Tools
Pinecone vs Vectara Platform
Pinecone or Vectara Platform? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In short
- Both: Choice of models, Self-hosted, API, Runs models for you, Builds agents and workflows, Search over your data
- Only Vectara Platform states: Traces and evaluates
Pinecone
Pinecone is a managed vector database for semantic search, recommendations, RAG, and AI agent retrieval.
Plans
Starter
Free
- Pinecone Database On-Demand
- Pinecone Inference
- Pinecone Assistant
- Dense, Sparse, and Full-Text Indexes
- Console Metrics
- Community Support via Discord
Builder
- $20/month flat
- Everything in Starter
- Increased usage limits
- Choose your cloud and region
- Multiple projects and users
- Prometheus and Datadog monitoring
- Includes Free support
Standard
- $50/month min. usage
- Everything in Builder
- Pay-as-you-go for Database On-Demand, Inference, and Assistant Usage
- Choose your cloud and region
- Dedicated Read Nodes (DRN)
- Import from object storage
- Backup and Restore
Enterprise
- $500/month min. usage
- Everything in Standard
- 99.95% Uptime SLA
- Bring Your Own Cloud (BYOC)
- Private Endpoints
- Customer Managed Encryption Keys
- Audit Logs
Bring your own cloud
Price on request
- Pinecone in your cloud account
- Zero-access operations – no SSH, VPN, or inbound access required
- Outbound-only operations with an auditable trail
- Pro support included
Prices checked 2026-09-24 on the maker’s page.
Capabilities
- Choice of models — “All available models” source
- Self-hosted — “Bring-your-own-cloud (BYOC) runs Pinecone in your cloud account and VPC.” source
- API — “Install the plugin in your agent, or call the API directly.” source
- Runs models for you — “Pinecone Inference” source
- Builds agents and workflows — “Build production-grade agent-based apps” source
- Search over your data — “Search, upsert, and rerank from the same index.” source
Security
- SOC 2 Type II — “Pinecone is SOC2 Type II certified, HIPAA compliant (with BAA available upon request), and GDPR-ready.” source
- SOC 2 — “Pinecone is SOC2 Type II certified, HIPAA compliant (with BAA available upon request), and GDPR-ready.” source
- HIPAA — “Pinecone is SOC2 Type II certified, HIPAA compliant (with BAA available upon request), and GDPR-ready.” source
- Not trained on your data — “Your data remains isolated and protected, and is only used for servicing API calls.” source
Latest updates
- Pod-to-serverless migration supports up to 500 million records
Migrating a pod-based index to serverless now supports indexes with up to 500 million records, up from 50 million.
- Gemini 3.5 Flash now available for Assistant chat
Pinecone Assistant now supports Google’s Gemini 3.5 Flash model.
- Gemini 2.5 Pro and o4-mini deprecations for Assistant
Pinecone Assistant automatically routes gemini-2.5-pro to Gemini 3.5 Flash and o4-mini to GPT-5, at the same price.
Vectara Platform
Enterprise platform for building, deploying, and governing AI agents over business data.
Plans
30 Day Free Trial
Free
- 30 days to try Vectara
- 10,000 credits included
- All features included for 30 days
SaaS
- Starting at $100K/ year
- 1 SaaS Deployment
- 10,000,000 credits/year included with base platform package purchase
VPC
- Starting at $250K/ year
- 1 VPC Deployment (Any VPC)
- 100,000,000 credits/year included with base platform package purchase
On-prem
- Starting at $500K/ year
- 1 On-Premise Deployment
- 100,000,000 credits/year included with base platform package purchase
Prices checked 2026-09-24 by web search.
Capabilities
- Choice of models — “Vectara lets you apply the retrieval LLM that best fits your use case.” source
- Self-hosted — “Vectara is available as a service on-premises, within your VPC, or via SaaS.” source
- API — “One easy-to-use API to enable 100s of use cases” source
- Runs models for you — “Vectara's own RAG-optimized Generative LLM” source
- Builds agents and workflows — “Vectara provides the industry's highest accuracy and lowest hallucination rates.” source
- Search over your data — “Vectara employs agentic extraction from documents, neural and lexical search, knowledge re-ranking, and customized generation.” source
- Traces and evaluates — “Vectara flips the script, providing granular observability and proactive Guardian Agents.” source
Latest updates
- LLM Token Quotas and Per-Agent Quotas
Cap input and output tokens per minute, UTC day, and UTC month for an LLM or agent.
- Confluence Ingests Attachments and Embedded Images
A Confluence pipeline source ingests page attachments as records and inlines images embedded in page bodies.
- Ingest Multiple S3 Prefixes in One Pipeline
An S3 pipeline source scopes ingestion with prefixes, a list of up to 100 key prefixes.