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Data platforms · llms.txt file breakdown
A real-time data platform helping developers build real-time data products and APIs with a serverless platform.
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# Tinybird LLM Agent Sitemap
## About Tinybird
Tinybird is a real-time data platform that helps developers build real-time data products and APIs. It provides a serverless platform for ingesting, transforming, and serving real-time data through APIs.
### Core Value Proposition
Tinybird provides infrastructure and tooling to build, deploy, and iterate real-time APIs over massive data sets. Get fastest-database-in-the-world performance with zero maintenance overhead, query billions of rows in milliseconds with 99.9% uptime.
### Core Features
- Real-time data ingestion and processing
- SQL-based data transformations
- Instant API generation
- Serverless architecture
- Built-in monitoring and observability
- Native integrations with popular data sources
### Key Capabilities
1. Hosted OLAP Database
- Incremental Materialized Views for 100x query speed
- Automatic view updates
- Zero maintenance overhead
- 99.9% uptime guarantee
2. Real-time APIs
- Deploy any query as a scalable OpenAPI endpoint
- Auto-generated Swagger docs
- Built-in observability
- Dynamic query parameters
- Token-based auth and rate-limiting
- Scale to 1k+ RPS at sub-second latency
3. Events API
- Stream JSON at 1K+ RPS
- Direct POST from apps or serverless functions
- No complex streaming infrastructure needed
4. Developer Experience
- Complete CLI for local development
- Data defined as code
- Git-based version control
- Painless schema migrations
- Built-in observability
- AI-powered development with vibe code
## Tinybird Documentation
The documentation for the product is available at https://www.tinybird.co/docs and you can have more context about it there. Also, check the https://www.tinybird.co/docs/llms.txt and https://www.tinybird.co/docs/llms-full.txt for more context about the product.
## Static Pages
- [Tinybird · Ship faster with Managed ClickHouse®](https://www.tinybird.co/)
- The data infrastructure and tooling to ship enterprise grade analytical features faster and at a fraction of the cost
- [AI Developer Experience - ClickHouse for Developers & Agents | Tinybird](https://www.tinybird.co/product/ai)
- Build, test, and ship real-time analytics with local dev, branches, CI/CD, and AI agent skills. All the power of ClickHouse, none of the ops.
- [Pricing · Tinybird](https://www.tinybird.co/pricing)
- Tinybird's pricing scales elastically based on compute, so you pay based on the value and insights delivered to your users.
- [Data Ingestion - Any Source, Real-Time, Fully Managed | Tinybird](https://www.tinybird.co/product/ingest)
- Ingest data from any source into Tinybird: Events API, Kafka, S3, GCS, and files. Real-time, reliable, and fully managed. Start ingesting in minutes.
- [Query — SQL APIs, BI Tools & MCP Server | Tinybird](https://www.tinybird.co/product/query)
- Publish low-latency SQL APIs, connect BI tools like Grafana and Tableau directly, or let AI agents query your data through MCP. One platform, every interface.
- [Kafka Connector - Real-Time SQL on Kafka Data | Tinybird](https://www.tinybird.co/product/kafka)
- Connect your Kafka topic to Tinybird for real-time SQL queries. Fully managed ingestion pipeline with auto-scaling. No infrastructure to manage.
- [Managed ClickHouse for Developers · Tinybird](https://www.tinybird.co/product/managed-clickhouse)
- Tinybird is a managed ClickHouse service for AI-native software teams. Get the performance of ClickHouse without the pain of managing it, and focus on shipping your use case, not scaling a new database.
- [Schema Iteration - Zero Downtime Migrations | Tinybird](https://www.tinybird.co/product/schema-iteration)
- Evolve your data model safely with zero downtime. Automatic backfills, smart migrations, and staging environments — ship schema changes like code with Tinybird.
- [Branches — Develop and Test with Production Data | Tinybird](https://www.tinybird.co/product/branches)
- Create ephemeral environments to develop, test, and iterate with real production data. Ship with confidence using Tinybird Branches.
- [Workspace - Monitor, Explore & Operate Your Data Infrastructure | Tinybird](https://www.tinybird.co/product/workspace)
- Deploy with the CLI, monitor from your workspace. Real-time resource summaries, deployment tracking, query playgrounds, observability, and logs. All in one place.
- [Blog · Tinybird](https://www.tinybird.co/blog)
- Musings on transformations, tables and everything in between.
- [Customer Stories · Tinybird](https://www.tinybird.co/customer-stories)
- We help software teams ship features with massive data sets.
- [Templates · Tinybird](https://www.tinybird.co/templates)
- Explore our collection of templates
- [Glossary · Tinybird](https://www.tinybird.co/glossary)
- Definitions of the real-time analytics, OLAP, and Tinybird-specific terms you'll see across the docs and product.
- [About us · Tinybird](https://www.tinybird.co/about)
- We build tools developers love, and data teams trust. Tinybird isn’t just a fast database. Tinybird makes YOU faster.
- [Contact Sales · Tinybird](https://www.tinybird.co/contact-us)
- Get in touch with our sales team.
- [ClickHouse® for Developers • Tinybird](https://www.tinybird.co/clickhouse-for-developers)
- A video series for developers that simplifies ClickHouse and teaches how to build fast, efficient analytics products.
- [Tinybird Builds • Live coding with Tinybird and friends](https://www.tinybird.co/builds)
- Subscribe to Tinybird Builds, featuring live builds of real-time analytics projects from end to end. Learn how to master ClickHouse live.
- [Observability · Tinybird](https://www.tinybird.co/observability)
- The Simple, High‑Performance Observability Stack
- [Data Crash Course · Tinybird](https://www.tinybird.co/data-crash-course)
-
## Customer Stories
- [How Guideless uses Tinybird to build training people actually finish](https://www.tinybird.co/customer-stories/guideless)
- Real-time engagement analytics without a separate analytics backend
- Customer: Guideless
- [Slate scopes product ideas around users, not infrastructure](https://www.tinybird.co/customer-stories/slate)
- Scoping product ideas around users, not infrastructure.
- Customer: Slate
- [How Zernio scaled to 6M daily posts on a 7-person team with Tinybird](https://www.tinybird.co/customer-stories/zernio)
- Scaling social media analytics on a 7-person team.
- Customer: Zernio
- [Maple: an open-source observability platform built with Tinybird's TypeScript SDK](https://www.tinybird.co/customer-stories/maple)
- Zero infrastructure, AI-accelerated development, and two projects shipped simultaneously.
- Customer: Maple
- [How Order Editing Replaced a Failing DynamoDB Pipeline with Tinybird](https://www.tinybird.co/customer-stories/orderediting)
- From reconciliation failures to reliable analytics for 2,000+ Shopify merchants.
- Customer: Order Editing
- [The Linux Foundation tracks 700M+ open source events in real-time with Tinybird](https://www.tinybird.co/customer-stories/linux-foundation)
- Real-time open source project analytics with Tinybird.
- Customer: The Linux Foundation
- [How Fever Made Real-Time Partner Reporting Reliable Under Load with Tinybird](https://www.tinybird.co/customer-stories/fever)
- Real-Time partner reporting reliable under load with Tinybird.
- Customer: Fever
- [Scrunch ships AI search analytics from decision to production in 48 hours with Tinybird](https://www.tinybird.co/customer-stories/scrunch)
- Shipping real-time AI search features faster with Tinybird
- Customer: Scrunch
- [Humblytics cuts infrastructure costs 10x by migrating from Timescale to Tinybird](https://www.tinybird.co/customer-stories/humblytics)
- Cutting costs 10x and eliminating database sprints with Tinybird.
- Customer: Humblytics
- [How Sync bills for real-time AI model usage with Tinybird](https://www.tinybird.co/customer-stories/sync)
- Building real-time, usage-based billing for AI-powered lip syncing.
- Customer: Sync
- [Marc Lou gets ClickHouse® performance without ClickHouse complexity using Tinybird](https://www.tinybird.co/customer-stories/marc-lou)
- Getting ClickHouse performance without ClickHouse complexity.
- Customer: Marc Lou
- [Framer upgrades user-facing analytics to real-time with Tinybird](https://www.tinybird.co/customer-stories/framer)
- Upgraded user‑facing analytics to real‑time with Tinybird.
- Customer: Framer
- [Phantom gives crypto traders faster buy/sell decisions with Tinybird](https://www.tinybird.co/customer-stories/phantom)
- Giving crypto traders faster buy/sell decisions with Tinybird.
- Customer: Phantom
- [How Raindrop became the Sentry of AI: Scaling to petabytes with Tinybird](https://www.tinybird.co/customer-stories/raindrop)
- Becoming the Sentry of AI: Scaling to petabytes with Tinybird
- Customer: Raindrop
- [Clearwater Dynamics uses Tinybird to power its maritime insurtech solution](https://www.tinybird.co/customer-stories/clearwater-dynamics)
- Powering analytics for millions of vessel position reports daily.
- Customer: Clearwater Dynamics
- [Resend delivers email metrics to builders with Tinybird](https://www.tinybird.co/customer-stories/resend)
- Delivering email metrics to builders with Tinybird
- Customer: Resend
- [Zembula fast-tracks its roadmap with Tinybird](https://www.tinybird.co/customer-stories/zembula)
- Real-time email attribution with Tinybird.
- Customer: Zembula
- [Plain builds real‑time customer support insights with Tinybird](https://www.tinybird.co/customer-stories/plain)
- Building real‑time customer support insights with Tinybird.
- Customer: Plain
- [Blacksmith builds faster CI analytics with Tinybird](https://www.tinybird.co/customer-stories/blacksmith)
- Building faster CI analytics with Tinybird.
- Customer: Blacksmith
- [Audiense evolves its social media timeline with Tinybird](https://www.tinybird.co/customer-stories/audiense)
- Unleashing the value of X data with Tinybird.
- Customer: Audiense
- [Dub shortens time to market for user-facing analytics with Tinybird](https://www.tinybird.co/customer-stories/dub)
- Faster to market for user‑facing analytics with Tinybird.
- Customer: Dub
- [Genially uses Tinybird to display realtime content interaction metrics for their customers](https://www.tinybird.co/customer-stories/genially-uses-tinybird-to-display-realtime-metrics)
- Real-time content interaction metrics with Tinybird.
- Customer: Genially
- [LocalStack scales product analytics with Tinybird](https://www.tinybird.co/customer-stories/localstack-relies-on-tinybird-to-understand-and-improve-their-product)
- Analyzing 100,000+ instances in realtime with Tinybird.
- Customer: LocalStack
- [Situm relies on Tinybird to accelerate the speed of data processing and querying at scale](https://www.tinybird.co/customer-stories/situm-accelerates-data-processing-and-querying-with-tinybird)
- Faster IoT data processing at scale with Tinybird.
- Customer: Situm
- [Smartme Analytics builds complete consumer insights with Tinybird](https://www.tinybird.co/customer-stories/smartme-analytics)
- Building complete consumer insights with Tinybird.
- Customer: Smartme Analytics
- [The Hotels Network relies on Tinybird to help customers turn lookers into bookers](https://www.tinybird.co/customer-stories/the-hotels-network-realtime-analytics-with-tinybird)
- Turning lookers into bookers with Tinybird.
- Customer: The Hotels Network
- [Canva designs brilliant user experiences with Tinybird](https://www.tinybird.co/customer-stories/canva)
- Designing brilliant user experiences with Tinybird.
- Customer: Canva
- [Factorial builds real‑time data products with Tinybird](https://www.tinybird.co/customer-stories/factorial-builds-real-time-data-products-with-tinybird)
- Building real‑time data products with Tinybird.
- Customer: Factorial
- [FanDuel scores big with real‑time insights via Tinybird](https://www.tinybird.co/customer-stories/fanduel)
- Scoring big with real‑time insights via Tinybird.
- Customer: FanDuel
- [Vercel uses Tinybird to help developers ship code faster](https://www.tinybird.co/customer-stories/vercel-relies-on-tinybird-to-power-their-realtime-user-facing-analytics)
- Using Tinybird to help developers ship code faster
- Customer: Vercel
## Templates
- [OpenTelemetry](https://www.tinybird.co/templates/opentelemetry)
- Instrument your application with Tinybird and OpenTelemetry
- Categories: monitoring, opentelemetry, foundation
- [Web Analytics](https://www.tinybird.co/templates/web-analytics-starter-kit)
- Build your own real-time web analytics app using Tinybird
- Categories: dashboard, nextjs, starter, foundation, analytics
- [Analytics Agents](https://www.tinybird.co/templates/analytics-agents)
- Build your own analytics agent using Tinybird
- Categories: ai, starter, agno, slack, python
- [Logs Explorer](https://www.tinybird.co/templates/logs-explorer-template)
- Build your own real-time logs explorer using Tinybird
- Categories: dashboard, nextjs, starter, foundation, analytics
- [LLM Tracker](https://www.tinybird.co/templates/ai-analytics-template)
- Build your own real-time LLM usage tracker
- Categories: dashboard, nextjs, starter, foundation, analytics, ai, clerk
- [Organization Metrics](https://www.tinybird.co/templates/tinybird-org-metrics)
- Monitor your Tinybird organization metrics
- Categories: monitoring, datadog, grafana, organizations, foundation
- [Ghost CMS](https://www.tinybird.co/templates/ghost-tinybird)
- Analyze your Ghost CMS metrics with Tinybird
- Categories: ghost, foundation, analytics
- [URL Shortener](https://www.tinybird.co/templates/dub)
- Build an URL shortener with Dub and Tinybird
- Categories: analytics, starter, nextjs
- [Inbox Zero](https://www.tinybird.co/templates/inbox-zero)
- Build an AI email assistant to reach inbox zero
- Categories: analytics, starter, nextjs, ai
- [Clerk JWT](https://www.tinybird.co/templates/clerk-jwt)
- Build multi-tenant apps with Clerk and Tinybird
- Categories: jwt, demo, clerk
- [Auth0 JWT](https://www.tinybird.co/templates/auth0-jwt)
- Build multi-tenant apps with Auth0 and Tinybird
- Categories: jwt, demo, auth0
- [MCP Analytics](https://www.tinybird.co/templates/mcp-server-analytics)
- Monitor your MCP server logs with Tinybird
- Categories: monitoring, grafana, starter, ai
- [Vercel Log Drains](https://www.tinybird.co/templates/vercel-log-drains)
- Explore your Vercel logs with Tinybird
- Categories: dashboard, nextjs, starter, analytics
## Blog Posts
- [Druid vs ClickHouse®: Segments or Parts](https://www.tinybird.co/blog/md/druid-vs-clickhouse)
- What you rebuild when product adds a dimension: ingest-time cube versus query-time sort key.
- Published: 2026-09-30 00:00:00
- Updated: 2026-09-30 00:00:00
- [Druid vs Databricks: Cube or Lakehouse](https://www.tinybird.co/blog/md/druid-vs-databricks)
- When a SQL warehouse is ineligible, and when a closed cube is cheaper than leaving Photon up.
- Published: 2026-09-30 00:00:00
- Updated: 2026-09-30 00:00:00
- [Firebolt vs Athena: Index or Scan](https://www.tinybird.co/blog/md/firebolt-vs-athena)
- Why $5/TB looks cheap until the dashboard refresh rate multiplies the scan.
- Published: 2026-09-30 00:00:00
- Updated: 2026-09-30 00:00:00
- [Firebolt vs Druid: Engines or Segments](https://www.tinybird.co/blog/md/firebolt-vs-druid)
- Idle FBU hours versus always-on Historicals, and why CREATE STREAM is not a supervisor.
- Published: 2026-09-30 00:00:00
- Updated: 2026-09-30 00:00:00
- [On-demand compute for scheduled Copy Pipes](https://www.tinybird.co/blog/md/on-demand-compute-for-copy-jobs)
- Run scheduled Copy Pipes on temporary dedicated compute by adding ON_DEMAND_COMPUTE true to the datafile.
- Published: 2026-09-25 13:00:00
- Updated: 2026-09-25 13:00:00
- [8 Best Cloud Data Warehouses in 2026](https://www.tinybird.co/blog/md/best-cloud-data-warehouse)
- How 8 cloud warehouses bill and serve the same 5 production queries, from credits and scan pricing to RPUs, engine-hours, and vCPU.
- Published: 2026-09-23 00:00:00
- Updated: 2026-09-23 00:00:00
- [8 Data Warehousing Vendors in 2026](https://www.tinybird.co/blog/md/data-warehousing-vendors)
- How warehousing vendors sell contracts, lock in identity planes, and price a switch, ranked by who you sign with rather than by SQL.
- Published: 2026-09-23 00:00:00
- Updated: 2026-09-23 00:00:00
- [Druid vs Athena: Segments or Files](https://www.tinybird.co/blog/md/druid-vs-athena)
- How an indexed stream and a priced S3 scan execute the same GROUP BY: supervisor specs, Iceberg layout, and 3 cost scenarios.
- Published: 2026-09-23 00:00:00
- Updated: 2026-09-23 00:00:00
- [Time Series Database Example in SQL](https://www.tinybird.co/blog/md/time-series-database-example)
- A per-tenant API latency workload in SQL: event-time rollups, late data, cardinality math, and where series-based engines break the same schema.
- Published: 2026-09-23 00:00:00
- Updated: 2026-09-23 00:00:00
- [How to compare top databases in 2026](https://www.tinybird.co/blog/md/compare-top-databases)
- How to compare top databases by workload, not hype. OLTP SQL, operational NoSQL, warehouses, and columnar OLAP ranked by query shape.
- Published: 2026-09-14 00:00:00
- Updated: 2026-09-14 00:00:00
- [High-performance NoSQL when keys beat joins](https://www.tinybird.co/blog/md/high-performance-nosql)
- High-performance NoSQL for keyed reads and write-heavy counters: wide-column design, compaction, consistency levels, and when to add columnar SQL.
- Published: 2026-09-14 00:00:00
- Updated: 2026-09-14 00:00:00
- [Low latency database from keys to rollups](https://www.tinybird.co/blog/md/low-latency-database)
- Low latency dMeasured from the saved file
Size measures the captured UTF-8 text, not compressed transfer size. Tokens are counted with a named tokenizer; other models can count differently. Neither measure establishes context compatibility or answer quality.
Context architecture
6 H2 sections organize 737 parsed Markdown links. 0 links point to .md or .markdown paths; 0 link occurrences use another hostname. Linked destinations have not been recursively validated.
| H2 section | Links | UTF-8 bytes | Tokens |
|---|---|---|---|
| About TinybirdLine 3 | 0 | 1502 | 335 |
| Tinybird DocumentationLine 46 | 0 | 263 | 63 |
| Static PagesLine 49 | 20 | 4036 | 938 |
| Customer StoriesLine 112 | 30 | 6576 | 1580 |
| TemplatesLine 205 | 13 | 2272 | 582 |
| Blog PostsLine 259 | 674 | 219988 | 64534 |
Link counts exclude parsed fenced and inline code and resolve relative destinations against the final endpoint. Section sizes cover the text below each H2 until the next H2.
Embedded material
Embedded example text and links to further documentation are counted separately. A code block does not establish that a sample runs or that an authentication flow succeeds.
Publisher prioritization
No H2 section named “Optional” was detected in this file.
The community proposal uses Optional by convention for secondary links that can be skipped for a shorter context. This label does not establish that everything outside it is critical, or that the material inside it is deprecated.
Machine-readable routes
MCP-related text was detected in the captured file. 9 links have MCP-related labels or paths. 0 fenced lines match mcpServers, mcp_servers or an mcp add command.
These are text and link observations. No MCP server connection, authentication or tool call was tested.
Index and bundle
Not established
A verified text response establishes a companion at the checked URL. It does not prove the bundle contains all product documentation, that generation is automated, or that it fits an assistant’s context window.
Change evidence
This capture establishes a baseline. Update frequency cannot be determined from one observation.
13 links have release, changelog, deprecation or migration terms in their labels or paths. These provide places to investigate product changes separately.
File changes can reveal documentation edits or navigation changes. They do not by themselves measure product release velocity, accuracy, agent adoption or AI visibility.
b0b2adb3e973161dc85106d75248aa9bd89f6c0ec5151973fd45071327d443d5Counts use a deterministic parser, not a spec-compliance grade. Unusual Markdown and indented code can fall outside its recognized patterns. See the llms.txt proposal and tokenizer implementation.