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What is storagement?

An optimal approach to warehouse management and intralogistics merges cost-efficiency, exceptional effectiveness, and future adaptability. Tailored for intricate and bespoke storage and transport processes, this solution enables easy and prompt monitoring of all operations, guarantees continuous inventory with dependable management and transparency, and offers full customization and scalability suitable for various sectors. Moreover, it enhances secure and efficient data exchange (EDI) with other systems and integrates a shipping mechanism that works seamlessly with a wide array of transport service providers available today. The implementation of this system is rapid and uncomplicated, allowing storage capabilities to grow alongside your business, client requirements, and shifting market demands. This storagement-centric WebLVS encapsulates all these attributes, functioning as a holistic warehouse logistics solution that streamlines processes from receiving to shipping goods. In essence, the storagement system is a warehouse management and information system (WMS) designed for enterprises involved in sophisticated warehousing across numerous fields, including both industry and commerce. By adopting this system, organizations can not only enhance their operational efficiency but also foster the ongoing growth and prosperity of their business in an ever-evolving marketplace. Ultimately, it positions companies for success in a competitive landscape while ensuring they remain agile and responsive to future challenges.

What is Dremio?

Dremio offers rapid query capabilities along with a self-service semantic layer that interacts directly with your data lake storage, eliminating the need to transfer data into exclusive data warehouses, and avoiding the use of cubes, aggregation tables, or extracts. This empowers data architects with both flexibility and control while providing data consumers with a self-service experience. By leveraging technologies such as Apache Arrow, Data Reflections, Columnar Cloud Cache (C3), and Predictive Pipelining, Dremio simplifies the process of querying data stored in your lake. An abstraction layer facilitates the application of security and business context by IT, enabling analysts and data scientists to access and explore data freely, thus allowing for the creation of new virtual datasets. Additionally, Dremio's semantic layer acts as an integrated, searchable catalog that indexes all metadata, making it easier for business users to interpret their data effectively. This semantic layer comprises virtual datasets and spaces that are both indexed and searchable, ensuring a seamless experience for users looking to derive insights from their data. Overall, Dremio not only streamlines data access but also enhances collaboration among various stakeholders within an organization.

Media

Media

Integrations Supported

AccessOwl
Apache Iceberg
BI Book
Cyral
DashboardFox
DataClarity Unlimited Analytics
Emgage
HPE Ezmeral
Looker
Microsoft Power BI
Microsoft Power Query
Okera
Preset
Privacera
PuppyGraph
SQL
Tableau
Uptix
Yurbi
data.world

Integrations Supported

AccessOwl
Apache Iceberg
BI Book
Cyral
DashboardFox
DataClarity Unlimited Analytics
Emgage
HPE Ezmeral
Looker
Microsoft Power BI
Microsoft Power Query
Okera
Preset
Privacera
PuppyGraph
SQL
Tableau
Uptix
Yurbi
data.world

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Dr. Brunthaler IITech

Company Website

weblvs.de/storagement/

Company Facts

Organization Name

Dremio

Date Founded

2015

Company Location

United States

Company Website

www.dremio.com

Categories and Features

Warehouse Management

3PL Management
Barcoding / RFID
Category Customization
Channel Management
Demand Planning
Inventory Management
Location Control
Order Management
Purchasing
Quality Control
Receiving / Putaway Management
Returns Management
Shipping Management

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 Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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