Google Cloud Bigtable vs InfluxDB comparison

Google and InfluxData are both solutions in the Non-Relational Databases category. Google is ranked #6 with an average rating of 9.0, while InfluxData is ranked #2 with an average rating of 8.9. Google holds a 5.0% mindshare in NRD, compared to InfluxData’s 6.4% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 100% of InfluxData users who would recommend it.

Google Cloud Bigtable

Read 9 Google Cloud Bigtable reviews

776 Views
186 Comparison Views

100% willing to recommend

InfluxDB

Read 16 InfluxDB reviews

3,182 Views
159 Comparison Views

100% willing to recommend

Google Cloud Bigtable

InfluxDB

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Executive SummaryUpdated on Jan 15, 2026

InfluxDB and Google Cloud Bigtable compete in the realm of time series and managed databases, respectively. While users favor Google Cloud Bigtable for its advanced features and robust managed service capabilities, InfluxDB is recognized for its pricing and support.

Features: InfluxDB is noted for its time series capabilities, integration with tools like Grafana, and powerful performance under heavy workloads. Its SQL-like query language and efficient data storage make it suitable for use cases such as crypto trading and monitoring. Google Cloud Bigtable is valued for its low latency, seamless query functionality, and fast computation, enhanced by its strong security features, which aids users transitioning to cloud infrastructure.

Room for Improvement: InfluxDB needs improvements in error logging, data backup capabilities, and high availability support. Better documentation and integration with Chronograf are also required. Google Cloud Bigtable could benefit from clearer competition mapping and the integration of LLMs for advanced use cases.

Ease of Deployment and Customer Service: InfluxDB supports on-premises and various cloud deployments but depends heavily on community forums for support, indicating gaps in direct customer service. Google Cloud Bigtable, operating mainly in public and hybrid cloud environments, simplifies deployment as a managed service, though it lacks in direct customer support.

Pricing and ROI: InfluxDB's open-source model makes it accessible, though recent price hikes concern premium plan users, yet they appreciate time savings as an ROI. Google Cloud Bigtable offers a pay-as-you-go model, potentially high in cost, but offers better rates for longer commitments, prompting users to seek cost optimization even as they acknowledge its robust managed services.

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Non-Relational Databases

January 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

Google Cloud Bigtable

Ranking in Non-Relational Databases

6th

Average Rating

8.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (10th)

InfluxDB

Ranking in Non-Relational Databases

2nd

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Open Source Databases (8th), Network Monitoring Software (23rd), IT Infrastructure Monitoring (21st), NoSQL Databases (6th)

Mindshare comparison

As of January 2026, in the Non-Relational Databases category, the mindshare of Google Cloud Bigtable is 5.0%, up from 4.1% compared to the previous year. The mindshare of InfluxDB is 6.4%, up from 3.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Non-Relational Databases Market Share Distribution
Product	Market Share (%)
InfluxDB	6.4%
Google Cloud Bigtable	5.0%
Other	88.6%

Non-Relational Databases

Featured Reviews

Akash Shanker

Team Lead at a financial services firm with 5,001-10,000 employees

Consistent performance and seamless cloud integration enhance analytics capabilities while reducing management complexity

One point for improvement in Google Cloud Bigtable is that people have confusion in mapping. There are many similar products available, and Google has managed services for similar products as well. It would be easier if the journey of knowing when to use Google Cloud Bigtable versus other Cloud SQL and alternates such as Cloud Spanner is made clearer for users. Regarding additional functionality for Google Cloud Bigtable, I am uncertain if LLMs can be integrated or if Google Cloud Bigtable can act as a vector store for LLM-specific use cases where we are interacting or using generative AI capabilities.

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Henning Jansen

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.

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 most valuable feature is the backup and replication service."

"This solution is much more scalable than more traditional databases - at least the ones we are aware of."

"It's very user-friendly where streaming data is required."

"The main benefit I receive from Google Cloud Bigtable is the managed service part."

"The solution is very convenient."

"Bigtable is faster than other competitors in the market. It helps us collate all the data, and the security features are great. The latency is low, and the computation speed is fantastic. Bigtable is also a managed service, so you don't have to worry about anything aside from analyzing the data ingested."

"I like the drive and the support of this program."

"Scalability-wise, I rate the solution a ten out of ten."

More Google Cloud Bigtable pros

"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."

"It helps me maintain my solution easily because it is very reliable, so we didn't face any performance issues or crashes regarding our queries; we can get the results very fast."

"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana."

"The solution is very powerful."

"InfluxDB works as expected with excellent scalability and stability, which is critical for our application."

"The most valuable feature of the solution is we can use InfluxDB to integrate with and plug into any other tools."

"In our case, it started with a necessity to fill the gap that we had in monitoring. We had very reactive monitoring without trend analysis and without some advanced features. We were able to implement them by using a time series database. We are able to have all the data from applications, logs, and systems, and we can use a simple query language to correlate all the data and make things happen, especially with monitoring. We could more proactively monitor our systems and our players' trends."

"The most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."

More InfluxDB pros

Cons

"When it comes to complex queries, a user can't get any help from a drop-down box and pick columns. It would be great if some improvements could be made in the aforementioned area concerning the solution."

"The lagging problem of the product I face is an area of concern where improvements are required."

"The pricing of the solution needs to be improved."

"I've used Bigtable for about three or four years."

"The cost of this product is too expensive."

"Improvement should be made as per customer recommended and requirements."

"This product needs better security and transparency, and the price should be reduced."

"However, I cannot ignore the challenges I faced while configuring the database with my message brokers, whether Rabbit or Kafka, because the documentation is not properly provided."

"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."

"The solution's UI can be more user-friendly."

"InfluxDB can improve by including new metrics on other technologies. They had some changes recently to pool data from endpoints but the functionality is not good enough in the industry."

"One area for improvement is the querying language. InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying."

"The interface of InfluxDB is so complex and should be made easier for non-technical people."

"I've tried both on-premises and cloud-based deployments, and each has its limitations."

"If it gets a little bit more into the metric side, then it would really be great, similar to Prometheus."

More InfluxDB cons

Pricing and Cost Advice

"I would like to see better pricing. It is not too expensive, but it isn't cheap either."

"The tool is an open-source product."

"We are using the open-source version of InfluxDB."

"InfluxDB recently increased its price. It is very expensive now."

"InfluxDB is open-source, but there are additional costs for scaling."

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Top Industries

By visitors reading reviews

Financial Services Firm

10%

Computer Software Company

Manufacturing Company

Educational Organization

Manufacturing Company

10%

Financial Services Firm

Computer Software Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	3
Large Enterprise	8

Questions from the Community

What do you like most about Google Cloud Bigtable?

Scalability-wise, I rate the solution a ten out of ten.

See all answers

What needs improvement with Google Cloud Bigtable?

See all answers

What is your primary use case for Google Cloud Bigtable?

My main use case for Google Cloud Bigtable is mainly for advertisement-related analytics-related use cases.

See all answers

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 ...

See all answers

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...

See all answers

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...

See all answers

Comparisons

Microsoft Azure Cosmos DB vs Google Cloud Bigtable

Compared 25% of the time

Amazon DynamoDB vs Google Cloud Bigtable

Compared 18% of the time

MongoDB Enterprise Advanced vs Google Cloud Bigtable

Compared 15% of the time

Amazon Keyspaces vs Google Cloud Bigtable

Compared 12% of the time

Oracle Berkeley DB vs Google Cloud Bigtable

Compared 5% of the time

More Google Cloud Bigtable Competitors

ClickHouse vs InfluxDB

Compared 18% of the time

MongoDB Enterprise Advanced vs InfluxDB

Compared 11% of the time

SQLite vs InfluxDB

Compared 9% of the time

PostgreSQL vs InfluxDB

Compared 7% of the time

MySQL vs InfluxDB

Compared 5% of the time

More InfluxDB Competitors

Product Reports

Buyer's Guide

Managed NoSQL Databases

January 2026

Download Google Cloud Bigtable product report

Buyer's Guide

InfluxDB

January 2026

Download InfluxDB product report

Also Known As

Google BigTable

No data available

Overview

Google Cloud Bigtable provides large data capacity, fast computation speed, and robust security for efficient data management. It supports seamless querying and integration, making it suitable for users transitioning to the cloud.

Google Cloud Bigtable is a managed service offering that facilitates efficient data handling through its high-performance capabilities and compatibility with other NoSQL databases. It is highly valued for its ability to manage and analyze large datasets, offering features like backup and replication, and is known for being faster than many competitors. Despite its strengths, users express concerns over its pricing, querying complexity, occasional performance lag, and difficulty in choosing between Bigtable and other services. There's also interest in its potential for integration with emerging technologies like LLMs for generative AI applications.

What are the key features of Google Cloud Bigtable?

Large Data Capacity: Supports immense volumes of data, essential for big data initiatives.
Seamless Querying: Queries large datasets with efficiency and speed.
Backup and Replication: Provides data reliability and easy recovery.
Low Latency: Ensures fast response times for queries and operations.
High Computation Speed: Offers rapid data processing capabilities.

What benefits should users look for in reviews?

Data Security: Provides robust security for sensitive data.
Ease of Analysis: Simplifies the process of collating and analyzing data.
Cloud Integration: Compatible with other NoSQL databases, aiding cloud transitions.
Fast Performance: Noted for being quicker than many alternatives.

Industries implement Google Cloud Bigtable for data management tasks such as managing large datasets, resolving production issues, and generating insights through dashboards. It is used in advertising analytics, client data evaluation in Power BI reports, and some automotive clients employ it for specialized needs, integrating business data into Google's ecosystem for efficient analysis.

Google

InfluxDB is open-source software that helps developers and enterprises alike to collect, store, process, and visualize time series data and to build next-generation applications. InfluxDB provides monitoring and insight on IoT, application, system, container, and infrastructure quickly and easily without complexities or compromises in scale, speed, or productivity.

InfluxDB has become a popular insight system for unified metrics and events enabling the most demanding SLAs. InfluxDB is used in just about every type of industry across a wide range of use cases, including network monitoring, IoT monitoring, industrial IoT, and infrastructure and application monitoring.

InfluxDB offers its users:

Infrastructure and application monitoring: Collect, process, and analyze real-time data from edge devices to help optimize distributed infrastructure.

IoT monitoring and analytics: InfluxDB is designed to store large volumes of time series data and quickly perform real-time analysis on that data. Gain insights from all the sensor data and use the collected data to create and perform automated tasks.

Network monitoring: Manage responsive and high-performing networks with widely distributed resources.

InfluxDB Benefits

There are several benefits to using InfluxDB . Some of the biggest advantages the solution offers include:

APIs and ready toolset: InfluxDB can be accessed via a set of powerful tools enabling users to get started quickly, with less programming required. This includes a REST API, extensive client libraries, a wide variety of open-source integrations, and Flux - a functional data scripting language for querying, analysis, and events. The InfluxDB API can be used to write data from edge devices to the InfluxDB instance

Time series engine: Get any data - events, logs, traces - from any edge device - systems, sensors, queues, databases, and networks. This data is stored in a powerful and high-performing engine capable of ingesting millions of data points per second.

Community: InfluxDB has a large community of cloud and open-source developers ready to assist users.

Ready-made templates: Use InfluxDB Templates, a set of tools with a packager and other ready monitoring solutions. These tools allow users to share their monitoring expertise with coworkers and other community members around the world. The Templates gallery offers available templates for some of the most popular tools and applications.

Enhanced UI: InfluxDB’s UI includes an explorer, dashboarding tools, and a script editor. Use it to easily browse the collected metric and event data and apply common transformations. The dashboarding tool comes with a variety of visualization options that help users view insights from the data. The script editor assists users to quickly master Flux with easily accessible examples, auto-completion, and real-time syntax checking.

Reviews from Real Users

InfluxDB stands out among its competitors for a number of reasons. Two major ones are its flexible integration options and its data aggregation feature.

Shalauddin Ahamad S., a software engineer at a tech services company, notes, “The most valuable features are aggregating the data and the integration with Grafana for monitoring.”

InfluxData

Sample Customers

Cognite, Dow Jones, Loblaw Digital

ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo

Buyer's Guide

Non-Relational Databases

January 2026

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