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DataStax Enterprise 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

DataStax Enterprise
Ranking in NoSQL Databases
10th
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
7
Ranking in other categories
Vector Databases (13th)
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 DataStax Enterprise is 3.9%, up from 1.6% 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 (%)
DataStax Enterprise3.9%
PuppyGraph0.1%
Other96.0%
NoSQL Databases
 

Featured Reviews

Pooja Singh - PeerSpot reviewer
Devops Specialist at a tech vendor with 10,001+ employees
Reliable backup and recovery has protected critical telecom customer data in daily operations
When I was taking the backup with a data volume of 15 to 20 GB, the full backup running for the first time did not provide metrics to understand what percent of progress had been made. We had to read the logs, but we did not see any percentage in those logs. This is an improvement item for DataStax Enterprise to provide metrics, a bar, or a percentage so we can grasp how much data has been backed up or restored. There are no graphs available to make us aware of how long the process will take to complete, which is a drawback I noticed during backup and restore. In addition, I notice a huge time lag during restoration because each node takes a lot of time to be added to the pool and to the cluster node, one by one. The entire time the production is down presents a concerning situation. There should be an alternative for restoring where data can be provided to live traffic so it does not impact customers in the case of a disaster.
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

"I can share specific outcomes or metrics that show this positive impact, such as improvements in performance of about 60% and a reduction in downtime of about 40 to 45%, which is very great."
"DataStax Enterprise has positively impacted my organization as we are now an e-commerce website that has never faced downtime, which helps our business to boom and significantly enhances our customer experience."
"DataStax Enterprise is highly scalable, very reliable, and easy to manage and troubleshoot, helping us host a lot of complicated data efficiently because it is an upgraded version of relational database systems based on Cassandra, with a backup and recovery process that is also pretty smooth."
"The customer support for DataStax Enterprise is amazing, as any requests I have raised receive prompt responses, often within minutes, and the support engineers are knowledgeable and helpful."
"I can share specific outcomes resulting from using DataStax Enterprise as we have been seeing an uptick in user adoption, since the introduction of this, our users have jumped from around 20,000 to 50,000."
"DataStax Enterprise has positively impacted my organization by helping us handle large amounts of data more easily and quickly, improving our system speed, and making our application more reliable."
"Some of the positive outcomes I see are that system stability improved a lot, there is no single point of failure, so downtime is reduced significantly, and the system stays up even when we face issues in a node."
"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

"In addition, I notice a huge time lag during restoration because each node takes a lot of time to be added to the pool and to the cluster node, one by one."
"I believe that DataStax Enterprise could be improved by working more on making the OpsCenter user interface more user-friendly, particularly regarding the fonts and overall UI."
"The user interface of DataStax Enterprise can be simpler and easier to use, especially for new users, and I think it should be improved in that area."
"I believe DataStax Enterprise could be easier in areas such as operational complexity, especially for those coming from a traditional relational database background."
"There is still room for improvement and DataStax Enterprise can definitely improve their UI."
"If not keeping current with updates, updating from an older major version to a newer major version can be a bit complicated and time-consuming, but DataStax Enterprise support will help us with this."
"My experience with pricing, setup cost, and licensing is that I feel the cost is a bit expensive compared to the open-source implementation of Cassandra, and the initial cluster setup is complex."
"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
Financial Services Firm
15%
Outsourcing Company
11%
Manufacturing Company
9%
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
Small Business4
Large Enterprise7
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for DataStax Enterprise?
I was not involved in the licensing for DataStax Enterprise, which is managed by a different team, but I understand it operates on a core-based licensing model, which is standard. The licensing tea...
What needs improvement with DataStax Enterprise?
When I was taking the backup with a data volume of 15 to 20 GB, the full backup running for the first time did not provide metrics to understand what percent of progress had been made. We had to re...
What is your primary use case for DataStax Enterprise?
DataStax Enterprise is currently deployed in production at Amdocs where we provide service to the AT&T account. To store customer data, we manage all customer usage information. Our company is ...
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

ING, Netflix, UBS, eBay, Constant Contact, Aeris, Arise, ClearCapital, Dyn, Engine, Noble Group, Pantheon, Target
Information Not Available
Find out what your peers are saying about DataStax Enterprise vs. PuppyGraph and other solutions. Updated: November 2026.
921,523 professionals have used our research since 2012.