Amazon Neptune vs Rackspace ObjectRocket comparison

Amazon Web Services (AWS) and Rackspace Technology are both solutions in the Managed NoSQL Databases category. Amazon Web Services (AWS) is ranked #7 with an average rating of 8.5, while Rackspace Technology is ranked #14. Amazon Web Services (AWS) holds a 7.9% mindshare in MND, compared to Rackspace Technology’s 0.4% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution.

Amazon Neptune

Read 4 Amazon Neptune reviews

811 Views
811 Comparison Views

100% willing to recommend

Rackspace ObjectRocket

67 Views
67 Comparison Views

Amazon Neptune

Rackspace ObjectRocket

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Amazon Neptune and Rackspace ObjectRocket 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 867,341 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

Rackspace ObjectRocket

Ranking in Managed NoSQL Databases

14th

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 Rackspace ObjectRocket is 0.4%, up from 0.3% 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%
Rackspace ObjectRocket	0.4%
Other	91.7%

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

19%

Computer Software Company

17%

University

Construction Company

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?

When taken as part of the whole AWS contract, it was cheaper, but as a single service, Neptune was more expensive compared to Neo4j.

See all answers

What needs improvement with Amazon Neptune?

Some improvements could be made by introducing a UI that would clearly show the vertices and connections, which would make it easier to visualize and debug. Additionally, the need for downtime duri...

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What is your primary use case for Amazon Neptune?

So, I'm not using it currently, but when I was working with my last organization, which was a gaming company, we used Amazon Neptune for real-time fraud detection. We maintained user data, mobile d...

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Comparisons

Microsoft Azure Cosmos DB vs Amazon Neptune

Compared 30% of the time

Neo4j AuraDB vs Amazon Neptune

Compared 29% of the time

Amazon DynamoDB vs Amazon Neptune

Compared 19% of the time

Amazon DocumentDB vs Amazon Neptune

Compared 12% of the time

Amazon Timestream vs Amazon Neptune

Compared 10% of the time

More Amazon Neptune Competitors

No data available

Product Reports

Buyer's Guide

Amazon Neptune

September 2025

Download Amazon Neptune product report

Buyer's Guide

Managed NoSQL Databases

August 2025

Download Rackspace ObjectRocket product report

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)

The ObjectRocket platform offers fully managed instances of MongoDB and Redis in data centres across the globe. The platform combines open source technologies with best of breed hardware for ultimate performance. We used the experience we have building the systems that power some of the busiest web sites and applications to create an optimised, scalable, reliable, and easy to use database as a service.

Deploying a database on the ObjectRocket platform eliminates the need to do any type of system administration or maintenance of the database server itself. We proactively monitor all database instances taking action when necessary to ensure your database is operating at peak performance and that availability is never compromised, including DBA services such as data architecture consultation.

Rackspace Technology

Sample Customers

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

MapMyFitness, SponsorHub, SumAll, The Control Group, Untappd

Buyer's Guide

Managed NoSQL Databases

August 2025

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