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Cloudera Distribution for Hadoop 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

Cloudera Distribution for H...
Ranking in NoSQL Databases
11th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
51
Ranking in other categories
Hadoop (2nd)
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 Cloudera Distribution for Hadoop is 6.1%, up from 3.1% 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 (%)
Cloudera Distribution for Hadoop6.1%
PuppyGraph0.1%
Other93.8%
NoSQL Databases
 

Featured Reviews

Rok Dolinsek - PeerSpot reviewer
Manager, Bussines Development & Co Owner at Troia d.o.o.
Enables on-premise implementation with powerful data processing capabilities
This is the only solution that is possible to install on-premise. Cloudera provides a hybrid solution that combines compute on cloud or on-premises. It includes all machine learning algorithms in the Spark machine learning library. All functionalities needed for a big data platform and ETL are on the platform, eliminating the need for other tools. It is scalable, ready for vertical scaling, and very powerful, offering numerous functionalities and configurations for generative AI.
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 scalability of Cloudera Distribution for Hadoop is excellent."
"The solution has good features connected to end-to-end security."
"The most valuable feature is Kubernetes."
"I don't see any performance issues."
"The search function is the most valuable aspect of the solution."
"The product as a whole is good."
"This is the only solution that is possible to install on-premise."
"We were able to utilize data which was untapped previously."
"PuppyGraph has positively impacted our organization by driving transformative capital efficiency across our pipeline infrastructure, our storage footprint, and our product delivery."
"PuppyGraph is the best answer."
 

Cons

"Apache Kudu needs improvement. It's a real-time updatable database."
"There are better solutions out there that have more features than this one."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
"It is quite complicated to configure and install."
"The solution does not support multiple languages very well and this means users need to create work-arounds to implement some solutions."
"The solution is not fit for on-premise distributions."
"I subscribe to Cloudera to get an enterprise version but I have found that I can get some of its features from other vendors that would be at a lower cost than Cloudera."
"The Data Science Workbench doesn't support multiple languages. It needs to support multiple programming languages."
"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 tool is expensive...For the SMB market or customers whose environments are not that complex and do not have multiple systems running, Cloudera might not be a good option."
"The price could be better for the product."
"The pricing must be improved."
"The price is very high. The solution is expensive."
"I haven't bought a license for this solution. I'm only using the Apache license version."
"The solution is fairly expensive."
"It is an expensive product."
"Cloudera requires a license to use."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Outsourcing Company
11%
Construction Company
9%
Manufacturing Company
9%
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 Business16
Midsize Enterprise9
Large Enterprise32
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Cloudera Distribution for Hadoop?
The price for Cloudera is average, yet it is very good compared to other solutions. It can be deployed on-premises, unlike competitors' cloud-only solutions.
What needs improvement with Cloudera Distribution for Hadoop?
If they could support modifying the data more easily than the current implementation, it would be beneficial.
What is your primary use case for Cloudera Distribution for Hadoop?
We use Cloudera Distribution for Hadoop for many use cases including analytics, storing huge data sets, and various data processing tasks.
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

37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
Information Not Available
Find out what your peers are saying about Cloudera Distribution for Hadoop vs. PuppyGraph and other solutions. Updated: November 2026.
921,523 professionals have used our research since 2012.