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Cloudera Distribution for Hadoop vs Neo4j Graph Database comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 7, 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

Cloudera Distribution for H...
Ranking in NoSQL Databases
10th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
51
Ranking in other categories
Hadoop (2nd)
Neo4j Graph Database
Ranking in NoSQL Databases
8th
Average Rating
8.6
Reviews Sentiment
7.7
Number of Reviews
6
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the NoSQL Databases category, the mindshare of Cloudera Distribution for Hadoop is 3.3%, up from 1.9% compared to the previous year. The mindshare of Neo4j Graph Database is 6.1%, up from 4.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Market Share Distribution
ProductMarket Share (%)
Neo4j Graph Database6.1%
Cloudera Distribution for Hadoop3.3%
Other90.6%
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.
RT
VP odfTechnology at Enterpi Software Solutions Private Limited
Delivers superior search and data aggregation capabilities
Neo4j helps with advanced search needs, providing good search results and aggregates compared to MongoDB. Aggregating with MongoDB can be difficult; however, with Neo4j, it's easier. Aggregating data, backing up, and creating new clusters are user-friendly from the back end. In DevOps web deployment, we noticed no database issues. We created Docker instances and set them up efficiently, managing databases up to 50 gigabytes.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"I don't see any performance issues."
"The most valuable feature is that I can use CDH for almost all use cases across all industries, including the financial sector, public sector, private retailers, and so on."
"Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis."
"The solution's most valuable feature is the enterprise data platform."
"Cloudera Distribution for Hadoop provides numerous features and capabilities combined into one platform, offers power processing, supports different file systems and query engines, and provides parallel processing for handling many requests."
"The product provides better data processing features than other tools."
"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there are a lot of things that need to improve. I believe they are working on that."
"Customer service and support were able to fix whatever the issue was."
"Enables people to understand what the business problem is and how the technology helps."
"As a graph database, I am surprised at their performance and response time."
"For now, the tool doesn't break down or stop, so it is quite stable."
"It is good for search-based tasks, providing solid search results and aggregate results."
"Creates the ability to visualize outputs."
"The solution's best feature is how it differs from traditional SQL databases. It's hard to map people and find those near me in SQL, which requires long, complex queries. Neo4j Graph Database makes this easier with simpler queries. It also supports more data types, like JSON, which SQL doesn't."
 

Cons

"The dashboard could be improved."
"The competitors provide better functionalities."
"They should focus on upgrading their technical capabilities in the market."
"The tool doesn't support reporting, and relational databases are still the major source of reporting data. Apache Iceberg will be launched soon within the Cloudera cluster for analytical purposes. The Cloudera Machine Learning aspect could be tuned and enhanced to enable us to host some predictive analytics machine learning and AI use cases."
"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 could be faster and more user-friendly."
"It would be useful if Cloudera had more tools like SQL Engines that offer the traditional relational database. We have to do a lot of work preparing the data outside Cloudera before getting it into the platform."
"There are concerns about performance and whether the tool can necessarily scale to provide the solution."
"The only problem is that the community is quite small."
"The tool could improve by having more resources, especially for Golang, which we use. It lacks good basic libraries and doesn't have an ORM (Object-Relational Mapping) tool, which many NoSQL databases have. We thought about building an ORM for the Neo4j Graph Database but are too busy."
"So far, we have not had any issues and are happy with the product in general."
"For me, when the tool was deployed on an on-premises model, it was a little bit difficult the first time."
 

Pricing and Cost Advice

"The price could be better for the product."
"The tool is not expensive."
"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."
"Cloudera Distribution for Hadoop is expensive, with support costs involved."
"The price is very high. The solution is expensive."
"The solution is expensive."
"It is an expensive product."
"I wouldn't recommend CDH to others because of its high cost."
"The tool is not expensive."
"The solution is open source so that you can use it for free. They also offer an enterprise version with its billing. If your company is earning well, I suggest using the enterprise version. Otherwise, you can deploy it on your own cloud and pay based on usage."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Marketing Services Firm
9%
Computer Software Company
8%
Comms Service Provider
6%
Financial Services Firm
17%
Computer Software Company
10%
Energy/Utilities Company
9%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise9
Large Enterprise31
No data available
 

Questions from the Community

What do you like most about Cloudera Distribution for Hadoop?
The tool can be deployed using different container technologies, which makes it very scalable.
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 experience regarding pricing and costs for Neo4j?
The solution is open source so that you can use it for free. They also offer an enterprise version with its billing. If your company is earning well, I suggest using the enterprise version. Otherwi...
What needs improvement with Neo4j Graph Database?
The only problem is that the community is quite small.
What is your primary use case for Neo4j Graph Database?
We have used Neo4j in microservices. In one of the microservices, we used Neo4j since we have some requirements similar to MongoDB plus Elasticsearch. It performs both functions. Instead of doing t...
 

Overview

 

Sample Customers

37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
Walmart, Telenor, Wazoku, Adidas, Cerved, GameSys, eBay, Schleich, ICIJ, die Bayerisch, Megree, InfoJobs, LinkedIn
Find out what your peers are saying about Cloudera Distribution for Hadoop vs. Neo4j Graph Database and other solutions. Updated: February 2026.
881,733 professionals have used our research since 2012.