Cloudera Distribution for Hadoop vs MongoDB comparison

Cloudera Distribution for H...

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Executive SummaryUpdated on Jan 7, 2025

Cloudera Distribution for Hadoop and MongoDB compete in the big data and database management solutions category, respectively. Based on feature offerings, Cloudera has the upper hand due to its comprehensive enterprise-level security and management capabilities, while MongoDB stands out for its flexibility and developer-friendly features.

Features: Cloudera offers enterprise security through features like authentication and data governance, fast data processing with Impala, and streamlined management via Cloudera Manager. It supports a broad range of Hadoop ecosystem components. MongoDB provides ease of use for developers with its schemaless architecture, scalability for managing diverse data types, and excellent JSON support for data interchange.

Room for Improvement: Cloudera struggles with stability issues, complex upgrade processes, and real-time processing performance, necessitating improved API documentation and better integration with new technologies. MongoDB requires enhanced integration with relational databases, improved stability, and better handling of transactions and joins across tables.

Ease of Deployment and Customer Service: Cloudera's deployment leans towards on-premises with some cloud options but involves complexity needing substantial DevOps resources. Customer support is mixed, with inconsistencies in responsiveness. MongoDB allows flexible deployment across various cloud models including a straightforward setup, especially beneficial for developers. It enjoys robust community and generally well-regarded technical support.

Pricing and ROI: Cloudera’s pricing is steep, scaling with nodes and services, though it offers significant value for large enterprises with complex requirements. The ROI is hard to measure in analytics projects. MongoDB’s open-source model provides a free version, appealing to small projects with budget limits. Its enterprise edition is reasonably priced, offering a good value proposition compared to competitors like Oracle.

To learn more, read our detailed Cloudera Distribution for Hadoop vs. MongoDB Report (Updated: January 2025).

Cloudera Distribution for Hadoop vs. MongoDB

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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

6.4

Number of Reviews

Ranking in other categories

Hadoop (2nd)

MongoDB

Ranking in NoSQL Databases

1st

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Open Source Databases (5th), Managed NoSQL Databases (9th)

Mindshare comparison

As of January 2025, in the NoSQL Databases category, the mindshare of Cloudera Distribution for Hadoop is 2.3%, down from 3.0% compared to the previous year. The mindshare of MongoDB is 22.9%, down from 26.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases

Featured Reviews

Miodrag-Stanic

Senior Architect at Yettel

You can manage all services from one place in an integrated manner

We switched to Airflow because Cloudera is outdated. It's not widely used. It would be good if we had the Spark 3.5. Spark is quite old. Cloudera is now offering an alternate solution as a replacement for AWS. AWS works badly with small files. The solution is not fit for on-premise distributions. It should be containerized so we can deploy it as containers within Kubernetes. We had one upgrade from CDH to CDP, which lasted for a long time. And I would expect with containerized deployment, it would be upgraded much more quickly than we had the experience.

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Hamidul Islam

Senior Consultant at Infosys

Lightweight with good flexibility and very fast performance for searching data

I used the solution in the production level to search data and create education-based tutorials for a project. We had 30 managers, senior architects, tech leads, and software engineers working on the project. Currently, I use the solution for my personal work. The solution has good flexibility…

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Quotes from Members

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

Pros

"The product as a whole is good."

"It is helpful to gather and process data."

"We're now able to store large volumes of data through Cloudera Distribution for Hadoop. We're able to push large volumes of data to the platform, and that used to be a challenge, especially when storing a terabyte of information. This is the area where Cloudera Distribution for Hadoop improved the organization."

"The file system is a valuable feature."

"With a cluster available, you can manage the security layer using the shared SDX - it provides flexibility."

"The solution is reliable and stable, it fits our requirements."

"The data science aspect of the solution is valuable."

"The tool can be deployed using different container technologies, which makes it very scalable."

More Cloudera Distribution for Hadoop pros

"The reports are useful for controlling the load of our whole architecture."

"The most valuable feature is that you can store unstructured data, which is helpful when you don't know what the best structure should be and you cannot use a relational database because of that."

"MongoDB is flexible and it allows other applications to be added."

"We decided to work with MongoDB as its interface is easier to understand and more universal."

"MongoDB is relatively fast compared to relational databases."

"I think that MongoDB isn't too structured, and that's good for our technical team because they are able to search through the database better than if they are using SQL Server."

"Easier to maintain the data with its document-based storage."

"The most valuable features of MongoDB are the variety of translations available and the ability to deploy it on the cloud is useful. The cloud users can access the data, work on the data, and if they want to import or manipulate some data they can."

More MongoDB pros

Cons

"The solution does not support multiple languages very well and this means users need to create work-arounds to implement some solutions."

"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."

"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 tool's ability to be deployed on a cloud model is an area of concern where improvements are required."

"The pricing needs to improve."

"The initial setup of Cloudera is difficult."

"This is a very expensive solution."

"The price of this solution could be lowered."

More Cloudera Distribution for Hadoop cons

"More stable indexes would be helpful in a future release. That's been an issue for some time. I don't know if it's been fixed now but we transitioned to it because we needed a search index to be able to search for things and if that goes or starts disappearing, we have to move away from that solution. I don't know if they fixed it, last time I had this issue was three years ago so they might have solved it."

"MongoDB can improve large-size video or media frame operations. There are a lot of customers who want to upload media frames and video games but there is some difficulty. In MongoDB, we are looking out for solutions that are for large-size media files that can be saved and navigated efficiently."

"The solution could include more integrations with other platforms."

"It has certain limitations when it comes to handling hierarchical data, enforcing relationships, and performing complex joins, which should be taken into account when designing databases for applications with intricate data requirements."

"Lacks sufficient scalability and elasticity."

"MongoDB should support TypeScript."

"You need integration with other tools to run the query in MongoDB."

"It would help if MongoDB offered a light solution for small projects."

More MongoDB cons

Pricing and Cost Advice

"The product’s price depends from project to project."

"The pricing must be improved."

"The tool is not expensive."

"The solution is expensive."

"The solution is fairly expensive."

"When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive."

"I believe we pay for a three-year license."

"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."

More Cloudera Distribution for Hadoop pricing and cost advice

"MongoDB's pricing is reasonable."

"I believe that the licensing fees are paid on a yearly basis."

"It is rather expensive."

"You only have to pay for the paid version, not the open-source version."

"This is an open-source solution."

"We use the open-source version, which is available to use free of charge."

"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."

"The solution is open source so is free."

More MongoDB pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

23%

Computer Software Company

14%

Educational Organization

11%

Manufacturing Company

Financial Services Firm

18%

Computer Software Company

14%

University

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 tool is expensive. Overall, it's not a cheap software tool, and that is why only large enterprises who are mature enough and have an architecture that is complex enough opt for Cloudera, as its...

What needs improvement with Cloudera Distribution for Hadoop?

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. ...

What do you like most about MongoDB?

MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.

What is your experience regarding pricing and costs for MongoDB?

MongoDB is free of charge. that said, there is also a paid version. We use both free and paid versions.

What needs improvement with MongoDB?

If something is wrong on the cluster, then you need to contact the support team. The stability could be better.

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Product Reports

Cloudera Distribution for Hadoop

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Cloudera

Overview

Cloudera Distribution for Hadoop is the world's most complete, tested, and popular distribution of Apache Hadoop and related projects. CDH is 100% Apache-licensed open source and is the only Hadoop solution to offer unified batch processing, interactive SQL, and interactive search, and role-based access controls. More enterprises have downloaded CDH than all other such distributions combined.

MongoDB is a flexible and scalable NoSQL database solution that efficiently handles both structured and unstructured data. It is known for its ease of use, JSON capabilities, and efficient data handling, making it ideal for developer-friendly environments.

MongoDB stands out with features like sharding, geospatial indexing, and its open-source nature. Users find it fast and appreciate its seamless integration into different applications. Despite being powerful, it remains straightforward to set up and use, bolstered by a clustering and aggregation framework that enhances its functionality. While generally appreciated for its cost-effectiveness and broad application compatibility, there is room for improvement in security, enterprise integration, and the creation of more robust training and documentation resources. Enhancing performance and adding support for traditional relational database concepts could also prove beneficial.

What are MongoDB's most important features?

Scalability: Efficiently manages growing data volumes.
Flexibility: Supports structured and unstructured data with ease.
Sharding: Distributes data across multiple servers.
Geospatial Indexing: Enables location-based data handling.
Open-source: Wide community support and customization.

What benefits or ROI should users look for?

Cost-effectiveness: Reduces overall database management expenses.
Ease of Use: Simplifies database setup and maintenance.
Developer-friendly: Accelerates application development with supportive tools.
Scalable Solutions: Adapts to evolving business requirements.

MongoDB finds widespread application across industries like healthcare, logistics, and telecommunications. It efficiently powers IoT platforms, data analytics, and document management systems. Its schema flexibility and JSON storage capabilities make it ideal for real-time processing and multi-server databases, essential for handling large-scale data volumes in modern applications.

Sample Customers

37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC

Facebook, MetLife, City of Chicago, Expedia, eBay, Google

Cloudera Distribution for Hadoop vs. MongoDB