ArangoDB

About ArangoDB

ArangoDB is a multi-model database management solution for business houses scattered across different industries. Users can model their business-relevant information in a flexible way and solve enterprise-scale problems from time to time. LDAP integration and 360-degree encryption management facilities offered by the software, let users get access to a highly secured workspace. Moreover, SmartJoins and SmartGraphs feature within the software facilitates lighting fast query execution for relational and graph-based use cases. ArangoDB Query Language (AQL) helps users with business-relevant data modification and editing tasks. Data saved within the software gets stored on RocksDB and MMFiles in JSON or VelocyPack format. Admins can configure role-based access controls within the software, eliminating unauthorized access. Business relevant information stored within the same is encrypted in TLS and SSL format. The native multi-model capabilities featured by ArangoDB turn it into an appropriate choice for enterprise-level workloads, based on machine learning.

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Pricing

Free Trial Not Available
Offers Custom plan.
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Platforms Supported

Browser Based (Cloud)

Organization Types Supported

All (Small, Medium, Large)

API Support

NA

Modes of Support

Online

ArangoDB Features

Show Feature Explanation

Project Management

Helps in managing the projects necessary for streamlining and enhancing the customer relationship management tasks.

Third-party Integration

Offers synchronization with third-party applications

Secure Data Storage

Ensures security and integrity of stored data

Full Text Search

Allows and helps in searching for a single or a collection of computer-stored documents in a full-text database.

Role Management

Helps regulate access to systems based on individual roles

Document Management

Ability to store and manage your electronic documents

ArangoDB Pricing

Free Trial

Not available

Pricing Options

Premium Plans ( Quotation Based )

Pricing Plans

ArangoDB Custom

Feautres

Graph Database
Document Store
Search Engine
Multi-Model Database
Performance

Disclaimer: The pricing details were last updated on 06/01/2021 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.

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ArangoDB Reviews

User Rating

4.7/5 (Based on 111 Ratings)

Rating Distribution

Excellent
74.8%
Very Good
23.4%
Average
1.8%
Poor
0%
Terrible
0%

User Sentiments

AQL Query Language, Multi-Model Approach, Performance and Scalability, Foxx Microservices

ArangoSearch Limitations, Documentation Issues, Graph Visualizer Limitations, Complex Cluster Setup

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Review Summary

ArangoDB is praised for its powerful multi-model capabilities, allowing users to store and query structured, unstructured, and graph data within a single system. Users highlight its AQL query language as robust, efficient, and easy to learn, making complex queries more accessible. However, some users found limitations in data pivoting, facet calculation performance, and full-text search functionality. While the community version offers a permissive Apache license, some advanced features like encryption at rest are only available in the enterprise edition. Several users mention needing more granular access control on a document or attribute level. Overall, ArangoDB is considered a feature-rich database that empowers users to gain insights from complex data structures, but some aspects of its functionality and accessibility require improvement.

Pros

ArangoDB efficiently stores structured and unstructured data, simplifying insights extraction.
Powerful AQL query language with drivers for languages like TypeScript and Python.
Offers a wide range of deployment options: standalone, containerized, or managed service.

Cons

Data pivoting is limited, and facet calculation performance can be poor.
Fulltext search functionality is basic, lacking vector store and similarity search for embeddings.
Finegrained access control is lacking, restricting document or attribute level permissions.

ArangoDB Reviews

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