Count
count.co
  • Getting Started
    • What is Count?
    • Count FAQ
    • Intro to your workspace
    • Example canvases
    • Getting started guides
      • Set up your workspace and projects
        • 1. Review workspace settings
        • 2. Create and organise your projects
      • Canvas orientation
      • Your first ad hoc analysis
        • 1. Examples and templates
        • 2. Build your first queries
        • 3. Create visuals
        • 4. Caching, local cells and scheduling
        • 5. Collaborating with a stakeholder
      • Your first report
        • 1. Examples and templates
        • 2. Filters and control cells
        • 3. Sharing your report
        • 4. Alerts
  • Connect your data
    • Database connection overview
      • Athena
      • Azure Synapse
      • BigQuery
      • Databricks
      • Microsoft SQL Server
      • MySQL
      • PostgreSQL
      • Redshift
      • Snowflake
    • Refresh database schema
    • Upload CSV files
    • dbt integration
      • ☁️dbt Cloud integration
      • 👩‍💻dbt Core integration
  • Import & Export
    • Import from other tools
      • Import Miro files
      • Import SQL files
      • Import Google Sheets
      • Import Jupyter notebooks
    • Export code and results
      • Export compiled SQL and Jinja-SQL
      • Export CSV files
      • Export images and PDF files
  • THE CANVAS
    • Navigating the canvas
      • Canvas tool bar
      • Data sidebar
      • Customizing the canvas
    • Canvas objects
      • Cells
      • Text and markdown
      • Shapes and tools
      • Sticky notes
      • Frames
      • Images
      • Embeds
      • Stamps
      • Grouping objects
      • Object order and alignment
      • Locking objects
      • Scaling objects
      • Shared styles
    • Overviews
    • Templates
    • Count AI
    • Alerts and subscriptions
      • Slack integration
    • Keyboard shortcuts
  • Querying data
    • Cells overview
      • Dynamic query compilation engine
    • SQL cells
      • Referencing other cells
      • Jinja templating
      • SQL formatting
    • Python cells
    • Visual and low-code cells
      • Calculations in visuals and low-code cells
      • Joins in visuals and low-code cells
    • Control cells
      • Single and multiple selects
      • Date controls
      • Text, number, and boolean controls
      • Custom control cells
    • Local DuckDB cells
      • DuckDB on the server
    • Query caching and scheduling
    • Manage queries and results
    • Troubleshooting
  • Visualizing data
    • Visualization overview
    • Templated visuals
    • Custom visuals
      • Marks
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      • Subplots
      • Style
      • Filters
    • Formatting a visual
      • Axes
        • Secondary Axis
      • Colors and labels
      • Legends
      • Tooltips
    • Column summaries
    • Dynamic text
    • Every Visual Under the Sun
  • Presenting and Reporting
    • Reports and Slides
  • Count Metrics
    • Intro to Count Metrics
    • Build and edit a catalog
    • Views
      • Creating views
      • Customizing views
    • Datasets
      • Creating datasets
    • Save changes to the catalog
      • Catalog validation
      • Version control
    • Exposing catalogs to the workspace
    • Caching in Count Metrics
    • Using the catalog
      • Explore from cell
  • Sharing and Permissions
    • Real-time collaboration
    • Comments
    • Sharing permissions
    • Shared links
    • Embedding canvases
  • History and Versions
    • Version control
    • Duplicating and merging
    • Data snapshots
  • Settings and administration
    • Workspace settings
      • Workspace members
      • Groups
      • Tags
      • Billing
      • Single sign-on (SSO)
        • Okta
        • Entra ID
        • JumpCloud
        • Google
        • Generic OIDC
      • Brand
    • Connection settings
    • Project settings
    • User settings
    • Roles and permissions
  • Quick guides
    • Interactive control guides
      • Date ranges
      • Date groupings
      • Search
      • Select All
  • Resources
    • Join the Slack community
  • Blog
  • Security overview
  • Terms of use
  • Pricing FAQ
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On this page
  • Creating a new connection
  • Supported databases
  • Demo connection
  • How the connection works
  • Connection settings
  • Deleting a connection
  1. Connect your data

Database connection overview

Get started by connecting your database or dbt to Countdbt

Previous4. AlertsNextAthena

Last updated 4 months ago

Creating a new connection

Workspace owners and admins can create a database connection using the Connect a database button in the sidebar of the workspace home page.

Supported databases

Count supports many of the most popular databases, and support for more is coming soon.

Information on how to connect to each database can be found on the following pages:

Demo connection

How the connection works

Count is built with security in mind and we have a number of measures in place to protect your data and take care of your database's integrity:

  1. All traffic between your database, Count and any workspace users is fully encrypted using HTTPS and SSL/TLS.

  2. We don't take a copy of your database or alter your tables.

Connection settings

Some settings are common across all database connections:

  • Color - set a custom color for this connection. Cells referencing tables in this connection will have this color by default. The connection color can also be overridden per-canvas.

Deleting a connection

A database connection can be deleted at the bottom of the connection's settings menu.

Deleting a database connection will remove it from any projects that reference it. Any cells that rely on this connection will return errors, and will not return results until switched to a different connection.

Workspace owners and admins can also add Count's demo connection. This connection is a BigQuery instance, so all SQL needs to be written in the BigQuery .

We make sure to protect your database from too much load by only and limiting the number of results which get returned.

More information on our security procedures can be found in our .

Use DuckDB by default for visuals - with this setting enabled, new visuals created while this connection is selected will execute on the in the canvas, rather than on this connection.

Athena
Azure Synapse
BigQuery
Databricks
MySQL
PostgreSQL
Redshift
Snowflake
SQL Server
standard SQL syntax
running queries when necessary
Security overview
in-memory database
Connecting the demo database