Software · head to head
ArangoDB vs DataStax

ArangoDB
Software
Multi-model database for graph, document, and search
- 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; DataStax dataStax's own Astra DB documentation states the Enterprise plan is an annual, contract-based plan with negotiated pricing, meaning list prices are not published for that tier
- They diverge on capability: ArangoDB covers Multi-model Support, DataStax covers Cassandra Compatible.
Where they differ
Only the attributes on which ArangoDB and DataStax actually diverge.
Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 DataStax
- Cassandra Compatible
- Vector Search
- Serverless
- Multi-cloud
- Streaming
- CDC
- GraphQL API
- LangChain
Both cover
- Kafka
- Spark
- Kubernetes
- Web support
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 DataStax
- Vector and full-text search alongside graph traversalnot DataStax
- Avoiding separate stores for related and unstructured datanot DataStax
- Backing AI applications needing both graph context and vectorsnot DataStax
DataStax
- Real-time applicationsnot ArangoDB
- Content managementnot ArangoDB
- User profilesnot ArangoDB
- Mobile backendsnot ArangoDB
- Cachingnot 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
DataStax
- DataStax's own Astra DB documentation states the Enterprise plan is an annual, contract-based plan with negotiated pricing, meaning list prices are not published for that tier
- DataStax's Astra DB documentation directs Standard plan customers to IBM's watsonx.data pricing for exact consumption-based rates following the DataStax/IBM deal, rather than publishing them on DataStax's own site
Pricing, plan by plan
ArangoDB
Free- CommunityFree
- All data models
- AQL queries
- Full-text search
- ArangoGraph$99/month
- Managed service
- Graph analytics
- Enterprise support
DataStax
Free- FreeFree
- 5GB storage
- 40M read/write ops
- Vector search
- Pay As You GoFree
- Usage-based pricing
- Multi-region
- Enterprise support
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 DataStax if
- You need cassandra compatible.
- You want to start without paying.
- You work on Web, Aws, Azure, Gcp.
- You also want vector search.
Questions people ask
- Is ArangoDB or DataStax better?
- Neither clearly leads. ArangoDB starts at Free and DataStax at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ArangoDB or DataStax?
- ArangoDB starts at Free and DataStax at Free.
- Does ArangoDB or DataStax run on more platforms?
- ArangoDB runs on Linux, Windows, Mac, Docker, Web. DataStax runs on Web, Aws, Azure, Gcp.
- 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 DataStax is typically brought in for.
- What can ArangoDB do that DataStax cannot?
- ArangoDB covers Multi-model Support, AQL Query Language, Graph Traversals, Full-text Search. DataStax covers Cassandra Compatible, Vector Search, Serverless, Multi-cloud. Both handle Kafka, Spark, Kubernetes, Web support.
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