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weaviate.io · 2 records in Databases and KV, Inference · JSON

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Weaviate Cloud

Databases and KV

weaviate.io/pricingVector databasedatabases-kv/weaviate-cloudJSONcomparereport an error

Free allowance
1 cluster per user, 100,000 objects, 1 GB memory, 10 GB disk, 1 collection, up to 3 tenants, always free
Verdict
caveatusable, with a named limit or an unprobed read path
Cost
free tier
Identity
emailno card, no phone
Binding limit
per-object-cap100,000 objects and one collection
Evidence
documented1 source; a first-party page was read and the sentence quoted
Freshness
stale on 2026-11-22checked 2026-10-22 (live); stale on 2026-11-22
Free tier1 cluster per user, 100,000 objects, 1 GB memory, 10 GB disk, 1 collection, up to 3 tenants, always free
unit objects; metered on object-count
Pricenone stated
Limits
  • per-object-cap (binding) 100,000 objects and one collection source
  • request-rate one cluster per user; three tenants source
  • request-rate no connection limit is published for the sandbox; recorded as a gap source
Identityemail email signup; no card on Free
Egressnot published on the pricing page; recorded as a gap
Per-object cap100,000 objects per cluster; 1 collection
Retentionalways free, with no deletion clock published
Interfacerest, cli a REST API and GraphQL; Python, TypeScript, Java and Go clients
Toolingthe weaviate-client libraries; GraphQL for queries
Composes withthe only free vector tier that caps objects rather than bytes, so it is the right shape for many small records and the wrong shape for a few large ones
Reliabilityno reliability event recorded
NotesOne collection is the constraint that decides it. A multi-tenant design that needs a collection per tenant stops at one, and a single collection with 100,000 objects is a small index.
Evidence notedocumented the pricing page was read.
Parsed numbers
  • has-free-tier 1
Evidence 1
datesourcewhat it proved
2026-10-22weaviate.io/pricingFree: 'Always free - 1 cluster per user'; '100,000 objects - 1 GB memory - 10 GB disk'; '1 collection, up to 3 tenants'; the comparison table repeats object limit 100,000 and collection limit 1
Unknown values 2
  • egress metered: egress metering was not published
  • reliability note: nothing of this kind was observed

docs.weaviate.io/cloud/embeddingsEmbedding inference tied to a vector database cluster, daily request cap on a free clusterinference/weaviate-embeddingsJSONcomparereport an error

Free allowance
Usable on a free Weaviate Cloud cluster at 2,000 embedding requests per cluster per day; with 200 objects per batch that is at most 400,000 embeddings a day.
Verdict
caveatusable, with a named limit or an unprobed read path
Cost
free tier
Identity
emailcard unknown, no phone
Binding limit
request-rate2,000 requests per cluster per day on a free cluster; batch import is capped at 200 objects per batch, so at most 400,000 embeddings per day
Evidence
documented4 sources; a first-party page was read and the sentence quoted
Freshness
stale on 2026-12-04checked 2026-11-03 (live); stale on 2026-12-04
Free tierusable on a free Weaviate Cloud cluster at 2,000 embedding requests per cluster per day; with 200 objects per batch that is at most 400,000 embeddings a day. Text models: snowflake-arctic-embed-m-v1.5 and -l-v2.0; multimodal: ModernVBERT/colmodernvbert; no reranker is listed
unit requests; metered on request-count; the service is called from a cluster, with no separate key: 'you only need a connection to your Weaviate Cloud cluster'
Pricenone stated
Limits
  • request-rate (binding) 2,000 requests per cluster per day on a free cluster; batch import is capped at 200 objects per batch, so at most 400,000 embeddings per day source
Bindingrequest-rate 2,000 requests per cluster per day is the only published limit on a free cluster
Identityemail a Weaviate Cloud account and a free cluster; unverified: the sign-up form fields and whether a card is asked, because the console answered with a login wall to the page reader
Egressnot published
Interfacerest
ToolingWeaviate client libraries vectorize on import and query; the service is enabled by default for every cluster
Composes withembeddings stay inside the same free cluster that stores the vectors
Reliabilitythe page calls Weaviate Embeddings a paid service that can be tried free on a free cluster; the data is processed in the United States
Notesderived: 2,000 requests * 200 objects per batch = 400,000 embeddings per day, as the vendor page states
Evidence notedocumented the daily request cap, the batch size and the model list are quoted from the vendor page; the sign-up fields are unverified.
Parsed numbers
  • has-free-tier 1
  • request-rate 2000 requests
Evidence 4
datesourcewhat it proved
2026-11-03docs.weaviate.io/cloud/embeddingsa free cluster is limited to 2,000 embedding requests per cluster per day
2026-11-03docs.weaviate.io/cloud/embeddingsa free cluster can generate at most 400,000 embeddings a day with 200 objects per batch
2026-11-03docs.weaviate.io/cloud/embeddingsWeaviate Embeddings can be tried free on a free cluster
2026-11-03docs.weaviate.io/cloud/embeddingssnowflake-arctic-embed-l-v2.0 is one of the hosted text embedding models
Unknown values 3
  • egress metered: egress metering was not published
  • per object cap stated: the field does not apply to this kind of offer
  • retention stated: the field does not apply to this kind of offer