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Amazon Neptune vs Amazon Timestream comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 3, 2025

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
8th
Average Rating
8.6
Reviews Sentiment
4.5
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Amazon Timestream
Ranking in Managed NoSQL Databases
6th
Average Rating
9.0
Reviews Sentiment
6.9
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2026, in the Managed NoSQL Databases category, the mindshare of Amazon Neptune is 7.2%, down from 15.4% compared to the previous year. The mindshare of Amazon Timestream is 6.2%, down from 10.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases Market Share Distribution
ProductMarket Share (%)
Amazon Timestream6.2%
Amazon Neptune7.2%
Other86.6%
Managed NoSQL Databases
 

Featured Reviews

Reviewer3028812 - PeerSpot reviewer
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.
Sekhar Reddy B - PeerSpot reviewer
Principal Software Engineer at Securonix
Useful for real-time analytics and monitoring application's health
We use the tool with AI for customer data analysis as part of our internal product. It's a medium effort for beginners to learn; it's not too easy but not too hard. Overall, I'd rate Amazon Timestream eight point five to nine out of ten based on my experience. Integrating it wasn't difficult, and we didn't face any challenges. My advice for new users is to choose the right dimension names for better query performance and structure their data correctly before indexing.

Quotes from Members

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

Pros

"Amazon Neptune as a product by AWS is exceptional because it supports multiple graph models such as RDF and property graph, and it also has support for multiple querying languages such as Gremlin, SparkQL, and OpenCypher, making it very comprehensive in supporting every requirement we had at Zetta."
"Amazon Neptune as a product by AWS is exceptional because it supports multiple graph models such as RDF and property graph, and it also has support for multiple querying languages such as Gremlin, SparkQL, and OpenCypher, making it very comprehensive in supporting every requirement we had at Zetta."
"The initial setup is actually simple."
"Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is."
"If you drop a message, the solution's technical support will definitely reply."
"The best things about Amazon Timestream are it's maintenance-free, customizable, and has no lag issues. It's always real-time."
"Using Amazon Timestream has been seamless due to its integration within the AWS ecosystem and ease of use for the engineering team."
"What I like best is that the tool is easy to collect and store data and is fast and scalable. The fully managed database is easy to understand."
"You can quickly aggregate data from the last ten years with Amazon Timestream."
 

Cons

"We had a strict time constraint, and it took many sleepless nights to find information in the documentation."
"Amazon Neptune could improve by spreading more awareness for others to have an understanding of the solution because the technology is fairly new. The developer community and larger community do not understand it yet."
"In my scenario, the integration wasn't easy because ................in Java."
"We had a strict time constraint, and it took many sleepless nights to find information in the documentation."
"There are certain features that we would like to see added and we are collaborating with the product teams on these areas."
"The solution could be improved by making it easier for new graduates like me to use. Better explanations of queries and how to use them with other AWS services would help."
"The tool could be improved by increasing the batch size from one hundred records to five hundred or a thousand to speed up indexing."
"Arranging the database schema is a bit challenging."
"There are disadvantages when it comes to time series databases since you can't delete anything from Amazon Timestream data."
 

Pricing and Cost Advice

"Microsoft Azure and Amazon AWS are on par for pricing and Google has been raising its prices."
"Amazon Timestream's pricing seems manageable to me."
"We pay over $10 million a year to Amazon."
"For 1GB of data, the solution charges $ 0.01 in the US region."
"We don't see high costs with Amazon Timestream, which may vary by company."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
14%
University
12%
Insurance Company
7%
Computer Software Company
13%
Manufacturing Company
11%
Insurance Company
7%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
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...
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 ...
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...
What needs improvement with Amazon Timestream?
We are working on a few open change requests with the engineering teams on AWS's side. There are certain features that we would like to see added and we are collaborating with the product teams on ...
What is your primary use case for Amazon Timestream?
We use Amazon Timestream as a data historian for IT data. It stores all individual measurements of our customers' IoT devices for a certain period of time, allowing them to perform time-series-base...
 

Overview

 

Sample Customers

Intuit, Pearson, Samsung, Ignition One, Lifeomic, Blackfynn, Paysense
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Find out what your peers are saying about Amazon Neptune vs. Amazon Timestream and other solutions. Updated: December 2025.
879,927 professionals have used our research since 2012.