LogoLogo
Home
  • Verb Documentation
  • Release Notes
  • Environment Settings
    • Authentication
      • Authentication Endpoint
  • Data Sources
    • Ingestion Methods
    • Table Sync Intervals
    • Data Source Integrations
      • Network Permissions
      • Microsoft SQL Server
      • PostgreSQL
      • MongoDB
      • Snowflake
      • Elasticsearch
      • DynamoDB
      • Google BigQuery
      • Firebase Cloud Firestore
      • Supabase
      • Cloud Files
      • Flat Files
    • Data Synchronization
      • Synchronization Methods
        • Full Synchronization
        • Incremental Synchronization
        • Change Tracking
        • Change Data Capture
      • Synchronization Intervals
      • Synchronization Status
        • Pausing and Resuming
      • Synchronization History
      • Schema Changes
      • Row Filtering
      • Schemaless & NoSQL
      • Managing Connections
      • Troubleshooting
  • Models
    • What is a Model
      • Elements of a Model
      • Model Management
    • Building a Model
      • Add/Remove Data
      • Relationships
      • Row-Level Security
      • Transformations
    • Advanced Model Information
      • Database Keys
      • Unstructured Data
      • Publishing Updates
      • Troubleshooting
      • Automatic Modeling
  • Data Transformations
    • What is a Transformation
      • Elements of a Transformation
      • Transformation Management
    • Building Transformations
      • Creating Transformations
      • Configure Transformation Steps
      • Transformation Steps
        • Calculator
        • Manipulate Text
        • Map Values
        • Remove Duplicates
        • Date Operation
        • Select Columns
        • Change Type
        • Group Data
        • Filter Data
        • Join Data
        • Append Rows
        • Pivot Data
        • Rank Data
        • Window Data
      • Complete and Publish
  • Collections
    • What is a Collection
      • Elements of a Collection
    • Building Collections
    • API Collections
      • Building API Collections
        • Connect Data Sources
        • Data Model
        • Select Data
        • Authentication and Security
        • Data Access API Keys
        • Data Access API Documentation
      • API Collection Versions
    • Advanced Collection Options
      • Time Zones
      • Currency Symbols
  • Tiles
    • What is a Tile
      • Elements of a Tile
    • Tile Management
      • Tile Data
    • Tile Actions
    • Custom Date Formats
    • Currency Conversion
  • Design Themes
    • What is a Design Theme
    • General Theme Settings
    • Data Visualization Settings
  • Account Settings
    • Integrations
      • Slack
  • Legal
    • Terms of Use
    • Privacy Policy
    • Subscription Agreement Terms
    • Subscription Agreement
    • Data Processing Addendum
Powered by GitBook
On this page

Was this helpful?

  1. Data Sources
  2. Data Synchronization

Schemaless & NoSQL

Verb's platform treats all data uniformly whether the data source is a traditional RDBMS or a document/schemaless database. In the case of an RDBMS system, the relationships are explained through the database schema via primary and foreign, constraints, and indices.

In the case of schemaless, document-centric, or NoSQL databases, the concept of a schema is implied by the contents of the documents in the database. In order to allow you to build robust models (even between multiple data sources), Verb transposes your schemaless data source into oarent and child tables during the ingestion process. For example if your database stores customer documents that have an array of customer orders, Verb will create 2 schema objects with an implied relationship between them. In doing so, you can use the Verb model editor and dashboard creator to build queries and visualizations that join parent documents to descendant documents.

PreviousRow FilteringNextManaging Connections

Last updated 2 years ago

Was this helpful?