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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 RudderStack?

RudderStack serves as an intelligent solution for managing customer information flows. With it, you can effortlessly construct pipelines that integrate your complete customer data ecosystem. Furthermore, you can enhance these pipelines by sourcing data from your data warehouse, facilitating enriched interactions within customer tools for identity stitching and various other sophisticated applications. Begin developing more intelligent customer data pipelines now to maximize your insights.

Media

Media

Integrations Supported

Apache Tomcat
Spring Framework

Integrations Supported

Adjust
Adobe Marketo Engage
Amazon Kinesis
Amazon S3
Azure Blob Storage
DigitalOcean
Google Ads
Google Cloud Pub/Sub
GrowthBook
HubSpot CRM
Kissmetrics
Leanplum
Lytics
Meta Ads
Ortto
SIGNL4
Snowflake
Upollo

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$750/month
Free up to 500K events
$900/mth for up to 25M events
$1200/mth for up to 50M events
$1800/mth for up to 100M events

All plans are discounted with an annual commitment and annual billing.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Spring

Company Website

spring.io/projects/spring-cloud-dataflow

Company Facts

Organization Name

RudderStack

Date Founded

2019

Company Location

United States

Company Website

rudderstack.com

Categories and Features

Data Pipeline

Not specified

Microservices

Not specified

Categories and Features

Data Engineering

Not specified

Data Extraction

Not specified

Data Pipeline

Not specified

ETL

Not specified

Reverse ETL

Not specified

Web Analytics

Not specified

Popular Alternatives

Popular Alternatives

Segment Reviews & Ratings

Segment

Twilio
Spring Boot Reviews & Ratings

Spring Boot

VMware Tanzu