chartbrew
Create live KPI dashboards from databases and APIs without BI overhead
AI Summary
Chartbrew is a dashboard tool that enables product teams to create live KPI dashboards from databases, APIs, and analytics tools. It offers reusable datasets, AI-powered query creation, automation, and various sharing options. The tool can be used as a cloud solution or self-hosted.
✓ Pros
- + Reusable datasets avoid duplicate work and can be shared across teams
- + AI Assistant helps with writing SQL queries and data exploration
- + Self-hosting option provides full control over data and infrastructure
✗ Cons
- − No detailed pricing information visible at first glance
- − Setup requires technical understanding of databases and APIs
Use Cases
- → Track SaaS metrics like MRR, churn, activation, and product usage in real-time
- → Create internal KPI dashboards for revenue, signups, and team performance
- → Provide client reporting for agencies with controlled access rights
- → Embed live charts and dashboards directly into your own product
Who is it for?
Ideal for product teams, SaaS companies, and agencies that need live KPI dashboards without cumbersome BI tools.
Tags
What is chartbrew?
Chartbrew is a dashboard tool that connects to databases, APIs and analytics services to generate live KPI dashboards. The approach differs from classic BI suites: Chartbrew targets product teams that want to surface operational metrics quickly, without building a full data warehouse. The tool runs as a cloud service or can be self-hosted.
Core features
- Reusable datasets: Data sources created once are available across teams. Queries do not need to be rewritten for every chart.
- AI-assisted query building: An integrated assistant helps with writing SQL queries and makes initial data exploration easier.
- Live charts with embed option: Visualisations can be embedded directly into external products, which is relevant for SaaS teams with customer-facing dashboards.
- Access control for client reporting: Agencies can deliver dashboards to clients with controlled access permissions.
- Self-hosting: Teams that do not want to transfer data to a third-party cloud environment can run Chartbrew on their own infrastructure.
- Automations: Dashboards and reports can be updated and distributed automatically.
Who is chartbrew for?
The primary use case is in the SaaS space: pulling MRR, churn rate, activation rates and usage metrics from a database directly into a dashboard, without involving a separate BI team. Agencies benefit from the ability to build multi-tenant reporting structures.
Anyone who wants to self-host Chartbrew needs basic knowledge of database administration and container deployment. Those who have never configured an API connection should expect to spend time on setup even in the cloud version.
Context & alternatives
Chartbrew occupies the space between simple chart plugins and full BI platforms such as Metabase or Redash. All three allow SQL-based visualisations, but Metabase and Redash are more focused on analytical exploration. Chartbrew prioritises operational dashboards and embedding charts into third-party products.
Teams already running a data warehouse and needing complex data models will hit the limits of Chartbrew. Those who want to visualise directly against production databases or REST APIs, without building BI infrastructure, will reach their goal faster with Chartbrew.
