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Microsoft Azure DocumentDB vs PuppyGraph comparison

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Executive Summary

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

Microsoft Azure DocumentDB
Ranking in NoSQL Databases
15th
Average Rating
8.6
Reviews Sentiment
5.4
Number of Reviews
7
Ranking in other categories
Database as a Service (DBaaS) (14th)
PuppyGraph
Ranking in NoSQL Databases
23rd
Average Rating
8.6
Reviews Sentiment
6.3
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Anish-Anand - PeerSpot reviewer
Senior Project Manager at Happiest Minds
Reporting for global banking stakeholders has become seamless and supports diverse visual formats
All Microsoft applications, whether database or analytics, are a little costlier compared to Google products, and this is a barrier that needs to be crossed so that all its applications become more affordable. For example, startups typically go for free tools. Microsoft should offer these products for free to startups or perhaps free for the first year or two years, so that startups can use these applications, and once they grow bigger and have larger revenue, they can purchase it at a reasonable cost. All Microsoft tools need to cut down on their price and have a better strategy around pricing for the masses. If you sell only to ten customers, your revenue is lesser, but if you give something for free to some customers, two years down the line they will purchase it. Microsoft Azure DocumentDB still needs the ability to connect to other analytics easily without any additional integrator. For example, if I can connect to Google Analytics or other analytics that are not Microsoft tools using this database, that would be a good source of revenue. If I have already purchased Google Analytics in my company and I need a database, and Microsoft Azure DocumentDB can very easily connect or integrate to my Google Analytics, I would not have to think twice. Cross-company application connectivity is something that needs to be worked on.
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 most beneficial features of Microsoft Azure DocumentDB that I noticed is that it appeared to be straightforward, it was ease of use, it was not complicated compared to some of the other tools that are out there, the teams were familiar with it, and it integrated well with other Microsoft products."
"Microsoft Azure DocumentDB has positively impacted my organization by allowing us to reduce database costs by 30%."
"One of the most appreciated aspects of Microsoft Azure DocumentDB is the elastic scaling feature which has significantly helped manage business growth for two customers who have employed it, experiencing a dramatic rise in improvement."
"The most valuable feature of Microsoft Azure DocumentDB in my daily work is the speed."
"The best features Microsoft Azure DocumentDB offers are similar flavors of MongoDB compatibles, built on top of SQL DB, and it is a stronger fit for modern applications using JSON documents, microservices, and AI applications."
"We have immeasurable benefits mainly in reduced operational effort and the time saved on routine database administration."
"Microsoft Azure DocumentDB is never down because of its scalability feature."
"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

"Microsoft gives you the base functionality which you can grow from, but some tools perhaps go a bit further because that is their only focus or niche."
"It is a bit expensive, especially concerning the elastic scale."
"Maybe in the future, I would like to see relationships between one document set and another document set."
"All Microsoft applications, whether database or analytics, are a little costlier compared to Google products, and this is a barrier that needs to be crossed so that all its applications become more affordable."
"Microsoft Azure DocumentDB is not yet stable, as there are a couple of issues we are reporting to Microsoft to work on."
"Microsoft Azure DocumentDB could be improved with more straightforward cost and performance optimization guidance, especially for understanding resource usage and selecting the right configuration for different workloads."
"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."
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Top Industries

By visitors reading reviews
No data available
Construction Company
26%
Insurance Company
24%
Comms Service Provider
12%
Computer Software Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Large Enterprise3
No data available
 

Questions from the Community

What needs improvement with Microsoft Azure DocumentDB?
When considering how Microsoft Azure DocumentDB can be improved, I see that there are definitely a couple of things we find out and feel could actually improve Microsoft Azure DocumentDB a little m...
What is your primary use case for Microsoft Azure DocumentDB?
My main use case for Microsoft Azure DocumentDB is for existing applications that use MongoDB APIs, and my team mostly wants Azure-managed services but prefers an open-source orientation and founda...
What advice do you have for others considering Microsoft Azure DocumentDB?
I would rate Microsoft Azure DocumentDB a seven out of ten. I chose seven out of ten due to some improvement areas that I already mentioned. If those worked out, then probably I could give a better...
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 ...
 

Comparisons

No data available
 

Overview

Find out what your peers are saying about Microsoft Azure DocumentDB vs. PuppyGraph and other solutions. Updated: November 2026.
921,523 professionals have used our research since 2012.