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IBM Streams VS StreamSets Data Collector

Compare IBM Streams VS StreamSets Data Collector and see what are their differences

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IBM Streams logo IBM Streams

The Age of Analytics has begun. When you need answers NOW, IBM Streams is your solution.

StreamSets Data Collector logo StreamSets Data Collector

The StreamSets Data Collector (SDC) is used to build, test and execute dataflow pipelines for data lake and multi-cloud data movement plus cybersecurity, IoT and customer 360 applications.
  • IBM Streams Landing page
    Landing page //
    2021-10-19
  • StreamSets Data Collector Landing page
    Landing page //
    2023-10-20

IBM Streams videos

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Acquire, Analyze and Act in Real Time with IBM Streams

StreamSets Data Collector videos

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Data Pipeline Preview with StreamSets Data Collector

Category Popularity

0-100% (relative to IBM Streams and StreamSets Data Collector)

IBM Streams

StreamSets Data Collector

Data Integration
100 100%
Data Integration
0% 0
Stream Processing
33 33%
Stream Processing
67% 67
Data Management
37 37%
Data Management
63% 63
Big Data
0 0%
Big Data
100% 100

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What are some alternatives?

When comparing IBM Streams and StreamSets Data Collector, you can also consider the following products

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

TIBCO BusinessEvents - In the emerging digital world, billions of people, systems, and devices will interact in real-time, suggesting new and disruptive competitive advantages.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!

Spark Streaming - Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

Apache Camel - Apache Camel is a versatile open-source integration framework based on known enterprise integration patterns.

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