Comparison

Pinecone vs txtai

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.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
★Pinecone75
txtai61
Score
vioscaleAI score
Pinecone75 / 100medium · 74%
txtai61 / 100medium · 56%
Pricing
Free tier
Pinecone✓
txtai✓
Model
Pineconefreemium
Price level
Pineconemid
txtaifree
Starting price
Pinecone$20
txtai–
Transparent
Pinecone✓
txtai✓
Integrations
Count
Pinecone8
txtai5
Security
Certifications
Gdpr
Pinecone✓
txtai–
Hipaa
Pinecone✓
txtai–
Iso27001
Pinecone✓
txtai–
Scorecard
Pinecone–
txtai5.4
Soc2
Pinecone✓
txtai–
Trust center
Reliability
Sla pct
Pinecone99.95
txtai–
Status page
Pinecone✓
txtai✓
Adoption
Dependent repos
Pinecone–
txtai14
Github stars
Pinecone–
txtai13,018
Activity
Commits last 30d
Pinecone–
txtai100
Release
Cadence days
Pinecone–
txtai27
History
Pinecone–
License
Spdx
Pinecone–
Language
Primary
Pinecone–
txtaiPython
Market
Availability
txtai–
Content
Faq
Pinecone6 items
txtai6 items

Capabilities

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

Deployment
Deployment
PineconeManaged
txtaiEmbedded
Serverless / consumption pricing
Pinecone✓
txtai-
Index
ANN index (HNSW / IVF / DiskANN / ScaNN / flat)
PineconeHNSW, DiskANN
txtaiHNSW, IVF, IVFSparse, milvus-lite, turbovec, zvec
Distance metrics (cosine / dot / Euclidean)
Pineconecosine
txtaicosine
Query
Metadata filtering
PineconePost-filter
txtaiPre-filter
Hybrid search (dense + sparse fusion)
Pinecone✓
txtai✓
Built-in BM25 / lexical
Pinecone✓
txtai✓
Storage
Quantization
Pinecone-
txtaiScalar
On-disk vs in-memory
PineconeTiered
txtaiDisk-backed
Scale
Multi-tenancy (namespaces / collections / tenants)
Pinecone✓
txtai✓
Horizontal scale
PineconeSharded / distributed
txtaiSharded / distributed
Consistency
Consistency
PineconeEventual
txtaiTunable
Licensing
Licence class
PineconeProprietary
txtaiPermissive OSS
Classification
Purpose-built vs feature-of-parent
PineconeDedicated DBMS
txtaiDedicated DBMS

What each one is

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

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

txtai

txtai is an open-source Python framework for building semantic search applications, LLM-powered agents, retrieval augmented generation systems, and language model workflows with support for multiple vector backends and integration with various LLMs.

Independently observed

Pricing

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

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 ↗

txtai

Open sourceFree tier
as of verify ↗

Platform & deployment

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

Platforms
Web
Pinecone✓
txtai✓
CLI
Pinecone✗
txtai✓
Deployment
Cloud / SaaS
Pinecone✓
txtai✗
Self-hosted
Pinecone✗
txtai✓
Hybrid
Pinecone✓
txtai✗

Integrations

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

In common (1)
  • Claude

Pinecone

Leader
20 total - 19 not shared
  • Azure OpenAI
  • GitHub CoPilot
  • Azure Marketplace
  • Microsoft Marketplace
  • AWS
  • Google Cloud Platform
  • Microsoft Azure
  • Google Drive
  • Slack
  • Vercel
  • Datadog
  • Prometheus
  • GCP
  • Azure
  • Cursor
  • Vercel AI SDK
  • Confluent
  • Zapier
  • Discord
Independently observed

txtai

12 total - 11 not shared
  • llama.cpp
  • LiteLLM
  • Hugging Face
  • OpenAI
  • AWS Bedrock
  • smolagents
  • OpenCode
  • DuckDB
  • Milvus
  • LiteRT
  • Model Context Protocol
Independently observed
Still deciding?

Pinecone or txtai: 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.