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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 DMSFACTORY DocumentsPipeliner?
DocumentsPipeliner acts as a server-based middleware solution specifically engineered for the automated processing of incoming documents. It continuously tracks multiple input sources, including email accounts (such as Microsoft Exchange) and file directories, to extract attachments and standardize formats, like converting files to PDF/A, while also incorporating relevant metadata from external systems as necessary. After processing, it forwards the refined information to specified systems such as M-Files, ABBYY FlexiCapture, or other document management and workflow platforms, adhering to predefined rules. By implementing DocumentsPipeliner, businesses can create a centralized digital mailroom that optimizes routine document handling, ensures compliance with regulatory standards, and lays a strong groundwork for reliable and scalable operational workflows. This cutting-edge solution not only boosts operational efficiency but also empowers organizations to gain a greater control over their document management processes, ultimately leading to improved productivity and streamlined operations.
Integrations Supported
ABBYY FlexiCapture
ACI Case Manager
Apache Tomcat
Cloud Foundry
Kubernetes
M-Files
Mariner Financial Wellness
Microsoft Exchange
SQL Server
Saperion ECM
Integrations Supported
ABBYY FlexiCapture
ACI Case Manager
Apache Tomcat
Cloud Foundry
Kubernetes
M-Files
Mariner Financial Wellness
Microsoft Exchange
SQL Server
Saperion ECM
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
2580€/server
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
DMSFACTORY GmbH
Date Founded
1995
Company Location
Germany
Company Website
www.dmsfactory.com/dmsfactory-documentspipeliner
