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Average Ratings 0 Ratings

Total
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

Dagster is the cloud-native open-source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. It is the platform of choice data teams responsible for the development, production, and observation of data assets. With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

ACI Case Manager Yes 
APERIO DataWise No 
Airbyte No 
Amazon Web Services (AWS) No 
Apache Airflow No 
Coginiti No 
DataHub No 
Databricks No 
Datadog No 
Google Cloud Platform No 
Great Expectations No 
Jupyter Notebook No 
Kubernetes No 
M-Files Yes 
Papertrail No 
SDF No 
Snowflake No 
Twilio No 
dbt No 
pandas No 

Integrations

ACI Case Manager No 
APERIO DataWise Yes 
Airbyte Yes 
Amazon Web Services (AWS) Yes 
Apache Airflow Yes 
Coginiti Yes 
DataHub Yes 
Databricks Yes 
Datadog Yes 
Google Cloud Platform Yes 
Great Expectations Yes 
Jupyter Notebook Yes 
Kubernetes Yes 
M-Files No 
Papertrail Yes 
SDF Yes 
Snowflake Yes 
Twilio Yes 
dbt Yes 
pandas Yes 

Pricing Details

2580€/server
Free Trial Yes 
Free Version No 

Pricing Details

$0
Pricing starts at $0.04/min for Serverless and $0.03/min for Hybrid, and tapers down from there based on usage.
Free Trial Yes 
Free Version Yes 

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 Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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 No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

DMSFACTORY GmbH

Founded

1995

Country

Germany

Website

www.dmsfactory.com/dmsfactory-documentspipeliner

Vendor Details

Company Name

Dagster Labs

Founded

2019

Country

United States

Website

dagster.io

Product Features

Product Features

Data Fabric

Data Access Management No 
Data Analytics Yes 
Data Collaboration Yes 
Data Lineage Tools Yes 
Data Networking / Connecting Yes 
Metadata Functionality Yes 
No Data Redundancy No 
Persistent Data Management No 

Data Management

Customer Data No 
Data Analysis Yes 
Data Capture No 
Data Integration Yes 
Data Migration Yes 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge Yes 

ETL

Data Analysis Yes 
Data Filtering Yes 
Data Quality Control No 
Job Scheduling Yes 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training Yes 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools Yes 
Templates No 
Visualization No 

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