Cassandra vs Google Cloud Firestore comparison

Apache and Google are both solutions in the NoSQL Databases category. Apache is ranked #5 with an average rating of 8.6, while Google is ranked #15 with an average rating of 8.3. Apache holds a 8.2% mindshare in ND, compared to Google’s 3.1% mindshare. Additionally, 92% of Apache users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Cassandra

Read 25 Cassandra reviews

4,616 Views
2,862 Comparison Views

92% willing to recommend

Google Cloud Firestore

Read 3 Google Cloud Firestore reviews

1,578 Views
868 Comparison Views

100% willing to recommend

Cassandra

Google Cloud Firestore

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 7, 2025

Cassandra and Google Cloud Firestore are in the large-scale database management sector, with Firestore often leading due to its integration with Google Cloud's suite.

Features: Cassandra's key features are horizontal scalability, decentralization, and its open-source nature, allowing customization. Firestore offers real-time synchronization, integration with Google services, and a serverless architecture.

Ease of Deployment and Customer Service: Cassandra supports manual deployment catering to specific infrastructure needs. Google Cloud Firestore offers a managed solution benefiting from global data centers and robust support.

Pricing and ROI: Cassandra involves lower initial costs due to being open-source but may accrue maintenance expenses. Firestore's pay-as-you-go model offers predictable costs and a clear ROI when integrated with Google Cloud products.

To learn more, read our detailed Cassandra vs. Google Cloud Firestore Report (Updated: June 2026).

Buyer's Guide

Cassandra vs. Google Cloud Firestore

June 2026

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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

Cassandra

Ranking in NoSQL Databases

5th

Average Rating

8.0

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

Vector Databases (12th)

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 August 2026, in the NoSQL Databases category, the mindshare of Cassandra is 8.2%, down from 9.7% compared to the previous year. The mindshare of Google Cloud Firestore is 3.1%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Cassandra	8.2%
Google Cloud Firestore	3.1%
Other	88.7%

NoSQL Databases

Featured Reviews

Monirul Islam Khan

Head, Data Integration & Management at a non-profit with 10,001+ employees

Has maintained secure document storage and efficient data distribution with peer-to-peer architecture

The functions or features in Cassandra that I have found most valuable are that it is a distributed system similar to Mongo. It's good enough for comparison with another SQL database, so it's smooth and organized for distributed database system. The peer-to-peer architecture in Cassandra is helpful for network decentralization, and I have already introduced that feature. Cassandra features in peer-to-peer as well as another monitoring, so basically, it's good enough for our service. The tunable consistency level in Cassandra is good, and we are using that feature already. In terms of built-in caching and lightweight transactions in Cassandra, the transaction level is good, and it's optimized, so there are no more issues in that database. Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there. Additionally, the database monitoring system or auditing system is well-comparable with other database systems, so we are actually happy to be using this Cassandra database.

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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.

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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

"We can add almost one million columns to the solution."

"I am satisfied with the performance."

"The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time updates is paramount."

"The solution's database capabilities are very good."

"Some of the valued features of this solution are it has good performance and failover."

"The technical evaluation is very good."

"Overall, I would rate Cassandra as nine because of its fast writes, which really suit our use cases mostly."

"The most valuable features of Cassandra are its scaling capabilities and its non-SQL nature capabilities."

More Cassandra pros

"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."

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

Cons

"It can be difficult to analyze what's going on inside of the database relative to other databases. It can also be difficult to troubleshoot sometimes."

"Cassandra is very complex to manage. Sometimes, I need to involve a senior DevOps engineer if we encounter a problem."

"The disc space is lacking. You need to free it up as you are working."

"I want Cassandra to update its open-source version more quickly. It's already feature-rich, but I'd appreciate better integration with other NoSQL databases like MariaDB or MongoDB. If I ever need to work with customers or vendors using different NoSQL databases, having native integration in Cassandra would make managing and interacting with their databases much easier."

"One of the issues with the solution is that you cannot drop write like you're able to in MongoDB and MySQL, where you can join tables."

"We found some issues with the batch inserts when the data volume is large."

"There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using the Java SDK."

"Maybe they can improve their performance in data fetching from a high volume of data sets."

More Cassandra cons

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

"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."

Pricing and Cost Advice

"We pay for a license."

"I don't have the specific numbers on pricing, but it was fairly priced."

"We are using the open-source version of Cassandra, the solution is free."

"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."

"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."

"I use the tool's open-source version."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Comms Service Provider

Construction Company

Performing Arts

University

14%

Comms Service Provider

12%

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	14

No data available

Questions from the Community

What is your experience regarding pricing and costs for Cassandra?

The pricing for Cassandra is a little bit high, so it would be better for our community services if they consider community pricing for any non-profit organization like an NGO or other things. It w...

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What needs improvement with Cassandra?

Regarding areas of improvement for Cassandra, currently, we are not facing significant issues. Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProx...

See all answers

What is your primary use case for Cassandra?

My use case for Cassandra is for a document and other unstructured data management system as well as structured data for ultra-poor member community edition, community members' PII information, so ...

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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

ClickHouse vs Cassandra

Compared 7% of the time

MongoDB Enterprise Advanced vs Cassandra

Compared 7% of the time

DataStax Enterprise vs Cassandra

Compared 6% of the time

ScyllaDB vs Cassandra

Compared 5% of the time

Cloudera Distribution for Hadoop vs Cassandra

Compared 5% of the time

More Cassandra Competitors

MongoDB Atlas vs Google Cloud Firestore

Compared 17% of the time

Redis vs Google Cloud Firestore

Compared 13% of the time

Amazon DynamoDB vs Google Cloud Firestore

Compared 13% of the time

MongoDB Enterprise Advanced vs Google Cloud Firestore

Compared 9% of the time

ScyllaDB vs Google Cloud Firestore

Compared 2% of the time

More Google Cloud Firestore Competitors

Product Reports

Buyer's Guide

Cassandra

August 2026

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Buyer's Guide

NoSQL Databases

August 2026

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Also Known As

No data available

Firestore

Overview

Cassandra is a distributed and scalable database management system used for real-time data processing.

It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model.

It is commonly used in finance, e-commerce, and social media industries.

Apache

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

1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota

Information Not Available

Buyer's Guide

Cassandra vs. Google Cloud Firestore

June 2026

Free Report: Cassandra vs. Google Cloud Firestore

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