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Spring Cloud Data Flow VS Eventador Fully Managed Apache Kafka

Compare Spring Cloud Data Flow VS Eventador Fully Managed Apache Kafka 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.

Eventador Fully Managed Apache Kafka logo Eventador Fully Managed Apache Kafka

Building and managing Kafka and Flink-based streaming data pipelines using SQL has never been this easy and powerful.
  • Spring Cloud Data Flow Landing page
    Landing page //
    2023-07-30
  • Eventador Fully Managed Apache Kafka Landing page
    Landing page //
    2023-04-17

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

Eventador Fully Managed Apache Kafka videos

No Eventador Fully Managed Apache Kafka videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Spring Cloud Data Flow and Eventador Fully Managed Apache Kafka)

Spring Cloud Data Flow

Eventador Fully Managed Apache Kafka

Big Data
70 70%
Big Data
30% 30
Data Management
59 59%
Data Management
41% 41
Stream Processing
59 59%
Stream Processing
41% 41
Tool
100 100%
Tool
0% 0

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.

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 / about 4 years ago

Eventador Fully Managed Apache Kafka mentions (0)

We have not tracked any mentions of Eventador Fully Managed Apache Kafka yet. Tracking of Eventador Fully Managed Apache Kafka recommendations started around Mar 2021.

What are some alternatives?

When comparing Spring Cloud Data Flow and Eventador Fully Managed Apache Kafka, you can also consider the following products

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

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.

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

Leo Platform - Leo enables teams to innovate faster by providing visibility and control for data streams.

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

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