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What is Upsolver?

Upsolver simplifies the creation of a governed data lake while facilitating the management, integration, and preparation of streaming data for analytical purposes. Users can effortlessly build pipelines using SQL with auto-generated schemas on read. The platform includes a visual integrated development environment (IDE) that streamlines the pipeline construction process. It also allows for Upserts in data lake tables, enabling the combination of streaming and large-scale batch data. With automated schema evolution and the ability to reprocess previous states, users experience enhanced flexibility. Furthermore, the orchestration of pipelines is automated, eliminating the need for complex Directed Acyclic Graphs (DAGs). The solution offers fully-managed execution at scale, ensuring a strong consistency guarantee over object storage. There is minimal maintenance overhead, allowing for analytics-ready information to be readily available. Essential hygiene for data lake tables is maintained, with features such as columnar formats, partitioning, compaction, and vacuuming included. The platform supports a low cost with the capability to handle 100,000 events per second, translating to billions of events daily. Additionally, it continuously performs lock-free compaction to solve the "small file" issue. Parquet-based tables enhance the performance of quick queries, making the entire data processing experience efficient and effective. This robust functionality positions Upsolver as a leading choice for organizations looking to optimize their data management strategies.

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.

Media

Media

Integrations Supported

ABBYY FlexiCapture
ACI Case Manager
AWS IoT SiteWise
Eco
Hive
M-Files
Micromerce
Microsoft Exchange
PuppyGraph
SQL Server
Saperion ECM
Tungsten Capture

Integrations Supported

ABBYY FlexiCapture
ACI Case Manager
AWS IoT SiteWise
Eco
Hive
M-Files
Micromerce
Microsoft Exchange
PuppyGraph
SQL Server
Saperion ECM
Tungsten Capture

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

Upsolver

Date Founded

2014

Company Location

Israel

Company Website

www.upsolver.com

Company Facts

Organization Name

DMSFACTORY GmbH

Date Founded

1995

Company Location

Germany

Company Website

www.dmsfactory.com/dmsfactory-documentspipeliner

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Categories and Features

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