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Databases · head to head

ArangoDB vs Vespa

ArangoDB logo

ArangoDB

Databases

Multi-model database for graph, document, and search

From
Free
Rated
-
Full reviewWebsite
Vespa logo

Vespa

Databases

Distributed AI search platform for retrieval, ranking, and inference

From
Free
Rated
-
Full reviewWebsite

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; Vespa pricing not publicly listed, requires contacting sales
  • They diverge on capability: ArangoDB covers Multi-model Support, Vespa covers Vector search.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which ArangoDB and Vespa actually diverge.

Attributes where ArangoDB and Vespa differ
AttributeArangoDBVespa
Pricing modelfreemiumcontact-sales
PlatformsLinux, Windows, Mac, Docker, WebCloud, Self-hosted
Founded20142023

Identical on both: starting price (Free), 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 Vespa

  • Vector search
  • Text and structured search
  • Machine-learned ranking
  • Real-time serving
  • SQL interface
  • Automatic scaling
  • Open-source

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 Vespa
  • Vector and full-text search alongside graph traversalnot Vespa
  • Avoiding separate stores for related and unstructured datanot Vespa
  • Backing AI applications needing both graph context and vectorsnot Vespa

Vespa

  • Build RAG systems with semantic search over documentsnot ArangoDB
  • Power e-commerce search with ML rankingnot ArangoDB
  • Create recommendation engines for personalizationnot ArangoDB
  • Implement real-time search for news or feedsnot ArangoDB
  • Deploy private semantic search over sensitive 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

Vespa

  • Pricing not publicly listed, requires contacting sales
  • Steeper learning curve compared to simpler search tools
  • Operational complexity for self-hosted deployments
  • Smaller ecosystem compared to cloud-native alternatives

Pricing, plan by plan

ArangoDB

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

Vespa

Free

No published plan breakdown. See the Vespa review.

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.
ArangoDB review

Choose Vespa if

  • You need vector search.
  • You want to start without paying.
  • You work on Cloud, Self-hosted.
  • You also want text and structured search.
Vespa review

Questions people ask

Is ArangoDB or Vespa better?
Neither clearly leads. ArangoDB starts at Free and Vespa at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ArangoDB or Vespa?
ArangoDB starts at Free and Vespa at Free.
Does ArangoDB or Vespa run on more platforms?
ArangoDB runs on Linux, Windows, Mac, Docker, Web. Vespa runs on Cloud, Self-hosted.
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 Vespa is typically brought in for.
What can ArangoDB do that Vespa cannot?
ArangoDB covers Multi-model Support, AQL Query Language, Graph Traversals, Full-text Search. Vespa covers Vector search, Text and structured search, Machine-learned ranking, Real-time serving.

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
Vespa: Is Vespa open-source?

Yes, Vespa is open-source under the Apache 2.0 license. The code is available on GitHub, and you can self-host or use the managed cloud service.

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
Vespa: What latency can Vespa achieve?

Vespa is designed for sub-100 millisecond latencies with thousands of queries per second, suitable for real-time search and recommendation applications.

Source
Vespa: Does Vespa support vector search?

Yes, Vespa provides native vector search capabilities alongside text, structured data, and tensor operations for building comprehensive search and AI applications.

Source
Vespa: What is the pricing model for Vespa Cloud?

Vespa Cloud pricing is not publicly listed and requires contacting their sales team to discuss your specific use case and scale requirements.

Source
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