Redash vs Tinybird
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.
Tinybird
freemiumTinybird is a real-time data analytics platform that lets developers build and deploy analytical APIs from large datasets in seconds using SQL. It ingests data from Kafka, object storage, or HTTP and makes it queryable with sub-second latency at any scale. Tinybird is designed for developers who need to expose real-time analytics to end users or applications through fast APIs.
| Feature | Redash | Tinybird |
|---|---|---|
| Pricing | freemium | freemium |
| Category | Data & Analytics | Data & Analytics |
| Rating | 4.1 | 4.6 |
| Best For | Engineering and data teams needing collaborative SQL-based dashboards | Developers who need to serve real-time analytics to applications or end users via fast APIs |
| Views | 5 | 5 |
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
- Exceptionally fast analytics APIs
- Developer-friendly SQL workflow
- Scales to billions of rows
Cons
- Primarily limited to analytical use cases
- Cost can grow with query volume
- Multi-database SQL query editor
- Shared dashboards and visualisations
- Parameterised queries and filters
- Scheduled query refreshes and alerts
- Open-source self-hosting support
- Sub-second query latency
- SQL-based API endpoints
- Kafka and streaming ingestion
- Developer-first workflow
- Git-based CI/CD