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Amazon Timestream vs MongoDB Enterprise Advanced comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

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 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
MongoDB Enterprise Advanced
Ranking in Managed NoSQL Databases
4th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
82
Ranking in other categories
Open Source Databases (6th), NoSQL Databases (1st)
 

Mindshare comparison

As of February 2026, in the Managed NoSQL Databases category, the mindshare of Amazon Timestream is 5.9%, down from 9.9% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 11.0%, up from 3.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases Market Share Distribution
ProductMarket Share (%)
MongoDB Enterprise Advanced11.0%
Amazon Timestream5.9%
Other83.1%
Managed NoSQL Databases
 

Featured Reviews

Sushil Pandey - PeerSpot reviewer
Data Engineer at Tiger Analytics
It is helpful to get telemetry data from the devices in real-time
It is an easily scalable solution. When it comes to the retention period, if someone wants to change, they have to define it at the start. Later on, if users want to change it again, like, or increase the retention policy, then they have to create the table again and do so, and if it is not done, then we face problems. It will increase the retention, but when you try to insert a record or an older record that is not included in the range of your retention period, then you can face some problems and, like, it will throw some errors. The tool is scalable, but it should be defined at the start as to how much retention you want. For scalability, I rate the tool a six or seven out of ten.
FG
Architecte Cloud at Visiativ SA
Offers reliable engine for legacy needs but requires enhanced cost management and AI features
While MongoDB is a good product, it is also an expensive product for support, and its scalability is acceptable, but the big problem with MongoDB is the cost. For security in MongoDB, we work with encrypted databases by default, but we have not contracted the security options in our contract because it is too expensive, so we only implement encrypted databases without the security pack, which is very expensive for us; in security, we are at the first steps, just using encrypted databases. I think additional features needed in MongoDB include perhaps vector databases, as I think they are not supported right now.

Quotes from Members

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

Pros

"If you drop a message, the solution's technical support will definitely reply."
"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."
"Using Amazon Timestream has been seamless due to its integration within the AWS ecosystem and ease of use for the engineering team."
"You can quickly aggregate data from the last ten years with Amazon Timestream."
"The best things about Amazon Timestream are it's maintenance-free, customizable, and has no lag issues. It's always real-time."
"The solution has good flexibility and very fast performance for searching data."
"I like that MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."
"It is really a pretty easy product to use. It's very reliable, it's proven."
"The Dynamic Application is a valuable feature."
"The integration capabilities of MongoDB are fine for the solutions that we use in our company."
"MongoDB has many good replication features and good performance."
"The installation is very stable."
"One of the most valuable features of MongoDB is it is Its open source."
 

Cons

"There are disadvantages when it comes to time series databases since you can't delete anything from Amazon Timestream data."
"The tool could be improved by increasing the batch size from one hundred records to five hundred or a thousand to speed up indexing."
"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."
"There are certain features that we would like to see added and we are collaborating with the product teams on these areas."
"Arranging the database schema is a bit challenging."
"The dashboard is an area of concern in the solution where improvements are required."
"The solution should have better integration."
"The stability could be better."
"I think it would be good to have more search options such as an index resource. This will provide more options and resources to do advance searches."
"Lacks sufficient scalability and elasticity."
"The stability could be improved."
"MongoDB should be more stable, and support should be more efficient."
"From my point of view, they need a totally free IDE to work at high levels."
 

Pricing and Cost Advice

"We pay over $10 million a year to Amazon."
"For 1GB of data, the solution charges $ 0.01 in the US region."
"Amazon Timestream's pricing seems manageable to me."
"We don't see high costs with Amazon Timestream, which may vary by company."
"The solution is open source so is free."
"There is an enterprise license and it could be cheaper. We are using the free open source version."
"This is an open-source solution."
"I believe that MongoDB is free."
"You only have to pay for the paid version, not the open-source version."
"There are different licenses available to be purchased, such as individual, premium, or enterprise."
"I chose MongoDB because it is cost-effective compared to Oracle, which can be expensive. In addition, MongoDB has good performance and has not caused any issues while working with it. It has been a good choice for me."
"I only used the open-source version."
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Top Industries

By visitors reading reviews
Computer Software Company
12%
Manufacturing Company
11%
Financial Services Firm
7%
Outsourcing Company
7%
Financial Services Firm
14%
Computer Software Company
9%
Manufacturing Company
8%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business35
Midsize Enterprise13
Large Enterprise38
 

Questions from the Community

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...
What do you like most about MongoDB?
MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.
What is your experience regarding pricing and costs for MongoDB?
For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable. I will not be able to elaborate on th...
What needs improvement with MongoDB?
The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ETL flexible scripts with backend database integrations would be an improvement I ...
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Facebook, MetLife, City of Chicago, Expedia, eBay, Google
Find out what your peers are saying about Amazon Timestream vs. MongoDB Enterprise Advanced and other solutions. Updated: December 2025.
881,707 professionals have used our research since 2012.