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

6.4

Number of Reviews

Ranking in other categories

Hadoop (2nd)

Google Cloud Firestore

Ranking in NoSQL Databases

14th

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

"Cloudera provides a hybrid solution that combines compute on cloud or on-premises."

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

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

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

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

"It is helpful to gather and process data."

"Customer service and support were able to fix whatever the issue was."

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

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

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

"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."

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

"The dashboard could be improved."

"The initial setup of Cloudera is difficult."

"There are better solutions out there that have more features than this one."

"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. The Cloudera Machine Learning aspect could be tuned and enhanced to enable us to host some predictive analytics machine learning and AI use cases."

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 tool is not expensive."

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

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

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

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

"The solution is fairly expensive."

"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

Financial Services Firm

23%

Educational Organization

15%

Computer Software Company

14%

Energy/Utilities 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.

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?

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...

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...

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.

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.

HPE Ezmeral Data Fabric vs Cloudera Distribution for Hadoop

Comparisons

Compared 28% of the time

Amazon EMR vs Cloudera Distribution for Hadoop

Compared 27% of the time

Apache Spark vs Cloudera Distribution for Hadoop

Compared 16% of the time

Cassandra vs Cloudera Distribution for Hadoop

Compared 6% of the time

Apache HBase vs Cloudera Distribution for Hadoop

Compared 4% of the time

More Cloudera Distribution for Hadoop Competitors

Amazon DynamoDB vs Google Cloud Firestore

Compared 42% of the time

Microsoft Azure Cosmos DB vs Google Cloud Firestore

Compared 31% of the time

Redis vs Google Cloud Firestore

Compared 27% of the time

More Google Cloud Firestore Competitors

Product Reports

Cloudera Distribution for Hadoop

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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