Amazon Neptune vs Oracle NoSQL Database Cloud comparison

Amazon Web Services (AWS) and Oracle are both solutions in the Managed NoSQL Databases category. Amazon Web Services (AWS) is ranked #7 with an average rating of 8.5, while Oracle is ranked #13. Amazon Web Services (AWS) holds a 7.9% mindshare in MND, compared to Oracle’s 1.6% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution.

Amazon Neptune

Read 4 Amazon Neptune reviews

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811 Comparison Views

100% willing to recommend

Oracle NoSQL Database Cloud

191 Views
191 Comparison Views

Amazon Neptune

Oracle NoSQL Database Cloud

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Executive Summary

We performed a comparison between Amazon Neptune and Oracle NoSQL Database Cloud based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), MongoDB and others in Managed NoSQL Databases.

To learn more, read our detailed Managed NoSQL Databases Report (Updated: August 2025).

Buyer's Guide

Managed NoSQL Databases

August 2025

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Helped 868,183 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Neptune

Ranking in Managed NoSQL Databases

7th

Average Rating

8.6

Reviews Sentiment

4.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle NoSQL Database Cloud

Ranking in Managed NoSQL Databases

13th

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2025, in the Managed NoSQL Databases category, the mindshare of Amazon Neptune is 7.9%, down from 14.7% compared to the previous year. The mindshare of Oracle NoSQL Database Cloud is 1.6%, down from 3.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases Market Share Distribution
Product	Market Share (%)
Amazon Neptune	7.9%
Oracle NoSQL Database Cloud	1.6%
Other	90.5%

Managed NoSQL Databases

Featured Reviews

Reviewer3028812

Back End Developer at Zeta

Multiple graph models and languages support lead to efficient use, yet community growth brings challenges

The onboarding part and documentation where we could ideally use Amazon Neptune is excellent. Amazon Neptune as a product by AWS is exceptional because it supports multiple graph models such as RDF and property graph. It also has support for multiple querying languages such as Gremlin, SparkQL, and OpenCypher. It is very comprehensive in supporting every requirement we had at Zetta. Amazon Neptune's best features include its multiple servers, each supporting different languages such as OpenCypher, SparkQL, and RDF. For the same RDF graph or property graph, we could use multiple languages to query on different servers. This is exceptional because we have one graph DB with two endpoints exposed where we could interact with different languages on the same graph. Additionally, Amazon has a Sagemaker Jupyter Notebook which interacts with the Amazon Neptune database itself, providing a clean UI for representing nodes since the Jupyter Notebook has predefined graph representation capabilities through queries.

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

16%

Construction Company

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Amazon Neptune?

The cost aspects were managed by our SRE team who provisioned the instances. The pricing structure is similar to how EC2 instance pricing varies. I was informed that it was somewhat expensive, thou...

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What needs improvement with Amazon Neptune?

The main issue was the limited community of Amazon Neptune users, which meant everything needed to be explored independently. Although this was adventurous, it required more time investment in the ...

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What is your primary use case for Amazon Neptune?

We managed traffic at Zetta, and traffic would be moving between multiple services in our microservice architecture. Because of this setup, we were using Amazon Neptune to understand how many reque...

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Comparisons

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Compared 30% of the time

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Compared 29% of the time

Amazon DynamoDB vs Amazon Neptune

Compared 19% of the time

Amazon DocumentDB vs Amazon Neptune

Compared 11% of the time

Amazon Timestream vs Amazon Neptune

Compared 10% of the time

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Microsoft Azure Cosmos DB vs Oracle NoSQL Database Cloud

Compared 58% of the time

Amazon DynamoDB vs Oracle NoSQL Database Cloud

Compared 42% of the time

More Oracle NoSQL Database Cloud Competitors

Product Reports

Buyer's Guide

Amazon Neptune

September 2025

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Buyer's Guide

Managed NoSQL Databases

August 2025

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Overview

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 HTTPS encrypted client connections and 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 Web Services (AWS)

A scale-out, low latency key-value database service including support for JSON and Table data types. Built-in high availability, transactions, parallel query, and more.

Oracle

Sample Customers

Intuit, Pearson, Samsung, Ignition One, Lifeomic, Blackfynn, Paysense

Airbus

Buyer's Guide

Managed NoSQL Databases

August 2025

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