Compare Amazon MSK vs. Software AG Apama

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Amazon MSK Logo
3,278 views|3,179 comparisons
Software AG Apama Logo
568 views|439 comparisons
Ranking
9th
out of 32 in Streaming Analytics
Views
3,278
Comparisons
3,179
Reviews
0
Average Words per Review
0
Rating
N/A
16th
out of 32 in Streaming Analytics
Views
568
Comparisons
439
Reviews
0
Average Words per Review
0
Rating
N/A
Find out what your peers are saying about Databricks, Solace, Amazon and others in Streaming Analytics. Updated: February 2021.
464,655 professionals have used our research since 2012.
Popular Comparisons
Also Known As
Amazon Managed Streaming for Apache Kafka
Progress Apama
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Overview

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that enables you to build and run applications that use Apache Kafka to process streaming data. Amazon MSK provides the control-plane operations, such as those for creating, updating, and deleting clusters.

Enables both sell-side and buy-side traders to leverage proprietary trading strategies.
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Learn more about Amazon MSK
Learn more about Software AG Apama
Sample Customers
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Okasan Online Securities
Top Industries
VISITORS READING REVIEWS
Computer Software Company27%
Media Company17%
Comms Service Provider16%
Financial Services Firm9%
No Data Available
Find out what your peers are saying about Databricks, Solace, Amazon and others in Streaming Analytics. Updated: February 2021.
464,655 professionals have used our research since 2012.

Amazon MSK is ranked 9th in Streaming Analytics while Software AG Apama is ranked 16th in Streaming Analytics. Amazon MSK is rated 0.0, while Software AG Apama is rated 0.0. On the other hand, Amazon MSK is most compared with Confluent, Amazon Kinesis, Azure Stream Analytics, Apache Flink and Google Cloud Dataflow, whereas Software AG Apama is most compared with Apache Spark Streaming, Apache Flink, TIBCO Streambase CEP and IBM MQ.

See our list of best Streaming Analytics vendors.

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.