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Oracle NoSQL vs PuppyGraph comparison

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Comparison Buyer's Guide

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

Oracle NoSQL
Ranking in NoSQL Databases
16th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
8
Ranking in other categories
No ranking in other categories
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
 

Mindshare comparison

As of November 2026, in the NoSQL Databases category, the mindshare of Oracle NoSQL is 4.4%, up from 2.6% compared to the previous year. The mindshare of PuppyGraph is 0.1%. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Mindshare Distribution
ProductMindshare (%)
Oracle NoSQL4.4%
PuppyGraph0.1%
Other95.5%
NoSQL Databases
 

Featured Reviews

SS
Support on banking at Aithent
Handles large data volumes effectively but connection issues require attention
The Oracle NoSQL solution is used primarily for storing data for our web applications. We work alongside the DBA team for this purpose, given that specific departments manage aspects of its use. We choose it specifically to handle large scales of data, such as in one of our bank customer's scenarios using more than nine hundred gigabytes of data.
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

"So far, we find stability to be very reasonable, it is dependable and we do not have any big issues."
"Oracle NoSQL is pretty scalable."
"NoSQL has high availability; I think it's perfect from a technical perspective, and it's quick to run and go."
"The product meets expectations when it comes to stability."
"The tool is easy to learn."
"With Oracle NoSQL, our clients have a highly scalable, simple to set up database that performs very well when data is organized correctly from the beginning."
"The features I've found to be most valuable are the speed of reading and writing (read/write performance levels are really high), the transactions model (semantics for data manipulation), and just the overall simplicity of using it."
"We have a support agreement with Oracle, ensuring full support for the product. It is crucial for our public-facing features. Oracle NoSQL is easy to manage and has fast data retrieval. Its compatibility with Oracle Database is seamless, making integration between NoSQL and relational databases smooth and effortless. Oracle NoSQL and NoSQL data replication in our environment works efficiently. Oracle fully supports it, and we can easily configure and manage authentication for the NoSQL database."
"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

"You will get high performance when you organize your data correctly at the beginning. Otherwise, there are instability issues."
"Oracle could improve how NoSQL works in containers. I don't think NoSQL needs any new features, but I want to see new features in the Oracle Cloud Infrastructure. I would like to see some improvements in OCI's building options."
"Focusing on making the administration easier compared to other solutions like MongoDB could be beneficial. Simplifying the administrative tasks could enhance the user experience."
"Handling big data in a user-friendly way is currently a bit of an issue. The dashboard for this needs some work."
"The installation is difficult."
"Personally, I’d like to see some improvements in the monitoring UI for it."
"I would rate Oracle NoSQL six or 6.5 out of ten based on my experience."
"The main areas that need improvement with NoSQL are in the area of big data and user-friendly presentation."
"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 product is expensive and Oracle could work to lower the licensing cost."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Outsourcing Company
14%
Comms Service Provider
10%
Construction Company
8%
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
Midsize Enterprise3
Large Enterprise5
No data available
 

Questions from the Community

What needs improvement with Oracle NoSQL?
Sometimes we face problems with the connection between our applications and the database. It may be due to network issues or performance issues on Oracle's side. Our DBA team requests validatio...
What is your primary use case for Oracle NoSQL?
We use Oracle NoSQL ( /products/oracle-nosql-reviews ) to store data for our web applications. It is being used for customer projects, and we handle one of our bank customers using more than nine h...
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 ...
 

Overview

 

Sample Customers

Airbus, Globacom, WebAction
Information Not Available
Find out what your peers are saying about Oracle NoSQL vs. PuppyGraph and other solutions. Updated: November 2026.
921,523 professionals have used our research since 2012.