Developer Tools · head to head
Cortex vs Tinybird

Cortex
Developer Tools
Internal developer portal that scores service ownership and maturity rather than just cataloguing services
- From
- On request
- Free plan
- No

Tinybird
Databases
Managed ClickHouse with a workflow that turns SQL queries into hosted HTTP APIs
- From
- Free
- Free plan
- Yes
The short version
- Tinybird starts at $25/mo; Cortex prices on request.
- Only Cortex lists service catalogue; only Tinybird lists managed ClickHouse.
- Prices and features on this page were last checked on 31 August 2026.
Where they differ
Only the attributes on which Cortex and Tinybird actually diverge.
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Cortex
- Service catalogue
- Scorecards
- Initiatives
- Self-service templates
- Query language
- Eng intelligence
- Integrations layer
- On-call and ownership mapping
Only in Tinybird
- Managed ClickHouse
- Pipes as APIs
- Events HTTP endpoint
- Streaming connectors
- Materialized views
- Git-based workflow
- Token-scoped auth
- Observability
What people use each for
The jobs each tool is most often brought in to do.
Cortex
- A platform team that needs to prove to leadership how far a Kubernetes or framework migration has actually progressed across hundreds of servicesnot Tinybird
- An organisation where ownership of production services is genuinely unknown after reorganisations or acquisitionsnot Tinybird
- Enforcing production readiness standards on new services at creation time rather than at incident reviewnot Tinybird
- Replacing a self-hosted Backstage that is consuming a full-time engineer or two just to stay upgradednot Tinybird
Tinybird
- A SaaS product adding a per-customer usage dashboard that must render in under a second across billions of eventsnot Cortex
- A team building rate limiting or fraud checks that need an aggregate over the last few minutes returned inside a request cyclenot Cortex
- A data team offloading interactive operational dashboards from Snowflake, where per-query warehouse cost makes constant refresh untenablenot Cortex
- A game or ad-tech company ingesting a high-volume event stream and exposing live counters back to customers through an APInot Cortex
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Cortex
- Pricing is quote only, so a platform team cannot build a business case or compare against the true cost of self-hosted Backstage without entering a sales cycle first
- The catalogue is only as accurate as the metadata you supply, so an organisation with inconsistent repository conventions spends its first quarter cleaning data before any scorecard means anything
- Scorecards create political friction: publishing a per-team grade turns an engineering standard into a performance metric, and teams will game the rules rather than fix the underlying issue
- It is closed source and hosted, so organisations with strict data residency or air-gap requirements have limited options compared with running Backstage themselves
- Value scales with organisation size, so a company with fifty engineers and thirty services will find the catalogue tells them nothing they did not already know while still paying an enterprise contract
Tinybird
- It is ClickHouse underneath, so it inherits ClickHouse limits: multi-table joins degrade badly at scale, updates and deletes are expensive mutations rather than cheap operations, and a poorly chosen sorting key at table creation cannot be fixed without rebuilding the data
- Compute is metered per vCPU-second with overage at 0.0002 USD per second, so an inefficient query shipped to production shows up directly on the invoice rather than merely running slowly
- Only the Enterprise tier gets horizontal scaling and dedicated infrastructure; Free, Developer and SaaS all run on shared infrastructure with vertical scaling only, which caps both isolation and headroom for anyone not on a custom contract
- Storage is billed at 0.058 USD per gigabyte on top of compute, and egress is charged separately at 0.01 USD per gigabyte intra-cloud and 0.10 USD inter-cloud, so a high-fanout API serving many small responses accrues costs in three places at once
- You are building on a proprietary workflow around an open database: the pipes, tokens and API layer are Tinybird specific, so leaving means keeping your data but rewriting the entire serving layer you adopted Tinybird to avoid writing
Pricing, plan by plan
Cortex
On request- CortexOn request
- Service catalogue and ownership mapping
- Scorecards and initiatives
- Self-service templates
Tinybird
Free- FreeFree
- 0.25 vCPU on shared infrastructure
- 10 GB storage included
- 1,000 requests per day
- Developer$25/mo
- 0.5 vCPU scaling to 8 vCPU
- 25 GB storage included
- Two replicas
- SaaSOn request
- Up to 32 vCPU
- 500 GB storage included
- Four to sixteen threads per request
- EnterpriseOn request
- Unlimited vCPU and bottomless storage
- Dedicated infrastructure and private regions
- Vertical and horizontal scaling
Which should you pick?
Choose Cortex if
- You need service catalogue.
- You work on Web, API.
- You also want scorecards.
Choose Tinybird if
- You need managed clickhouse.
- You want to start without paying.
- You work on Web, Linux, macOS.
- You also want pipes as apis.
Questions people ask
- Is Cortex or Tinybird better?
- Neither clearly leads. Cortex starts at On request and Tinybird at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cortex or Tinybird?
- Tinybird has a free tier; the other does not. Paid plans start at On request for Cortex and Free for Tinybird.
- Does Cortex or Tinybird run on more platforms?
- Cortex runs on Web, API. Tinybird runs on Web, Linux, macOS.
- Can I use Tinybird for free?
- Yes. Tinybird has a free tier, so you can try it without paying. Cortex starts at On request.
- What is Cortex best used for?
- Cortex is most often used for a platform team that needs to prove to leadership how far a kubernetes or framework migration has actually progressed across hundreds of services, an organisation where ownership of production services is genuinely unknown after reorganisations or acquisitions, enforcing production readiness standards on new services at creation time rather than at incident review, replacing a self-hosted backstage that is consuming a full-time engineer or two just to stay upgraded. Of those, a platform team that needs to prove to leadership how far a kubernetes or framework migration has actually progressed across hundreds of services and an organisation where ownership of production services is genuinely unknown after reorganisations or acquisitions are not what Tinybird is typically brought in for.
- What can Cortex do that Tinybird cannot?
- Cortex covers Service catalogue, Scorecards, Initiatives, Self-service templates. Tinybird covers Managed ClickHouse, Pipes as APIs, Events HTTP endpoint, Streaming connectors.
Answered from the vendors’ own pages
Cortex: How is Cortex different from Backstage?
Backstage is an open source framework you build and staff. Cortex is a hosted product with scorecards and initiatives out of the box and no platform team required to keep it running.
Tinybird: Is Tinybird just hosted ClickHouse?
No. The database is ClickHouse, but the product is the layer above it: publishing parameterised SQL as authenticated, rate-limited REST endpoints without writing an API server.
Cortex: Is pricing published?
No. Cortex requires a sales conversation and prepares a custom proposal.
Tinybird: What does it actually cost?
Free tier at 1,000 requests a day, Developer from 25 USD a month, then compute at 0.0002 USD per vCPU-second and storage at 0.058 USD per gigabyte. Higher tiers are quoted.
Cortex: Can it self-host?
It is offered as a hosted product; on-premise arrangements are handled through sales rather than published.
Tinybird: Can I run it on my own infrastructure?
Only on Enterprise, which offers dedicated infrastructure and private regions. Lower tiers are shared multi-tenant cloud.
Cortex: What is the main adoption risk?
Bad or missing service metadata. The catalogue and every scorecard on top of it inherit whatever quality your repositories already have.
Tinybird: Does it handle updates and deletes?
Poorly, as ClickHouse does. Design for append-only event data; frequent mutation is the wrong workload for this engine.
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