Spring Cloud Data FlowSpring
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IBM StreamSetsIBM
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Related Products
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About
Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model.
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About
IBM® StreamSets enables users to create and manage smart streaming data pipelines through an intuitive graphical interface, facilitating seamless data integration across hybrid and multicloud environments. This is why leading global companies rely on IBM StreamSets to support millions of data pipelines for modern analytics, intelligent applications and hybrid integration.
Decrease data staleness and enable real-time data at scale—handling millions of records of data, across thousands of pipelines within seconds.
Insulate data pipelines from change and unexpected shifts with drag-and-drop, prebuilt processors designed to automatically identify and adapt to data drift.
Create streaming pipelines to ingest structured, semistructured or unstructured data and deliver it to a wide range of destinations.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Companies and professionals seeking a solution to manage their streaming and batch data processing operations
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Audience
DevOps teams
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$1000 per month
5 active jobs
5 users 50 published pipelines 99.9% uptime Email Support (Business hours M-F)
Free Version
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationSpring
spring.io/projects/spring-cloud-dataflow
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Company InformationIBM
Founded: 1911
United States
www.ibm.com/products/streamsets
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Alternatives |
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Categories |
Categories |
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DevOps Features
Approval Workflow
Supported
Dashboard
Supported
KPIs
Supported
Policy Management
Supported
Portfolio Management
Supported
Prioritization
Supported
Release Management
Supported
Timeline Management
Supported
Troubleshooting Reports
Supported
Streaming Analytics Features
Data Enrichment
Supported
Data Wrangling / Data Prep
Supported
Multiple Data Source Support
Supported
Process Automation
Supported
Real-time Analysis / Reporting
Supported
Visualization Dashboards
Supported
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Integrations
Amazon Redshift
Not Supported
Amazon Simple Queue Service (SQS)
Not Supported
Apache Cassandra
Not Supported
Apache Tomcat
Supported
Azure Data Lake Storage
Not Supported
Azure Industrial IoT
Not Supported
Delta Lake
Not Supported
FileTrail Records Management
Not Supported
Hadoop
Not Supported
Kubernetes
Supported
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Integrations
Amazon Redshift
Supported
Amazon Simple Queue Service (SQS)
Supported
Apache Cassandra
Supported
Apache Tomcat
Not Supported
Azure Data Lake Storage
Supported
Azure Industrial IoT
Supported
Delta Lake
Supported
FileTrail Records Management
Supported
Hadoop
Supported
Kubernetes
Not Supported
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