Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • groundcover Reviews & Ratings
    32 Ratings
    Company Website
  • DataBuck Reviews & Ratings
    6 Ratings
    Company Website
  • Google Cloud Run Reviews & Ratings
    255 Ratings
    Company Website
  • StarTree Reviews & Ratings
    25 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    55,697 Ratings
    Company Website
  • ActiveBatch Workload Automation Reviews & Ratings
    347 Ratings
    Company Website
  • JOpt.TourOptimizer Reviews & Ratings
    8 Ratings
    Company Website
  • Dynatrace Reviews & Ratings
    3,220 Ratings
  • Azore CFD Reviews & Ratings
    14 Ratings
    Company Website
  • Pimberly Reviews & Ratings
    205 Ratings
    Company Website

What is Spring Cloud Data Flow?

The architecture based on microservices fosters effective handling of both streaming and batch data processing, particularly suited for environments such as Cloud Foundry and Kubernetes. By implementing Spring Cloud Data Flow, users are empowered to craft complex topologies for their data pipelines, utilizing Spring Boot applications built with the frameworks of Spring Cloud Stream or Spring Cloud Task. This robust platform addresses a wide array of data processing requirements, including ETL, data import/export, event streaming, and predictive analytics. The server component of Spring Cloud Data Flow employs Spring Cloud Deployer, which streamlines the deployment of data pipelines comprising Spring Cloud Stream or Spring Cloud Task applications onto modern infrastructures like Cloud Foundry and Kubernetes. Moreover, a thoughtfully curated collection of pre-configured starter applications for both streaming and batch processing enhances various data integration and processing needs, assisting users in their exploration and practical applications. In addition to these features, developers are given the ability to develop bespoke stream and task applications that cater to specific middleware or data services, maintaining alignment with the accessible Spring Boot programming model. This level of customization and flexibility ultimately positions Spring Cloud Data Flow as a crucial resource for organizations aiming to refine and enhance their data management workflows. Overall, its comprehensive capabilities facilitate a seamless integration of data processing tasks into everyday operations.

What is Karaf?

Karaf is a modulith runtime tailored for enterprise settings, designed to function efficiently both on-premises and in cloud environments. It allows developers to focus on their business applications while Apache Karaf manages the underlying infrastructure seamlessly. Supporting a wide variety of frameworks and technologies, this powerful runtime presents itself as a highly flexible option. With features like a shell console, remote access, hot deployment, and dynamic configuration, Karaf ensures seamless operational processes. In addition to these capabilities, Karaf projects offer clustering, extensive monitoring and alerting, and an application repository to enhance functionality. Applications can be deployed effortlessly across numerous platforms, including any Java-capable machine, cloud services, or Docker containers. As a lightweight yet robust solution, Karaf meets the diverse needs of enterprises by providing essential ecosystem features and bootstrapping options for applications. It is particularly beneficial for creating REST APIs, web applications, or utilizing Spring Boot, accommodating a wide spectrum of application types and guaranteeing efficiency in deployment. Moreover, its versatility positions it as an exceptional choice for organizations eager to optimize their application management workflows for improved performance.

Media

Media

Integrations Supported

Apache Camel
Apache ServiceMix
Apache Tomcat
Cloud Foundry
Kubernetes
Spring
Spring Framework
VMware Cloud

Integrations Supported

Apache Camel
Apache ServiceMix
Apache Tomcat
Cloud Foundry
Kubernetes
Spring
Spring Framework
VMware Cloud

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Spring

Company Website

spring.io/projects/spring-cloud-dataflow

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

karaf.apache.org

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Popular Alternatives

Popular Alternatives

Apache ServiceMix Reviews & Ratings

Apache ServiceMix

Apache Software Foundation