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Amazon Neptune Reviews & Product Details

Amazon Neptune Overview

What is Amazon Neptune?

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. Amazon Neptune is highly available, with read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across Availability Zones. Neptune is secure with support for encryption at rest. Neptune is fully-managed, so you no longer need to worry about database management tasks such as hardware provisioning, software patching, setup, configuration, or backups.

Amazon Neptune Details
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Product Description

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.


Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,230,610 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
Total Revenue (USD mm)
$177,866
Description

By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform.


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Recent Amazon Neptune Reviews

Dhruv S.
DS
Dhruv S.Small-Business (50 or fewer emp.)
5.0 out of 5
"Best real time graph analysis software out there"
We used the identity graphs for social solutions and it greatly helped for ad targeting and real-time tracking of environmental driven behavior in ...
Verified User
U
Verified UserEnterprise (> 1000 emp.)
4.5 out of 5
"Amazon Neptune by AWS for Graph database management"
Likes and Upsides of using amazon neptune for me is to work on clients projects where development on RDF graph models and graph required. Aws datab...
Alpesha B.
AB
Alpesha B.Enterprise (> 1000 emp.)
5.0 out of 5
"Review for Databases software by AWS"
Best thing to talk about this AWS database tool is that's its hight performance speed and high scalability, stability and security capabilities. F...
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Amazon Neptune Media

Amazon Neptune Demo - Amazon Neptune console
Launching a Neptune cluster is as easy as navigating to the AWS Management Console and clicking create cluster. Of course you can also launch with CloudFormation, the CLI, or the SDKs.
Amazon Neptune Demo - Amazon Neptune CloudWatch metrics
You can monitor your cluster health and the health of individual instances through Amazon CloudWatch and the console.
Answer a few questions to help the Amazon Neptune community
Have you used Amazon Neptune before?
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45 Amazon Neptune Reviews

4.5 out of 5
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45 Amazon Neptune Reviews
4.5 out of 5
45 Amazon Neptune Reviews
4.5 out of 5

Amazon Neptune Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cons

Overall Review Sentiment for Amazon NeptuneQuestion

Time to Implement
<1 day
>12 months
Return on Investment
<6 months
48+ months
Ease of Setup
0 (Difficult)
10 (Easy)
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G2 reviews are authentic and verified.
Meghna A.
MA
Manager
Enterprise(> 1000 emp.)
More Options
Validated Reviewer
Review source: Organic
What do you like best about AWS Cloud?

Best cloud service provider as it is 100% on-time and less latency Review collected by and hosted on G2.com.

What do you dislike about AWS Cloud?

UI is a part which can be improved, if UI is good then it is great! Review collected by and hosted on G2.com.

What problems is AWS Cloud solving and how is that benefiting you?

Webapp deployment Review collected by and hosted on G2.com.

CA
Enterprise(> 1000 emp.)
More Options
Validated Reviewer
Review source: Organic
What do you like best about AWS Cloud?

We can instantly deploy our applications on the AWS Review collected by and hosted on G2.com.

What do you dislike about AWS Cloud?

pricing of the AWS Cloud in some of the serices like Lambda, etc. Review collected by and hosted on G2.com.

What problems is AWS Cloud solving and how is that benefiting you?

To build and deployee an application Review collected by and hosted on G2.com.

Bhanu Prakash B.
BB
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about AWS Cloud?

Aws is easy to use , user friendly interface , we can implement with many 3rd parties, it has good customer support, it has many number of features and i use aws everyday. Review collected by and hosted on G2.com.

What do you dislike about AWS Cloud?

I dont have any specific dislikes about AWS Review collected by and hosted on G2.com.

What problems is AWS Cloud solving and how is that benefiting you?

By using aws we can save our pockets ... it has good pricing methods, and it has good customer support. Review collected by and hosted on G2.com.

Verified User in Computer Software
UC
Enterprise(> 1000 emp.)
More Options
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
(Original )Information
What do you like best about Amazon Neptune?

Likes and Upsides of using amazon neptune for me is to work on clients projects where development on RDF graph models and graph required. Aws database engines. Compatability and integration is the best thing for Aws Amazon Neptune for W3Cs RDF spark sql. Review collected by and hosted on G2.com.

What do you dislike about Amazon Neptune?

There is nothing as such dislikes or downside for me as of now to tell. But learning curve os there for new users. That's fine! Review collected by and hosted on G2.com.

What problems is Amazon Neptune solving and how is that benefiting you?

Solving problems like databases graph rdf, graph models. Etc. Review collected by and hosted on G2.com.

Zeeshan D.
ZD
Data Scientist
Mid-Market(51-1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about AWS Databases?

Scalability: AWS databases offer scalable solutions, allowing you to easily adjust the storage capacity or compute resources based on your application's needs. This flexibility enables you to handle sudden increases in traffic or accommodate future growth without disrupting your operations.

Reliability: AWS databases are designed to be highly available and reliable. They provide built-in mechanisms for data replication, automatic backups, and failover, ensuring that your data is protected and accessible even in the event of hardware or software failures.

Security: AWS prioritizes security and offers various features to help you protect your data. AWS databases provide encryption at rest and in transit, giving you peace of mind knowing that your data is safeguarded. Additionally, AWS offers Identity and Access Management (IAM) controls, enabling you to manage user permissions and access to your databases.

Managed Services: AWS provides managed database services like Amazon RDS (Relational Database Service), Amazon DynamoDB, Amazon Neptune, etc. These services handle routine database administration tasks such as hardware provisioning, software patching, backups, and monitoring, allowing you to focus on your application development rather than database maintenance.

Wide Range of Database Options: AWS offers various database options to cater to different use cases and workloads. Whether you need a relational database like MySQL or PostgreSQL, a NoSQL database like DynamoDB, or a graph database like Neptune, AWS provides a comprehensive suite of database services to choose from.

Integration with Other AWS Services: AWS databases seamlessly integrate with other AWS services, such as compute instances, serverless functions, analytics tools, and machine learning services. This integration enables you to build robust and scalable applications by leveraging the broader AWS ecosystem.

Global Infrastructure: AWS has a vast global infrastructure, allowing you to deploy your databases in multiple regions for better performance and reduced latency. This global presence also facilitates disaster recovery and ensures data availability in different geographical locations. Review collected by and hosted on G2.com.

What do you dislike about AWS Databases?

Complexity: AWS databases can have a steep learning curve, especially for users who are new to cloud computing or database management. The variety of database options and configuration settings available can sometimes be overwhelming, requiring users to invest time and effort in understanding and mastering the platform.

Cost: While AWS databases offer flexible pricing models, the costs can add up depending on the size of your database, the level of resources needed, and the data transfer requirements. It's essential to carefully plan and optimize your database usage to ensure cost-effectiveness.

Performance Tuning: Achieving optimal performance in AWS databases may require fine-tuning and optimization of various parameters, such as instance types, storage configurations, indexing strategies, and query optimization. Understanding and implementing these optimizations can be challenging and time-consuming, particularly for complex or high-demand applications.

Vendor Lock-In: When using AWS databases, you become dependent on AWS infrastructure and services. Migrating to another cloud provider or managing your databases on-premises can be complex and may require significant effort, potentially leading to vendor lock-in. It's advisable to consider this factor when choosing AWS databases for your applications.

Maintenance Responsibility: While AWS manages certain aspects of database administration, there are still maintenance tasks that you're responsible for, such as application-level tuning, schema design, and database backups. It's important to allocate resources and time for these activities to ensure the optimal functioning of your databases.

Limited Control: As a managed service, AWS databases may limit certain aspects of database customization or control that you would have in a self-managed environment. While this can simplify operations, it may not suit all use cases that require highly specialized configurations or customizations. Review collected by and hosted on G2.com.

What problems is AWS Databases solving and how is that benefiting you?

Data Storage and Management: AWS databases provide reliable and scalable storage solutions for managing large volumes of data. They eliminate the need for data scientists to invest in and maintain their own infrastructure, allowing them to focus on data analysis and insights rather than worrying about storage capacity or hardware maintenance.

Easy Data Access: AWS databases offer fast and efficient data retrieval, enabling data scientists to access the necessary data quickly. Whether it's a relational database, NoSQL database, or a specialized database for specific use cases like graph or time-series data, AWS provides a wide range of database options that cater to different data access requirements.

Performance and Scalability: AWS databases are designed to handle high-performance workloads and scale seamlessly as data volumes and user demands increase. This scalability is particularly beneficial for data scientists who work with large datasets, as they can easily scale up or down their database resources based on their analytical needs, ensuring consistent and efficient performance.

Data Security and Compliance: AWS prioritizes data security and compliance, providing a robust framework to protect sensitive data. AWS databases offer encryption at rest and in transit, access control mechanisms, and compliance certifications that help data scientists meet their security and regulatory requirements. This ensures the confidentiality, integrity, and availability of data, which is crucial for data scientists working with sensitive or regulated data.

Integration with Analytical Tools: AWS databases seamlessly integrate with various analytical and data processing tools, such as Amazon Redshift for data warehousing, Amazon EMR for big data processing, and AWS Glue for data integration. This integration streamlines the data pipeline and facilitates data scientists in performing complex analytics, running machine learning algorithms, and generating insights from their data efficiently.

Collaboration and Shared Access: AWS databases support collaboration and shared access, allowing multiple data scientists to work on the same datasets concurrently. This enables teams to collaborate, share insights, and leverage each other's work, fostering productivity and enhancing the overall effectiveness of data science projects.

By addressing these problems, AWS databases provide data scientists with a robust and scalable infrastructure, efficient data access, enhanced data security, and seamless integration with analytical tools. These benefits allow data scientists to focus on extracting insights, running complex analyses, and developing advanced models, ultimately accelerating their research and enabling data-driven decision-making. Review collected by and hosted on G2.com.

Alpesha B.
AB
Software Engineer
Enterprise(> 1000 emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Amazon Neptune?

Best thing to talk about this AWS database tool is that's its hight performance speed and high scalability, stability and security capabilities.

Features we used like database monitoring Data graph modeling. It's integrations capabilities. Review collected by and hosted on G2.com.

What do you dislike about Amazon Neptune?

No nothing to dislikes. Good technical documentation and support from AWS support team. Appreciate it! Review collected by and hosted on G2.com.

What problems is Amazon Neptune solving and how is that benefiting you?

Creating database cluster. Review collected by and hosted on G2.com.

Rishi R.
RR
Associate Consultant
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
(Original )Information
What do you like best about AWS Cloud?

The UI (User Interface) of AWS Console is very productive, and you can easily find resources for your usecases on Internet Review collected by and hosted on G2.com.

What do you dislike about AWS Cloud?

AWS Console UI changes so frequently that if you left working for 30 days, you will see a new UI for the services that you have worked on past Review collected by and hosted on G2.com.

What problems is AWS Cloud solving and how is that benefiting you?

AWS is providing a platform which gives you a leverage of unlimited Storage & Compute Power, you don't have to buy costly servers for your uscase like On-Premise Review collected by and hosted on G2.com.

Siddharth S.
SS
Cloud Engineer Trainee
Enterprise(> 1000 emp.)
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Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Amazon Neptune?

I like that Amazon Neptune is a fully managed service, as it frees developers and data scientists from the operational complexities of database administration and maintenance Review collected by and hosted on G2.com.

What do you dislike about Amazon Neptune?

When considering Amazon Neptune, it is crucial to carefully evaluate the cost implications as the service's expenses can vary based on data size and usage patterns, emphasising the importance of optimising data models and query patterns to achieve cost-effectiveness. Review collected by and hosted on G2.com.

What problems is Amazon Neptune solving and how is that benefiting you?

Amazon Neptune empowers to extract valuable insights from complex interconnected data through powerful analytics capabilities, including advanced graph traversals, pattern matching, and deep analytics. This facilitates data-driven decision-making and drives strategic outcomes Review collected by and hosted on G2.com.

Rachit M.
RM
Entity Non Officer
Enterprise(> 1000 emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Amazon Neptune?

AWS Neptune provides more than 99.99% availability across multiple AZ's and regions. It increases DB performance. It is scalable. As the data grows, it also resizes itself Review collected by and hosted on G2.com.

What do you dislike about Amazon Neptune?

There is no self-hosted deployment option for Neptune. it provides limited local development option which make it difficult to replicate it locally during development Review collected by and hosted on G2.com.

What problems is Amazon Neptune solving and how is that benefiting you?

AWS Neptune supports graph-based applications that require high throughput and low latency graph queries. It has the support of up to 15 read replicas which makes it avaialble to support upto 1 lakhs queries per second Review collected by and hosted on G2.com.

VS
Business analyst
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Amazon Neptune?

The UI and the features of Amazon Neptune are so very useful for small and medium sized businesses and organisations. There are a lot of features available in this and one of the feature is collecting and storing all the data related to your company and companies work. Which can be used for analysis and generating of graphical data structure reports. The data or information which you store in this platform are totally secured end to end. Review collected by and hosted on G2.com.

What do you dislike about Amazon Neptune?

This software does not provide free cloud space to store data. So if you need to collect more data for analysis you will need to bur premium for the same . Review collected by and hosted on G2.com.

What problems is Amazon Neptune solving and how is that benefiting you?

All my marketing and and business team is happy using this system, as we can store more and more data in this software and being able generate reports. We are now easily able to manage all the data and divide by the posts. Review collected by and hosted on G2.com.