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ArangoDB

ArangoDB

Overview

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…

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Pricing

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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.

Entry-level set up fee?

  • No setup fee

Offerings

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

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MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format…

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Product Demos

TENGU DEMO VIDEO | Database integrations | How to integrate data resources

YouTube

Custom Pregel in ArangoDB Feature Preview and Demo

YouTube
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Product Details

What is ArangoDB?

ArangoDB Video

Many powerful Machine Learning algorithms are based on graphs, e.g., Page Rank (Pregel), Recommendation Engines (collaborative filtering), text summarization and other NLP tasks. In this hands-on workshop, ArangoDB Head of Engineering Jörg Schad and Developer Relations Engine...
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ArangoDB Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(2)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Based on user reviews, here are the three most common recommendations for ArangoDB:

  1. Consider ArangoDB for various business requirements. Users find ArangoDB to be a good choice for most business needs and believe it can handle tasks similar to traditional SQL databases but with added simplicity.

  2. Be cautious with queries to avoid high processing costs. While ArangoDB is praised for its ease of use in querying, users advise being careful as even a minor mistake can result in significant processing expenses.

  3. Take advantage of ArangoDB's capabilities in specific scenarios. Reviewers recommend using ArangoDB for startups and applications that can benefit from a document-based or graph database. They highlight its potential in unlocking complex computations and providing more intelligence to data.

Overall, users suggest exploring ArangoDB's features and licensing advantages, as well as considering the complexity and characteristics of the domain before choosing this datastore. Additionally, they encourage learning AQL (ArangoDB Query Language) to fully harness its power. Users also appreciate the support offered by ArangoDB's team, describing them as top-notch and helpful.

Reviews

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Pavan sreevatsav Akula | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.


  • AQL Query Language
  • Multi-Model Powered Machine Learning
  • Cloud – On-Prem – Anywhere
  • It is very powerful tool and should adv more to improve sales
  • Should conduct more free trails and trainings
  • Open source and runs everywhere
It uses AQL query Language, which is different from other Databases.
It has flexibility to integrate in cloud, on-prem anywhere
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