when it comes to data processing… more »
Top Answer: Apache Flink is open source so we pay no licensing for the use of the software.
Top Answer: One way to improve Flink would be to enhance integration between different ecosystems. For example, there could be more integration with other big data vendors and platforms similar in scope to how… more »
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Ranking
4th
out of 38 in Streaming Analytics
Views
6,676
Comparisons
5,355
Reviews
9
Average Words per Review
1,217
Rating
7.7
15th
out of 38 in Streaming Analytics
Views
524
Comparisons
378
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
Flink
Striim Platform
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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.

The Striim platform makes it easy to ingest, process, and deliver real-time data across diverse environments in the cloud or on-premise, helping you rapidly adopt a modern data architecture. With Striim you can build streaming data pipelines to cloud environments - such as Microsoft Azure, Amazon AWS, and Google Cloud Platform - as well as Kafka, Hadoop, NoSQL and relational databases (on-premises or in the cloud) with reliability, security, and scalability.

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Sample Customers
LogRhythm, Inc., Inter-American Development Bank, Scientific Technologies Corporation, LotLinx, Inc., Benevity, Inc.
Sky, UPS, MACY'S, EMAAR, HSBC
Top Industries
VISITORS READING REVIEWS
Computer Software Company27%
Comms Service Provider19%
Media Company12%
Financial Services Firm10%
VISITORS READING REVIEWS
Computer Software Company30%
Comms Service Provider22%
Financial Services Firm11%
Energy/Utilities Company5%
Company Size
REVIEWERS
Small Business22%
Midsize Enterprise11%
Large Enterprise67%
No Data Available
Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: October 2021.
542,608 professionals have used our research since 2012.

Apache Flink is ranked 4th in Streaming Analytics with 9 reviews while Striim is ranked 15th in Streaming Analytics. Apache Flink is rated 7.6, while Striim 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, Azure Stream Analytics, Google Cloud Dataflow and SAP Event Stream Processor, whereas Striim is most compared with Confluent and Talend Data Streams.

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We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.