Google Cloud Bigtable vs InfluxDB comparison

Why PeerSpot?

Google and InfluxData are both solutions in the Non-Relational Databases category. Google is ranked #3 with an average rating of 8.0, while InfluxData is ranked #1 with an average rating of 8.1. Google holds a 6.7% mindshare in NRD, compared to InfluxData’s 6.9% 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

2,260 Views
791 Comparison Views

100% willing to recommend

InfluxDB

Read 20 InfluxDB reviews

8,832 Views
707 Comparison Views

100% willing to recommend

Google Cloud Bigtable

InfluxDB

Comparison Buyer's Guide

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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.

To learn more, read our detailed Google Cloud Bigtable vs. InfluxDB Report (Updated: November 2026).

Buyer's Guide

Google Cloud Bigtable vs. InfluxDB

November 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

3rd

Average Rating

8.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (9th)

InfluxDB

Ranking in Non-Relational Databases

1st

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Open Source Databases (7th), Network Monitoring Software (16th), IT Infrastructure Monitoring (14th), NoSQL Databases (7th)

Mindshare comparison

As of November 2026, in the Non-Relational Databases category, the mindshare of Google Cloud Bigtable is 6.7%, up from 4.6% compared to the previous year. The mindshare of InfluxDB is 6.9%, down from 7.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Non-Relational Databases Mindshare Distribution
Product	Mindshare (%)
InfluxDB	6.9%
Google Cloud Bigtable	6.7%
Other	86.4%

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.

Read full review

Mugeesh Husain

Team Lead, Software at Energybox

Time series data has been managed efficiently for IoT sensors but reporting still needs improvement

How InfluxDB can be improved is relevant since for Energy Box, we face certain issues. We have customers worldwide, including the United States, United Kingdom, and Europe, but when we expanded to China two years ago, they indicated that they do not support the cloud version there. Our application is built on the cloud, which required us to create a separate application for Azure China, which was painful for us. The second issue involves frequent version changes. For example, we started with version one, transitioned to version two, and I heard they are considering InfluxDB version three, reverting to earlier practices. InfluxDB should improve without completely changing its approach. Now we have to redo our work for InfluxDB version three. Regarding needed improvements, the documentation is sufficient, but pricing presents a challenge. InfluxDB has standard pricing, which is acceptable for large companies. However, for startups in our position, they should provide special discounts so everyone can utilize it. The pricing should adapt as companies grow, which is a reasonable expectation.

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

"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."

"Bigtable is very user-friendly where streaming data is required."

"The most valuable feature is the backup and replication service."

"If you have a lot of data, it's really scalable and it's competitive."

"The solution is very stable; we've never experienced bugs or glitches, we haven't had crashes, and it works well and as expected 100% of the time."

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

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

"Stability-wise, it is a simple solution. I rate the solution's stability a ten out of ten."

More Google Cloud Bigtable pros

"While I would rate InfluxDB a ten on a scale of one to ten, users should be thoughtful about matching the engine to their specific needs."

"InfluxDB has played a key role in enhancing system reliability and supporting our goal of delivering a seamless, high-quality product."

"InfluxDB positively impacts my organization because I have optimized my database storage, and by using powerful queries, I am able to find my data logs efficiently and also manage logging."

"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."

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

"The solution is very powerful."

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

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

More InfluxDB pros

Cons

"Pricing-wise, I find GCP can be a little costly, so I would rate it a 3.5."

"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 cost of this product is too expensive."

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

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

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

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

"The program is rather expensive - it depends on the size of your data."

More Google Cloud Bigtable cons

"The solution doesn't have much of a user interface."

"However, I do wish the documentation and community resources around Flux were more extensive and beginner-friendly."

"InfluxDB can be improved by addressing issues such as performance drops, queries being more difficult to understand, and its high memory usage."

"The error logging capability can be improved because the logs are not very informative."

"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."

"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."

"Sometimes, when we write too much data within a minute, the data count becomes excessive, reaching perhaps 100,000 or 500,000 data points, and InfluxDB gives a timeout exception, which we must handle in our application."

"I haven't seen a return on investment; unfortunately, I cannot share relevant metrics such as time saved, fewer employees needed, or money saved."

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."

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

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

"The tool is an open-source product."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Comms Service Provider

11%

Manufacturing Company

Outsourcing Company

Comms Service Provider

12%

Manufacturing Company

10%

Financial Services Firm

10%

Outsourcing Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	9

Questions from the Community

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 advice do you have for others considering Google Cloud Bigtable?

Regarding integration with Google Cloud Bigtable and other Google Cloud services such as Dataflow, Dataproc, and BigQuery, we have not done that integration, but there are connectors available. Som...

See all answers

What needs improvement with InfluxDB?

If the dashboarding facility can be improved in terms of the visualization parameters and the amount of support available from the community, as well as having smarter alerts to send those alerts t...

See all answers

What is your primary use case for InfluxDB?

My main use case for InfluxDB is to inject all my performance data and visualize it as a data source into Grafana. My data comes from JMeter from a plugin, which is inserting data to InfluxDB, and ...

See all answers

What advice do you have for others considering InfluxDB?

It is good to start with InfluxDB to stabilize your data, visualize your data, and have the data stored on a time-series basis. I would recommend everyone to get into InfluxDB and start using it. T...

See all answers

Comparisons

Amazon DynamoDB vs Google Cloud Bigtable

Compared 15% of the time

Microsoft Azure Cosmos DB vs Google Cloud Bigtable

Compared 13% of the time

Amazon Keyspaces vs Google Cloud Bigtable

Compared 11% of the time

MongoDB Enterprise Advanced vs Google Cloud Bigtable

Compared 7% of the time

Oracle NoSQL Database Cloud vs Google Cloud Bigtable

Compared 6% of the time

More Google Cloud Bigtable Competitors

PostgreSQL vs InfluxDB

Compared 6% of the time

MongoDB Enterprise Advanced vs InfluxDB

Compared 5% of the time

MySQL vs InfluxDB

Compared 5% of the time

VictoriaMetrics vs InfluxDB

Compared 5% of the time

ClickHouse vs InfluxDB

Compared 5% of the time

More InfluxDB Competitors

Product Reports

Buyer's Guide

Google Cloud Bigtable

October 2026

Download Google Cloud Bigtable product report

Buyer's Guide

InfluxDB

October 2026

Download InfluxDB product report

Also Known As

Google BigTable, 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 offers efficient time series data handling with fast writes, optimized storage, and seamless Grafana integration, making it ideal for high-volume applications like crypto trading and real-time monitoring. Its SQL-like query language and cloud-based options enhance user experience and system scalability.

InfluxDB stands out with its ability to handle high-volume time series data efficiently, thanks to fast data writes and efficient compression. It is highly scalable, providing clustering features for improved performance management. Integration with Grafana enhances visualization, making it easier to analyze complex data through a user-friendly SQL-like query language. Real-time monitoring, historical data access, and proactive alerts enhance system reliability. Its cloud offering simplifies maintenance and operations, making it attractive for users seeking an efficient time series database.

What are the key features of InfluxDB?

Fast Data Writes: Ensures quick data handling necessary for real-time applications.
Optimized Storage: Reduces space requirements and improves performance.
Efficient Compression: Supports high-volume data like time series, enhancing throughput.
Grafana Integration: Supports seamless visualization and analysis of data.
SQL-like Query Language: Simplifies complex data operations with user-friendly queries.

What benefits or ROI can users expect?

Enhanced Performance: Fast processing and optimized storage for better application responsiveness.
Scalability: Clustering features ensure adaptability to growing data volumes.
Improved Reliability: Proactive alerts and real-time monitoring prevent system downtimes.
Ease of Use: SQL-like language and intuitive visuals improve user accessibility.

InfluxDB is applied extensively in industries handling high-volume data needs. For sensor data storage in production environments, it offers reliable performance. Its role in server management metrics and performance monitoring is crucial for maintaining optimal operations. In crypto market data collection, it supports fast-paced trading environments. Industries use it for real-time tracking, like maritime vessel monitoring, leveraging its rapid data handling and visualization capabilities. Its applications also extend to IoT environments, API performance tracking, HVAC systems, and log aggregation, often integrating with Prometheus, Docker, and AWS to enhance system capabilities.

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

Google Cloud Bigtable vs. InfluxDB

November 2026

Free Report: Google Cloud Bigtable vs. InfluxDB

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