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ArangoDB Reviews & Insights

Score8 out of 10

1 Reviews and Ratings

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Community insights

TrustRadius Insights for ArangoDB are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Recommendations

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.

ArangoDB Reviews

1 Review

ArangoDB is good Database option for Developers and Datascients

Rating: 8 out of 10
Incentivized

Use Cases and Deployment Scope

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.

Pros

  • 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

Cons

  • 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

Likelihood to Recommend

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.


Ps
Pavan sreevatsav Akula
Cyber Security Analyst in Information Technology at Wipro Limited (10,001+ employees)
Vetted Review
ArangoDB
1 year of experience
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