Pinecone vs Groq
Managed vector database for AI — RAG, semantic search, recommendations
vs. Fastest LLM inference — LPU-powered (300-1000+ tokens/sec)
Pricing tiers
Pinecone
Starter (Free)
2 GB storage, 2M write units/mo, 1M read units/mo, up to 5 indexes. us-east-1 AWS only.
Free
Standard
$50/month minimum. Unlimited storage ($0.33/GB/mo) + writes ($4-4.50/M) + reads ($16-18/M). 20 indexes/project. Multi-region, multi-cloud.
$50/mo
HIPAA Add-on
$190/month add-on for HIPAA-eligible workloads.
$190/mo
Enterprise
$500/month minimum. Higher per-unit rates for dedicated infra + SLA. 200 indexes.
$500/mo
Groq
Free Tier
Generous free RPM / TPM by model. Great for dev + small apps.
Free
On-Demand (paid)
Pay-as-you-go per token. OpenAI-compatible API, no infrastructure to manage.
$0 base (usage-based)
Developer Tier
Higher rate limits for production apps.
$0 base (usage-based)
Enterprise
Custom. Dedicated capacity, SLA, on-prem option.
Custom
Free-tier quotas head-to-head
Comparing starter on Pinecone vs free-tier on Groq.
| Metric | Pinecone | Groq |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Pinecone · 13 features
- Backups + PITR — Automated + manual backups.
- HIPAA Eligible — BAA available via add-on.
- Metadata Filtering — Filter vectors on metadata at query time.
- Monitoring — Metrics endpoint, export to Datadog/Prometheus.
- Namespaces — Multi-tenancy inside an index. Isolate vectors per customer.
- Pinecone Assistant — RAG-as-a-service: upload docs → get a ready chat endpoint.
- Pinecone Inference — Hosted embedding models (multilingual-e5, llama-text-embed-v2, etc.) inside data…
- Pod-Based Indexes — Dedicated pods (p1, s1, p2) for consistent low-latency workloads.
- Private Networking — AWS PrivateLink / VPC peering on Enterprise.
- RBAC — Per-project + per-API-key roles.
- Rerank (Cohere-backed) — Optional reranker on top of vector search.
- Serverless Indexes — Pay per use. No provisioning. Auto-scales.
- Sparse-Dense Vectors — Hybrid search: sparse (keyword) + dense (semantic) together.
Groq · 7 features
- Audio Transcription — Whisper endpoint.
- Batch API — 50% discount.
- Chat Completions (OpenAI-compat) — Standard /v1/chat/completions endpoint.
- Function Calling
- JSON Mode — Enforce JSON output format.
- Prompt Caching — 50% discount on cached input.
- Streaming — SSE streaming for chat.
Developer interfaces
| Kind | Pinecone | Groq |
|---|---|---|
| CLI | Pinecone CLI | — |
| SDK | go-pinecone, @pinecone-database/pinecone, pinecone-java-client, Pinecone.NET, pinecone (Python) | groq-python, groq-sdk (Node) |
| REST | Data Plane (per-index), Pinecone Control Plane | Groq API (OpenAI-compat) |
| MCP | Pinecone MCP | — |
Staxly is an independent catalog of developer platforms. Outbound links to Pinecone and Groq are plain references to their official websites. Pricing is verified against vendor pages at publication time — reconfirm before buying.
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