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StreamSets Data Collector VS Radicalbit

Compare StreamSets Data Collector VS Radicalbit and see what are their differences

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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.

Radicalbit logo Radicalbit

Event Stream Processing
  • StreamSets Data Collector Landing page
    Landing page //
    2023-10-20
  • Radicalbit Landing page
    Landing page //
    2023-10-08

StreamSets Data Collector videos

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Data Pipeline Preview with StreamSets Data Collector

Radicalbit videos

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Data intensive applications with Apache Flink - Simone Robutti, Radicalbit

Category Popularity

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

StreamSets Data Collector

Radicalbit

Data Management
52 52%
Data Management
48% 48
Stream Processing
52 52%
Stream Processing
48% 48
Big Data
52 52%
Big Data
48% 48
Tool
100 100%
Tool
0% 0

User comments

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What are some alternatives?

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

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

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

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

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

Striim - Striim provides an end-to-end, real-time data integration and streaming analytics platform.

Lenses - Discover our high quality range of over 40 interchangeable camera lenses including A-mount and E-mount lenses crafted for a range of shooting situations.

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