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
Competition Management
Competition Management
Manage every stage of your competition with ease using this advanced competition management template. From participant registration and automated registration reminders to blind review, preliminary review, scoring system setup, and real-time event dashboards, it streamlines the full event workflow. Organizers can track participant data, submissions, and scoring transparently, ensuring fairness while reducing manual work. Ideal for academic competitions, innovation contests, sports events, and corporate challenges.
AI Programmer
Transform your ideas into ready-to-publish HTML pages with AI Programmer by Bika.ai. Create stylish, professional web pages instantly — no coding required.
Expense Tracking
Expense Tracking
Easily manage your personal and team expenses with Bika.ai’s expense tracking template. Track receipts, monitor shared expenses, gain actionable spending insights, and visualize financial data with an intuitive expense dashboard designed to simplify budgeting and control finances efficiently.
AI News Anchor
Provide one or more RSS feed URLs and get a concise, 3–5 minute daily news brief. The agent reads the feeds, selects key updates, and summarizes them in a neutral anchor tone with source links.
X/Twitter Manager
An AI-powered Twitter Assistant that helps content creators draft viral tweets with auto-polish, generate tweet ideas, and schedule posts using one-click automation. Grow your engagement and effortlessly boost your Twitter follower growth.
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.