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Pillar Guide · 11 min · 9 citations

Cheapest Vector Database 2026: 8 Managed Stores Ranked

Cheapest vector database 2026 ranked by verified prices at 1M vectors: Chroma Cloud wins near $5/mo, no minimum; Pinecone and Weaviate floor higher.

By AI Biz Hub · Published May 25, 2026 · Updated October 19, 2026

General business information, not legal, tax or financial advice. How we check our numbers.

TL;DR

The cheapest managed vector database in 2026 for a 1-million-vector workload is Chroma Cloud at roughly $5 per month, because it bills purely on usage with no monthly minimum.[1] Every vendor with a fixed floor costs more at this scale: Turbopuffer Launch has a $16 minimum, Weaviate Flex starts at $45 and Pinecone Standard has a $50 minimum.[3][2][7] Supabase pgvector is priced by memory instead, about $426 a month on the compute Supabase's own benchmark uses for 1 million such vectors.[6][9]

Three managed offerings cannot be ranked on price because they do not publish one: Qdrant Cloud, Zilliz dedicated clusters, and LanceDB Cloud all gate exact rates behind a calculator or a sales contact.[4][5] Figures checked against the official pricing pages cited below; Turbopuffer and Pinecone re-checked October 19, 2026.

Verified as of 2026-10-18 against the official vendor pricing and documentation pages cited below.

The short answer: at 1 million vectors with the traffic profile below, Chroma Cloud is the cheapest managed vector database at roughly $5 per month, and it wins for one reason only, that it has no monthly minimum.[1] The whole ranking turns on that single fact. Vendors that meter usage cheaply but enforce a floor (Pinecone, Weaviate, Turbopuffer) all cost more at solo scale because you pay the floor, not the meter. This pillar prices eight major managed stores against one fixed workload, shows the arithmetic, and links the per-vendor head-to-heads.

1. The workload we price every vendor against

One workload, applied to every vendor, so the comparison is honest:

  • 1,000,000 vectors at 1,536 dimensions (the dimension of the common OpenAI text-embedding-3-small output), stored as float32.
  • 10,000 queries per day (about 300,000 per month), a busy small product.
  • 2,000 ingests per day (about 60,000 per month), a steadily updated corpus.
  • 365-day retention, so the full index stays resident.

This is large enough to clear every free tier, which is the point: free-tier comparisons flatter whoever has the most generous trial, and tell you nothing about what you pay when the product works. At 1 million vectors you are paying real money everywhere, so the rate card is what decides the bill.

2. No-minimum vs floor: the only distinction that matters

Managed vector pricing comes in two main shapes, and the shape decides the winner more than the per-unit rate does. A third, Postgres priced by instance size, follows the memory the index needs.

No-minimum, pure usage. Chroma Cloud and Zilliz serverless bill only for what you store, write, and read, with no fixed floor.[1][5] At small-to-mid scale these are the cheapest, because the bill is the metered usage and nothing else.

Floor-based. Pinecone Standard ($50/mo minimum), Weaviate Flex ($45/mo entry) and Turbopuffer Launch ($16/mo minimum) all carry a fixed monthly charge that applies even when your metered usage is lower.[2][3][7] Turbopuffer's metered usage for our workload is about $5, but the $16 floor is what you pay. The floor, not the rate, sets the price at this scale.

Instance-sized. Supabase Pro is $25/mo per project with $10 of compute credit, enough for the 1 GB Micro instance, but pgvector's HNSW index answers fast only when it fits in memory.[6] Supabase's own benchmark ran 1 million 1,536-dimension vectors on its 32 GB 2XL compute, $410 a month,[9] so the price follows the index, not a floor.

3. The storage footprint, computed once

Storage footprint is the one figure that is identical across vendors, because it is set by the data, not the price list. The Embeddings DB Cost engine computes it from vector count and dimensions (4 bytes per float32 value, plus roughly 25 percent index overhead). The engine now models current rates with plan minimums, so its dollar columns print the same Pinecone $50 and Turbopuffer $16 minimums used in the ranking below. It only prices four of the eight vendors, so the full verified ranking is the table; the engine block is a consistent cross-check, not a replacement for it.

Show the recompute-verified inputs and outputs
Engine cross-check: 1M vectors, 1,536 dim. Storage footprint 7.15 GB. Dollar columns now use current rates with plan minimums (Pinecone $50, Turbopuffer $16); they price four of the eight vendors, with Pinecone reads billed 1 read unit per GB of index, so the full verified ranking is the table below.
Inputs
vector_count 1000000
dim 1536
queries_per_day 10000
ingest_per_day 2000
Result
vendors › row 1 › vendor Pinecone
vendors › row 1 › monthly cost 50
vendors › row 1 › notes Pinecone Standard 2026-10: $16/M read units, $4/M write units, $0.33/GB-mo, $50/mo plan minimum; a query here uses about 7.15 read units (1 per GB of namespace, minimum 0.25). Small workloads can fit the free Starter plan (up to 2 GB, 1M read and 2M write units a month) or Builder ($20/mo flat, up to 10 GB, 2M read and 5M write units).
vendors › row 2 › vendor Postgres+pgvector
vendors › row 2 › monthly cost 425.79
vendors › row 2 › notes Supabase Pro 2026-10: $25/mo with $10 compute credit, 2XL compute ($410/mo, 32 GB RAM), disk above 8 GB at $0.125/GB-mo for about 14.31 GB (table plus HNSW index). Sized from Supabase's pgvector HNSW benchmarks (1536-d: Micro 15k vectors, Small 50k, Medium 100k, Large 224k, XL 500k, 2XL 1M), scaled by floats per vector and by RAM above 2XL.
vendors › row 3 › vendor LanceDB
vendors › row 3 › monthly cost 0.49
vendors › row 3 › notes LanceDB on Cloudflare R2 2026-10: $0.015/GB-mo storage, $4.50/M writes (Class A), $0.36/M reads (Class B), one request per upsert and per query. Self-hosted compute not included.
vendors › row 4 › vendor Turbopuffer
vendors › row 4 › monthly cost 16
vendors › row 4 › notes Turbopuffer Launch 2026-10: $16/mo minimum usage; $0.33/GB-mo logical storage, $2/GB written, $0.001/TB of data queried (namespace size, 1.28 GB minimum, discounted above 32 GB), $0.05/GB returned.
cheapest vendor LanceDB
cheapest monthly cost 0.49
cheapest all in vendor Turbopuffer
cheapest all in monthly cost 16
storage gb 7.15

Computed live at build time.

The engine reports a storage footprint of about 7.15 GB for this workload.[8] That 7.15 GB is what every vendor's storage line is priced against in the table below. Its dollar columns now print plan-accurate figures (the Pinecone $50 and Turbopuffer $16 minimums match the ranking); they cover four of the eight vendors, so the full verified prices are still the numbers in the table.

4. The ranked comparison table

Ranked by the verified monthly cost for the 1-million-vector workload above. The cost column shows the arithmetic so you can re-derive it. Storage footprint is 7.15 GB throughout.

RankVendorPricing modelMonthly cost at workloadHow it is derived
1Chroma CloudUsage, no minimum[1]~$57.15 GiB x $0.33 storage + ~0.34 GiB x $2.50 writes + read charges, no floor
2Zilliz serverlessUsage, no minimum[5]~$0.29 storage + vCU compute7.15 GB x $0.04/GB-mo storage + $4/M vCUs compute (vCU-per-query is calculator-gated)
3Turbopuffer LaunchUsage + plan minimum[7]$16About $5 of usage (storage about $2 at $0.33/GB, writes under $1 at $2/GB, queries about $2 at $1 per PB queried), so the $16 Launch minimum applies
4Weaviate FlexPer-dimension + floor[3]$451,536M dims x $0.00465 = ~$7 metered, but the $45 Flex minimum applies
5Pinecone StandardPer read/write/storage + floor[2]$50~$38 metered (about 7 read units per query on the 7.15 GB index, ~$34 of reads, plus writes and storage), so the $50 minimum applies; the ~2.15M read units a month exceed the $20 Builder plan's 2M
6Supabase Pro (pgvector)Plan + compute size[6]~$426$25 Pro + $410 2XL compute (the size Supabase benchmarks for 1M 1,536-dim vectors) - $10 credit + about $0.79 for the 14.3 GB of table and index above the 8 GB included disk[9]
n/aQdrant managedResource-based[4]Not publicly documentedPer-vCPU-hour and per-GB-hour rates are calculator-only (free-forever tier exists)
n/aZilliz dedicatedPer CU, by cluster type[5]Not priced for this workloadPublished from $5 to $63 per million vectors a month by cluster type, but quoted for 768-dimension vectors; a 1,536-dimension index needs Zilliz's calculator
n/aLanceDB CloudUsage, contact-gatedNot publicly documentedPricing page redirects to a contact form; OSS engine is free, Apache 2.0

Read the table as two groups. The first six are rankable on verified figures, and the order is set almost entirely by whether a floor applies, or for Supabase by the memory the index needs. The last three cannot be ranked on price for this workload as of October 2026: Qdrant and LanceDB Cloud publish no rate card, and Zilliz quotes its dedicated rates only for 768-dimension vectors. Ranking them would mean inventing numbers, which this comparison does not do.

5. The vendors you cannot price for this workload

Three managed offerings cannot be priced for this workload from public figures, and it matters for any honest ranking, so name them plainly:

  • Qdrant Cloud. Bills on the CPU, memory, and disk a cluster reserves, but the per-vCPU-hour and per-GB-hour figures are not on the pricing page; Qdrant directs you to its calculator.[4] The one public anchor is an illustrative $85 cluster, not a flat rate. The free-forever 0.5 vCPU / 1 GB RAM / 4 GB disk tier is real, but it will not hold 1 million 1,536-dimension vectors.
  • Zilliz dedicated. Serverless storage is a published $0.04/GB-month, and dedicated clusters now list per-vector rates: from $63 per million vectors a month on performance-optimized clusters, $16 on capacity-optimized and $5 on tiered storage.[5] Those figures are measured on 768-dimension vectors, so a 1,536-dimension index still needs the calculator.
  • LanceDB Cloud. The open-source engine is free under Apache 2.0, but the LanceDB Cloud pricing page redirects to a contact form with no rate card. There is no public per-unit figure to rank.

For these three, the verified public facts are the billing model, any free tier and, for Zilliz, the 768-dimension reference rates. Treat any third-party "estimate" of their managed price with suspicion, because the vendors themselves do not publish one.

6. Which to pick

  1. Pure vector search, want the lowest bill: Chroma Cloud. No minimum means the bill is the metered usage, roughly $5 at 1 million vectors, and it scales down to near zero for a prototype with the $5 credit.[1]
  2. Already on Supabase Postgres: pgvector in the project you already pay for. Your vectors sit with your app data, in the same database and transaction, but budget for the memory: Supabase sizes 1 million 1,536-dimension vectors on 2XL compute ($410/mo), and half-precision vectors or a smaller index bring that down.[6][9]
  3. Want a free-forever managed cluster for a smaller index: Qdrant. Its free tier is genuine, though you size the paid cluster in its calculator once you outgrow it.[4]
  4. Need a contractual SLA and per-dimension billing: Weaviate, accepting the $45 Flex floor (99.5% SLA) or $400 Premium (99.9%); Enterprise reaches 99.95%.[3]
  5. Bursty serverless traffic, value a mature ecosystem: Pinecone, budgeting for the $50 minimum once you outgrow the free Starter and $20 Builder caps, and for read units that grow with the index.[2]

Re-verify every rate before committing. Vector pricing moved a lot in early 2026 (Zilliz cut storage by roughly 87% to $0.04/GB-month, and Pinecone's read rate is now $16 to $18 per million read units, with each query billed 1 read unit per GB of index).[5][2] Model your own numbers in the Embeddings DB Cost engine and confirm against the official pages.

7. Per-vendor head-to-heads

Each comparison below prices a pair of these vendors in detail. Start here, then read the matchup closest to your shortlist:

Frequently asked questions

What is the cheapest vector database in 2026?

For a workload of 1 million vectors at 1,536 dimensions with 10,000 queries and 2,000 ingests per day, Chroma Cloud is the cheapest managed option at roughly $5 per month. It bills purely on usage with no monthly minimum: $0.33 per GiB-month storage, $2.50 per logical GiB written, and read charges of $0.0075 per TiB queried plus $0.09 per GiB returned. At this scale that lands near $5 per month. The vendors with a fixed floor cost more because the floor dominates: Turbopuffer Launch has a $16 minimum, Weaviate Flex starts at $45 and Pinecone Standard carries a $50 minimum (checked October 19, 2026). Supabase pgvector costs more again, about $426 a month, once its compute is sized to hold the index in memory.

Is Chroma Cloud really cheaper than Pinecone for a small RAG app?

At the 1-million-vector workload priced here, yes. Chroma Cloud has no monthly minimum, so its bill is the metered usage of roughly $5. Pinecone Standard meters lower per unit but enforces a $50 per month minimum usage commitment, so you pay the $50 floor, not the metered amount. Below the free ceilings the order can change: Pinecone Starter is free up to 2 GB, 1 million reads, and 2 million writes per month, and Chroma offers a one-time $5 credit (verified May 25, 2026).

Which vector databases do not publish their managed prices in 2026?

As of October 2026, three managed offerings cannot be priced for a 1,536-dimension workload from public figures: Qdrant Cloud (resource-based, calculator only), Zilliz Cloud dedicated clusters (per-vector rates published only for 768-dimension vectors), and LanceDB Cloud (the pricing page redirects to a contact form). You cannot rank these on verified public dollar figures, only on their published free tiers and billing models.

Is a self-hosted vector database cheaper than a managed one?

It can be on raw infrastructure cost, but not once operational time is counted. Self-hosting pgvector, Milvus, or the LanceDB open-source engine on your own object storage or a small Postgres instance can run for the price of the underlying compute and storage alone, which at 1 million vectors is single-digit dollars per month. The hidden cost is the engineering time to run, back up, and scale it. For a solo founder, a no-minimum managed store such as Chroma Cloud is usually the lower total cost.

References

Sources

Primary sources only. No vendor-marketing blogs or aggregated secondary claims.

  1. 1 Chroma — Cloud pricing docs (storage, write, and read rates, $5 free credit, no monthly minimum) — accessed 2026-10-18
  2. 2 Pinecone — Pricing (Standard read/write/storage rates, $50 minimum, Starter free, Builder $20 flat) — accessed 2026-10-18
  3. 3 Weaviate — Pricing (per-million-dimension rates from $0.00465 on Flex, $45 Flex and $400 Premium minimums, SLAs, Free Forever tier) — accessed 2026-10-18
  4. 4 Qdrant — Pricing (free-forever tier specs, usage-based managed cloud, calculator-gated rates) — accessed 2026-10-18
  5. 5 Zilliz — October 2025 update (serverless storage standardized at $0.04/GB-mo from Jan 1, 2026) and Pricing (free tier, dedicated per-vector rates) — accessed 2026-10-18
  6. 6 Supabase — Pricing (Pro tier at $25/mo with $10 of compute credit, 8 GB included disk, no inactivity pause; compute add-ons, 2XL $410/mo with 32 GB) — accessed 2026-10-19
  7. 7 Turbopuffer — Pricing (Launch $16/month minimum usage since June 2026, Scale $256) — accessed 2026-10-19
  8. 8 AI Biz Hub — Embeddings DB Cost methodology — accessed 2026-10-18
  9. 9 Supabase docs — Choosing your compute add-on (pgvector HNSW benchmark: 1,000,000 1,536-dim vectors on 2XL with 32 GB; 224,482 on Large with 8 GB) — accessed 2026-10-19

The 10 vendor figures on this page, each with its source and the date it was checked, are also in the vendor price reference, where every figure has its own link.

Tools referenced in this article