ArangoDB

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What is ArangoDB?

ArangoDB is a distributed free and open-source database with a flexible data model for graphs, documents, and key-values. Its supporters state that developers can build high performance applications on top of ArangoDB using a convenient SQL-like query language or JavaScript extensions.

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  • No setup fee

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  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

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Product Details

What is ArangoDB?

ArangoDB is a distributed free and open-source database with a flexible data model for graphs, documents, and key-values. Its supporters state that developers can build high performance applications on top of ArangoDB using a convenient SQL-like query language or JavaScript extensions.

ArangoDB Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

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Frequently Asked Questions

What is ArangoDB?

ArangoDB is a distributed free and open-source database with a flexible data model for graphs, documents, and key-values. Its supporters state that developers can build high performance applications on top of ArangoDB using a convenient SQL-like query language or JavaScript extensions.

Who uses ArangoDB?

The most common users of ArangoDB are from Enterprises and the Consumer Services industry.

Reviews and Ratings

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Ratings

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Pavan sreevatsav Akula | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
AQL query language is very simple and efficient in use if anyone using SQL can quickly learn AQL Language.

Developers can easily map the database and can access various patterns like search, ranking.

JSON and semantic search is the latest and next-generation technology to implement to access and extract large datasets.
  • AQL query language is big plus for ArangoDB
  • It can be implemented cloud as well as on-prem
  • Search Engine is a very good option for ArangoDB
  • By providing the free services for few months will be help understand for beginners
  • Enhancing features in dashboard and can make UI more user-friendly
  • Should conduct more surveys and adv to improve scalability
Use cases provided by default are good and can be improve better using Machine Learning and AI.

AQL query language is very simple and efficient in use if anyone using SQL can quickly learn AQL Language.

Developers can easily map the database and can access various patterns like search, ranking.

JSON and semantic search is the latest and next-generation technology to implement to access and extract large datasets.