Digital Adoption

Help Desk

Web and Video Conferencing

Customer Support

Mobile App Development

Push Notifications

Text Editors

Development

Online Learning

Education

Business Intelligence (BI)

Collaboration

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Recruitment Automation

Resume Parsing

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

AI Agent Builder

App Development

Browser

Cloud Storage

Component Content Management

Data Center Infrastructure Management

Fraud Detection

Hosted Virtual Desktop

Hyper-Converged Infrastructure

Integration Platform as a Service (iPaaS)

Internet of Things (IoT)

Managed Print

Network Performance Monitoring

Process Mining

Security Awareness Training

Software Defined Storage (SDS)

Solid State Drives

Tower Servers

Virtual Desktop Infrastructure (VDI)

Virtual Private Network (VPN)

VoIP Monitoring

Web Application Firewalls

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Business Card Scanning

Content Management

Data Management

Digital Analytics

Digital Experience Platforms (DXP)

Email Management

Email Marketing

Event Registration

Graphics

Heatmap and Session Recording

Marketing Automation

Marketing OS

Online Reputation Management

Real-Time Interaction Management

Search Marketing Intelligence

Social Media Management

Social Media Publishing

Survey & Forms Building

Swag Management

Web Analytics

Marketing

Business Caller ID

Project Management

Professional Services

Customer Relationship Management (CRM)

eCommerce

Sales

Assisted Living

Car Rental

Church Management

Construction Accounting

Jail Management

Vertical-Specific

Find top rated software and services based on in-depth reviews from verified users. 400+ software categories including PaaS, NoSQL, BI, HR, and more.

Neo4j

Neo Technologies

MongoDB

PostgreSQL

PostgreSQL Global Development Group

MySQL

Oracle

Redis Software

Redis

Elasticsearch

Elastic

Couchbase Server

Couchbase

MariaDB Platform

MariaDB

SQLite

Open Source

FirebirdSQL

H2 Database Engine

Apache Pinot

GraphQL

Weaviate

### Graph Database Features
Users generally praise ArangoDB's robust graph database capabilities. The feedback highlights the ease of visualizing and implementing data models, along with the simplicity of querying using AQL. The graph features are commended for providing a unique perspective on data relationships, making it straightforward to establish connections between entities. Users appreciate the versatility of ArangoDB's multi-model approach, allowing for the efficient storage and retrieval of interconnected data. The graph traversal capabilities and the ability to handle multiple relations are noted as significant advantages, enabling users to analyze complex relationships effectively.

### Document Management
Users generally praise ArangoDB for its versatile document management capabilities. The multi-model approach of storing graphs, documents, key-value pairs, and search functionalities within a single solution is highly regarded. The ease of storing any kind of schema in a flexible manner is a key highlight for users. Additionally, the ability to combine multiple functionalities within a single query provides a robust and feature-rich database implementation. The documentation is comprehensive, making it easier for users to navigate and utilize the document management features effectively. ArangoDB's support for document storage with junctions and graph connections, along with cluster support, is particularly appreciated by users.

### Data Modeling and Storage
Users generally praise ArangoDB's versatile data modeling and storage capabilities. The reviews highlight the ease of incorporating various data models through ArangoDB Query Language (AQL) and its support for multi-model databases. Users appreciate the efficiency in storing complex relationships between entities, such as products, parts, suppliers, and customers, in a unified view. ArangoDB's ability to store both resource data and connection data in a single database is lauded for enhancing query efficiency and facilitating accurate relationship tracking. Additionally, users find ArangoDB suitable for a wide range of projects, from cyber security to healthcare, due to its flexibility in schema storage and scalability.

### Query Performance and Optimization
Users consistently praise ArangoDB for its robust query language and exceptional query performance, highlighting its optimization capabilities as a key strength. The sentiment across reviews indicates that ArangoDB's query performance and optimization features are highly regarded for their efficiency and ease of use. Users appreciate the speed and flexibility of the AQL query language, emphasizing its ability to handle complex queries with precision. Additionally, the optimization functions within ArangoDB are lauded for enhancing overall database performance and streamlining query execution. In summary, user feedback suggests that ArangoDB excels in providing reliable and efficient query performance and optimization functionalities.

### Scalability and Clustering
Users unanimously praise ArangoDB's scalability and clustering features for their performance and ease of use. The ability to replicate graphs across database servers within the cluster for optimized local query execution is highlighted as a significant advantage. Reviewers appreciate the efficiency of ArangoDB's AQL for graph traversal, emphasizing its speed and ease of learning. The dynamic scaling capabilities of ArangoDB's cluster modes are also commended, allowing for seamless expansion or contraction based on data volume. Despite some minor drawbacks such as slow analytical queries and the need for code adjustments when transitioning to a cluster node, users overall express satisfaction with ArangoDB's scalability and clustering functionalities.

### Performance and Monitoring
Feedback on ArangoDB's monitoring capabilities varies among users, with some expressing a desire for enhanced features and third-party tools, while others appreciate its management and security functions. Users seem to have mixed opinions regarding the platform's performance and monitoring capabilities, with some highlighting areas for improvement, such as better monitoring and management capabilities, while others acknowledge its strengths in data analysis and access control. The ecosystem's development in comparison to major databases is noted, with a call for more third-party tools for administration, queries, and visualizations to enhance the overall monitoring experience.

### Development and Programming Tools
Reviewers highlight the robustness of ArangoDB's development and programming tools, particularly praising the ease of use and the comprehensive documentation provided. Users appreciate the versatility of the AQL query language and the smooth integration with various programming languages. While some mention the need for improvements in certain areas like graph visualization and analytical queries, overall, the sentiment leans towards the positive side, with users acknowledging the strength of ArangoDB's development and programming tools in enhancing their database operations.

### Community and Support
Users consistently praise ArangoDB's community and support features. The community is described as vibrant and helpful, with users appreciating the quick responses to queries and bug fixes. While some reviewers mention that the community is not as mature or extensive as other databases, the overall sentiment leans towards positive experiences with the support provided by ArangoDB. The availability of resources such as forums and Slack channels contributes to a sense of accessibility and assistance for users navigating the platform.

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 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.

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 BSON), making the integration of data in certain types of applications easier and faster.

Shared

Serverless

Dedicated

ArangoDB

Open-source databases are growing in popularity and present a cost-saving alternative to conventionally licensed databases.

Open-Source Database

Jörg Schad and Heiko Kernbach from ArangoDB introduce you to the upcoming Custom Pregel Feature in ArangoDB 3.8 and how you can change you Pregel algorithms on the fly, without restarting the database or writing any C++ code. Heiko Kernback is demoing a alpha-version of the "Pregelator" which is a Foxx-based WebUI to configure your custom Pregel algorithms in ArangoDB.

For more details see:

Webinar Slides on Slideshare: https://www2.slideshare.net/arangodb/custom-pregel-algorithms-in-arangodb
Pregel in ArangoDB: https://www.arangodb.com/docs/stable/graphs-pregel.html
Try Custom Pregel with the Preview Docker image: https://hub.docker.com/layers/arangodb/enterprise-preview/3.8.0-milestone.3/images/sha256-e38ac6f585288ea25b4ba86925dcc9947651f2d9ba3d5a5d0829f740b04a2342
Pregelator on Github: https://github.com/arangodb-foxx/pregelator

Custom Pregel in ArangoDB   Feature Preview and Demo

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

Likelihood to Recommend

Graph Analytics with ArangoDB

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 Engineer Chris Woodward explore a number of use cases suitable for Graph Analytics — and in particular leverage ArangoDB’s Graph Algorithms Library.

Colab Notebooks will be leveraged throughout this workshop, so access to a recent browser is sufficient to participate.

Google Cloud AI

AWS CloudTrail

Cyber Security Analyst

ArangoDB 2021-06-22 10:09:36

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

User friendly

Query language

Search engine

Good option

Home

Open-Source Database Software

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

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

MongoDB, Google Cloud AI and AWS CloudTrail

ArangoDB

Overview

What is ArangoDB?