Sprinkle Docs
  • What is Sprinkle?
  • Quick Start
  • Analysing your data
    • πŸ”­Analytics Overview
    • πŸ’ Data Models
      • *️Variables
      • 🌲Hierarchies
      • 🀿Column Mask
    • πŸŽ‰Switch to New Reports & Dashboards
    • πŸ†•Reports
      • Overview
      • Build Using Tables
        • Create a new Report
        • Layout and options
        • Build and Format - Overview
        • Apply Row Limits
        • Identify Date Columns
        • Filter your data
        • Visualizations
          • Table
          • Pivot
          • Line Chart
          • Bar Chart
          • Column Chart
          • Area Chart
          • Combo Chart
          • Scatter & Bubble Plot
          • Pie Chart
          • Funnel Chart
          • Stat Card
          • Point Map
          • Heat Map
          • Radial gauge chart
        • Advanced Features
          • Custom Analysis
          • Variables
          • Table & Quick Calculations
          • Drill - Hierarchical & Date
          • Break Out
          • RLS in Table reports
          • Scheduled Exports
          • Embedding Table Reports
      • Build Using Models
        • Create a new report
        • Layout and options
        • Visualizations
        • Advanced Features
      • Build SQL Reports
        • Create a new Report
        • Layout and options
        • Writing a SQL Code on Editor
        • Visualizations
        • Variables in SQL Reports
    • πŸ†•Dashboards
      • πŸŒ€Filters
      • πŸ‘†Click Behaviour
      • ⏰Data Alerts
      • πŸ—“οΈDate Drill
      • πŸ“€Scheduled Exports
      • πŸ”—Embed link
      • πŸ–₯️Dashboard layout
      • πŸ“±Mobile Dashboards
  • Transforming your data
    • πŸ”°SQL Transform
    • πŸ““Python Notebooks
  • Integrating your data
    • ☁️Destination Warehouses
      • AWS Athena
        • Manage storage of Flow tables
      • AWS Redshift
      • Azure Synapse
      • Databricks
      • Google BigQuery
      • MySQL
      • Postgres
      • Snowflake
      • SQL Server
      • K8 Setup
        • AWS EKS
        • Google GKE
        • Azure AKS
    • βš™οΈWarehouse & Storage Setup
  • Ingesting your data
    • β˜„οΈData Imports
      • Databases
        • Azure Cosmos DB
        • Azure Table Storage
        • Google BigQuery
        • Mongo DB
        • MySQL DB
        • Oracle DB
        • Postgres DB
        • SQL Server DB
        • Features
          • Ingestion Modes
          • Add Multiple Datasets
          • CDC Setup
            • CDC setup in Mysql
            • CDC setup in Postgres
            • CDC setup in Mongo
            • CDC setup in SQL Server
          • Destination Create Table Clause
          • SSH Tunnel Setup
      • Files
        • AWS S3
        • AWS S3 External
        • Azure Blob
        • FTP
        • Google Cloud Storage
        • Google Sheet
        • SFTP
      • Applications
        • Apple Search Ads
        • Appsflyer
        • Branch
        • Clevertap
        • Facebook Ads
        • Freshdesk
        • Freshsales
        • Google Ads
        • Google Ads V2
        • Google Analytics
        • Google Analytics 4
        • Google Analytics MCF
        • Google Search Console
        • Hubspot
        • Impact Ads
        • Intercom
        • Klaviyo
        • Leadsquared
        • LinkedIn Ads
        • Magento
        • Mailchimp
        • Marketo
        • Mixpanel
        • MoEngage
        • Rocketlane
        • Salesforce
        • SAP S4
        • Shopify
        • Snapchat Marketing
        • TikTok Ads
        • WooCommerce
        • Zendesk Chat
        • Zendesk Support
        • Zoho Analytics
        • Zoho Books
        • Zoho CRM
        • Zoho Desk
        • Zoho Invoice
        • Zoho Subscription
      • Events
        • Apache Kafka
        • AWS Kinesis
        • Azure EventHub
    • πŸ“€File Uploads
    • πŸ€–API Pulls
    • πŸ•ΈοΈWebhooks
  • Collaborating on data
    • πŸ“€Sharing
    • πŸ’¬Comments
    • ⚑Activity
    • 🏷️Labels
  • Managing Schedules and Data Refreshes
    • ⏱️Schedules
    • πŸ””Notifications
  • User Management
    • πŸ”‘Access Management
    • πŸ§‘β€πŸ€β€πŸ§‘Groups
    • πŸ“‚Folders
    • πŸ”„Syncing users, groups and RLS
    • πŸ“§Azure AD Integration
  • Data Security & Privacy
    • πŸ”Security at Sprinkle
    • πŸ“„GDPR
    • πŸ“„Privacy Policy
  • Release Notes
    • πŸ“’Release Notes
      • πŸ—’οΈRelease Notes - v12.1 (New)
      • πŸ—’οΈRelease Notes - v12.0
      • πŸ—’οΈRelease Notes - v11.0
      • πŸ—’οΈRelease Notes - v10.8
      • πŸ—’οΈRelease Notes - v10.7
      • πŸ—’οΈRelease Notes - v10.6
      • πŸ—’οΈRelease Notes - v10.5
      • πŸ—’οΈRelease Notes - v10.4
      • πŸ—’οΈRelease Notes - v10.3
      • πŸ—’οΈRelease Notes - v10.2
      • πŸ—’οΈRelease Notes - v10.1
      • πŸ—’οΈRelease Notes - v10.0
      • πŸ—’οΈRelease Notes - v9.31
      • πŸ—’οΈRelease Notes - v9.30
      • πŸ—’οΈRelease Notes - v9.29
      • πŸ—’οΈRelease Notes - v9.28
      • πŸ—’οΈRelease Notes - v9.27
      • πŸ—’οΈRelease Notes - v9.25
      • πŸ—’οΈRelease Notes - v9.24
      • πŸ—’οΈRelease Notes - v9.23
      • πŸ—’οΈRelease Notes - v9.22
      • πŸ—’οΈRelease Notes - v9.21
      • πŸ—’οΈRelease Notes - v9.20
      • πŸ—’οΈRelease Notes - v9.19
      • πŸ—’οΈRelease Notes - v9.18
      • πŸ—’οΈRelease Notes - v9.17
      • πŸ—’οΈRelease Notes - v9.16
      • πŸ—’οΈRelease Notes - v9.14
      • πŸ—’οΈRelease Notes - v9.13
      • πŸ—’οΈRelease Notes - v9.12
      • πŸ—’οΈRelease Notes -v9.8
      • πŸ—’οΈRelease Notes - v9.7
      • πŸ—’οΈRelease Notes - v9.6
      • πŸ—’οΈRelease Notes - v9.5
      • πŸ—’οΈRelease Notes - v9.4
      • πŸ—’οΈRelease Notes - v9.3
      • πŸ—’οΈRelease Notes - v9.2
      • πŸ—’οΈRelease Notes - v9.1
      • πŸ—’οΈRelease Notes - v9.0 (Major)
      • πŸ—’οΈRelease Notes - v7.23
      • πŸ—’οΈRelease Notes - v7.21
      • πŸ—’οΈRelease Notes - v7.20
      • πŸ—’οΈRelease Notes - v7.15
      • πŸ—’οΈRelease Notes - v7.14
      • πŸ—’οΈRelease Notes - v7.13
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On this page
  • Introduction
  • Watch Video πŸ“Ί
  • Key Features
  • Integration
  • Models
  • Reports
  • Dashboards
  • Access Management
  • Sharing and Collaboration
  • Conclusion

What is Sprinkle?

Sprinkle helps data teams to integrate, discover and analyse all their data instantly with a no/low code platform.

NextQuick Start

Last updated 10 months ago

Introduction

Sprinkle Analytics is a no-code analytics and self-service BI solution that helps businesses integrate, transform, and analyze data effortlessly, without the need for coding. It facilitates real-time analysis of billions of data points, allowing businesses to keep all key performance indicators (KPIs) in one place.

Watch Video πŸ“Ί

Key Features

  • No-Code Analytics: Analyze data visually at any granularity, without being a data expert.

  • Self-Service BI: Build any report on-the-fly, no technical expertise needed.

  • Standardized Business Metrics: Standardize your business metrics and speak one language across the organization.

  • Real-time Analysis: Analyze data in real-time with super-fast performance and query optimizations.

  • Custom Dashboards: Create custom dashboards on the fly and without waiting for analysts.

  • Connect to Any Data: Connect to any data in just a few clicks with 100+ ready-made data source connectors.

Integration

Sprinkle Analytics supports integration with almost all the data sources you may need, offering 100+ connectors for these data sources.

By bringing the data into your data warehouse, you can gain richer insights by joining tables from various sources. If you don't have your own data warehouse, Sprinkle Analytics has you covered with its Managed Data Warehouse built on Google’s BigQuery.

Models

Reports

Dashboards

Access Management

Sharing and Collaboration

Conclusion

Sprinkle Analytics is a comprehensive suite of powerful features for your data teams and organization. It helps you discover data, ensure access to the right data, and build analytics at scale. It enables everyone in the organization to be data-driven in their approach using self-serve analytics, without the need to be a data expert. All these features and more make Sprinkle Analytics the perfect solution for your data analytics needs.

help present a multi-dimensional view of the data. You can build models to analyze data across multiple dimensions, which can be created without even writing a single line of code. It can be configured with a simple point-and-click user interface.

enable you to find answers to your questions using the data. Through the intuitive interface, you can start analyzing data by dimensions and measures and create interactive charts.

You can either create a report from a , a , or by using our .

With Sprinkle Analytics, you can build interactive with customized data filters. You can easily share your dashboards and reports with anyone and can also embed them into other applications.

Sprinkle Analytics has carefully designed access control features to ensure users have to data and features according to their data appetite. You can customize access control based on the needs of your organization.

Data entities in Sprinkle Analytics are shareable, and the on each entity enable teams to actively discuss everything related to data.

Models
Reports
table
model
SQL-based interface
dashboards
access
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