Stop wasting dev cycles tuning MySQL.
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Fair warning: Don't be surprised at how fast you can ship with Tinybird. We'll show you how.
Here's a simple question:
Without Tinybird,
you have to:
- Waste precious dev cycles tuning MySQL
- Build complex and expensive ETLs
- Field user complaints about timeouts, missing data, and slow dashboards
With Tinybird,
you get to:
- Get sub-second queries at billion-row scale
- Ship without learning an esoteric new database
- Use a database that *just works* for analytics—no fine tuning needed
Forget about your database and just ship
Build more
Outpace your competitors by shipping. Focus less on infra and more on what matters: Saying "yes" to your users.
Ship faster
Tinybird manages all of the data infrastructure so you can focus on feature work. Most devs ship their first MVP in a day.
Work linearly
Small teams trust Tinybird so they can build insanely fast data features without learning complex new tech.
Based on ClickHouse
Get the full power of the world's fastest OLAP database—without the hassle of actually managing it in production.
Less infra
Tinybird handles ingestion, load balancing, cluster scaling, HA, upgrades, and backups. Get more out of your database with less effort.
Lower cost
Tinybird is more cost efficient than Postgres for analytics. Just $25/month gets you trillion-row storage and compute to serve 10k+ queries/day.
Less complex
Avoid tool sprawl and heavy infra. Tinybird hosts your entire analytics pipeline, from ingestion to API, with comfy abstractions to help you ship.
Easy migration
Stream events directly from your app with HTTP or set up serverless sync jobs between your Postgres and Tinybird.
Great support
Need help from an analytics expert? Our support team is a bunch of data engineers with decades of OLAP experience.
Start for free.
Scale effortlessly.
$49/month
Shared infrastructure
- 0.5 vCPUs
- 1 thread/request
- 15 QPS
- 25GB included storage
- Vertical scaling
- 2 replicas included
- Standard support
Custom
Shared infrastructure
- Up to 32 vCPUs
- 4 to 16 threads/request
- Starting at 55 QPS
- 500GB included storage
- Vertical scaling
- 2 replicas included
- Enterprise support available
- Yearly commitments discount
Custom
Dedicated infrastructure
- Unlimited vCPUs
- Custom threads/request
- Starting at 80 QPS
- Bottomless storage
- Vertical and horizontal scaling
- Cluster management
- Private regions available
- Enterprise support included
- Yearly commitments discount
- Shared infrastructure
- 0.25 vCPUs
- 1 thread/request
- 10 QPS max
- 10GB included storage
- Community support
“Tinybird lets us go from raw data to production-ready features faster than anything else, with less ceremony, less overhead, and less concern about running it in production.”
Robert MacCloy
CTO & Co-founder
Get back to feature work and ship analytics with Tinybird.
FAQs
Why is Tinybird faster than MySQL for analytics?
MySQL is a row-based transactional database optimized for OLTP workloads. Tinybird uses ClickHouse, the world's fastest open source columnar database purpose-built for analytics (OLAP). For analytical queries scanning millions of rows, columnar storage reads only the columns you need, while MySQL must read entire rows. This makes Tinybird 100-1000x faster on aggregate queries, especially on large datasets.
Do I need to learn a new query language?
If you know SQL, you're already 95% there. ClickHouse SQL is very similar to ANSI SQL with familiar syntax for SELECT, JOIN, GROUP BY, and window functions. The main differences are in data types and some functions optimized for analytics. Most MySQL queries can be adapted in minutes.
How is Tinybird different from self-hosted ClickHouse?
Tinybird provides managed ClickHouse with zero infrastructure overhead. We handle cluster management, sharding, replication, and upgrades. Beyond that, we add a hosted API layer that turns your SQL queries into REST APIs instantly, managed ingestion with streaming via HTTP, and a local-first development environment. You get all the power of ClickHouse without the operational complexity.
Can I keep using MySQL for transactions and use Tinybird for analytics?
Of course. This is a common pattern. Keep MySQL as your transactional database, then stream changes to Tinybird via CDC (Change Data Capture) or periodic syncs. Or, just start sending time-series events directly to Tinybird using our lightweight Events API. Tinybird handles real-time ingestion and serves lightning-fast analytics queries, while MySQL handles your OLTP workload. Best of both worlds.
How do I get data from MySQL into Tinybird?
Several options: (1) Use CDC tools like Debezium or Sequin to stream changes in real-time, (2) Batch sync with the MySQL table function and serverless copy jobs on Tinybird, (3) Application-level dual writes to both systems, or (4) Use our Events API to stream time-series data directly from your application. Most customers start with option 2 but quickly move to option 4 (The Events API is amazing).
Is Tinybird more expensive than MySQL?
If your use case is analytics on time series data, Tinybird will almost certainly be cheaper. Tinybird offers a generous free tier (up to 1,000 API requests and 10GB processed per day). Paid plans start at $25/month with scaling based on compute needs. For most teams, offloading analytics from MySQL to Tinybird significantly reduces costs by avoiding expensive MySQL read replicas while delivering 100x faster queries. Not to mention all the time you're going to save not scaling your MySQL cluster.