vioscaleAI
Comparison

KDB.AI vs Turbopuffer

On the evidence we track, Turbopuffer leads this comparison with a composite score of 68/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

KDB.AI full profile →Turbopuffer full profile →
Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
KDB.AI47
★Turbopuffer68
Score
vioscaleAI score
KDB.AI47 / 100low · 24%
Turbopuffer68 / 100medium · 61%
Pricing
Free tier
KDB.AI✓
Turbopuffer✗
Model
KDB.AIcommercial
Turbopuffercommercial
Price level
KDB.AIlow
Turbopuffermid
Starting price
KDB.AI–
Turbopuffer$16
Transparent
KDB.AI✗
Turbopuffer✓
Integrations
Count
KDB.AI5
Turbopuffer–
Security
Disclosure policy
KDB.AI✓
Turbopuffer✓
Gdpr
KDB.AI–
Turbopuffer✓
Hipaa
KDB.AI–
Turbopuffer✓
Soc2
KDB.AI–
Turbopuffer✓
Reliability
Sla pct
KDB.AI–
Turbopuffer99.95
Status page
KDB.AI–
Turbopuffer✓
Market
Availability
Content
Faq
KDB.AI4 items
Turbopuffer6 items

Capabilities

Feature-by-feature on the axes that matter for vector databases. “-” means undocumented, not absent.

Deployment
Deployment
KDB.AIManaged
TurbopufferManaged
Serverless / consumption pricing
KDB.AI-
Turbopuffer✓
Index
ANN index (HNSW / IVF / DiskANN / ScaNN / flat)
KDB.AIFlat, qFlat, IVF, IVFPQ, HNSW, qHnsw
TurbopufferSPFresh (centroid-based)
Distance metrics (cosine / dot / Euclidean)
KDB.AIEuclidean, Inner-Product, Cosine
Turbopuffer-
Query
Metadata filtering
KDB.AIPre-filter
TurbopufferPre-filter
Hybrid search (dense + sparse fusion)
KDB.AI✓
Turbopuffer✓
Built-in BM25 / lexical
KDB.AI✓
Turbopuffer✓
Storage
Quantization
KDB.AIProduct
Turbopuffer-
On-disk vs in-memory
KDB.AIDisk-backed
TurbopufferTiered
Scale
Multi-tenancy (namespaces / collections / tenants)
KDB.AI✓
Turbopuffer✓
Horizontal scale
KDB.AISharded / distributed
TurbopufferSharded / distributed
Consistency
Consistency
KDB.AI-
TurbopufferTunable
Licensing
Licence class
KDB.AI-
TurbopufferProprietary
Classification
Purpose-built vs feature-of-parent
KDB.AIDedicated DBMS
TurbopufferDedicated DBMS

What each one is

The product in its own terms, so the numbers below have context.

KDB.AI

KDB.AI is a specialized vector database enabling developers to build AI-powered applications by integrating vector embeddings with structured time-series data. It supports hybrid search, multimodal retrieval, and real-time analytics for generative AI and RAG applications.

Independently observed

Turbopuffer

Leader

Vector and full-text search database built on object storage, offering 10x cheaper cost and extreme scalability for AI applications, semantic search, and recommendation systems.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

KDB.AI

HybridFree tier

Free tier available; enterprise pricing via contact sales

  • FreeFree
as of verify ↗

Turbopuffer

Leader
from $16/moHybrid

From $16/month (Launch plan minimum) with consumption-based billing

  • Launch$16/month minimum with usage-based overage
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
KDB.AI–
Turbopuffer✓
CLI
KDB.AI–
Turbopuffer✓
Deployment
Cloud / SaaS
KDB.AI✓
Turbopuffer✓
On-premise
KDB.AI✓
Turbopuffer✗

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

KDB.AI

8 total
  • Hugging Face
  • NVIDIA cuVS
  • LlamaIndex
  • Langchain
  • Voyage AI
  • TwelveLabs
  • Google Colab
  • HuggingFace
Independently observed

Turbopuffer

Leader

Not documented yet.

Still deciding?

KDB.AI or Turbopuffer: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.