Databases · head to head
Tinybird vs Zilliz
Tinybird
Databases
Managed ClickHouse with a workflow that turns SQL queries into hosted HTTP APIs
- From
- Free
- Rated
- -
Zilliz
Databases
Managed vector database and vector lakebase for AI applications
- From
- Free
- Rated
- -
The short version
- Each has a real cost: 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.; Zilliz pricing structure not publicly disclosed, requires sales contact
- They diverge on capability: Tinybird covers Managed ClickHouse, Zilliz covers Vector indexing.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Tinybird and Zilliz actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
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 Tinybird
- Managed ClickHouse
- Pipes as APIs
- Events HTTP endpoint
- Streaming connectors
- Materialized views
- Git-based workflow
- Token-scoped auth
- Observability
Only in Zilliz
- Vector indexing
- Distributed architecture
- SQL interface
- Tensor support
- Real-time search
- Cloud-native
- Open-source compatible
What people use each for
The jobs each tool is most often brought in to do.
Tinybird
- A SaaS product adding a per-customer usage dashboard that must render in under a second across billions of eventsnot Zilliz
- A team building rate limiting or fraud checks that need an aggregate over the last few minutes returned inside a request cyclenot Zilliz
- A data team offloading interactive operational dashboards from Snowflake, where per-query warehouse cost makes constant refresh untenablenot Zilliz
- A game or ad-tech company ingesting a high-volume event stream and exposing live counters back to customers through an APInot Zilliz
Zilliz
- Build retrieval-augmented generation (RAG) systemsnot Tinybird
- Implement semantic search over documentsnot Tinybird
- Create multimodal search with text and imagesnot Tinybird
- Power recommendation engines with vector similaritynot Tinybird
- Enable similarity search on user embeddingsnot Tinybird
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
Zilliz
- Pricing structure not publicly disclosed, requires sales contact
- Operational complexity for self-hosted Milvus deployments
- Learning curve for those unfamiliar with vector databases
- Limited built-in analytics compared to some alternatives
Pricing, plan by plan
Tinybird
Free- FreeFree
- 0.25 vCPU on shared infrastructure
- 10 GB storage included
- 1,000 requests per day
- Developer$25/month
- 0.5 vCPU scaling to 8 vCPU
- 25 GB storage included
- Two replicas
- SaaS$undefined/month
- Up to 32 vCPU
- 500 GB storage included
- Four to sixteen threads per request
- Enterprise$undefined/year
- Unlimited vCPU and bottomless storage
- Dedicated infrastructure and private regions
- Vertical and horizontal scaling
Zilliz
FreeNo published plan breakdown. See the Zilliz review.
Which should you pick?
Choose Tinybird if
- You need managed clickhouse.
- You want to start without paying.
- You work on Web, Cloud, Linux, macOS.
- You also want pipes as apis.
Choose Zilliz if
- You need vector indexing.
- You want to start without paying.
- You work on Cloud, Self-hosted.
- You also want distributed architecture.
Questions people ask
- Is Tinybird or Zilliz better?
- Neither clearly leads. Tinybird starts at Free and Zilliz at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Tinybird or Zilliz?
- Tinybird starts at Free and Zilliz at Free.
- Does Tinybird or Zilliz run on more platforms?
- Tinybird runs on Web, Cloud, Linux, macOS. Zilliz runs on Cloud, Self-hosted.
- Can I use Tinybird for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Tinybird best used for?
- Tinybird is most often used for a saas product adding a per-customer usage dashboard that must render in under a second across billions of events, a team building rate limiting or fraud checks that need an aggregate over the last few minutes returned inside a request cycle, a data team offloading interactive operational dashboards from snowflake, where per-query warehouse cost makes constant refresh untenable, a game or ad-tech company ingesting a high-volume event stream and exposing live counters back to customers through an api. Of those, a saas product adding a per-customer usage dashboard that must render in under a second across billions of events and a team building rate limiting or fraud checks that need an aggregate over the last few minutes returned inside a request cycle are not what Zilliz is typically brought in for.
- What can Tinybird do that Zilliz cannot?
- Tinybird covers Managed ClickHouse, Pipes as APIs, Events HTTP endpoint, Streaming connectors. Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support.
Answered from the vendors’ own pages
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.
Zilliz: What is the difference between Milvus and Zilliz Cloud?
Milvus is the open-source vector database that you can self-host. Zilliz Cloud is the fully managed service built on Milvus that removes operational overhead and handles scaling automatically.
SourceTinybird: 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.
Zilliz: How many vectors can Zilliz handle?
Milvus and Zilliz Cloud can store and search billions of vectors through their distributed architecture that separates storage and compute layers.
SourceTinybird: 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.
Zilliz: Is Milvus open-source?
Yes, Milvus is open-source under the Apache License 2.0 and is part of the LF AI & Data Foundation.
SourceTinybird: 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.
Zilliz: What pricing does Zilliz Cloud offer?
Zilliz Cloud pricing is not publicly listed and requires contacting their team to discuss your specific scale and use case requirements.
SourceRelated pages
Other head to heads
- Tinybird vs ClickHouse
- Tinybird vs Apache Pinot
- Tinybird vs Materialize
- Tinybird vs RisingWave
- Tinybird vs Estuary
- Tinybird vs Amazon Redshift
- Tinybird vs Typesense
- Tinybird vs Timeplus
- Tinybird vs Meilisearch
- Tinybird vs SingleStore
- Tinybird vs SurrealDB
- Tinybird vs Teradata
- Tinybird vs TIBCO Enterprise Message Service
- Tinybird vs turbopuffer
- Tinybird vs VerneMQ
- Tinybird vs Apache Doris
- Tinybird vs Apache Druid
- Tinybird vs Qdrant
- Tinybird vs Vespa
- Tinybird vs Marqo
- Tinybird vs DataStax
- Tinybird vs Elasticsearch
- Tinybird vs OpenSearch
- Tinybird vs Apache Solr
- Tinybird vs Readyset
- Tinybird vs StarRocks
- Zilliz vs ClickHouse
- Zilliz vs Apache Pinot
- Zilliz vs Materialize
- Zilliz vs RisingWave
- Zilliz vs Estuary
- Zilliz vs Amazon Redshift
- Zilliz vs Typesense
- Zilliz vs Timeplus
- Zilliz vs Meilisearch
- Zilliz vs SingleStore
- Zilliz vs SurrealDB
- Zilliz vs Teradata
- Zilliz vs TIBCO Enterprise Message Service
- Zilliz vs turbopuffer
- Zilliz vs VerneMQ
- Zilliz vs Apache Doris
- Zilliz vs Apache Druid
- Zilliz vs Qdrant
- Zilliz vs Vespa
- Zilliz vs Marqo
- Zilliz vs DataStax
- Zilliz vs Elasticsearch
- Zilliz vs OpenSearch
- Zilliz vs Apache Solr
- Zilliz vs Readyset
- Zilliz vs StarRocks