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Google Cloud Firestore vs InfluxDB comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 7, 2025

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

Google Cloud Firestore
Ranking in NoSQL Databases
13th
Average Rating
8.4
Reviews Sentiment
5.4
Number of Reviews
3
Ranking in other categories
Managed NoSQL Databases (11th)
InfluxDB
Ranking in NoSQL Databases
6th
Average Rating
8.2
Reviews Sentiment
6.4
Number of Reviews
16
Ranking in other categories
Non-Relational Databases (2nd), Open Source Databases (8th), Network Monitoring Software (23rd), IT Infrastructure Monitoring (21st)
 

Mindshare comparison

As of January 2026, in the NoSQL Databases category, the mindshare of Google Cloud Firestore is 2.7%, up from 0.4% compared to the previous year. The mindshare of InfluxDB is 5.9%, down from 11.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Market Share Distribution
ProductMarket Share (%)
InfluxDB5.9%
Google Cloud Firestore2.7%
Other91.4%
NoSQL Databases
 

Featured Reviews

PrathapSankar - PeerSpot reviewer
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.
HJ
Senior System Developer at Norled
Tracking vessel movements seamlessly with continuous data collection and query execution
We mainly write and read data from InfluxDB. We perform very simple queries to do time series on a key, which is a unique ID of the vessel. We will select a vessel and select from time to time stamp. That’s what we do. InfluxDB’s core functionality is crucial as it allows us to store our data and execute queries with excellent response times.

Quotes from Members

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

Pros

"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."
"The most valuable features are Firestore's query capabilities and its real-time syncing functionality."
"InfluxDB's best feature is that it's a cloud offering. Other good features include its time-series DB, fast time-bulk queries, and window operations."
"InfluxDB works as expected with excellent scalability and stability, which is critical for our application."
"InfluxDB reduced my time to show data without any interruption, also reducing the number of people needed to manage the project; it is very good to have InfluxDB in my project."
"The most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."
"InfluxDB works as expected with excellent scalability and stability, which is critical for our application."
"The solution is very powerful."
"The most valuable features are aggregating the data and integration with Graphana for monitoring."
"My advice for others looking into using InfluxDB is to use it the same way I did, because it is really stable, easy and friendly to use, and it is a great product overall."
 

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."
"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."
"The error logging capability can be improved because the logs are not very informative."
"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."
"In terms of features that I would like to see or have, in the community version, some features are not available. I would like to have clustering and authentication in the community version."
"I haven't seen a return on investment; unfortunately, I cannot share relevant metrics such as time saved, fewer employees needed, or money saved."
"If it gets a little bit more into the metric side, then it would really be great, similar to Prometheus."
"InfluxDB cannot be used for high-cardinality data. It's also difficult and time-consuming to write queries, and there are some issues with bulk API."
"InfluxDB is generally stable, but we've encountered issues with the configuration file in our ticket stack. For instance, a mistake in one of the metrics out of a hundred KPIs can disrupt data collection for all KPIs. This happens because the agent stops working if there's an issue with any configuration part. To address this, it is essential to ensure that all configurations are part of the agent's EXE file when provided. This makes it easier to package the agent for server installation and ensures all KPIs are available from the server. Additionally, the agent cannot encrypt and decrypt passwords for authentication, which can be problematic when monitoring URLs or requiring authentication tokens. This requires additional scripting and can prolong service restart times."
"I've tried both on-premises and cloud-based deployments, and each has its limitations."
 

Pricing and Cost Advice

Information not available
"InfluxDB is open-source, but there are additional costs for scaling."
"The tool is an open-source product."
"InfluxDB recently increased its price. It is very expensive now."
"We are using the open-source version of InfluxDB."
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Top Industries

By visitors reading reviews
University
13%
Government
12%
Comms Service Provider
12%
Manufacturing Company
10%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise3
Large Enterprise8
 

Questions from the Community

What needs improvement with Google Cloud Firestore?
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 hand...
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...
What do you like most about InfluxDB?
InfluxDB is a database where you can insert data. However, it would be best if you had different components for alerting, data sending, and visualization. You need to install tools to collect data ...
What needs improvement with InfluxDB?
Although I didn't encounter any significant challenges, I think that if there was a NoSQL version of InfluxDB, that would also help because I have used the SQL version. I wish InfluxDB were also av...
What is your primary use case for InfluxDB?
My main use case for InfluxDB involved working on a LEO satellite KPI monitoring application, where I gathered latency, throughput, packet loss, jitter, and various types of network data for severa...
 

Overview

 

Sample Customers

Information Not Available
ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo
Find out what your peers are saying about Google Cloud Firestore vs. InfluxDB and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.