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Databases · head to head

Nile vs turbopuffer

Nile logo

Nile

Databases

PostgreSQL database platform built for multi-tenant SaaS applications

From
Free
Rated
-
Full reviewWebsite
turbopuffer logo

turbopuffer

Databases

Closed-source vector and full-text search service built directly on object storage, with cold queries measured in seconds rather than milliseconds.

From
$16/month
Rated
-
Full reviewWebsite

The short version

  • Only Nile has a free tier, so it costs nothing to try first.
  • Each has a real cost: Nile limited to B2B SaaS use cases, not optimized for single-tenant applications; turbopuffer a cold namespace pays object storage latency on the first query, with a documented p90 around 1,214 ms on a million documents, so any interactive search box needs the data kept warm or the user waits about a second.
  • They diverge on capability: Nile covers Multi-tenant virtualization, turbopuffer covers Object storage architecture.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Nile and turbopuffer actually diverge.

Attributes where Nile and turbopuffer differ
AttributeNileturbopuffer
Starting priceFree$16/month
Pricing modelPay-per-use with committed pricingsubscription
Free tierYesNo
PlatformsWeb, APIWeb

Identical on both: 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 Nile

  • Multi-tenant virtualization
  • Serverless compute
  • Vector embeddings
  • Tenant branching
  • Schema migration
  • Tenant dashboards
  • Global deployment
  • PostgreSQL compatible

Only in turbopuffer

  • Object storage architecture
  • Namespaces
  • Vector search
  • Full-text search
  • Attribute filtering
  • Documented limits
  • Configurable consistency
  • Durable writes

What people use each for

The jobs each tool is most often brought in to do.

Nile

  • Multi-tenant SaaS applications with per-customer isolationnot turbopuffer
  • Serverless workloads needing cost-efficient auto-scalingnot turbopuffer
  • RAG applications leveraging vector embeddingsnot turbopuffer
  • Applications requiring per-tenant analytics dashboardsnot turbopuffer
  • Cross-customer analytics using shared data tablesnot turbopuffer

turbopuffer

  • A product with one search index per customer and thousands of customers, most of whose data is idle on any given daynot Nile
  • Very large corpora where holding every vector in memory is the dominant cost and occasional cold-query latency is acceptablenot Nile
  • Hybrid retrieval combining BM25 and vector search where running and synchronising two separate systems is the problem being solvednot Nile
  • Retrieval for agent and assistant products where indexes are created and destroyed frequently and per-index overhead must be near zeronot Nile

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Nile

  • Limited to B2B SaaS use cases, not optimized for single-tenant applications
  • Query token abstraction makes pricing less transparent than traditional compute pricing
  • Free plan limited to 50M query tokens and 1GB storage for development
  • Serverless startup latency may impact performance-sensitive applications
  • Per-million token overages require careful monitoring to avoid surprise costs

turbopuffer

  • A cold namespace pays object storage latency on the first query, with a documented p90 around 1,214 ms on a million documents, so any interactive search box needs the data kept warm or the user waits about a second.
  • Queries are eventually consistent by default, and after roughly 128 MiB of outstanding writes new data is invisible until indexed, which the vendor puts at tens of seconds for small namespaces and tens of minutes for large ones, so a bulk re-index is not immediately queryable.
  • It is closed source with no community edition, so single-tenant or bring-your-own-cloud deployment is a commercial negotiation rather than a deployment choice, and there is no path to running it yourself if the relationship ends.
  • Per-namespace ceilings, roughly 10,000 writes per second, 32 MB/s and 500 million documents per shard, mean a single enormous index has to be sharded across namespaces by your application rather than by the service.
  • It is a search engine, not a database: there are no joins, no cross-document transactions and no SQL, so it sits beside a primary datastore and keeping the two in step is work that belongs to you.

Pricing, plan by plan

Nile

Free
  • FreeFree
    • 50M query tokens included
    • 1 GB storage
    • 500 connections
  • Pro$15/month
    • 150M query tokens included
    • 5 GB storage
    • 10,000 connections
  • Scale$350/month
    • 500M query tokens included
    • 50 GB storage
    • 100,000 connections
  • Enterprise$undefined/custom
    • Custom resource allocation
    • Large-scale workloads supporting millions of tenants
    • Designated support

turbopuffer

$16/month
  • Launch$16/month
    • All database features
    • Multi-tenancy deployment
    • SOC2 & GDPR-ready DPA
  • Scale$256/month
    • Everything in Launch
    • HIPAA-ready BAA
    • Single Sign-On (SSO)
  • Enterprise$4096/month
    • Everything in Scale
    • Single-tenancy & BYOC deployment options
    • Private networking

Which should you pick?

Choose Nile if

  • You need multi-tenant virtualization.
  • You want to start without paying.
  • You work on Web, API.
  • You also want serverless compute.
Nile review

Choose turbopuffer if

  • You need object storage architecture.
  • You also want namespaces.
turbopuffer review

Questions people ask

Is Nile or turbopuffer better?
Neither clearly leads. Nile starts at Free and turbopuffer at $16/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Nile or turbopuffer?
Nile has a free tier; the other does not. Paid plans start at Free for Nile and $16/month for turbopuffer.
Does Nile or turbopuffer run on more platforms?
Nile runs on Web, API. turbopuffer runs on Web.
Can I use Nile for free?
Yes. Nile has a free tier, so you can try it without paying. turbopuffer starts at $16/month.
What is Nile best used for?
Nile is most often used for multi-tenant saas applications with per-customer isolation, serverless workloads needing cost-efficient auto-scaling, rag applications leveraging vector embeddings, applications requiring per-tenant analytics dashboards. Of those, multi-tenant saas applications with per-customer isolation and serverless workloads needing cost-efficient auto-scaling are not what turbopuffer is typically brought in for.
What can Nile do that turbopuffer cannot?
Nile covers Multi-tenant virtualization, Serverless compute, Vector embeddings, Tenant branching. turbopuffer covers Object storage architecture, Namespaces, Vector search, Full-text search.

Answered from the vendors’ own pages

Nile: What are query tokens and how are they calculated?

Query tokens are abstract units of CPU and memory used when queries execute on Nile's serverless compute. The platform uses this abstraction to enable fair, predictable pay-per-use pricing.

Source
turbopuffer: Can I self-host turbopuffer?

There is no open source or community edition. Single-tenant and bring-your-own-cloud deployments exist as commercial arrangements, but there is no way to run it independently of the vendor.

Nile: Do all Nile plans include multi-tenant isolation?

Yes. All plans including the free tier include unlimited databases, tenants, and vector embeddings with built-in data isolation.

Source
turbopuffer: How fast is it really?

Warm queries perform comparably to in-memory search engines. Cold queries, where data is not cached, have a documented p90 around 1,214 ms on a million documents. Write p90 is around 248 ms for a 512 KB upsert because writes go straight to object storage.

Nile: What is included in the Pro plan?

The Pro plan ($15/month) includes 150M query tokens, 5GB storage, 10,000 connections, and a 99.95% SLA. SAML and MFA authentication features are available on Pro and above.

Source
turbopuffer: Is it consistent?

Eventually consistent by default, with the vendor reporting that over 99.8% of queries return consistent data. Strong consistency can be requested per query at a latency cost. Large write bursts have a longer visibility delay while indexing catches up.

turbopuffer: What is it best at?

Large numbers of namespaces where most are idle. The architecture makes cold data cheap to keep, which is exactly the shape of a multi-tenant product with a long tail of inactive customers.

turbopuffer: What are the hard limits?

Up to 128 billion documents and 256 TB per namespace, 500 million documents per shard, 64 MiB per document, 10,752 dense vector dimensions, roughly 10,000 writes per second per namespace and a maximum result set of 10,000.

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