ArangoDB vs Gel
Side-by-side comparison of features, pricing, ratings, and alternatives.
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.
Gel, formerly known as EdgeDB, is an open-source data platform built on top of Postgres that replaces traditional tables with schema-defined types connected through graph-style links, letting developers traverse relationships without writing JOINs. It uses EdgeQL, a query language that combines SQL and GraphQL-style concepts with strict typing, and provides code generation and client libraries for full type safety across the stack. Beyond querying, Gel includes built-in authentication covering OAuth, passkeys, magic links, and email/password, plus integrated AI support with automatic embeddings and RAG endpoints. It can run locally with zero-config setup, be exported to plain Postgres, or run on the managed Gel Cloud service, which is AWS-powered and integrates with GitHub and Vercel; the project has around 14,000 GitHub stars and recently joined Vercel while remaining fully open source.
- 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
- Fully open source with an active community (around 14,000 GitHub stars)
- Built-in authentication removes the need for a separate auth service
- Strict typing and code generation reduce runtime data errors
- Free tier available on Gel Cloud for smaller workloads
- 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
- EdgeQL is a new query language, requiring a learning curve versus plain SQL
- Recent rebrand from EdgeDB to Gel may cause confusion when searching for resources
- Smaller ecosystem and community than mainstream Postgres or MySQL
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A multi-model database unifying graph, document, key-value, vector, and search for AI-driven applications.
An open-source, PostgreSQL-compatible distributed SQL database for cloud-native apps.
The Verdict
AI-generated from listing dataGel offers a typed, graph‑relational DB with built‑in auth and AI on a familiar Postgres base, while ArangoDB provides a broader multi‑model platform with richer AI‑native features but more complexity and less transparent pricing.
Key differences
- •Gel uses EdgeQL, a strictly typed query language; ArangoDB uses AQL and natural‑language conversion tools.
- •Gel focuses on graph‑relational data with built‑in auth; ArangoDB combines graph, document, key‑value, vector and search models.
- •Gel’s ecosystem is centered on Postgres export and developer‑centric integrations; ArangoDB offers extensive AI‑native features like GraphRAG, vector embeddings, and GPU acceleration.
- •Gel provides community Discord and email/priority support tiers; ArangoDB’s enterprise support requires sales contact and is not price‑published.
- •Gel can run locally zero‑config or on Gel Cloud; ArangoDB is self‑hosted with a separate commercial cloud offering not detailed in the facts.
Pricing & value
Both are freemium, but Gel explicitly offers a free cloud tier for small workloads; ArangoDB’s commercial pricing is undisclosed.
Ease of use / learning curve
ArangoDB provides AQLizer for natural‑language queries, reducing learning effort versus Gel’s new EdgeQL language.
Features & depth
ArangoDB supports graph, document, key‑value, vector, full‑text search, and AI‑native RAG; Gel focuses on graph‑relational with auth and embeddings.
Integrations & ecosystem
ArangoDB lists integrations for vector embeddings, GPU acceleration, and AI pipelines; Gel’s integrations are limited to GitHub, Vercel, Postgres export.
Collaboration
Gel offers community Discord and tiered email/priority support; ArangoDB only mentions community edition support and enterprise SLA.
Scalability
ArangoDB includes high availability and disaster recovery enterprise features; Gel’s scalability details are not specified.
Support
Gel provides clear support tiers (Discord, email, priority, enterprise); ArangoDB’s support requires sales contact and is less defined.
Security & privacy
Gel includes built‑in authentication (OAuth, passkeys, magic links, email); ArangoDB’s security features are not detailed.
Migration / lock‑in
Gel can export to plain Postgres, easing migration; ArangoDB’s migration path is not specified.
Choose ArangoDB if…
Teams building AI‑centric apps that require multiple data models, vector search, and enterprise‑grade HA features.
Choose Gel if…
Developers needing a typed, Postgres‑compatible graph DB with built‑in auth and simple cloud/free tier.
Common questions
Which product has a clearer free‑tier offering?
Gel provides a free tier on Gel Cloud for smaller workloads; ArangoDB’s commercial pricing is not published.
Do either of them support vector search out of the box?
ArangoDB includes native vector embeddings and GPU acceleration; Gel’s AI features focus on embeddings and RAG but not explicit vector search.
How easy is it to migrate data to another system?
Gel can export data to plain Postgres, facilitating migration; ArangoDB’s migration options are not specified.