About Datebases

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Datebases is a new type of data management system that combines page and table concepts.

It provides informational structure management, query calculation, and display capabilities.
It can freely build personalized business management tools and lightweight systems; combined with cloud synchronization and real-time collaboration capabilities,。 -it provides individuals and teams with efficient information management methods.

With a choice of six unique database views, you control how to display content - letting you organize, categorize, label, filter, search, view, and utilize Notion to get your work done.

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Basic Concepts

A database can be understood as a way of managing a collection of pages (referred to as "records/record pages" in multidimensional tables). All pages have associated attributes, and different views can be set up to present and manage these pages and attributes.

1.Records and Attributes

Each row in the database is called a "record" or "record page", and each column is called an "attribute".

Record: Each record can be expanded as a separate page, and you can edit and manage each record in the database as an independent page, which is suitable for further expansion and creation of content. This high adaptability also allows ordinary pages or text blocks to be easily dragged and dropped into the database to form a record, and vice versa.
Attribute: The type of each attribute column is fixed, ensuring that the data you enter is standardized and orderly; attributes are shared across various views. You can set whether to display or hide attributes in the current view in "View Settings" - "Attributes". In the database, you can create up to 18 attributes as needed.

2.Views

Views represent the presentation of data. In a database, you can use 7 different views to organize the same data. Creating a new view is equivalent to adding a new presentation format for the data. Editing records or attributes in any view will be synchronized in real time to other views.

Under each view, there are common or view-specific settings. For example, the display and hiding of attributes, sorting, filtering, and grouping. These settings will take effect in the current view.

Features and Applicable Scenarios

1.Features

Standardization: Unlike traditional spreadsheets, database attributes support standard numeric/content entry, improving input standardization and display neatness.
Multiple views: Supports selecting the appropriate view, configuration, filtering, sorting, grouping, and display style based on different usage scenarios, enhancing management efficiency while also providing a certain aesthetic appeal.
Flexibility: Existing attributes and views are all convertible, ***bined with multidimensional table template configuration, conveniently create records, and additional information can be supplemented and explained on the record page without being limited by format or content. No longer need to repeatedly create or paste for modification.
Data association and formula calculation: With the support of standardization, different multidimensional tables can achieve data association and reference through association and aggregation, and perform basic calculations through formulas; making up for the problems of traditional spreadsheets with isolated data, complex management, and storage difficulties.
Sharing/Real-time Collaboration: Data is stored in the cloud and can be shared with one click or real-time collaboration with multiple people, facilitating the construction of knowledge bases or project management scenarios.
Historical data tracing and recovery: Relying on dynamic and historical version capabilities, multidimensional table information can be traced and recovered.

2.Applicable Scenarios

Personal Scenarios

Reading notes
Movie and book reviews
Literature management
Shopping list
To-do list
GTD time management
Study plan
Group activity schedule
Home renovation progress management
Household account book
Diet plan
Personal portfolio
...

Team Scenario

Weekly Report Management
Employee Information Table
Recruitment Management
Meeting Minutes
OKR Management
Project Bidding Management
User Research
Data Collection
Project Engineering Management and Display
R&D Project Management
Customer Service Management
Event Planning
...

Create a Datebase

Now that you understand the basic concepts of databases, let's try creating your own database.