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Databases · head to head

ArangoDB vs Qdrant

ArangoDB logo

ArangoDB

Databases

Multi-model database for graph, document, and search

From
Free
Rated
-
Qdrant logo

Qdrant

Databases

High-performance vector database for similarity search and embedding-based retrieval

From
Free
Rated
-

The short version

  • Each has a real cost: ArangoDB the company has repositioned around a wider platform, so ArangoDB is now described as the foundation inside Arango rather than the product itself; Qdrant free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which ArangoDB and Qdrant actually diverge.

Attributes where ArangoDB and Qdrant differ
AttributeArangoDBQdrant
PlatformsLinux, Windows, Mac, Docker, WebCloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming)
Founded2014Unknown

Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), user rating (Not yet rated), category (Databases).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in ArangoDB

  • Multi-model Support
  • AQL Query Language
  • Graph Traversals
  • Full-text Search
  • ACID Transactions
  • SmartGraphs
  • Satellite Collections
  • Foxx Microservices

Only in Qdrant

Nothing recorded that ArangoDB does not also cover.

What people use each for

The jobs each tool is most often brought in to do.

ArangoDB

  • Graph, document and key-value data in one databasenot Qdrant
  • Vector and full-text search alongside graph traversalnot Qdrant
  • Avoiding separate stores for related and unstructured datanot Qdrant
  • Backing AI applications needing both graph context and vectorsnot Qdrant

Qdrant

  • Retrieval-augmented generation (RAG) backends for LLM applicationsnot ArangoDB
  • Semantic search across large document corporanot ArangoDB
  • Multimodal retrieval (text, images, video) for recommendation systemsnot ArangoDB
  • Similarity-based product or content recommendationsnot ArangoDB
  • Real-time vector indexing for streaming embedding datanot ArangoDB

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

ArangoDB

  • The company has repositioned around a wider platform, so ArangoDB is now described as the foundation inside Arango rather than the product itself
  • Neither the community licence terms nor cloud pricing are stated on the main site
  • arangodb.com redirects to arango.ai

Qdrant

  • Free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments
  • Standard and Premium pricing usage-based; specific costs not published; requires calculator or quote
  • Requires understanding of embeddings and vector search concepts; not suitable for SQL-only teams
  • Early-stage serverless offering (coming soon) suggests maturity gaps in that deployment model

Pricing, plan by plan

ArangoDB

Free
  • CommunityFree
    • All data models
    • AQL queries
    • Full-text search
  • ArangoGraph$99/month
    • Managed service
    • Graph analytics
    • Enterprise support

Qdrant

Free
  • FreeFree
    • Single-node cluster
    • 0.5 vCPU
    • 1GB RAM
  • Standard$undefined/usage-based
    • Dedicated resources
    • Flexible scaling
    • High availability
  • Premium$undefined/minimum spend
    • SSO and SAML
    • Private VPC links
    • 99.9% uptime SLA

Which should you pick?

Choose ArangoDB if

  • You need multi-model support.
  • You want to start without paying.
  • You work on Linux, Windows, Mac, Docker, Web.
  • You also want aql query language.

Choose Qdrant if

  • You want to start without paying.
  • You work on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming).

Questions people ask

Is ArangoDB or Qdrant better?
Neither clearly leads. ArangoDB starts at Free and Qdrant at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ArangoDB or Qdrant?
ArangoDB starts at Free and Qdrant at Free.
Does ArangoDB or Qdrant run on more platforms?
ArangoDB runs on Linux, Windows, Mac, Docker, Web. Qdrant runs on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming).
Can I use ArangoDB for free?
Both have a free tier, so you can try either at no cost before committing.
What is ArangoDB best used for?
ArangoDB is most often used for graph, document and key-value data in one database, vector and full-text search alongside graph traversal, avoiding separate stores for related and unstructured data, backing ai applications needing both graph context and vectors. Of those, graph, document and key-value data in one database and vector and full-text search alongside graph traversal are not what Qdrant is typically brought in for.
What can ArangoDB do that Qdrant cannot?
ArangoDB covers Multi-model Support, AQL Query Language, Graph Traversals, Full-text Search.

Answered from the vendors’ own pages

ArangoDB: How is ArangoDB priced?

ArangoDB offers Community Edition (free) and Enterprise Edition. Pricing is customized based on deployment model (self-managed, managed cloud AWS/GCP, or OEM/embedded) and customer requirements. Contact Arango for a quote.

Source
Qdrant: Can I use Qdrant for free?

Yes, Qdrant offers a free tier that provides a single node cluster with 0.5 vCPU, 1GB RAM, and 4GB disk space. It includes free cloud inference with selected models and is described as free forever for testing and prototypes.

Source
ArangoDB: What deployment options does ArangoDB offer?

ArangoDB can be deployed self-managed on customer infrastructure, as managed cloud (Arango Managed Platform on AWS/GCP), or as OEM/embedded solutions.

Source
Qdrant: How is Qdrant Cloud billing calculated?

Billing is calculated based on actual resource usage during each billing period. You are charged hourly for compute (vCPU), memory (GB), storage (GB), backups, and any paid inference tokens used.

Source
Qdrant: What happens if I scale beyond the free tier?

The Standard Tier uses the same usage-based billing model as the free tier but adds features like dedicated resources with flexible scaling, highly available setups with backup and disaster recovery, and a 99.5% uptime SLA.

Source
Qdrant: What SLA does Qdrant offer?

The Standard Tier provides 99.5% uptime SLA. The Premium Tier, which requires a minimum spend for enterprises, offers 99.9% uptime SLA along with single sign-on and private VPC links.

Source
Qdrant: Are there dedicated cloud infrastructure options?

Yes, Qdrant offers Hybrid Cloud (runs on your infrastructure) and Private Cloud (complete isolation) options, both with custom pricing that requires contacting the sales team.

Source
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