Tinybird
Tinybird Inc. is a managed ClickHouse data platform that lets software engineering and data teams ingest, query, and ship real-time analytics APIs without operating infrastructure, serving customers like Canva, FanDuel, Vercel, and Resend via a PLG-to-enterprise GTM motion.
- Company typePrivate
- Founded2019
- HeadquartersNew York, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Tinybird does
Tinybird Inc. is a New York- and Madrid-based data infrastructure company founded in 2019 that operates a managed ClickHouse platform with a hosted ingestion layer, hosted API layer, MCP server, and developer tooling layered on top. The platform is designed for software engineers and data teams who need to ship user-facing analytics features without operating ClickHouse clusters, Zookeeper, or custom ingestion pipelines; customers ingest events via HTTP (up to 1,000 req/sec) or via native connectors (Kafka, S3, GCS, Snowflake, BigQuery, Postgres, MySQL, etc.) and publish SQL queries as scalable REST API endpoints with sub-100ms latency. As of mid-2024 the platform serves 30M requests per day, processes 212TB of data daily, and operates across 9 GCP and AWS regions with SOC 2 Type II, HIPAA, and GDPR compliance.
The company monetizes through tiered subscriptions (Free, Developer, SaaS, Enterprise) combined with usage-based overages on vCPU time, storage ($0.34/excess GB), QPS, and LLM credits, with Enterprise contracts on dedicated infrastructure and multi-year terms. Its go-to-market combines product-led growth (free tier, SDKs, CLI, Slack community, engineering newsletter) with sales-assisted enterprise motion anchored by compliance and SSO/SAML. Notable customers include Canva, FanDuel, Vercel, Dub, Resend, The Hotels Network, Plain, and Factorial, spanning SaaS, gaming, hospitality, HR tech, and developer tooling. The company has raised approximately $70M across seed, Series A (April 2022, $37M), and Series B (June 2024, $30M led by Balderton Capital).
Product investment is increasingly oriented toward an AI-focused developer experience: vector search using HuggingFace and OpenAI embeddings, LLM-powered natural-language-to-query features (AI Filter, Visualize with AI), Auto-fix with AI for SQL debugging, an MCP server, and Tinybird Agent Skills that let AI coding agents autonomously build and deploy analytics. This positions the platform to capture the emerging agentic data infrastructure category while continuing to expand its enterprise compliance footprint and global region coverage.
Tinybird firmographics
Firmographics- Name
- Tinybird
- Legal name
- Tinybird Inc.
- Website
- https://tinybird.co
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- Tinybird Inc. is a managed ClickHouse data platform that lets software engineering and data teams ingest, query, and ship real-time analytics APIs without operating infrastructure, serving customers like Canva, FanDuel, Vercel, and Resend via a PLG-to-enterprise GTM motion.
- Ownership category
- akta.pro rank
Tinybird industry classification
Industry- Product category
- Real-time Data Analytics Platform
- NAICS
- Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Managed Databases (Relational/NoSQL/In-Memory DBaaS) (HDABAAAE)
- akta.pro secondary industry
- Query Engines & SQL Analytics Layers for Warehouses/Lakes (HDAEABAI)
Keywords
Where Tinybird is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Tinybird business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations
Revenue model
- Subscription Plans: Tinybird operates on a subscription model with tiered plans (Free, Developer, SaaS, Enterprise). Plans include committed credits or capacity commitments with monthly invoicing. Enterprise plans include dedicated infrastructure, SLAs, and premium support tiers.
- Usage-based consumption: Consumption-based billing for vCPU usage, storage, API requests, and LLM credits beyond plan inclusions. Storage billed at $0.34 per excess GB beyond plan limits. Overages on Tinybird Credits billed at 1.5x Rate Card rates. Additional QPS beyond plan ceiling billed at fixed rate per request.
- Free tier: Free plan with 1,000 queries per day, 10 GB storage, limited vCPU capacity (0.25 vCPU seconds per second with 3x burst), and 1 max thread. Includes $25 LLM credits per billing cycle for AI tools.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier for developers to explore the platform |
| Subscription | Monthly | Developer plans for individual engineers and small teams |
| Hybrid | Monthly | Shared infrastructure SaaS plans for growing teams |
| Subscription | Multi-year contract | Dedicated infrastructure for enterprise workloads |
| Usage-based | Pay-as-you-go | Usage-based overages for exceeding plan limits |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels9 records
Tinybird product offering
Product offeringCore offering
Tinybird is a managed ClickHouse data platform that provides tools for software teams to ingest large volumes of data, query it with sub-second SQL latency, and publish those queries as scalable, low-latency REST API endpoints. The platform handles ingestion via HTTP (up to 1000 req/sec), Kafka, S3, and GCS connectors; query with sub-100ms latency; and offers an integrated MCP server, SDKs, and coding agent skills for AI-driven analytics development.
Product overview
Tinybird is a real-time data analytics platform-as-a-service built on managed ClickHouse. The platform provides a unified data infrastructure stack consisting of core ingestion (Ingest, Kafka Connector), query (Query), and storage (Managed ClickHouse) components, complemented by developer experience tools (AI-focused DevEx, Schema Iteration, Branches, Workspace) and enterprise features (BI & Tool Connections, High Availability, Security and Compliance). Tinybird Local enables local development. The platform enables software teams to build real-time analytics products with sub-second SQL APIs, serving 30M requests/day with sub-100ms query latency across 1.47B monthly requests and 212TB daily processing.
Differentiator
Problem solved
Functional benefit
Products and services
- Managed ClickHouse Production-ready managed ClickHouse database service offering ClickHouse performance with Vercel-level developer experience. Provides serverless scale, automatic schema migrations, Git integration, observability queries, and managed upgrades without infrastructure ownership, eliminating the need to manage Zookeeper, cluster management, and sharding.
- Ingest Data ingestion layer for plugging in data and shipping in minutes. Supports HTTP events API at up to 1000 req/sec, Kafka, S3, and GCS connectors, with stream ingestion and sub-100ms query latency.
- Query Sub-second SQL API generation for querying data. Enables building low-latency APIs from SQL queries suitable for real-time applications and user-facing dashboards, with REST API endpoints publishable with a single click.
- Kafka Connector Real-time analytics connector for Apache Kafka and Confluent Cloud. Enables streaming analytics over Kafka topics with native integration, supported on Confluent Cloud, Amazon MSK, and Redpanda.
- AI-focused DevEx Developer experience built for AI coding agents and developers. Includes coding agent skills, TypeScript SDK, Python SDK, and MCP server integration for building and deploying analytics features with AI agents.
- Branches Zero-copy environments with production data for development and testing. Allows branching workspaces with full production data for safe experimentation without data duplication.
- Workspace Monitor, explore, and operate data infrastructure. Provides observability into data pipelines, endpoints, and resource usage.
- High Availability Fault-tolerance and automatic failovers on enterprise infrastructure. Guarantees performance with isolated resources and uptime commitments (99.9% SLA).
- Security and Compliance Enterprise security with SOC 2 Type II certification, HIPAA compliance, and GDPR compliance. Includes SSO/SAML authentication and role-based access control.
Quantifiable outcome
- 30M requests per day with sub-second latency
- +3 more outcomes
Companies that use Tinybird
Customer profileNamed customers10 records
Segments4 records
Ideal customer profiles3 records
Tinybird technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration45 records
AI capability8 records
Feature9 records
Tinybird partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered core.
- Google Cloud (GCP)coreGCP is used as a hosting infrastructure provider. Tinybird's services are replicated across GCP regions including europe-west2, europe-west3, us-east4, and northamerica-northeast2.
- Amazon Web Services (AWS)coreAWS is used as a hosting infrastructure provider. Tinybird's services are replicated across AWS regions including us-east-1, eu-central-1, eu-west-1, us-west-2, ap-east-1, and ap-southeast-2.
- Apache KafkacoreNative Kafka connector for real-time analytics over Kafka topics. Supported on Confluent Cloud, Amazon MSK, and Redpanda.
- Confluent CloudcoreManaged Kafka service with native Tinybird connector for streaming data ingestion.
- RedpandacoreKafka-compatible streaming platform with native Tinybird connector.
- Amazon S3coreNative S3 connector for ingesting data from and exporting data to S3 buckets.
- Google Cloud Storage (GCS)coreNative GCS connector for ingesting data from Google Cloud Storage.
Scale indicators9 records
Recent moves6 records
Expansion highlights6 records
Tinybird competitors and assessment
Company assessmentDirect peers
- CelerData (StarRocks): Managed StarRocks cloud service for real-time OLAP. Competes directly on low-latency analytical APIs over large event-style data, a workload Tinybird's managed ClickHouse also targets.
- ClickHouse Cloud: ClickHouse Inc.'s own managed ClickHouse service. Directly competes with Tinybird on the same underlying engine, with stronger upstream alignment and the ability to bundle core engine improvements; targets the same low-latency analytics workloads.
- MotherDuck: Serverless analytics platform built on DuckDB. Competes with Tinybird on developer-friendly, low-latency analytical APIs and small-to-medium dataset analytics, though on a different engine.
- Firebolt: Cloud data warehouse engineered for sub-second analytical queries at scale. Targets the same sub-100ms API use cases as Tinybird with a SQL-first, decoupled storage/compute architecture.
- Timeplus: Streaming analytics platform built on a columnar engine for real-time SQL on event streams. Overlaps with Tinybird's real-time ingestion + query proposition, particularly for streaming and event-driven analytics.
- Imply (Apache Druid): Managed Apache Druid service for real-time, high-concurrency analytics. Competes on user-facing dashboards and high-ingest analytics workloads where Tinybird is also active.
- StarTree: Managed Apache Pinot platform for real-time user-facing analytics. Directly comparable on the 'sub-second APIs over high-volume event data' value proposition Tinybird sells to Canva, FanDuel, and similar customers.
Broad incumbents
- Snowflake: Cloud data warehouse incumbent with broad analytics portfolio and massive enterprise footprint. Competes indirectly as customers may standardise on Snowflake instead of adopting a dedicated real-time platform like Tinybird.
- Databricks: Lakehouse platform with SQL Analytics, Photon, and Delta Live Tables. Competes indirectly for the same analytics workloads and increasingly bundles streaming and low-latency features that overlap with Tinybird.
- Confluent: Managed Kafka and streaming data platform. While complementary (Tinybird integrates with Confluent Cloud), Confluent's Flink-based stream processing overlaps with Tinybird's real-time analytics on streaming sources.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights7 records
Customer concentration
Tinybird social profiles
Digital presenceTinybird compliance and trust
Trust signalCompliance3 records
Tinybird financial estimates
Financial estimateRevenue estimate
Valuation estimate
Tinybird leadership team
Management profileNumber of profiles
Profiles6 records
Tinybird funding detail
Funding detailFunding overview
Funding rounds3 records
Investors5 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Tinybird M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Tinybird
What does Tinybird do?
Tinybird is a managed ClickHouse data platform that provides tools for software teams to ingest large volumes of data, query it with sub-second SQL latency, and publish those queries as scalable, low-latency REST API endpoints. The platform handles ingestion via HTTP (up to 1000 req/sec), Kafka, S3, and GCS connectors; query with sub-100ms latency; and offers an integrated MCP server, SDKs, and coding agent skills for AI-driven analytics development.
Is Tinybird a public or private company?
Tinybird is a private company. It is classified as venture growth investor backed and is currently operating.
When was Tinybird founded?
Tinybird was founded in 2019. It employs 51 to 100 people.
Where is Tinybird based?
Tinybird is headquartered in New York, United States, in the North America region.
How does Tinybird make money?
Three revenue lines are on record. Subscription Plans are the primary driver. The others are usage-based consumption and free tier.
Who are Tinybird's main competitors?
Direct peers on record are CelerData (StarRocks), ClickHouse Cloud, MotherDuck, Firebolt, Timeplus, Imply (Apache Druid) and StarTree. Broad incumbents are Snowflake, Databricks and Confluent.
Does Tinybird have an API?
Yes. Tinybird provides a comprehensive REST API for controlling all services as an alternative to the UI and CLI. Available APIs include: Analyze API (file schema generation), Data Sources API (list/create/update/delete Data Sources), Events API (ingest NDJSON events), Jobs API, Organizations API, Pipes API, Query API, Environment Variables API, Sink Pipes API, and Tokens API. Authentication via Bearer token header or URL parameter. Supports TLS (HTTPS), gzip compression, and semantic versioning. Multiple regional endpoints across GCP and AWS (Europe-London, Europe-Frankfurt, US East, North America-Toronto, AWS eu-central-1, eu-west-1, us-east-1, us-west-2, ap-east-1, ap-southeast-2). Developer documentation is at www.tinybird.co/docs/api-reference.
What industry is Tinybird in?
Tinybird's product category is Real-time Data Analytics Platform. Its primary akta.pro industry code is HDABAAAE, Managed Databases (Relational/NoSQL/In-Memory DBaaS), with a secondary code of HDAEABAI, Query Engines & SQL Analytics Layers for Warehouses/Lakes. Its NAICS code is 5132 and its SIC code is 7372.