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ArangoDB vs SurrealDB

Side-by-side comparison of features, pricing, ratings, and alternatives.

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ArangoDB
ArangoDBA multi-model database unifying graph, document, key-value, vector, and search for AI-driven applications.
SurrealDB
SurrealDBA scalable, ACID‑compliant NoSQL database with SQL‑like queries
Overview
Description

ArangoDB is a graph-native, multi-model database that combines graph, document, key-value, vector, and full-text search capabilities in a single system, avoiding the need to stitch together multiple specialized databases. The company has rebranded as Arango and now positions the database as the core of an AI Data Platform aimed at giving enterprise AI agents and applications a unified context layer. ArangoDB is available as a free, open-source Community Edition for evaluation and non-commercial use, with an Enterprise Edition adding high availability, disaster recovery, role-based access control, and lifecycle support. On top of the core database, Arango offers platform features like AutoGraph for automatically building knowledge graphs from existing data, Deep Search for routing queries to the right retrieval strategy, and AQLizer for turning natural-language questions into optimized AQL queries; commercial pricing requires contacting Arango directly.

SurrealDB is a cloud‑native, distributed database that combines the flexibility of NoSQL with the power of SQL‑style querying. It delivers strong ACID guarantees while scaling horizontally for modern applications. Designed for developers and startups, SurrealDB offers seamless integration with popular languages and frameworks, making it easy to embed real‑time data capabilities into web and mobile services.

Pricing
Contact for Pricing
Freemium
Category
Databases
Databases
Best for
Developers and enterprises building AI agents or apps needing graph, document, and vector data toget
Developers and startups
Specifications
deployment
Self-hosted
—
open source
Yes
Yes
support options
Community edition support, Enterprise SLA support
Email, Documentation, Community Forum
key integrations
GraphRAG, HybridRAG, vector embeddings, GPU acceleration
JavaScript, Python, Java, Node.js
github stars
—
32,749
api available
—
Yes
primary language
—
Rust
Pros & Cons
Pros
  • Free, open-source Community Edition available
  • Combines multiple data models (graph, document, key-value, vector) in one database, reducing tool sprawl
  • AI-native features like GraphRAG and automatic knowledge graph construction
  • Established project with a long open-source track record
  • Combines NoSQL flexibility with familiar SQL syntax
  • Built‑in real‑time subscription support
  • Strong ACID compliance for distributed workloads
  • Easy integration with major programming languages
Cons
  • Commercial and platform pricing is not published and requires contacting sales
  • Recent rebrand to Arango may create confusion with the long-established ArangoDB name
  • Multi-model flexibility can add complexity versus a single-purpose database
  • Ecosystem and community are smaller than established databases
  • Advanced clustering setup can be complex for beginners
  • Limited official GUI tools for data exploration
Community & Metrics
Upvotes
0
0
User rating
Not enough data
Not enough data

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SurrealDB
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PostgreSQL
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TiDB
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ArangoDB
ArangoDB

A multi-model database unifying graph, document, key-value, vector, and search for AI-driven applications.

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The Verdict

AI-generated from listing data

SurrealDB is the safer default for developers who want a SQL‑style NoSQL with real‑time subscriptions and simple language SDKs, while ArangoDB shines for AI‑centric, multi‑model workloads despite less transparent pricing.

Key differences

  • •SurrealDB offers SQL‑like queries on NoSQL data; ArangoDB uses its own AQL and supports many data models.
  • •ArangoDB includes built‑in vector search and AI‑native features (GraphRAG, Deep Search); SurrealDB does not.
  • •SurrealDB provides real‑time WebSocket change notifications; ArangoDB focuses on graph and search capabilities.
  • •SurrealDB lists specific language SDKs (JS, Python, Java, Node); ArangoDB emphasizes graph/RAG integrations rather than language SDKs.
DimensionWinner

Pricing & value

Both are freemium, but SurrealDB’s open‑source model has no hidden commercial tier, whereas ArangoDB’s enterprise pricing is undisclosed.

SurrealDB

Ease of use / learning curve

SQL‑style syntax and straightforward SDKs make SurrealDB easier for developers familiar with relational queries.

SurrealDB

Features & depth

ArangoDB combines graph, document, key‑value, vector and full‑text search plus AI‑native tools, exceeding SurrealDB’s feature set.

ArangoDB

Integrations & ecosystem

SurrealDB lists concrete SDKs for JavaScript, Python, Java, and Node.js; ArangoDB mentions higher‑level AI integrations but no language SDKs.

SurrealDB

Scalability

Both provide automatic horizontal sharding and replication for high‑traffic workloads.

Tie

Support

ArangoDB offers enterprise SLA support; SurrealDB provides only email, docs, and community forum.

ArangoDB

Security & privacy

SurrealDB includes built‑in authentication and role‑based access control; ArangoDB’s security features are not specified.

SurrealDB

Choose ArangoDB if…

Enterprises building AI‑driven apps that require graph, document, vector and full‑text search in one DB.

Choose SurrealDB if…

Startups or developers needing SQL‑like NoSQL with real‑time updates and simple language SDKs.

Common questions

Is there any hidden cost for either product?

SurrealDB is freemium and open source with no disclosed commercial tier; ArangoDB’s enterprise pricing is not published and requires sales contact.

Which database supports real‑time change notifications?

SurrealDB provides built‑in WebSocket subscriptions for live updates; ArangoDB does not list real‑time notification features.

Do both databases support graph data models?

Yes, both support graph data, but ArangoDB also adds vector search, full‑text search and AI‑native graph tools.