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SlateIndex
SupabaseBuild in a weekend. Scale to millions.
vs
turbopufferVector and full-text search built on object storage
Comparison · Vector Databases · weekly run Nov 2

Supabase vs turbopuffer

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Supabase is the stronger AI pick in Vector Databases: it has a visibility score of 5.7 versus 4.6 for turbopuffer, and ranks ahead in 100% of the answers that name both.

Choose Supabase if…

  • You want the brand AI engines rank higher (5.7 vs 4.6)
  • You want a free plan to start
  • You need a self-hosted or on-premises option
  • You need ISO 27001 or HIPAA (BAA available) coverage

Choose turbopuffer if…

  • You want a lower entry price ($16 vs $25)
  • AI answers describe it more positively (33% vs 18% positive)
  • You need HIPAA (Business Associate Agreement available) or GDPR-ready DPA coverage
  • Usage-based pricing suits your budget better than flat tiers

AI visibility side by side

Latest weekly run · Nov 2

Metric Supabase turbopuffer
Visibility score5.7%4.6%
Change vs last weekNewNew
Rank in Vector Databases#12#14
Share of voice2.2%1.9%
Mentions this run119
Positive in AI answers18%33%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Supabase 6%

Supabase 0pp · turbopuffer 0pp over 0 weekly runs.

Engine by engine

Supabase leads on 2 of 3 engines

ChatGPT
10.4%
6.7%
AI Mode
5.9%
4.3%
Perplexity
0.9%
2.8%
Supabaseturbopuffer

Head to head in AI answers

1 engine answers name both brands

1Supabase ranked higher
0turbopuffer ranked higher
PromptEngineSupabaseturbopuffer
Official website of the top vector database vendors Perplexity#11#13

Features, pricing & fit

DimensionSupabaseturbopuffer
Pricing modelFlat tiersUsage-based
Entry priceFree; paid from $25 / mo$16 / mo
Free planYesNo
DeploymentHosted cloud in AWS regions across the US, EU and Asia Pacific, or self-hosted open sourceMulti-tenant cloud on usage-based plans; single-tenant and bring-your-own-cloud (BYOC) deployments on the enterprise plan.
ComplianceSOC 2 Type 2, ISO 27001, HIPAA (BAA available)SOC 2 Type 2, HIPAA (Business Associate Agreement available), GDPR-ready DPA
SupportCommunity support (Free plan), Email support (Pro plan), Priority email support and SLAs (Team plan), 24x7 premium enterprise support and private Slack channel (Enterprise plan)Community Slack and email on all plans, Private Slack channel on higher plans, 24/7 support and 99.95% uptime SLA on enterprise
Founded20202023
HeadquartersRemote-first, United StatesOttawa, Ontario, Canada
Employees201–50011–50
FundingSeries D · $1000M raisedSeed
Best forTeams building production applications on Postgres that want auth, storage, realtime and vector search in one backendTeams building AI applications, semantic search or recommendation systems that need large-scale vector and full-text search at lower cost.

Plans side by side

Supabase

Free$0month
Pro$25month
Team$599month
EnterpriseCustomcustom
Supabase pricing

turbopuffer

launch$16month minimum usage
scale$256month minimum usage
enterprise$4,096month minimum usage (>= $4,096/month, 35% usage premium)
turbopuffer pricing

Pros and cons

Themes from the AI answers that mention each brand

Supabase

  • Integrates smoothly with Firebase and Supabase
  • Zero extra infrastructure when already running Postgres via Supabase
  • Pay nothing extra for pgvector on an existing database
  • Minimal operational overhead for existing Postgres clusters
  • Offers vector search via pgvector, with customers paying only for the database

    turbopuffer

    • serverless vector and full-text search built on object storage
    • high performance at a fraction of traditional costs
    • cloud-native, cost-conscious design
    • ranked among highest vendors in an industry ranking

      Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

      Cite as: SlateIndex, “Supabase vs turbopuffer”, https://slateindex.ai/compare/supabase-vs-turbopuffer, data of Nov 2, 2026. Licence: CC BY 4.0.