1. [Home](https://www.g2.com/) 2. ... 3. [Graph Databases](https://www.g2.com/categories/graph-databases) 4. [Arango](https://www.g2.com/products/arango/reviews) 5. [Arango Claims vs Evidence](https://www.g2.com/products/arango/claims-vs-evidence) # Arango Claims vs Evidence G2 compares Arango marketing claims from the sources linked below with real user reviews, then assesses how strongly the review evidence supports each claim. Last updated Oct 5, 2026 ## Claim: “ArangoDB stores graph, document, and vector data together and queries them through one unified query layer.” Supported by reviews. Relevant reviewers consistently describe ArangoDB as combining multiple data models in one engine and supporting them through a unified query language. The reviews directly support the graph/document and unified-query aspects, although they do not specifically mention vector data. - “It lets you work with documents, graphs, and key-value pairs in one engine, without needing separate databases or complex integrations.” [Read Full Review](https://www.g2.com/products/arango/reviews/11718355) - “Unique ane multiple model database where everything is access using just one query.” [Read Full Review](https://www.g2.com/products/arango/reviews/11313820) - “a unified query language that can handle both graph and relational-style queries.” [Read Full Review](https://www.g2.com/products/arango/reviews/10539806) Source: [https://arango.ai/products/arangodb/](https://arango.ai/products/arangodb/) ## Claim: “Arango unifies enterprise data, AI services, and agent runtimes into a single platform for building production-ready AI agents that operate with context, trust, and scale.” Supported by reviews. Relevant reviewers consistently describe unified document, graph, search, and relational-style data capabilities that can reduce the need for multiple systems, with one reviewer specifically mentioning graph RAG. The reviews do not directly address Arango’s AI services, agent runtimes, trust, or production readiness. - “The mixture of document, search and graph has made our decisions easier. We can limit our stack to use Arango and not have an explosion of vendor systems for each purpose.” [Read Full Review](https://www.g2.com/products/arango/reviews/5241217) - “ArangoDB itself provides a database that supports all the basics you'd expect from a graph database system, and a lot of convenient functionality like a unified query language that can handle both graph and relational-style queries.” [Read Full Review](https://www.g2.com/products/arango/reviews/10539806) - “It was very user friendly for a graph database, it was very easy to create vetices for the graph visuallise them in my local container and there after making edge definition and connecting them saved me so much time for initial POC with graph RAG.” [Read Full Review](https://www.g2.com/products/arango/reviews/10544992) Source: [https://arango.ai/products](https://arango.ai/products) ## Claim: “One engine for graph, vector, document, key-value, and search lives natively in one contextual data layer, not bolted together after the fact.” Supported by reviews. Several reviewers describe ArangoDB as combining graph, document, key-value, and search capabilities in one engine, reducing the need for separate systems or complex integrations. The reviews support the unified multi-model direction, though they do not directly establish the vector capability or independently verify that the architecture is natively integrated rather than bolted together. - “It lets you work with documents, graphs, and key-value pairs in one engine, without needing separate databases or complex integrations.” [Read Full Review](https://www.g2.com/products/arango/reviews/11718355) - “Seamlessly handles graph, document, and key-value data in one powerful engine” [Read Full Review](https://www.g2.com/products/arango/reviews/11093349) - “The mixture of document, search and graph has made our decisions easier. We can limit our stack to use Arango and not have an explosion of vendor systems for each purpose.” [Read Full Review](https://www.g2.com/products/arango/reviews/5241217) - “It is equipped with a full-text search engine that is relatively easy to use.” [Read Full Review](https://www.g2.com/products/arango/reviews/10564648) Source: [https://arango.ai/products/arangodb/](https://arango.ai/products/arangodb/) ## Claim: “Online Transaction Processing (OLTP) and analytics run on the same data in the same engine: point lookups, traversals, joins, and Best Matching 25/ Term Frequency–Inverse Document Frequency (BM25/TF-IDF) scoring in a single ArangoDB Query Language (AQL) statement, or natural language query.” Supported by reviews. Relevant reviewers consistently describe ArangoDB as supporting multiple data models in one engine, unified graph and relational-style queries, joins, and full-text search. The reviews support these broad capabilities but do not specifically confirm BM25/TF-IDF scoring or natural-language queries in a single statement. - “It lets you work with documents, graphs, and key-value pairs in one engine” [Read Full Review](https://www.g2.com/products/arango/reviews/11718355) - “a unified query language that can handle both graph and relational-style queries.” [Read Full Review](https://www.g2.com/products/arango/reviews/10539806) - “easier to perform joins and complex operations!” [Read Full Review](https://www.g2.com/products/arango/reviews/10436548) - “It is equipped with a full-text search engine that is relatively easy to use.” [Read Full Review](https://www.g2.com/products/arango/reviews/10564648) Source: [https://arango.ai/products/arangodb/](https://arango.ai/products/arangodb/) ## Claim: “Graph, vector, document, key-value, and search in one system, one query language .” Supported by reviews. Relevant reviewers consistently describe combining graph, document, key-value, and search capabilities in one system with a unified or single query language. The reviews support these multi-model and query-language aspects, though they do not specifically mention vector functionality. - “It lets you work with documents, graphs, and key-value pairs in one engine, without needing separate databases or complex integrations.” [Read Full Review](https://www.g2.com/products/arango/reviews/11718355) - “The mixture of document, search and graph has made our decisions easier. We can limit our stack to use Arango and not have an explosion of vendor systems for each purpose.” [Read Full Review](https://www.g2.com/products/arango/reviews/5241217) - “Unique ane multiple model database where everything is access using just one query.” [Read Full Review](https://www.g2.com/products/arango/reviews/11313820) - “The ability to write JSON-first queries using AQL.” [Read Full Review](https://www.g2.com/products/arango/reviews/10564648) Source: [https://arango.ai/products/contextual-data-platform/](https://arango.ai/products/contextual-data-platform/) ## Claim: “Every data model your applications need, in one engine with one query layer.” Supported by reviews. Relevant reviewers consistently describe Arango as supporting multiple data models—including documents, graphs, key-value, search, and relational-style data—in one engine with a unified query language. - “It lets you work with documents, graphs, and key-value pairs in one engine, without needing separate databases or complex integrations.” [Read Full Review](https://www.g2.com/products/arango/reviews/11718355) - “Unique ane multiple model database where everything is access using just one query.” [Read Full Review](https://www.g2.com/products/arango/reviews/11313820) - “ArangoDB itself provides a database that supports all the basics you'd expect from a graph database system, and a lot of convenient functionality like a unified query language that can handle both graph and relational-style queries.” [Read Full Review](https://www.g2.com/products/arango/reviews/10539806) - “The mixture of document, search and graph has made our decisions easier. We can limit our stack to use Arango and not have an explosion of vendor systems for each purpose.” [Read Full Review](https://www.g2.com/products/arango/reviews/5241217) Source: [https://arango.ai/products/arangodb/](https://arango.ai/products/arangodb/)