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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 (2nd)
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 September 2025, in the NoSQL Databases category, the mindshare of Cloudera Distribution for Hadoop is 2.8%, up from 2.4% compared to the previous year. The mindshare of Neo4j Graph Database is 5.7%, up from 3.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Market Share Distribution
ProductMarket Share (%)
Cloudera Distribution for Hadoop2.8%
Neo4j Graph Database5.7%
Other91.5%
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

"I don't see any performance issues."
"The product is completely secure."
"In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."
"We also really like the Cloudera community. You can have any question and will have your answer within a few hours."
"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 solution's most valuable feature is the enterprise data platform."
"We had a data warehouse before all the data. We can process a lot more data structures."
"It has the best proxy, security, and support features compared to open-source products."
"It is good for search-based tasks, providing solid search results and aggregate results."
"For now, the tool doesn't break down or stop, so it is quite stable."
"As a graph database, I am surprised at their performance and response time."
"Enables people to understand what the business problem is and how the technology helps."
"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."
"Creates the ability to visualize outputs."
 

Cons

"While the deployed product is generally functional, there are instances where it presents difficulties."
"Without the big data environment, we cannot store all of this data live. We have billions of records and terabytes of storage to be used. It's not an option actually for us to have a big data environment."
"The Cloudera training has deteriorated significantly."
"Cloudera Distribution for Hadoop is not always completely stable in some cases, which can be a concern for big data solutions."
"The competitors provide better functionalities."
"The governance aspect of the solution should be improved."
"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."
"Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."
"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."
"For me, when the tool was deployed on an on-premises model, it was a little bit difficult the first time."
"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

"Cloudera Distribution for Hadoop is expensive, with support costs involved."
"The price could be better for the product."
"Cloudera requires a license to use."
"The pricing must be improved."
"The price is very high. The solution is expensive."
"It is an expensive product."
"The solution is fairly expensive."
"When comparing with Oracle Sybase and SQL, it's cheaper. It's not 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
18%
Financial Services Firm
18%
Computer Software Company
11%
Energy/Utilities Company
6%
Financial Services Firm
15%
Computer Software Company
12%
Energy/Utilities Company
9%
Manufacturing Company
8%
 

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.
867,370 professionals have used our research since 2012.