Bika
GuideDatabase

Introduction to Big Data Multi-dimensional Databases

Introduction to Big Data Multi-dimensional Databases

Big Data Multi-dimensional Databases are a breakthrough innovative cloud data processing technology that combines databases and spreadsheets.

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 AI Automation Templates
AI Project Issues and Tickets
AI Project Issues and Tickets
Use the AI Project Issues and Tickets template as a complete issue tracking template and AI-powered project ticket system for product and project teams. Collect bug tickets, customer support tickets, and feature request form submissions in one place, and manage ticket prioritization and status updates with automated notifications. Every week, an AI summary report aggregates all requests and bugs, giving project managers, product owners, QA engineers, customer support, and business analysts clear insights into user feedback, development progress, and your overall AI project workflow.
Resume Analyzer
Resume Analyzer
HR AI Assistant is designed to streamline your resume workflow. It automatically extracts key candidate details from resumes (screenshots or PDFs) and organizes them into your datasheet. Simply upload a resume, and the assistant will handle the rest — making your hiring process faster, more accurate, and more efficient.
AI Automated Task Management
AI Automated Task Management
Helps teams efficiently manage weekly tasks. Through a series of automation tools, including task summaries, progress reminders, and personal summary reports, team members can promptly obtain task information and progress, thereby improving collaboration efficiency and work transparency. By using these automation features, teams can maintain efficient operations and ensure that each member has a clear understanding and sense of responsibility for their tasks.
Business Contract Management
Business Contract Management
Streamline your entire contract lifecycle with the Business Contract Management template. This centralized contract management system serves as an all-in-one contract database and centralized contract repository for tracking contract details, approvals, and activities. Automate key processes through a contract approval workflow and contract workflow management, ensuring accuracy, transparency, and collaboration across teams. Ideal for project contract management, this template simplifies service request tracking, reduces manual work, and improves efficiency from contract submission to expiration reminders.
AI Marketing Campaign Analysis
AI Marketing Campaign Analysis
The AI Marketing Campaign Analysis template is a campaign tracking template and AI marketing workflow that centralizes marketing data integration in one marketing campaign database. Track advertising campaign metrics and marketing KPI tracking across channels, and let marketing report automation generate and deliver clear summaries to your team. Improve marketing team collaboration with shared views of campaigns, goals, statuses, and results so everyone can act on up-to-date performance insights instead of manual spreadsheets.
Automated Stock Data Retrieval (JavaScript)
Automated Stock Data Retrieval (JavaScript)
The Automated Stock Data Retrieval (JavaScript) template automatically fetches US stock data every day and writes it into a structured table, giving you clean, consistent time series for analysis. Use it as part of your financial data automation stack to power stock trend analysis, dashboards, alerts, and quantitative analysis data for models and backtests. Designed for financial analysts, investment managers, data scientists, quants, and portfolio managers, it saves time on manual data collection so you can focus on research, strategy, and better investment decisions.