Pinecone vs MongoDB Atlas Vector Search pricing
Both are in vector database apis. Pinecone is billed per read/write unit + storage; MongoDB Atlas Vector Search is billed atlas cluster consumption-based. Numbers below are copied from each vendor's pricing page.
PineconeFree tier or trial
- Free tier
- Starter: 2GB storage (~350K vectors), 1 index, no SLA
- Billed
- Per read/write unit + storage
- Best for
- Serverless vector search for production RAG
- Verified
- Jun 27, 2026
MongoDB Atlas Vector SearchFree tier or trial
- Free tier
- M0 cluster: 512MB storage, shared
- Billed
- Atlas cluster consumption-based
- Best for
- Vector search inside operational MongoDB
- Verified
- Jun 27, 2026
Pinecone plans
| Plan | Price | What it covers |
|---|---|---|
| Starter | $0/month | Free on-demand serverless database, Inference, Assistant, dense/sparse/full-text indexes, console metrics, community Discord support. |
| Builder | $20/month flat | Everything in Starter plus higher usage limits, multiple projects/users, and Prometheus + Datadog monitoring. |
| Standard | $50/month minimum usage | Pay-as-you-go pricing, Dedicated Read Nodes, backup/restore, RBAC, SAML SSO; 3-week trial with $300 credits. |
| Enterprise | $500/month minimum usage | Adds 99.95% uptime SLA, private networking, customer-managed encryption keys, audit logs, and Pro support. |
| Bring Your Own Cloud (BYOC) | Custom | Pinecone deployed in your own cloud account with zero-access operations and Pro support. |
- Consumption-based pricing is hard to predict; multiple reports of bills running 2.5-4x over budget at scale
- Serverless cold starts add 200-800ms latency on idle indexes and cannot be disabled on that tier
- $50/month minimum on Standard (introduced late 2025) and opaque capacity-fee mechanics surfacing after the fact
Source: https://www.pinecone.io/pricing/
MongoDB Atlas Vector Search plans
| Plan | Price | What it covers |
|---|---|---|
| Free (M0) | $0/mo | 512 MB storage, shared RAM/vCPU; for learning and prototyping. Vector Search available on shared tiers with limits. |
| Flex | $8-$30/mo | Usage-based ($0.011-$0.041/hr), 5 GB storage, tiered by ops/sec; for dev/test and unpredictable traffic. |
| Dedicated (M10+) | from $0.08/hr (~$57/mo) | M10 = 2 vCPU / 2 GB RAM; scales to M300 (96 vCPU / 384 GB) at $21.85/hr. Required for production with 99.995% SLA. |
| Vector Search Nodes (High-CPU) | $0.12-$3.26/hr per node | Dedicated search compute, billed separately, two-node minimum. S20 ($0.12) to S80 (64 vCPU / 128 GB, $3.26). |
| Vector Search Nodes (Storage-optimized) | ~$1.04/hr for s50 (2 nodes) | s50 = 32 GB RAM / 4 vCPU used in MongoDB benchmarks for scalar-quantized 15.3M-vector workloads. |
- Pricing is the most common complaint across G2/PeerSpot - expensive and hard to predict versus self-hosting
- HNSW indexes need ~1.2-1.5x raw vector size in RAM and must fit in memory, making memory planning critical and upgrades costly
- Production vector workloads require separately-billed Search Nodes with a two-node minimum, adding base cost
Source: https://www.mongodb.com/pricing