Head-to-head
Pinecone vs Qdrant: which one in 2026?
Pinecone is a serverless vector database from Pinecone Systems that is built on object storage, and Qdrant is a Rust-based vector search engine from Qdrant Solutions GmbH offered as a managed cloud and as hybrid or private deployments. The main difference is how much of the infrastructure you want to choose and see.
Verdict
Pinecone suits teams that want a managed service, a $20 flat step up from free, and enterprise features laid out plan by plan. Qdrant suits teams that need deployment flexibility or a written data-use limit, and that are ready to request a quote for anything past the free tier. Neither page shows the real monthly cost of a production cluster, so size a representative workload with each vendor before choosing.
Pinecone and Qdrant side by side
| Pinecone | Qdrant | |
|---|---|---|
| Price entry | $20 per month (Builder) | Free (1 GB RAM cluster), then usage-based |
| Free starting point | Starter is free and pay-as-you-go, capped at 5 indexes, 2 GB of storage and AWS us-east-1 as the only region. | Free Tier is a single node with 0.5 vCPU, 1 GB RAM and 4 GB disk, without high availability. |
| First paid step | Builder at $20 per month flat adds a choice of cloud and region, multiple projects and Datadog or Prometheus monitoring. | Standard has no fixed price shown, only hourly billing for vCPU, memory, storage and backups, so a monthly figure depends on the cluster size. |
| Minimums at scale | Standard has a $50 monthly usage minimum and Enterprise $500, both followed by pay-as-you-go charges for storage and egress. | Premium requires a minimum spend, but the amount is not shown on the pricing page checked. |
| Search features | Dense, sparse and full-text indexes are listed on Starter, plus Dedicated Read Nodes for provisioned read capacity on one workload. | Hybrid dense and sparse search, filters applied during HNSW traversal, quantization stated as up to 64x memory reduction, multivector and reranking options. |
| Running it in your own cloud | Bring Your Own Cloud runs Pinecone in your cloud account with outbound-only operations; pricing is not published. | Hybrid Cloud runs managed clusters on your infrastructure and Private Cloud gives an isolated deployment; both are priced by contacting the company. |
| Security and compliance | RBAC and SAML SSO start at Standard; audit logs, customer-managed keys and HIPAA compliance sit on Enterprise, with a $190 HIPAA add-on on Standard. | SSO and private VPC links begin at Premium. The footer shows SOC2, GDPR and HIPAA badges, but the privacy policy does not explain their scope. |
| Handling of customer data | The privacy policy covers website data and says nothing about training on customer data. Enterprise data is processed on instruction under a data processing agreement. | Section 5.2.2 of the privacy policy says customer-submitted data is not used for Qdrant's own purposes, apart from running the service and anonymized aggregates. |
| Support and uptime | Starter relies on Discord community help. Enterprise adds a 99.95% uptime SLA, and support add-ons cost $29 or $250 per month. | Standard carries a 99.5% SLA with a helpdesk open 10 hours a day. Premium raises this to 99.9% with round-the-clock response. |
Where each one wins
Pinecone wins on
- A flat $20 Builder plan with region choice gives a predictable first paid step before any usage minimums apply
- Published enterprise controls such as audit logs, customer-managed keys and a 99.95% uptime SLA on one named plan
- Dedicated Read Nodes reserve read capacity for one workload instead of sharing on-demand capacity
Qdrant wins on
- Hybrid and Private Cloud options let managed clusters run on your own infrastructure or fully isolated
- The privacy policy states in writing that customer-submitted data is not used for Qdrant's own business purposes
- Richer documented search controls: payload filters during traversal, quantization, multivectors and reranking
Which to pick
Pick Pinecone if
You want a managed serverless service with a flat entry plan, a choice of cloud and region, and enterprise controls listed by plan on the pricing page.
Pick Qdrant if
You care about running managed clusters on your own infrastructure, a Berlin-based vendor, and a written limit on how customer data is used.
Each tool in context: Pinecone, Qdrant, and the full Best Vector Databases in 2026.
Frequently asked questions
Can Qdrant run in my own cloud while Pinecone cannot?
Both offer it. Qdrant sells Hybrid Cloud, where managed clusters run on your own infrastructure, and Private Cloud for isolated deployments. Pinecone sells Bring Your Own Cloud, which runs Pinecone in your cloud account with outbound-only operations. Neither vendor publishes a price for these options, so both require contacting sales.
What does the free plan of Pinecone allow compared with Qdrant?
As of November 2026, Pinecone Starter allows up to 5 indexes, 1 project, 2 GB of storage and 2 million writes and 1 million reads a month, in AWS us-east-1 only. Qdrant's Free Tier is one node with 0.5 vCPU, 1 GB RAM and 4 GB of disk, with no high availability.
Do Pinecone or Qdrant train on my vectors and documents?
Qdrant's privacy policy says customer-submitted data is not used for its own business purposes except to support the service, to create anonymized aggregates, or as the customer permits in writing. Pinecone's policy, as checked, does not state whether customer data is used for AI training, so ask for the data processing terms.
Which of the two shows a clearer monthly price?
Pinecone shows a $20 flat Builder plan, a $50 Standard minimum and a $500 Enterprise minimum, each followed by usage charges. Qdrant's Standard tier shows no fixed price, only hourly billing for resources, and Premium states a minimum spend without the amount. Pinecone is easier to budget from the page alone.