Amazon Keyspaces vs Amazon Neptune comparison

Amazon Keyspaces and Amazon Neptune are both solutions in the Managed NoSQL Databases category. Amazon Keyspaces is ranked #12, while Amazon Neptune is ranked #7 with an average rating of 8.3. Amazon Keyspaces holds a 6.2% mindshare in MND, compared to Amazon Neptune’s 7.7% mindshare. Additionally, 100% of Amazon Neptune users are willing to recommend the solution.

Amazon Keyspaces

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Amazon Neptune

Read 4 Amazon Neptune reviews

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794 Comparison Views

100% willing to recommend

Amazon Keyspaces

Amazon Neptune

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Executive Summary

We performed a comparison between Amazon Keyspaces and Amazon Neptune 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: September 2025).

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Managed NoSQL Databases

September 2025

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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 Keyspaces

Ranking in Managed NoSQL Databases

12th

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

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

Mindshare comparison

As of October 2025, in the Managed NoSQL Databases category, the mindshare of Amazon Keyspaces is 6.2%, up from 3.1% compared to the previous year. The mindshare of Amazon Neptune is 7.7%, down from 14.9% 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	7.7%
Amazon Keyspaces	6.2%
Other	86.1%

Managed NoSQL Databases

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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

No data available

Financial Services Firm

20%

Computer Software Company

17%

Construction Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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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 76% of the time

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Compared 15% of the time

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Compared 9% of the time

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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 18% of the time

Amazon DocumentDB vs Amazon Neptune

Compared 13% of the time

Amazon Timestream vs Amazon Neptune

Compared 10% of the time

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Product Reports

Buyer's Guide

Managed NoSQL Databases

September 2025

Download Amazon Keyspaces product report

Buyer's Guide

Amazon Neptune

October 2025

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Also Known As

Amazon Managed Apache Cassandra Service (MCS)

No data available

Overview

Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. With Amazon Keyspaces, you can run your Cassandra workloads on AWS using the same Cassandra application code and developer tools that you use today. You don’t have to provision, patch, or manage servers, and you don’t have to install, maintain, or operate software. Amazon Keyspaces is serverless, so you pay for only the resources you use and the service can automatically scale tables up and down in response to application traffic. You can build applications that serve thousands of requests per second with virtually unlimited throughput and storage. Data is encrypted by default and Amazon Keyspaces enables you to back up your table data continuously using point-in-time recovery. Amazon Keyspaces gives you the performance, elasticity, and enterprise features you need to operate business-critical Cassandra workloads at scale.

Amazon Web Services (AWS)

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)

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

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

Buyer's Guide

Managed NoSQL Databases

September 2025

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