Cloudera Distribution for Hadoop vs Google Cloud Firestore comparison

Cloudera and Google are both solutions in the NoSQL Databases category. Cloudera is ranked #8 with an average rating of 8.2, while Google is ranked #13 with an average rating of 8.3. Cloudera holds a 2.9% mindshare in ND, compared to Google’s 2.3% mindshare. Additionally, 92% of Cloudera users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Cloudera Distribution for H...

Read 51 Cloudera Distribution for Hadoop reviews

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452 Comparison Views

92% willing to recommend

Google Cloud Firestore

Read 3 Google Cloud Firestore reviews

430 Views
237 Comparison Views

100% willing to recommend

Cloudera Distribution for H...

Google Cloud Firestore

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Executive SummaryUpdated on Jan 7, 2025

Cloudera Distribution for Hadoop and Google Cloud Firestore are competitive in data management and storage. Google Cloud Firestore appears superior due to its advanced data-handling and user-friendliness.

Features: Cloudera Distribution for Hadoop provides a comprehensive ecosystem for big data processing, analytics, and integration with various tools. Google Cloud Firestore focuses on real-time data synchronization, automatic scaling, and seamless cloud integration.

Ease of Deployment and Customer Service: Cloudera Distribution for Hadoop involves a complex deployment process requiring significant IT resources. Google Cloud Firestore offers simplified deployment within the Google Cloud ecosystem and benefits from extensive customer service and support.

Pricing and ROI: Cloudera Distribution for Hadoop requires higher setup costs due to the need for extensive infrastructure and skilled personnel. Google Cloud Firestore uses a pay-as-you-go pricing model that offers flexibility and potential cost reduction, leading to a more attractive ROI.

To learn more, read our detailed Cloudera Distribution for Hadoop vs. Google Cloud Firestore Report (Updated: September 2025).

Buyer's Guide

Cloudera Distribution for Hadoop vs. Google Cloud Firestore

September 2025

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Helped 869,566 peers since 2012

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 (1st)

Google Cloud Firestore

Ranking in NoSQL Databases

13th

Average Rating

8.4

Reviews Sentiment

5.4

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (11th)

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 Google Cloud Firestore is 2.3%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
Cloudera Distribution for Hadoop	2.9%
Google Cloud Firestore	2.3%
Other	94.8%

NoSQL Databases

Featured Reviews

Rok Dolinsek

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.

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

"The scalability of Cloudera Distribution for Hadoop is excellent."

"The most valuable feature is Kubernetes."

"I don't see any performance issues."

"The features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized."

"The tool's most interesting features are the distributed file system and unstructured data processing capability. Because we have a lot of unstructured data, like XML and social media logs, these features make it more valuable than the usual data warehousing solutions."

"We also really like the Cloudera community. You can have any question and will have your answer within a few hours."

"The product provides better data processing features than other tools."

"The most valuable feature is Impala, the querying engine, which is very fast."

More Cloudera Distribution for Hadoop pros

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

"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."

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

Cons

"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."

"The Cloudera training has deteriorated significantly."

"The security of this solution could be improved. There should also be a way to basically have a blockchain enabled storage with the HDFS."

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

"Cloudera's support is extremely bad and cannot be relied on."

"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."

"It is quite complicated to configure and install."

"This is a very expensive solution."

More Cloudera Distribution for Hadoop cons

"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."

"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."

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

Pricing and Cost Advice

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

"It is an expensive product."

"When comparing with Oracle Sybase and SQL, it's cheaper. It's 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."

"The solution is fairly expensive."

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

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

"Cloudera requires a license to use."

More Cloudera Distribution for Hadoop pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

18%

Financial Services Firm

18%

Computer Software Company

11%

Energy/Utilities Company

No data available

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.

See all answers

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.

See all answers

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.

See all answers

What needs improvement with Google Cloud Firestore?

See all answers

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...

See all answers

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...

See all answers

Comparisons

HPE Ezmeral Data Fabric vs Cloudera Distribution for Hadoop

Compared 24% of the time

Amazon EMR vs Cloudera Distribution for Hadoop

Compared 21% of the time

MongoDB Enterprise Advanced vs Cloudera Distribution for Hadoop

Compared 13% of the time

Couchbase Enterprise vs Cloudera Distribution for Hadoop

Compared 13% of the time

Apache Spark vs Cloudera Distribution for Hadoop

Compared 10% of the time

More Cloudera Distribution for Hadoop Competitors

MongoDB Atlas vs Google Cloud Firestore

Compared 30% of the time

MongoDB Enterprise Advanced vs Google Cloud Firestore

Compared 16% of the time

Amazon DynamoDB vs Google Cloud Firestore

Compared 16% of the time

Couchbase Enterprise vs Google Cloud Firestore

Compared 12% of the time

Microsoft Azure Cosmos DB vs Google Cloud Firestore

Compared 11% of the time

More Google Cloud Firestore Competitors

Product Reports

Buyer's Guide

Cloudera Distribution for Hadoop

October 2025

Download Cloudera Distribution for Hadoop product report

Buyer's Guide

NoSQL Databases

September 2025

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

Buyer's Guide

Cloudera Distribution for Hadoop vs. Google Cloud Firestore

September 2025

Free Report: Cloudera Distribution for Hadoop vs. Google Cloud Firestore

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