It consists of a grid composed of records (rows) and fields (columns), where each column has preset configurable column types, resulting in a standardized data structure for the entire data database. It aims to effectively organize and display large amounts of data, combining the advantages of both database and spreadsheet technologies.

In the past, databases were intimidating to ordinary people. With common databases like MySQL, you had to go through a lengthy college-level learning process, studying command-line installation, creation, deletion, SQL queries, data insertion, manipulation, and other technical aspects that seemed to require advanced technical expertise, just to perform "kindergarten-level" operations on database systems.

The good news is that Big Data Multi-dimensional Databases possess almost all the benefits of databases, offering powerful functionality while being as easy to use as Excel.

Moreover, we know that 99% of digital software is built on relational databases at their core. This means that with Big Data Multi-dimensional Databases, you can easily implement various complex "business systems" - tasks that previously required a technical team of dozens can now be accomplished by just one person.

From personal tasks like financial accounting, knowledge management, and photo organization, to team activities like project management, real-time collaboration, and data sharing, to company-level operations like customized ERP, OA, CRM, CMS, data middle platform, sales management, procurement management, financial management, and HR management, Big Data Multi-dimensional Databases can meet all kinds of needs and desires in life and work.

Big Data Multi-dimensional Databases VS Spreadsheets

Multi-dimensional Databases

Excel

Description

Specialized Scenarios

Data organization, project management, data management, and various business scenarios

Financial reports, batch calculations, databases formatting

For most ordinary users, Multi-dimensional Databases offer broader application scenarios

Data Structuring

★★★★★

★

Multi-dimensional Databases are based on data structure, Excel is based on free cells

View Transformation

★★★★★

★

Excel cannot transform views, Multi-dimensional Databases can switch between database/gallery/Gantt/form/kanban/calendar and other views

History Tracking

★★★★★

★

All modifications can be traced in Multi-dimensional Databases, Excel has no history tracking

Multimedia Capability

★★★★★

★

Multi-dimensional Databases' fields can contain images, videos, and various attachments

System Integration

★★★★★

★

Provides cloud APIs for easy integration with different third-party systems

Data Organization

★★★★★

★★

Multi-dimensional Databases can better organize various materials and data based on data structure, Excel is more scattered with unstructured data organization

Ease of Use

★★★★★

★★

Multi-dimensional Databases allow immediate operation of various business scenarios by opening templates, Excel requires learning functions first, then business operations

Team Collaboration

★★★★★

★★

Multi-dimensional Databases enable comments and interactions

Permission Management

★★★★★

★★

Multi-dimensional Databases have enterprise-level permission management, Excel is limited to single-machine use

Layout

★★★

★★★★

Based on rows and fields (columns), Excel is based on arbitrary cells

Function Features

★★★

★★★★★

Multi-dimensional Databases emphasize openness and ease of use, avoiding complex magical functions

Data Analysis

★★★★★

Based on neatly arranged dashboards in Multi-dimensional Databases, Excel uses cell-selection based charts

Core Structure

Records (rows)/Fields (columns)

Cells

Multi-dimensional Databases are based on data structure, Excel is based on free cells

Cross-database Relations

★★★★★

None

Databases can be interrelated in Multi-dimensional Databases, not possible in Excel

Recommend Reading

Recommend AI Automation Templates

Introduction to Big Data Multi-dimensional Databases

Big Data Multi-dimensional Databases VS Spreadsheets