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Databases · head to head

Readyset vs turbopuffer

Readyset logo

Readyset

Databases

Database caching and optimization that reduces infrastructure costs 30-70%

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 Readyset has a free tier, so it costs nothing to try first.
  • Each has a real cost: Readyset pricing requires contacting sales team, making cost planning difficult; 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: Readyset covers Automatic Query Optimization, turbopuffer covers Object storage architecture.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Readyset and turbopuffer actually diverge.

Attributes where Readyset and turbopuffer differ
AttributeReadysetturbopuffer
Starting priceFree$16/month
Pricing modelMonthly or annual subscription based on cache sizesubscription
Free tierYesNo
PlatformsCloud, Self-HostedWeb

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 Readyset

  • Automatic Query Optimization
  • SQL-Level Caching
  • Live Incremental Updates
  • Zero-Touch Integration
  • Query Interception
  • AI Query Protection

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.

Readyset

  • Reducing database costs for AI workloads with unpredictable query patternsnot turbopuffer
  • Improving read performance for frequently accessed data without hardware upgradesnot turbopuffer
  • Protecting databases from performance degradation caused by agentic queriesnot turbopuffer
  • Scaling read-heavy applications without database scaling costsnot turbopuffer

turbopuffer

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

Where each one falls short

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

Readyset

  • Pricing requires contacting sales team, making cost planning difficult
  • Specific pricing tiers not disclosed publicly
  • Requires cache size estimation for cost calculation
  • Limited to read query caching, does not address write performance

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

Readyset

Free
  • CommunityFree
    • Free tier for evaluation
    • 7-day trial available
  • Readyset CloudFree
    • Fully-managed AWS deployment
    • High availability
    • VPC peering support
  • Readyset PrivateFree
    • Self-hosted on your servers
    • Complete control
    • Custom deployment

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 Readyset if

  • You need automatic query optimization.
  • You want to start without paying.
  • You work on Cloud, Self-Hosted.
  • You also want sql-level caching.
Readyset review

Choose turbopuffer if

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

Questions people ask

Is Readyset or turbopuffer better?
Neither clearly leads. Readyset 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, Readyset or turbopuffer?
Readyset has a free tier; the other does not. Paid plans start at Free for Readyset and $16/month for turbopuffer.
Does Readyset or turbopuffer run on more platforms?
Readyset runs on Cloud, Self-Hosted. turbopuffer runs on Web.
Can I use Readyset for free?
Yes. Readyset has a free tier, so you can try it without paying. turbopuffer starts at $16/month.
What is Readyset best used for?
Readyset is most often used for reducing database costs for ai workloads with unpredictable query patterns, improving read performance for frequently accessed data without hardware upgrades, protecting databases from performance degradation caused by agentic queries, scaling read-heavy applications without database scaling costs. Of those, reducing database costs for ai workloads with unpredictable query patterns and improving read performance for frequently accessed data without hardware upgrades are not what turbopuffer is typically brought in for.
What can Readyset do that turbopuffer cannot?
Readyset covers Automatic Query Optimization, SQL-Level Caching, Live Incremental Updates, Zero-Touch Integration. turbopuffer covers Object storage architecture, Namespaces, Vector search, Full-text search.

Answered from the vendors’ own pages

Readyset: Do I need to change my application code?

No, Readyset integrates transparently through query interception with zero code changes or schema modifications required.

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.

Readyset: Is there a free trial?

Yes, Readyset offers a free 7-day trial that lets you test different cache sizes before committing to a paid plan.

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.

Readyset: How does Readyset pricing work?

Readyset is available as a monthly or annual subscription charged based on the size of cache you need. Contact [email protected] for specific pricing.

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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