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 8.3, while Google is ranked #13 with an average rating of 8.5. 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 50 Cloudera Distribution for Hadoop reviews

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92% willing to recommend

Google Cloud Firestore

Read 2 Google Cloud Firestore reviews

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45 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: April 2025).

Buyer's Guide

Cloudera Distribution for Hadoop vs. Google Cloud Firestore

April 2025

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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)

Google Cloud Firestore

Ranking in NoSQL Databases

13th

Average Rating

8.6

Reviews Sentiment

8.1

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (10th)

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.

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AnthonyAbah

Assistant Director at NAFDAC

Real-time syncing boosts productivity with efficient data management

The most valuable features are Firestore's query capabilities and its real-time syncing functionality. The queries are efficient, apart from some limitations. Real-time syncing allows any changes at the backend to automatically appear at the frontend. This is highly useful as it eliminates the need to reload the browser to see the updates.

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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

"Very good end-to-end security features."

"Cloudera is a very manageable solution with good support."

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

"It has the best proxy, security, and support features compared to open-source products."

"Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis."

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

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

"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."

More Cloudera Distribution for Hadoop pros

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

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

Cons

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

"This is a very expensive solution."

"The competitors provide better functionalities."

"They should focus on upgrading their technical capabilities in the market."

"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."

"The one thing that we struggled with predominately was support. Because it was relatively new, support was always a big issue and I think it's still a bit of an ongoing concern with the team currently managing it."

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

"It could be faster and more user-friendly."

More Cloudera Distribution for Hadoop cons

"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

"The pricing must be improved."

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

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

"Cloudera Distribution for Hadoop is expensive, with support costs involved."

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

"It is an expensive product."

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

More Cloudera Distribution for Hadoop pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

Computer Software Company

15%

Educational Organization

14%

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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.

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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.

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What needs improvement with Cloudera Distribution for Hadoop?

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. Integrating wit...

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What needs improvement with Google Cloud Firestore?

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. The pricing model is also...

See all answers

What is your primary use case for Google Cloud Firestore?

I use Google Cloud Firestore for user management and data storage, primarily for web applications. Firestore helps sync data between different users and stores documents efficiently.

See all answers

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

I highly recommend Google Cloud Firestore due to its cost-effectiveness and real-time syncing capabilities. However, it needs improvements in querying functionalities and a simplified pricing model.

See all answers

Comparisons

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Compared 31% of the time

Amazon EMR vs Cloudera Distribution for Hadoop

Compared 29% of the time

Apache Spark vs Cloudera Distribution for Hadoop

Compared 17% of the time

Cassandra vs Cloudera Distribution for Hadoop

Compared 5% of the time

Neo4j Graph Database vs Cloudera Distribution for Hadoop

Compared 4% of the time

More Cloudera Distribution for Hadoop Competitors

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Product Reports

Buyer's Guide

Cloudera Distribution for Hadoop

April 2025

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Buyer's Guide

NoSQL Databases

March 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

April 2025

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

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