vioscaleAI
Comparison

KDB.AI vs Pinecone

On the evidence we track, Pinecone leads this comparison with a composite score of 75/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

KDB.AI full profile →Pinecone full profile →
Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
KDB.AI47
★Pinecone75
Score
vioscaleAI score
KDB.AI47 / 100low · 24%
Pinecone75 / 100medium · 74%
Pricing
Free tier
KDB.AI✓
Pinecone✓
Model
KDB.AIcommercial
Pineconefreemium
Price level
KDB.AIlow
Pineconemid
Starting price
KDB.AI–
Pinecone$20
Transparent
KDB.AI✗
Pinecone✓
Integrations
Count
KDB.AI5
Pinecone8
Security
Certifications
Disclosure policy
KDB.AI✓
Pinecone–
Gdpr
KDB.AI–
Pinecone✓
Hipaa
KDB.AI–
Pinecone✓
Iso27001
KDB.AI–
Pinecone✓
Soc2
KDB.AI–
Pinecone✓
Trust center
Reliability
Sla pct
KDB.AI–
Pinecone99.95
Status page
KDB.AI–
Pinecone✓
Market
Availability
KDB.AI–
PineconeAvailable worldwide
Content
Faq
KDB.AI4 items
Pinecone6 items

Capabilities

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

Deployment
Deployment
KDB.AIManaged
PineconeManaged
Serverless / consumption pricing
KDB.AI-
Pinecone✓
Index
ANN index (HNSW / IVF / DiskANN / ScaNN / flat)
KDB.AIFlat, qFlat, IVF, IVFPQ, HNSW, qHnsw
PineconeHNSW, DiskANN
Distance metrics (cosine / dot / Euclidean)
KDB.AIEuclidean, Inner-Product, Cosine
Pineconecosine
Query
Metadata filtering
KDB.AIPre-filter
PineconePost-filter
Hybrid search (dense + sparse fusion)
KDB.AI✓
Pinecone✓
Built-in BM25 / lexical
KDB.AI✓
Pinecone✓
Storage
Quantization
KDB.AIProduct
Pinecone-
On-disk vs in-memory
KDB.AIDisk-backed
PineconeTiered
Scale
Multi-tenancy (namespaces / collections / tenants)
KDB.AI✓
Pinecone✓
Horizontal scale
KDB.AISharded / distributed
PineconeSharded / distributed
Consistency
Consistency
KDB.AI-
PineconeEventual
Licensing
Licence class
KDB.AI-
PineconeProprietary
Classification
Purpose-built vs feature-of-parent
KDB.AIDedicated DBMS
PineconeDedicated 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

Pinecone

Leader

A cloud-hosted vector database designed for AI applications, enabling fast semantic search and retrieval without performance degradation at scale. Supports dense, sparse, and full-text search with automatic indexing and built-in compliance for production use.

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 ↗

Pinecone

Leader
from $20/moHybridFree tier21-day trial

Free tier available. Paid plans from $20/month; production plans $50–$500/month minimum plus usage-based charges.

  • StarterFree
    • Dense, Sparse, and Full-Text Indexes
    • Console Metrics
    • Community Support via Discord
    • USA region only
  • Builder$20/month flat
    • Everything in Starter
    • Increased usage limits
    • Multiple projects and users
    • Any cloud and region
    • Prometheus and Datadog monitoring
    • +1 more
  • Standard$50/month minimum + usage-based. 3-week free trial with $300 credits.
    • Everything in Builder
    • Unlimited storage
    • Pay-as-you-go Database On-Demand, Inference, and Assistant usage
    • Dedicated Read Nodes
    • Import from object storage
    • +4 more
  • Enterprise$500/month minimum + usage-based
    • Everything in Standard
    • 99.95% Uptime SLA
    • Bring Your Own Cloud (BYOC)
    • Private Endpoints
    • Customer Managed Encryption Keys
    • +5 more
  • Bring Your Own CloudContact sales
    • Pinecone runs in customer's cloud account and VPC
    • Zero-access operations – no SSH, VPN, or inbound access
    • Outbound-only operations with auditable trail
    • AWS PrivateLink, GCP Private Service Connect, or Azure Private Link
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–
Pinecone✓
Deployment
Cloud / SaaS
KDB.AI✓
Pinecone✓
On-premise
KDB.AI✓
Pinecone✗
Hybrid
KDB.AI✗
Pinecone✓

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

Pinecone

Leader
20 total
  • Azure OpenAI
  • GitHub CoPilot
  • Azure Marketplace
  • Microsoft Marketplace
  • AWS
  • Google Cloud Platform
  • Microsoft Azure
  • Google Drive
  • Slack
  • Vercel
  • Claude
  • Datadog
  • Prometheus
  • GCP
  • Azure
  • Cursor
  • Vercel AI SDK
  • Confluent
  • Zapier
  • Discord
Independently observed
Still deciding?

KDB.AI or Pinecone: 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.