Softwr

Databases · head to head

dbt vs turbopuffer

dbt logo

dbt

Databases

SQL transformation framework enabling analytics engineers to version, test and deploy models

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 dbt has a free tier, so it costs nothing to try first.
  • Each has a real cost: dbt free tier severely limited: 3,000 models/month cap and single project maximum restricts team and production use; 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.
  • Prices and features above were last checked on 2 September 2026.

Where they differ

Only the attributes on which dbt and turbopuffer actually diverge.

Attributes where dbt and turbopuffer differ
Attributedbtturbopuffer
Starting priceFree$16/month
Pricing modelsubscription|freesubscription
Free tierYesNo
PlatformsCloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf)Web

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 dbt

Nothing recorded that turbopuffer does not also cover.

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.

dbt

  • Data warehouse transformation and ELT pipelinesnot turbopuffer
  • Analytics engineering for reporting and business intelligencenot turbopuffer
  • Data quality testing and validation at scalenot turbopuffer
  • Cross-functional data collaboration with version controlnot turbopuffer
  • Cost optimisation of warehouse usage through intelligent schedulingnot turbopuffer

turbopuffer

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

Where each one falls short

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

dbt

  • Free tier severely limited: 3,000 models/month cap and single project maximum restricts team and production use
  • Starter at $1,200/year per seat: minimum 5-seat team costs $6,000/year baseline; no single-seat or 2-seat paid option
  • Enterprise pricing opaque: 'custom pricing' with no budget range for startups vs. enterprises; requires sales consultation
  • Model volume metering unclear: 'successful models/month' as a limit is ambiguous; unclear if this counts transformation runs, test runs, or deployment attempts

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

dbt

Free
  • DeveloperFree
  • Starter$100/seat/month
  • Enterprise$undefined/mo
  • Enterprise+$undefined/mo

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 dbt if

  • You want to start without paying.
  • You work on Cloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf).
dbt review

Choose turbopuffer if

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

Questions people ask

Is dbt or turbopuffer better?
Neither clearly leads. dbt 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, dbt or turbopuffer?
dbt has a free tier; the other does not. Paid plans start at Free for dbt and $16/month for turbopuffer.
Does dbt or turbopuffer run on more platforms?
dbt runs on Cloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf). turbopuffer runs on Web.
Can I use dbt for free?
Yes. dbt has a free tier, so you can try it without paying. turbopuffer starts at $16/month.
What is dbt best used for?
dbt is most often used for data warehouse transformation and elt pipelines, analytics engineering for reporting and business intelligence, data quality testing and validation at scale, cross-functional data collaboration with version control. Of those, data warehouse transformation and elt pipelines and analytics engineering for reporting and business intelligence are not what turbopuffer is typically brought in for.
What can dbt do that turbopuffer cannot?
turbopuffer covers Object storage architecture, Namespaces, Vector search, Full-text search.

Answered from the vendors’ own pages

dbt: How much does dbt cost?

dbt Developer is free. dbt Starter is $100/seat/month with a 5-seat minimum (or custom annual billing). Enterprise and Enterprise+ have custom pricing and require contacting sales.

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.

dbt: What is included in the free Developer plan?

The Developer plan is free and includes 1 developer seat, 3,000 successful models/month limit, 1 project, browser-based IDE, MFA, and job scheduling.

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.

dbt: What is the model limit on each plan?

Developer tier allows 3,000 successful models/month. Starter allows 15,000/month. Enterprise and Enterprise+ allow 100,000/month.

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.

dbt: Can I upgrade or downgrade my dbt plan?

Yes. dbt allows you to 'upgrade or downgrade at any time.' Starter plans bill monthly by credit card based on seat count; Enterprise plans are annual invoicing.

Source
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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