Software Alternatives & Reviews

Radicalbit VS Spring Cloud Data Flow

Compare Radicalbit VS Spring Cloud Data Flow and see what are their differences

Radicalbit logo Radicalbit

Event Stream Processing

Spring Cloud Data Flow logo 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.
  • Radicalbit Landing page
    Landing page //
    2023-10-08
  • Spring Cloud Data Flow Landing page
    Landing page //
    2023-07-30

Radicalbit videos

Data intensive applications with Apache Flink - Simone Robutti, Radicalbit

Spring Cloud Data Flow videos

Orchestrate All the Things! with Spring Cloud Data Flow - Eric Bottard & Ilayaperumal Gopinathan

More videos:

  • Review - Demo: Partitioning Batch jobs with Spring Cloud Data Flow & Task
  • Demo - 3 min demo: Spring Cloud Data Flow Metrics

Category Popularity

0-100% (relative to Radicalbit and Spring Cloud Data Flow)
Data Management
47 47%
53% 53
Big Data
42 42%
58% 58
Stream Processing
50 50%
50% 50

User comments

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Social recommendations and mentions

Based on our record, Spring Cloud Data Flow seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Radicalbit mentions (0)

We have not tracked any mentions of Radicalbit yet. Tracking of Radicalbit recommendations started around Mar 2021.

Spring Cloud Data Flow mentions (1)

  • Dataflow, a self-hosted Observable Notebook Editor
    And a Cloudera project: https://www.cloudera.com/products/cdf.html And an Azure feature: https://docs.microsoft.com/en-us/azure/data-factory/control-flow-execute-data-flow-activity And a Spring feature: https://spring.io/projects/spring-cloud-dataflow. - Source: Hacker News / almost 3 years ago

What are some alternatives?

When comparing Radicalbit and Spring Cloud Data Flow, 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.

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.