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
  • Dynatrace Reviews & Ratings
    3,220 Ratings
  • JOpt.TourOptimizer Reviews & Ratings
    8 Ratings
    Company Website
  • 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 Azure Event Hubs?

Event Hubs is a comprehensive managed service designed for the ingestion of real-time data, prioritizing ease of use, dependability, and the ability to scale. It facilitates the streaming of millions of events each second from various sources, enabling the development of agile data pipelines that respond instantly to business challenges. During emergencies, its geo-disaster recovery and geo-replication features ensure continuous data processing. The service integrates seamlessly with other Azure solutions, providing valuable insights for users. Furthermore, existing Apache Kafka clients can connect to Event Hubs without altering their code, allowing a streamlined Kafka experience free from the complexities of cluster management. Users benefit from both real-time data ingestion and microbatching within a single stream, allowing them to focus on deriving insights rather than on infrastructure upkeep. By leveraging Event Hubs, organizations can build robust real-time big data pipelines, swiftly addressing business challenges and maintaining agility in an ever-evolving landscape. This adaptability is crucial for businesses aiming to thrive in today's competitive market.

Media

Media

Integrations Supported

5X
Abstract Security
Apache Tomcat
Ascend
Azure Marketplace
Cloud Foundry
EMnify
Evvox
Kubernetes
LOGIQ
New Relic
Onum
PeerDB
PubSub+ Platform
Samza
Sclera
Spring
Spring Framework
TriggerMesh
VMware Cloud

Integrations Supported

5X
Abstract Security
Apache Tomcat
Ascend
Azure Marketplace
Cloud Foundry
EMnify
Evvox
Kubernetes
LOGIQ
New Relic
Onum
PeerDB
PubSub+ Platform
Samza
Sclera
Spring
Spring Framework
TriggerMesh
VMware Cloud

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.03 per hour
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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/event-hubs/

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Popular Alternatives

Popular Alternatives

Amazon MSK Reviews & Ratings

Amazon MSK

Amazon