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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
8th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
51
Ranking in other categories
Hadoop (1st)
Neo4j Graph Database
Ranking in NoSQL Databases
9th
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 October 2025, in the NoSQL Databases category, the mindshare of Cloudera Distribution for Hadoop is 2.9%, up from 2.5% compared to the previous year. The mindshare of Neo4j Graph Database is 5.9%, up from 3.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Market Share Distribution
ProductMarket Share (%)
Cloudera Distribution for Hadoop2.9%
Neo4j Graph Database5.9%
Other91.2%
NoSQL Databases
 

Featured Reviews

Rok Dolinsek - PeerSpot reviewer
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
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

"The solution's most valuable feature is the enterprise data platform."
"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."
"The main advantage is the storage is less expensive."
"Cloudera is a very manageable solution with good support."
"The solution is stable."
"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."
"The search function is the most valuable aspect of the solution."
"The most valuable feature is Kubernetes."
"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."
"For now, the tool doesn't break down or stop, so it is quite stable."
"Creates the ability to visualize outputs."
"It is good for search-based tasks, providing solid search results and aggregate results."
"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."
 

Cons

"The dashboard could be improved."
"They should focus on upgrading their technical capabilities in the market."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
"The performance of some analytics engines provided by Cloudera is not that good."
"The areas of improvement depend on the scale of the project. For banking customers, security features and an essential budget for commercial licenses would be the top priority. Data regulation could be the most crucial for a project with extensive data or an extra use case."
"While the deployed product is generally functional, there are instances where it presents difficulties."
"This is a very expensive solution."
"It is quite complicated to configure and install. Integrating the platform into an information system is always a challenge, especially when starting with on-premise implementation."
"For me, when the tool was deployed on an on-premises model, it was a little bit difficult the first time."
"So far, we have not had any issues and are happy with the product in general."
"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."
"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."
 

Pricing and Cost Advice

"The solution is fairly expensive."
"The product’s price depends from project to project."
"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 requires a license to use."
"I haven't bought a license for this solution. I'm only using the Apache license version."
"It is an expensive product."
"I wouldn't recommend CDH to others because of its high cost."
"The solution is expensive."
"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
Educational Organization
19%
Financial Services Firm
18%
Computer Software Company
11%
Energy/Utilities Company
6%
Financial Services Firm
15%
Computer Software Company
10%
Energy/Utilities Company
10%
Educational Organization
7%
 

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: September 2025.
872,008 professionals have used our research since 2012.