Spring Cloud Data FlowSpring
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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
Upsolver makes it incredibly simple to build a governed data lake and to manage, integrate and prepare streaming data for analysis. Define pipelines using only SQL on auto-generated schema-on-read. Easy visual IDE to accelerate building pipelines. Add Upserts and Deletes to data lake tables. Blend streaming and large-scale batch data. Automated schema evolution and reprocessing from previous state. Automatic orchestration of pipelines (no DAGs). Fully-managed execution at scale. Strong consistency guarantee over object storage. Near-zero maintenance overhead for analytics-ready data. Built-in hygiene for data lake tables including columnar formats, partitioning, compaction and vacuuming. 100,000 events per second (billions daily) at low cost. Continuous lock-free compaction to avoid “small files” problem. Parquet-based tables for fast queries.
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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
Companies interested in a low-code data pipeline platform
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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
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not 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
No information available.
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
Not Supported
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Company InformationSpring
spring.io/projects/spring-cloud-dataflow
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Company InformationUpsolver
Founded: 2014
Israel
www.upsolver.com
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Categories |
Categories |
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Big Data Features
Collaboration
Not Supported
Data Blends
Supported
Data Cleansing
Supported
Data Mining
Supported
Data Visualization
Not Supported
Data Warehousing
Not Supported
High Volume Processing
Supported
No-Code Sandbox
Supported
Predictive Analytics
Not Supported
Templates
Not Supported
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Integrations
AWS IoT SiteWise
Not Supported
Apache Tomcat
Supported
Cloud Foundry
Supported
Eco
Not Supported
Hive
Not Supported
Kubernetes
Supported
Mariner Financial Wellness
Supported
Micromerce
Not Supported
PuppyGraph
Not Supported
Spring Framework
Supported
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Integrations
AWS IoT SiteWise
Supported
Apache Tomcat
Not Supported
Cloud Foundry
Not Supported
Eco
Supported
Hive
Supported
Kubernetes
Not Supported
Mariner Financial Wellness
Not Supported
Micromerce
Supported
PuppyGraph
Supported
Spring Framework
Not Supported
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