AICentralResources
AI Tool Comparison

Comparing as AI Vector Databases & RAG Infrastructure
Qdrant vs Weaviate

Qdrant

Qdrant

VS
Weaviate

Weaviate

Verdict by Category

Detailed category analysis is not available for this comparison.
View Qdrant View Weaviate

Detailed Comparison

Feature
Qdrant
Weaviate
Pricing
FreemiumQdrant's Free Tier is free forever, offering a single-node cluster with 0.5 vCPU, 1GB RAM, and 4GB disk, plus free cloud inference with selected models, ideal for testing and prototypes. The Standard Tier uses usage-based pricing for production workloads, billed hourly based on compute (vCPU), memory (GB), storage (GB), backup storage, and used inference tokens for paid models; it includes dedicated resources, flexible vertical and horizontal scaling, high availability setups, backup and disaster recovery, and a 99.5% uptime SLA. The Premium Tier requires a minimum spend and adds SSO, private VPC links, a 99.9% uptime SLA, and extra support for enterprises with additional security and compliance needs, available by contacting sales. Qdrant Hybrid Cloud lets teams run managed Qdrant clusters on their own infrastructure for local data residency and regulated workloads, while Private Cloud offers a fully isolated, air-gapped deployment for large enterprises; both require contacting the Qdrant team for pricing. The open-source Qdrant engine itself remains free and self-hostable under an Apache 2.0 license.
FreemiumWeaviate Cloud offers a permanently free tier: $0/month, 1 cluster per user, 100,000 objects, 1 GB memory, 10 GB disk, 1 collection with up to 3 tenants, 2,000 embeddings requests/day, and 1,000 Query Agent requests/month, no credit card required. Flex starts at $45/month on a pay-as-you-go basis with no commitment, unlimited objects, up to 1,000 collections, full core database toolkit with replication, RBAC, 99.5% uptime, and next-business-day Severity 1 support; billed on vector dimensions (from $0.00465/1M), storage (from $0.12/GiB), and backups (from $0.0264/GiB) on top of the base minimum. Premium starts at $400/month on a prepaid contract, offering choice of shared or dedicated deployment, up to 99.95% uptime, SSO/SAML, global coverage on AWS/GCP/Azure, and enterprise support as fast as 1-hour Severity 1 response with a dedicated Technical Account Team; dedicated deployment adds HIPAA compliance, AWS PrivateLink, and customer-managed encryption keys. Weaviate Embeddings is billed separately per model, from $0.025 to $0.065 per 1M tokens. Query Agent is free to try (1,000 requests/month) or $30/month per organization for 4,000 included requests plus usage-based overage.
Categories
AI Developer APIs & PlatformsAI Data & Analytics Tools
AI Developer APIs & PlatformsAI Data & Analytics ToolsAI No-Code / Automation Tools
Summary
Open-source vector search engine for production-grade AI retrieval
The open-source AI-native database for vector search, RAG, and memory
Qdrant

Qdrant Pros & Cons

Pros

  • Free forever tier with no time limit, ideal for testing and small projects
  • Open-source core under Apache 2.0 with full self-hosting flexibility
  • High-performance Rust architecture built for real-time, large-scale vector search
  • Native hybrid dense-sparse search and advanced filtering in a single query
  • Flexible deployment across managed cloud, hybrid, private, and edge environments
  • SOC 2 and HIPAA compliant with strong enterprise security options

Cons

  • Standard and Premium Cloud tiers use usage-based or minimum-spend pricing rather than flat, published rates
  • Premium tier features like SSO and private VPC links require talking to sales for pricing
  • Self-hosting the open-source engine requires managing your own infrastructure and scaling
  • As a specialized vector database, it requires pairing with separate embedding models and application logic
  • Some advanced enterprise features like custom SLAs are only available through Hybrid or Private Cloud contracts
Weaviate

Weaviate Pros & Cons

Pros

  • Genuinely free tier with no credit card required, plus fully open-source self-hosting as an alternative
  • Unifies vector search, RAG, embeddings, and personalization (Engram) in one platform instead of stitching together separate tools
  • Query Agent removes the need to hand-write vector or hybrid search syntax for common requests
  • Efficient multi-tenancy lets a single cluster support tens of thousands of isolated tenants, ideal for SaaS builders
  • Strong enterprise trust signals: SOC 2 Type II audited, HIPAA compliant on Enterprise Cloud, 20M+ open-source downloads

Cons

  • Free tier is capped at 100,000 objects and a single collection, pushing real projects to paid plans quickly
  • Premium tier requires a prepaid contract starting at $400/month, a jump from the pay-as-you-go Flex tier
  • Pricing based on vector dimensions and storage can be harder to estimate upfront than flat per-seat pricing
  • SSO/SAML, HIPAA compliance, and PrivateLink are reserved for Premium and Dedicated tiers, unavailable on Free or Flex