Redash vs Braintrust
Side-by-side comparison to help you choose the best tool.
Redash
freemiumOpen-source data querying and visualisation tool that connects to multiple databases and lets teams create and share dashboards from SQL queries. Redash is designed for data analysts and engineers who prefer writing SQL to explore and visualise data from any connected source. Teams can collaborate on queries, create parameterised dashboards, and schedule automated data refreshes.
Best for: Engineering and data teams needing collaborative SQL-based dashboards
Visit Redash
Braintrust
freemiumBraintrust is an enterprise-grade platform for evaluating, testing, and monitoring AI applications. It provides a full evaluation loop with dataset management, scoring functions, tracing, and a collaborative UI for reviewing LLM outputs across teams.
Best for: AI engineering teams building and evaluating production LLM applications
Visit Braintrust
Feature Comparison
| Feature | Redash | Braintrust |
|---|---|---|
| Pricing | freemium | freemium |
| Category | Data & Analytics | Data & Analytics |
| Rating | 4.1 | 4.5 |
| Best For | Engineering and data teams needing collaborative SQL-based dashboards | AI engineering teams building and evaluating production LLM applications |
| Views | 5 | 2 |
Pros & Cons — Redash
Pros
- Free open-source self-hosted option
- Great for SQL-proficient teams
- Simple and clean dashboard sharing
Cons
- Limited AI features compared to competitors
- Requires SQL knowledge for most tasks
Pros & Cons — Braintrust
Pros
- Great UX
- Strong enterprise features
- Flexible scoring
Cons
- Cost at scale
- Newer platform
Key Features — Redash
- Multi-database SQL query editor
- Shared dashboards and visualisations
- Parameterised queries and filters
- Scheduled query refreshes and alerts
- Open-source self-hosting support
Key Features — Braintrust
- LLM evaluation platform
- Dataset management
- Tracing and logging
- Custom scorers
- Team collaboration