Cloudera Distribution for Hadoop vs Google Cloud Firestore comparison

Cloudera Distribution for Hadoop vs. Google Cloud Firestore

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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

6.3

Number of Reviews

Ranking in other categories

Hadoop (2nd)

Google Cloud Firestore

Ranking in NoSQL Databases

15th

Average Rating

8.4

Reviews Sentiment

5.4

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (11th)

Mindshare comparison

As of March 2026, in the NoSQL Databases category, the mindshare of Cloudera Distribution for Hadoop is 3.6%, up from 1.9% compared to the previous year. The mindshare of Google Cloud Firestore is 3.0%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Cloudera Distribution for Hadoop	3.6%
Google Cloud Firestore	3.0%
Other	93.4%

NoSQL Databases

Featured Reviews

Sami Al-Yazidi

Head of Advaced Analytics & Intelligence; AGM at Alinma Bank

Integration of multiple features supports data analytics and processing

Cloudera Distribution for Hadoop provides numerous features and capabilities combined into one platform.The solution offers power processing and supports different file systems and query engines. It provides parallel processing for handling many requests. The platform includes role-based access control in Cloudera Distribution for Hadoop. It secures the data itself and provides users with different roles and privileges.

Read full review

PrathapSankar

engagement Manager at Capgemini

Has simplified backend development for moderate user applications and supports efficient real-time data updates

A simplified way of building a logical layer on top of Firebase is necessary. Currently, the only option is to use cloud functions or Cloud Run functions. If they come up with an easier way of handling the logical layer between the frontend and backend, that would be beneficial. The UI of Firebase is much better compared to AWS or other Azure, but there is still scope for improving the usability of the UI. Additionally, some more AI features for automation can be added. The security layer can be enhanced, as currently, for data handling, there is just rule-based security; they can add one more layer of data security.

Read full review

Quotes from Members

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

Pros

"For the clusters using CM, we are able to more tightly control and manage the configuration of all nodes in the clusters."

"Cloudera, as a whole, is designed to provide organizations with solutions for big data."

"The search function is the most valuable aspect of the solution."

"The main advantage is the storage is less expensive."

"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."

"In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."

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

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

More Cloudera Distribution for Hadoop pros

"The most valuable features are Firestore's query capabilities and its real-time syncing functionality."

"I use the solution for maps, saving some locations, and chats."

"One of the main features of Google Cloud Firestore's document management is the real-time listener; whenever there are any changes in the data, all the documents and applications that are reading through that particular document get automatically notified that there was some change, and automatically all the data gets refreshed."

Cons

"We're currently trying to perform a failed installation and it's little bit difficult. It should restart the installation where it left off."

"It needs more standardized documentation on Hive."

"Spark with R integration is missing. Also, it is lacking Spark SQL support."

"Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."

"The licensing was by node."

"There are multiple bugs when we update."

"The solution is not fit for on-premise distributions."

"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."

More Cloudera Distribution for Hadoop cons

"I initially faced a problem creating groups in individual chats."

"Firestore needs improvements in its querying capabilities, particularly the ability to join tables and merge data from different tables before sending it to the front end."

"For lower volumes, it works fine, but once the volume increases, for use cases where the total number of users is less than 100,000 a month, Firebase is cheaper. But once you go beyond that, it becomes very expensive."

Pricing and Cost Advice

"I haven't bought a license for this solution. I'm only using the Apache license version."

"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."

"I wouldn't recommend CDH to others because of its high cost."

"Cloudera requires a license to use."

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

"The price is very high. The solution is expensive."

"The solution is fairly expensive."

More Cloudera Distribution for Hadoop pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Marketing Services Firm

10%

Comms Service Provider

Computer Software Company

Comms Service Provider

13%

University

13%

Manufacturing Company

11%

Government

11%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	16
Midsize Enterprise	9
Large Enterprise	31

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 needs improvement with Google Cloud Firestore?

What is your primary use case for Google Cloud Firestore?

Firebase is our main backend, so for managing authentications, for managing the backend database, and building cloud functions, it is all through Firebase. In the case of Google Cloud Firestore, th...

What advice do you have for others considering Google Cloud Firestore?

I have experience with Firebase, especially Firebase, then Google Cloud Computing Engine, and then Google Firebase Studio. Google Cloud Firestore is one of the offerings in Firebase, which is basic...

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Product Reports

Cloudera Distribution for Hadoop

Download Cloudera Distribution for Hadoop product report

NoSQL Databases

Download Google Cloud Firestore product report

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.

Cloudera

Google Cloud Firestore is a scalable, real-time NoSQL cloud database that provides document-oriented data storage and synchronizes data seamlessly across devices.

Designed for mobile, web, and server development, Firestore allows developers to store and sync data quickly. It supports real-time updates which enable your applications to reflect changes instantly. Firestore is based on a managed infrastructure, relieving developers from server-side maintenance and scalability concerns. It integrates with other Google Cloud services making it a convenient choice for modern app development.

What are the key features?

Real-Time Updates: Firestore automatically synchronizes data across all connected clients in real-time.
Scaling: Dynamically scales to accommodate growing data and user demands.
Offline Persistence: Stores data locally so that applications remain usable in offline mode.
Database Queries: Supports sophisticated queries to filter and retrieve data efficiently.
Security: Provides robust rules-based security for data control.

What benefits and ROI considerations should users review?

Improved Development Speed: Simplifies syncing and storing data, saving development time.
Cost-Effective: Pay-as-you-go pricing model ensures costs align with usage.
Efficiency: Reduced need for backend development enhances productivity.
Reliability: Rest assured with dependable infrastructure that ensures availability.

Firestore is widely used in industries like retail, where apps require real-time inventory tracking and customer insights. In health tech, it's utilized for patient data management, ensuring real-time updates across platforms while adhering to security protocols. Educational tech companies implement the database to provide an interactive learning experience with live collaboration features.

Google

Sample Customers

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

Information Not Available

Cloudera Distribution for Hadoop vs. Google Cloud Firestore