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About

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Proactively detect and investigate IT infrastructure using a layered security approach. Visualize all infrastructure to plan, predict and mitigate risk. Build graph queries for near-real-time identity fraud pattern detection in financial and purchase transactions.

About

MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era. No database is more productive to use. Ship and iterate 3–5x faster with our flexible document data model and a unified query interface for any use case. Whether it’s your first customer or 20 million users around the world, meet your performance SLAs in any environment. Easily ensure high availability, protect data integrity, and meet the security and compliance standards for your mission-critical workloads. An integrated suite of cloud database services that allow you to address a wide variety of use cases, from transactional to analytical, from search to data visualizations. Launch secure mobile apps with native, edge-to-cloud sync and automatic conflict resolution. Run MongoDB anywhere, from your laptop to your data center.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Any business or organization seeking a solution to build and run graph applications with highly connected datasets

Audience

Application developers seeking a solution to create, build, deploy and run their cloud native apps

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Custom Pricing based on database storage, location, etc
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 4.8 / 5
ease 4.7 / 5
features 4.7 / 5
design 4.7 / 5
support 4.9 / 5

Pros & Cons from Real Users

Pros

  • 1. The best feature of MongoDB is ease of use and easy to learn syntax. 2. It is scalable and perfect database for small and large application as well. 3. It can be easily connected with various tools through APIs. Not only that, but it provides of the best support among all databases because of the large community. 4. It has good support for many programming languages and framework integration.
  • - MongoDB has reading and writing speed faster than any typical SQL Database. - The user interface is clean and simple to use, also, the installing and set up of the application is pretty straightforward. - It is a highly scalable database, perfect for big projects and applications. - It supports easy and quick integration with many third-party applications. - The syntax used in the application is easy to learn and does not take up a lot of time in the process.
  • - MongoDB is a document based database which is compatible with both large and small scale application. - Operations like CRUD operation are fast and reliable, easy to use. - The learning curve for the application is quite low, any beginner can get used to the application in few days. - The community size of the application is quite large, which helps a lot when stuck with a problem with the application.
  • - MongoDB reads and writes data in real-time quite fast. - Connection can be made with any tool through the use of APIs. - It supports all the major programming languages and frameworks. - It is flexible to use and can be scalable. - The UI of the application is simple and intuitive.
  • The best part of using MongoDB as a database for any application is the reliability and ease of use. The application's user interface is crafted for simplicity and functionality. It has NoSQL architecture, which makes it preferable to migrate any project to this platform. Along with ease of usage, it is also a good platform for scalable applications.

Cons

  • 1. Usually, it takes up a lot more disk space than any other alternatives. 2. There are some security concerns which should be resolved for more trust building of the users.
  • - Using more than few relational data leads to the application becoming trick and complex to handle.
  • - It is a NoSQL, easy to use database, no cons in my usage.
  • - It is not a suitable database when it comes to writing complex queries. - Memory consumption is quite high.
  • There is some complexity initially in the set-up, but the community is quite helpful in resolving those issues.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/neptune/

Company Information

MongoDB
Founded: 2007
United States
www.mongodb.com

Alternatives

Alternatives

RaimaDB

RaimaDB

Raima
Apache TinkerPop

Apache TinkerPop

Apache Software Foundation
Azure Cosmos DB

Azure Cosmos DB

Microsoft

Categories

Categories

NoSQL Database Features

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

NoSQL Database Features

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

Big Data Features

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Management Features

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Database Features

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Integrations

AWS Marketplace
New Relic
Tom Sawyer Perspectives
Cartesi
Chata.ai
Clockspring
Codified
Create Next Startup
DOT Anonymizer
DbVisualizer
DocumentDB for VS Code
Elastic Observability
Estuary Flow
Gravity Data
Ketch
Modern MERN
Scispot
Sirius
Supastarter
Superblocks

Integrations

AWS Marketplace
New Relic
Tom Sawyer Perspectives
Cartesi
Chata.ai
Clockspring
Codified
Create Next Startup
DOT Anonymizer
DbVisualizer
DocumentDB for VS Code
Elastic Observability
Estuary Flow
Gravity Data
Ketch
Modern MERN
Scispot
Sirius
Supastarter
Superblocks
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Claim Amazon Neptune and update features and information
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Claim MongoDB and update features and information