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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

DocumentsPipeliner serves as a middleware solution hosted on a server, designed for the automated handling of incoming documents. It actively monitors various input channels, such as mailboxes (like Microsoft Exchange) and file directories, extracting email attachments, standardizing formats (for instance, PDF/A), and enhancing documents with relevant metadata from external systems when required. Subsequently, it transmits the processed information to designated systems, including M-Files, ABBYY FlexiCapture, or other document management and workflow solutions, according to established rules. By using DocumentsPipeliner, organizations can establish a centralized “digital mailroom” that streamlines routine document processing, ensures adherence to compliance standards, and establishes a robust foundation for consistent and scalable operational processes. This innovative approach not only enhances efficiency but also allows companies to better manage their document workflows.

Description

You determine the cluster size, node specifications, and a range of services, while Yandex Data Proc effortlessly sets up and configures Spark, Hadoop clusters, and additional components. Collaboration is enhanced through the use of Zeppelin notebooks and various web applications via a user interface proxy. You maintain complete control over your cluster with root access for every virtual machine. Moreover, you can install your own software and libraries on active clusters without needing to restart them. Yandex Data Proc employs instance groups to automatically adjust computing resources of compute subclusters in response to CPU usage metrics. Additionally, Data Proc facilitates the creation of managed Hive clusters, which helps minimize the risk of failures and data loss due to metadata issues. This service streamlines the process of constructing ETL pipelines and developing models, as well as managing other iterative operations. Furthermore, the Data Proc operator is natively integrated into Apache Airflow, allowing for seamless orchestration of data workflows. This means that users can leverage the full potential of their data processing capabilities with minimal overhead and maximum efficiency.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

ABBYY FlexiCapture Yes 
ACI Case Manager Yes 
Apache Airflow No 
Apache HBase No 
Apache Hive No 
Apache Spark No 
Apache Zeppelin No 
Hadoop No 
M-Files Yes 
Matplotlib No 
Microsoft Exchange Yes 
NumPy No 
Python No 
SQL Server Yes 
TensorFlow No 
Tungsten Capture Yes 
Yandex Cloud No 
Yandex DataSphere No 
pandas No 
scikit-image No 

Integrations

ABBYY FlexiCapture No 
ACI Case Manager No 
Apache Airflow Yes 
Apache HBase Yes 
Apache Hive Yes 
Apache Spark Yes 
Apache Zeppelin Yes 
Hadoop Yes 
M-Files No 
Matplotlib Yes 
Microsoft Exchange No 
NumPy Yes 
Python Yes 
SQL Server No 
TensorFlow Yes 
Tungsten Capture No 
Yandex Cloud Yes 
Yandex DataSphere Yes 
pandas Yes 
scikit-image Yes 

Pricing Details

2580€/server
Free Trial Yes 
Free Version No 

Pricing Details

$0.19 per hour
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

DMSFACTORY GmbH

Founded

1995

Country

Germany

Website

www.dmsfactory.com/dmsfactory-documentspipeliner

Vendor Details

Company Name

Yandex

Founded

1997

Country

Russia

Website

cloud.yandex.com/en/services/data-proc

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Product Features

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