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Radicalbit VS StreamSets Data Collector

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

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Radicalbit logo Radicalbit

Event Stream Processing

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 Landing page
    Landing page //
    2023-10-08
  • StreamSets Data Collector Landing page
    Landing page //
    2023-10-20

Radicalbit videos

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Data intensive applications with Apache Flink - Simone Robutti, Radicalbit

StreamSets Data Collector videos

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Data Pipeline Preview with StreamSets Data Collector

Category Popularity

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

Radicalbit

StreamSets Data Collector

Stream Processing
42 42%
Stream Processing
58% 58
Big Data
44 44%
Big Data
56% 56
Data Management
47 47%
Data Management
53% 53

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What are some alternatives?

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

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

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

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

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.

Spring Cloud Data Flow - Spring Cloud Data Flow is a platform capable of stream and batch data pipelines having the tools to create delicate topologies.

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