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MongoDB Atlas vs PuppyGraph comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Oct 5, 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

MongoDB Atlas
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
51
Ranking in other categories
Database as a Service (DBaaS) (5th), Managed NoSQL Databases (3rd), Database Management Systems (DBMS) (7th), AI Software Development (13th)
PuppyGraph
Average Rating
8.6
Reviews Sentiment
5.1
Number of Reviews
2
Ranking in other categories
NoSQL Databases (23rd)
 

Mindshare comparison

While both are Databases solutions, they serve different purposes. MongoDB Atlas is designed for Database as a Service (DBaaS) and holds a mindshare of 9.8%, down 13.6% compared to last year.
PuppyGraph, on the other hand, focuses on NoSQL Databases, holds 0.1% mindshare.
Database as a Service (DBaaS) Mindshare Distribution
ProductMindshare (%)
MongoDB Atlas9.8%
Amazon RDS12.6%
Microsoft Azure SQL Database9.0%
Other68.6%
Database as a Service (DBaaS)
NoSQL Databases Mindshare Distribution
ProductMindshare (%)
PuppyGraph0.1%
MongoDB Enterprise Advanced11.3%
Cassandra8.8%
Other79.8%
NoSQL Databases
 

Featured Reviews

Lintz Veloso - PeerSpot reviewer
IT Manager at a government with 11-50 employees
Developers have benefited from flexibility and performance but pricing has needed further attention
I am only familiar with databases and applications. I am from the development team and I am a user of database and cloud but I don't know the infrastructure. As a user, I deal with the Oracle Database. I know the organization has a license with the product. We don't utilize real-time analytics with MongoDB Atlas. I don't use MongoDB Atlas directly, so I don't know how it can be improved. I would place MongoDB Atlas at a medium level. I would rate it at a six or seven. I believe MongoDB Atlas can improve a little. My overall review rating for this product is six out of ten.
Gurmeet K. - PeerSpot reviewer
Senior Product Manager at a computer software company with 11-50 employees
Unified graph querying has driven deep multi-hop reasoning and transformed data governance
There are multiple features of PuppyGraph that I personally love. One of them is zero-ETL graph querying, which helps us connect with our data warehouses easily and link via dynamic JSON graph schemas. This enables us to explore relational tables, nodes, and edges in under seven minutes, which previously took three and a half hours, so it is a great reduction. I also love the massive distributed graph scalability. The distributed vectorized compute engine helps us auto-shard queries across nodes and consistently execute 10-hop traversals across multi-billion edge data sets in under two seconds. Additionally, I appreciate the unified single source of truth. It helps us commit to the underlying tables, and those commits are immediately queryable in the graph layer within zero seconds of ETL replication lag. This ensures that our AI agents never reason over stale data and always access the latest data without any lag or changes left. The governance and security of PuppyGraph are very good, and I would rate it 10 out of 10 in that aspect. PuppyGraph's governance and security features have helped our organization, as it queries lakehouse tables directly where they originate. This delivers an exceptional governance posture for our enterprise applications with the help of inherent source-level governance and ABAC, which has supported the existing row-level security while helping us implement RBAC and column masking policies. It stabilizes operations inside Snowflake in our data warehouses and has achieved 100% policy consistency with zero security drift. The accuracy and reliability of PuppyGraph's output are really great.

Quotes from Members

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

Pros

"The initial setup is very simple and straightforward; it's not overly complex or difficult, and with AWS, implementation is not an issue anymore, so from the user's perspective you just create the database and it's as easy as that."
"MongoDB Atlas is a database that is quite fast, stable, and reliable."
"The stability and performance are great. The high availability feature is great. Moreover, I am happy with the automated backup and restore functionality."
"This solution is very helpful due to its ease of use."
"MongoDB Atlas is our primary database, and we prefer this because of the reliability of MongoDB Atlas."
"I would recommend MongoDB Atlas to potential users."
"The features that I have found most valuable include the very easy integrations. The integrations are fantastic. I have not faced any challenges from the integration standpoint."
"Administering the solution is easy."
"PuppyGraph is the best answer."
"PuppyGraph has positively impacted our organization by driving transformative capital efficiency across our pipeline infrastructure, our storage footprint, and our product delivery."
 

Cons

"Customer support needs improvement knowledge-wise."
"The price of the solution should be reduced."
"I would like a more comprehensive dashboard."
"The speed when combining two documents is concerning."
"The biggest challenge we all have is an application layer level. One node is sitting in the APAC region, another node is sitting in the US and UK region. The seamless replication has to be lightning fast, but we haven't tested the scalability yet."
"The product's data aggregation feature needs to work faster."
"If it could be cheaper, that would make us happy."
"The import and export process needs improvement, i.e., getting in and out. Moving data from other databases into MongoDB, along with indexing, was challenging."
"PuppyGraph is not a long-term solution as it is a virtual graph. Eventually, after we get the model right, we needed to move to Memgraph, another graph database."
 

Pricing and Cost Advice

"The pricing is acceptable for enterprise tier."
"I am using the free version of the solution."
"For me, MongoDB is expensive, but I think it is not so expensive for customers."
"The price of MongoDB Atlas is highly expensive to use and maintain. They are taking advantage of the users with such a high price."
"The solution is fairly priced. I rate the pricing a seven out of ten."
"MongoDB Atlas is more cost-effective than Amazon DocumentDB. It also has a pay-as-you-go pricing model. Apart from the standard licensing cost, you must also pay to get MongoDB Atlas technical support, which is expensive."
"The price of MongoDB Atlas is highly affordable."
"In my previous company, the product allowed use to build a database in a highly regulated environment with the ability to get distributed storage. We used MongoDB as a distributed storage to set up this environment for a critical business application with millions of dollars."
Information not available
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Financial Services Firm
12%
Construction Company
10%
Comms Service Provider
8%
Construction Company
27%
Insurance Company
24%
Comms Service Provider
12%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business24
Midsize Enterprise12
Large Enterprise23
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for MongoDB Atlas?
Pricing-wise, MongoDB Atlas has a pay-as-you-go strategy. The documentation for MongoDB is very good; I have learned multiple things through reading it. The free tier is M0 for $0, which is suitabl...
What needs improvement with MongoDB Atlas?
MongoDB Atlas can be improved in a few ways. While the platform is feature-rich, some advanced configuration and performance tuning options have a learning curve, especially for teams that are new ...
What is your primary use case for MongoDB Atlas?
My main use case for MongoDB Atlas is for storing and managing semi-structured or rapidly evolving data where schema flexibility is important. A good example of how I have used MongoDB Atlas for ma...
What needs improvement with PuppyGraph?
PuppyGraph is a virtual graph and not a real graph data model. However, at some point in time, once we freeze this as the graph and the graph data model, we would like to extend to a proper graph, ...
What is your primary use case for PuppyGraph?
The main use case for PuppyGraph is establishing a graph data model layer on top of our existing systems. We do not want to bring in a new product which is completely graph-oriented, mainly because...
What advice do you have for others considering PuppyGraph?
There are no concrete recommendations. The important thing is that if they have to choose PuppyGraph, they need to have the clarity that PuppyGraph is not a long-term solution. Only if they have a ...
 

Also Known As

Atlas, MongoDB Atlas (pay-as-you-go)
No data available
 

Overview

 

Sample Customers

Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.
Information Not Available
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