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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.

What is AWS Data Pipeline?

AWS Data Pipeline is a cloud service designed to facilitate the dependable transfer and processing of data between various AWS computing and storage platforms, as well as on-premises data sources, following established schedules. By leveraging AWS Data Pipeline, users gain consistent access to their stored information, enabling them to conduct extensive transformations and processing while effortlessly transferring results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. This service greatly simplifies the setup of complex data processing tasks that are resilient, repeatable, and highly dependable. Users benefit from the assurance that they do not have to worry about managing resource availability, inter-task dependencies, transient failures, or timeouts, nor do they need to implement a system for failure notifications. Additionally, AWS Data Pipeline allows users to efficiently transfer and process data that was previously locked away in on-premises data silos, which significantly boosts overall data accessibility and utility. By enhancing the workflow, this service not only makes data handling more efficient but also encourages better decision-making through improved data visibility. The result is a more streamlined and effective approach to managing data in the cloud.

Media

Media

Integrations Supported

ABBYY FlexiCapture
ACI Case Manager
AWS App Mesh
Amazon DynamoDB
Amazon EC2
Amazon EMR
Amazon RDS
Amazon S3
EC2 Spot
Functionize
M-Files
Microsoft Exchange
Mobito
SQL Server
Saperion ECM
SquaredUp
Tungsten Capture

Integrations Supported

ABBYY FlexiCapture
ACI Case Manager
AWS App Mesh
Amazon DynamoDB
Amazon EC2
Amazon EMR
Amazon RDS
Amazon S3
EC2 Spot
Functionize
M-Files
Microsoft Exchange
Mobito
SQL Server
Saperion ECM
SquaredUp
Tungsten Capture

API Availability

Has API

API Availability

Has API

Pricing Information

2580€/server
Free Trial Offered?
Free Version

Pricing Information

$1 per month
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

DMSFACTORY GmbH

Date Founded

1995

Company Location

Germany

Company Website

www.dmsfactory.com/dmsfactory-documentspipeliner

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/datapipeline/

Categories and Features

Categories and Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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