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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
6.3
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

Nikhil Thapa - PeerSpot reviewer
Software Developer
Cloud database has transformed client demos and supports flexible unstructured data workflows
The best feature I would say is that there is free storage, which any NoSQL database provides, such as MongoDB Atlas. Apart from that, there is a very good MongoDB Atlas UI where we can see the cluster, databases, and all these features. When we are using it, the transactions go for real-time processing. These are the features that it offers us, and the connection is very good to any framework we are using in the backend. MongoDB Atlas is our primary database, and we prefer this because of the reliability of MongoDB Atlas. The UI is very good for Atlas, and the non-structured database is advantageous because we do not have required schema restrictions. The cluster management and the database handling of Atlas are very good. By using the UI, we can manage this efficiently, and these are the features on MongoDB Atlas that give us what we need.
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

"It is a solid product, very sustainable, and it takes minimal effort to solve a problem while being very easy to deploy."
"The most valuable feature is that it's all web-based. So one can browse collections just from the web. MongoDB Atlas is very accessible, quick to understand, and quick to learn. People who have never used CLI can hop into the web interface and browse the database."
"The solution has a very intuitive user interface."
"The most valuable feature of MongoDB Atlas is it's seamless when working with a lot of different systems. Additionally, it is able to adjust the data based on the data being received."
"The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases."
"MongoDB Atlas is our primary database, and we prefer this because of the reliability of MongoDB Atlas."
"The solution is easily scalable and manageable. Tools can be easily added to the solution."
"In my previous company, the product allowed us to build a database in a highly regulated environment with the ability to get distributed storage, and we used MongoDB as a distributed storage to set up this environment for a critical business application with millions of dollars."
"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

"<p>I would say pricing is an area where MongoDB Atlas could improve.</p>"
"MongoDB Atlas should support containerization."
"They could explore ways to facilitate deploying MongoDB containers within the platform."
"Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side."
"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better."
"Querying a dataset is not very intuitive, so I think that it can be improved."
"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."
"If it could be cheaper, that would make us happy."
"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

"We pay for a license."
"We're currently using the Atlas for the night and don't require a license. However, it can be a problem if you want to use their enterprise environment. Then you need to purchase the license."
"I am using the free version of the solution."
"The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones."
"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."
"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."
"We pay for the license on a monthly basis. It's not cheap or expensive. For smaller companies, it's definitely expensive."
"The solution is expensive overall. It does not require a license but if you want the support then you will need to purchase the license. They use a pay-as-you-go model and you are able to receive some discounts by making longer usage commitments."
Information not available
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Financial Services Firm
12%
Construction Company
9%
Comms Service Provider
8%
Construction Company
26%
Insurance Company
23%
Comms Service Provider
12%
Computer Software 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.
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