Pinecone alternatives: 11 vector databases tools compared

Teams look past Pinecone for three reasons: the monthly minimums on its paid plans, the fact that it only exists as a hosted service, and the wish to keep vectors next to other data. The alternatives below include open-source engines you can host yourself, EU-based vendors, Postgres routes and search engines that also store vectors.

Short answer: Places 1 to 3 go to challengers, vendors outside the best-known brands in a category, wherever the category has them; the established names follow from place 4 in their ranked order. For Pinecone users, the top three picks from our vector databases ranking are Qdrant, Weaviate and Chroma. Pick Qdrant if you want a vendor in the EU whose engine can later move to your own servers. Each of the 11 alternatives sits in Best Vector Databases in 2026 and is described against Pinecone.

Vendors can pay for more visibility on this website, for example a higher place in a ranking or more room on a page. Commercial relationships can also affect which products we feature and how prominently. Every vendor link is marked the same, whatever the arrangement behind it. How that works.

Pinecone

#5 of 12 in our vector databases ranking

  • Pricing: Free Starter plan; flat and minimum-usage paid plans, published
  • Established in: United States
  • Built for: Teams that want a managed index with no servers or tuning to run
  • Not for: Buyers who need an open-source engine to run themselves
01

Why buyers look past Pinecone

  1. 01

    The free plan is small and the paid steps have floors

    Pinecone's pricing page lists Starter as free but capped at 2 GB of storage, 2M write units and 1M read units a month, in us-east-1 only. Builder is $20 a month flat, Standard has a $50 monthly minimum and Enterprise $500. Usage above a minimum is billed per million read and write units, so a small production app lands in a plan whose floor, not its traffic, sets the bill.

  2. 02

    Only the vendor's cloud is on offer

    The pricing page describes indexes inside Pinecone projects, with regions on AWS, Azure and GCP, and no download or self-hosted edition. The security page mentions private endpoints and customer-managed keys, but says nothing about data residency or specific regions. A buyer who must show where data lives, or who wants a fallback they can run alone, has to ask Pinecone directly.

  3. 03

    Leaving later means moving data yourself

    The docs describe Pinecone's own index types (document, vector and a legacy integrated index) and a new schema-only index endpoint from API version 2026-07. Records and metadata follow Pinecone's rules, including flat metadata of 40 KB per record. Code written against these APIs and index shapes has to be ported to whichever engine replaces it, which is easier to plan before the contract than after.

02

11 alternatives at a glance

Challengers first, then established names
AlternativeHeadquartersFree optionPricing model Switch ifOur rank
QdrantGermanyYesPublishedyou want a vendor in the EU whose engine can later move to your own servers#1
WeaviateNetherlandsYesPublisheda Dutch vendor with a published pay-as-you-go entry price matters to procurement#2
ChromaUnited StatesYesPublishedyou are prototyping or running a mid-sized app and want the same API locally and hosted#3
turbopufferNot stated by the vendorNo free tierPublishedyou hold many large, mostly idle collections and want the minimum to be the only fixed cost#4
pgvectorNot stated by the vendorYesPublishedyour records already live in Postgres and one fewer system to operate is the goal#9
MilvusNot stated by the vendorYesPublishedyou expect your collection to grow far beyond one server and have people to run Kubernetes#6
TypesenseUnited StatesYesPublishedusers type queries and you need typo-tolerant text search alongside vector matches#8
Zilliz CloudUnited StatesYesPublishedyou want hosted Milvus with a published ladder of storage tiers and an uptime commitment#7
SupabaseSingaporeYesPublishedyou are building an app that needs a database, login and files as well as vector search#10
ElasticsearchNetherlandsNo free tierPublishedtext relevance and vector similarity must be scored together and you can size a cluster#12
RedisUnited StatesYesPublishedRedis already runs your application cache and the vector set is modest#11
03

What each one does differently

Qdrant

Germany · Published

Qdrant is a German company that sells the same engine it develops: a free single-node cluster with 0.5 vCPU, 1 GB RAM and 4 GB disk, then hourly billing on vCPU, memory and storage. Hybrid Cloud runs managed clusters on your own infrastructure and Private Cloud covers air-gapped setups. Premium requires a minimum spend and adds SSO and private VPC links.

Switch from Pinecone if you want a vendor in the EU whose engine can later move to your own servers.

More on Qdrant: ranked 1 of 12 in vector databases →

Weaviate

Netherlands · Published

Weaviate, from Amsterdam, gives a sandbox of 100,000 objects, 1 GB memory and 10 GB disk, then Flex from $45 a month with charges per vector dimension and per GiB stored. Premium starts around $400 a month by quote, and Dedicated spans AWS, GCP and Azure regions. Hosted embedding and query-agent requests are metered separately.

Switch from Pinecone if a Dutch vendor with a published pay-as-you-go entry price matters to procurement.

Weaviate, #2 of 12 in our vector databases ranking →

Chroma

United States · Published

Chroma starts as a package you install and run inside your own application, then offers a hosted version with usage rates: $2.50 per GiB written, $0.33 per GiB stored and a query charge per TiB. Starter includes $5 of credit and Team costs $250 a month with $100 credit. Single-tenant and bring-your-own-cloud clusters sit in the Enterprise tier.

Switch from Pinecone if you are prototyping or running a mid-sized app and want the same API locally and hosted.

Read our review of Chroma (position 3 of 12 on the vector databases list) →

turbopuffer

Not stated by the vendor · Published

turbopuffer keeps vectors and text indexes on object storage with a cache in front. Launch has a $16 monthly minimum, Scale $256 and Enterprise $4,096 with a 35% usage premium. Its own calculator estimates a 1M-document workload at about $7 of usage, which the minimum then lifts to $16. Bring-your-own-cloud and per-namespace keys arrive only at Enterprise.

Switch from Pinecone if you hold many large, mostly idle collections and want the minimum to be the only fixed cost.

Read our review of turbopuffer (position 4 of 12 on the vector databases list) →

pgvector

Not stated by the vendor · Published

pgvector is an extension rather than a vendor. It keeps vectors in Postgres tables, so transactions, joins and point-in-time recovery apply. Searches are exact until you add an HNSW or IVFFlat index, and indexed vectors reach 2,000 dimensions, 4,000 with half precision. It can run on any Postgres host, so cost and support come from that host.

Switch from Pinecone if your records already live in Postgres and one fewer system to operate is the goal.

Where pgvector stands: place 9 of 12 in the vector databases ranking →

Milvus

Not stated by the vendor · Published

Milvus is a Python-installable Lite edition for notebooks, a single-server Standalone in one Docker image, and a Kubernetes Distributed edition the docs say can sustain tens of billions of vectors. The same API runs at each step, so a prototype need not be rewritten. Hosted service is a separate purchase, from Zilliz.

Switch from Pinecone if you expect your collection to grow far beyond one server and have people to run Kubernetes.

See the full Milvus entry, ranked 6 of 12 among vector databases products →

Typesense

United States · Published

Typesense is a search engine that treats vectors as one field type, and keeps the index in RAM. Cloud pricing follows the memory your data needs, with no limits on records or operations, over 26 locations including Frankfurt. High availability needs 3 to 7 nodes. Vectors can be imported ready-made or generated by built-in models.

Switch from Pinecone if users type queries and you need typo-tolerant text search alongside vector matches.

Typesense review, listed at 8 of 12 vector databases products →

Zilliz Cloud

United States · Published

Zilliz Cloud is hosted Milvus. The free plan holds 5 GB and 2.5M vCUs a month in up to 5 collections. Dedicated clusters start at $126 a month, and per million vectors the page quotes from $63 performance-optimised, $16 capacity-optimised and $5 tiered storage. Enterprise carries a 99.95% uptime target, and bring-your-own-cloud is priced after a demo.

Switch from Pinecone if you want hosted Milvus with a published ladder of storage tiers and an uptime commitment.

See the full Zilliz Cloud entry, ranked 7 of 12 among vector databases products →

Supabase

Singapore · Published

Supabase, contracting from Singapore, delivers Postgres with vectors through pgvector next to auth and storage. Free allows 2 active projects with 500 MB each, pausing after a week of inactivity. Pro starts at $25 a month with 8 GB disk per project, Team at $599. Vector search is one feature of a wider backend.

Switch from Pinecone if you are building an app that needs a database, login and files as well as vector search.

Supabase, #10 of 12 in our vector databases ranking →

Elasticsearch

Netherlands · Published

Elastic, a Dutch company, offers Serverless billed per VCU hour: as low as $0.14 for ingest and $0.09 for search, plus $0.047 per GB stored and $0.05 per GB egress. A free trial is offered, its length not stated on the page we read. Keyword relevance and vector similarity can be combined in a single query.

Switch from Pinecone if text relevance and vector similarity must be scored together and you can size a cluster.

Our vector databases guide puts Elasticsearch at 12 of 12; read why →

Redis

United States · Published

Redis Cloud lists a free 30 MB database, Essentials from $0.007 an hour, and Pro from $0.014 an hour with a $200 monthly minimum. Vector queries run over fields in the same in-memory store that serves caches and queues. Pro adds active-active multi-region and private connectivity. Memory residency makes large collections expensive.

Switch from Pinecone if Redis already runs your application cache and the vector set is modest.

Where Redis stands: place 11 of 12 in the vector databases ranking →

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Which alternative for which situation

  1. 01

    You want a vendor in the EU that can later run on your servers

    Qdrant: The company is in Germany, the free cluster has 1 GB RAM and 4 GB disk, and Hybrid Cloud runs managed clusters on your own infrastructure.

  2. 02

    You already keep your records in Postgres

    pgvector: Vectors sit in ordinary tables with joins and point-in-time recovery, and indexed vectors reach 2,000 dimensions.

  3. 03

    You want to prototype locally and host later with the same code

    Chroma: Starter includes $5 of credit, and Team costs $250 a month with $100 of credit.

  4. 04

    You hold many large collections that are rarely queried

    turbopuffer: Launch has a $16 monthly minimum, and its calculator estimates a 1M-document workload at about $7 of usage.

  5. 05

    You need keyword relevance and vector similarity in one query

    Elasticsearch: Serverless is billed per VCU hour, with search from $0.09 and storage at $0.047 per GB; the trial length was not stated.

04

When Pinecone is still the right choice

Pinecone remains sensible when a team wants no servers to run at all. The Starter plan is free for a first test, Standard comes with a three-week trial that includes $300 of credit, and Enterprise carries a 99.95% uptime SLA. Its security page cites SOC 2 Type II, a HIPAA BAA on request, AES-256 at rest and customer-managed keys. Document indexes combine dense, sparse and full-text fields, and namespaces support multitenancy. If an app is already tuned to those APIs and the bill is acceptable, moving gains little.

05

What moving off Pinecone involves

  1. 01

    Inventory indexes, namespaces and metadata

    List every index, its dimension, metric, vector type and namespaces, plus which metadata fields your filters use. Metadata that is flat in Pinecone may map differently in a new engine, and a namespace per tenant may need a collection or a filter.

  2. 02

    Re-embed or export, then compare on your own queries

    Decide whether to keep the existing embeddings or generate new ones with the model your next engine prefers. Run a test set of real queries against both systems and compare recall and latency before switching traffic.

  3. 03

    Run both in parallel, then cut over

    Write to the old and new stores for a period, point a share of reads at the new one and keep the Pinecone project until results match. Cancel only after the final billing cycle has been checked.

06

Questions about replacing Pinecone

7 answers
What is the best alternative to Pinecone?

Qdrant ranks first in our list. It is a German company, offers a free cluster of 1 GB RAM and 4 GB disk, bills hosted clusters by use, and can run on your own infrastructure through Hybrid Cloud.

Weaviate, Chroma and turbopuffer follow in the list above.

Which Pinecone alternative can I host myself?

Qdrant, Weaviate, Chroma, Milvus, Typesense and pgvector all have versions you can run on your own servers, and Redis and Elasticsearch offer self-managed routes. Pinecone's pricing page shows no self-hosted edition, only its own cloud with bring-your-own-cloud as a separate contact-sales offering.

Is there a European alternative to Pinecone?

Qdrant is in Germany and Weaviate and Elastic are Dutch. Typesense Cloud offers a Frankfurt location. Pinecone's security page does not discuss data residency, so ask the vendor about regions and the contracting entity whichever you choose.

Is there a cheaper alternative to Pinecone for a small project?

Chroma Starter, Qdrant's free cluster, Weaviate's sandbox, Zilliz's free plan and pgvector on a Postgres you already pay for cost nothing to try. Pinecone's own Starter is free but limited to 2 GB and one region, and Builder is $20 a month flat.

What replaces Pinecone if my data is already in Postgres?

pgvector keeps vectors in the same tables, with joins and point-in-time recovery from Postgres. Supabase offers hosted Postgres with pgvector from $25 a month on Pro. Speed depends on the database server you provide.

Which alternative to Pinecone suits hybrid keyword and vector search?

Elasticsearch combines text relevance and vectors in one query, and Typesense treats vector search as a feature of its search engine. Pinecone itself now offers document indexes with dense, sparse and full-text fields, so compare on your own data.

Is Pinecone SOC 2 certified and HIPAA ready?

Its security page states SOC 2 Type II certification and HIPAA compliance with a BAA on request. turbopuffer's Scale plan lists a HIPAA-ready BAA and Zilliz Enterprise adds audit logs and SSO, so certifications alone rarely decide the choice.

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Sources

Checked 2 November 2026
  • Pinecone pricing: Starter, Builder $20, Standard $50 minimum, Enterprise $500 minimum, limits, trial credit $300, unit rates, 99.95% SLA, BYOC by contact.
  • Pinecone indexing overview: Document, vector and legacy index types, dense and sparse vectors, namespaces, 40 KB metadata, API version 2026-07.
  • Pinecone security: SOC 2 Type II, HIPAA BAA, AES-256, TLS 1.2, CMEK, private endpoints, no data residency details.
  • Qdrant pricing: Free cluster 0.5 vCPU, 1 GB RAM, 4 GB disk; hourly usage billing; Hybrid Cloud; Private Cloud; Premium minimum spend.
  • Weaviate pricing: Sandbox 100,000 objects, Flex from $45 a month, Premium from $400 a month, regions.
  • Chroma pricing: Starter $5 credit, Team $250 with $100 credit, usage rates, Enterprise single-tenant and BYOC.
  • turbopuffer pricing: Launch $16, Scale $256, Enterprise $4,096 with 35% premium, example estimate, BYOC, CMEK.
  • pgvector on GitHub: Exact search default, HNSW and IVFFlat, dimension limits, halfvec, ACID and point-in-time recovery.
  • Milvus install overview: Lite, Standalone and Distributed editions, tens of billions of vectors.
  • Typesense Cloud pricing: Memory-based pricing, 26 locations including Frankfurt, HA with 3 to 7 nodes.
  • Zilliz Cloud pricing: Free plan 5 GB and 2.5M vCUs, dedicated from $126, per-million-vector rates, BYOC, 99.95% SLA.
  • Supabase pricing: Free 2 projects 500 MB pausing after a week, Pro from $25, Team from $599, 8 GB disk.
  • Elastic Serverless pricing: VCU rates, $0.047 per GB storage, egress $0.05, free trial.
  • Redis pricing: Free 30 MB, Essentials from $0.007 an hour, Pro from $0.014 an hour with $200 minimum, active-active.
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Who wrote this

Last reviewed 2 November 2026

Sebastiaan Smits

Founder · Amsterdam, Netherlands

Founder of The Knowledge Engineers and of 2 Steps Ahead, an AI search visibility agency. Editorially responsible for every page on this site; research and drafting are AI-assisted.

Written, edited and fact-checked by Sebastiaan Smits. Last reviewed 2 November 2026. How we review.

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