Qdrant vs Weaviate Comparison

Qdrant vs the alternative at a glance

Qdrant is the more precisely documented tool in this comparison: a cloud free tier that's free forever, an open-source self-hosted edition at no cost, and paid cloud tiers (Standard, Premium, Hybrid Cloud) that scale up from there. The fact sheet used to write this page only has verified Qdrant pricing, so the table below states what's confirmed and flags where Weaviate data isn't published. If you want a vector database with a genuinely free, permanent self-hosting option, Qdrant is the side of this comparison we can vouch for with real numbers.

Pricing compared

Qdrant's pricing spans from genuinely free to enterprise-scale, with the free options being the most concrete numbers on its pricing page. The cloud free tier is free forever rather than a time-limited trial, giving you 0.5 vCPU, 1 GB RAM, and 4 GB disk on a single-node cluster, plus free cloud inference with selected models. Separately, the open-source self-hosted edition is free with no usage cap at all, since you're running it on your own infrastructure.

Beyond free, Qdrant's Standard and Premium cloud tiers don't publish a fixed numeric price — Standard is usage-based with backup, disaster recovery, and a 99.5% uptime SLA, while Premium requires a minimum spend (amount not published) and adds SSO, private VPC links, and a 99.9% uptime SLA. Getting an exact number at those tiers means using Qdrant's pricing calculator or contacting sales directly.

Weaviate's pricing and plan structure aren't in the fact sheet used to write this page, so any cost comparison against Qdrant here would be guessing. If Weaviate's current pricing is a deciding factor, check its pricing page directly before committing.

Where Qdrant is stronger

Qdrant's biggest structural advantage is genuine optionality: you can self-host the open-source edition with no vendor relationship at all, use the cloud free tier indefinitely for small workloads since it's free forever rather than time-limited, or step up to Hybrid Cloud to run managed clusters on your own infrastructure while Qdrant handles the operational tooling. That range, from fully self-managed to fully managed with everything in between, is a real strength for a team unsure yet how much operational ownership they want.

For prototyping specifically, a free-forever tier with 4 GB disk beats a time-limited trial, since you're not racing a clock before you have to either pay or migrate off the platform. If you're evaluating Qdrant against a broader set of vector database options, our Pinecone vs Weaviate and Pinecone vs pgvector comparisons cover other angles on this decision, and our pgvector tutorial is worth a read if you're weighing whether you need a dedicated vector database at all.

Where the alternative is stronger

Weaviate is generally positioned as a mature, feature-rich vector database with strong support for hybrid search (combining vector similarity with traditional keyword search) and a modular architecture for plugging in different model providers, which for some teams is a meaningful capability beyond what a pure vector-search product offers.

Because the fact sheet does not document Weaviate's pricing tiers, resource limits, or feature gating between plans, this comparison can't state specific costs or free-tier limits for Weaviate. That's a meaningful gap: any "Qdrant vs Weaviate" verdict that quotes Weaviate numbers without checking its current pricing page directly should be treated with caution, since vector database pricing changes fairly often as the category matures.

If your use case specifically depends on Weaviate's hybrid search capability or its particular integration ecosystem, that's a real product-shape argument worth weighing — but it's a feature decision, not a pricing one, and it's outside what the verified data here can settle.

Which one should you pick?

Pick Qdrant if you want documented, verified pricing with a genuinely free self-hosting option and a free-forever cloud tier for prototyping. It's also the safer default if you want the flexibility to move between self-hosted and managed deployment without switching vendors.

Pick Weaviate only after confirming its current pricing and resource limits directly with the vendor, since none of that is in the fact sheet used for this page. If your workload specifically benefits from Weaviate's hybrid search or integration ecosystem, the calculus may favor it regardless of price; if documented pricing and self-hosting flexibility matter more, Qdrant's verified pricing makes it the easier recommendation here.

For production-scale decisions specifically, our best vector database for RAG in production guide goes further into how Qdrant and other options handle real production workloads beyond just pricing structure.