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Spring Cloud Data Flow VS StreamSets Data Collector

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

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

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.
  • Spring Cloud Data Flow Landing page
    Landing page //
    2023-07-30
  • StreamSets Data Collector Landing page
    Landing page //
    2023-10-20

Spring Cloud Data Flow videos

+ Add

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

StreamSets Data Collector videos

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Data Pipeline Preview with StreamSets Data Collector

Category Popularity

0-100% (relative to Spring Cloud Data Flow and StreamSets Data Collector)

Spring Cloud Data Flow

StreamSets Data Collector

Big Data
62 62%
Big Data
38% 38
Data Management
55 55%
Data Management
45% 45
Stream Processing
56 56%
Stream Processing
44% 44
Tool
55 55%
Tool
45% 45

User comments

Share your experience with using Spring Cloud Data Flow and StreamSets Data Collector. For example, how are they different and which one is better?
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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.

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 4 years ago

StreamSets Data Collector mentions (0)

We have not tracked any mentions of StreamSets Data Collector yet. Tracking of StreamSets Data Collector recommendations started around Mar 2021.

What are some alternatives?

When comparing Spring Cloud Data Flow and StreamSets Data Collector, you can also consider the following products

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

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

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

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

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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

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