Tools
Haystack vs Pinecone
Haystack or Pinecone? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In inglese
In short
- Both: Choice of models, Self-hosted, API, Builds agents and workflows, Search over your data
- Only Haystack states: Traces and evaluates
- Only Pinecone states: Runs models for you
Haystack
Open-source Python framework for building modular AI agents, RAG systems, search, and other LLM applications.
Plans
Studio
Free
- 1 workspace
- 1 user
- 100 pipeline hours
- 50 files (max 10MB per file)
- 2 development pipelines
- Cloud deployment; Community support on Discord
Enterprise
Price on request
- Unlimited workspaces, users, files (no size limit)
- Unlimited development and production (high availability) pipelines
- Cloud or custom deployment
- Dedicated account team, solution engineers and private Slack channel
- SSO, Role-Based Access Control
- Custom package
Prices checked 2026-09-25 by web search.
Capabilities
- Choice of models — “Swap models and components without rewriting your system” source
- Self-hosted — “Run Haystack in your own environment, get dedicated support or extend it with a cloud or self-hosted platform to test, deploy, and operate pipelines at scale.” source
- API — “Serve pipelines as REST APIs or MCP servers with Hayhooks.” source
- Builds agents and workflows — “Haystack is an open-source AI orchestration framework built by deepset , enabling Python developers to build production-ready AI agents, multimodal applications, and advanced RAG systems .” source
- Search over your data — “Build highly performant RAG pipelines with a multitude of retrieval and generation strategies.” source
- Traces and evaluates — “Use tracing , logging , and evaluation tools to monitor retrieval quality, latency, tool usage, and outputs and iteratively refine your system.” source
Latest updates
- Haystack 3.2.0 (3.2.0)
Release notes for Haystack 3.2.0
- Haystack 3.1.1 (3.1.1)
Release notes for Haystack 3.1.1
- Haystack 3.1.0 (3.1.0)
Release notes for Haystack 3.1.0
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.