Grafana Enterprise Stack vs InfluxDB comparison

Why PeerSpot?

Grafana Labs and InfluxData are both solutions in the IT Infrastructure Monitoring category. Grafana Labs is ranked #19 with an average rating of 8.6, while InfluxData is ranked #12 with an average rating of 8.1. Grafana Labs holds a 0.8% mindshare in IM, compared to InfluxData’s 0.7% mindshare. Additionally, 92% of Grafana Labs users are willing to recommend the solution, compared to 100% of InfluxData users who would recommend it.

Grafana Enterprise Stack

Read 14 Grafana Enterprise Stack reviews

2,890 Views
2,861 Comparison Views

92% willing to recommend

InfluxDB

Read 20 InfluxDB reviews

7,775 Views
2,410 Comparison Views

100% willing to recommend

Grafana Enterprise Stack

InfluxDB

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

InfluxDB and Grafana Enterprise Stack both serve in the data monitoring and analysis category, with Grafana potentially having the upper hand due to its advanced visualization features.

Features: InfluxDB includes a high-performance time-series database, efficient storage of time-stamped data, and fast querying capabilities. Grafana Enterprise Stack offers interactive dashboards, robust alerting mechanisms, and extensive visualization options.

Room for Improvement: InfluxDB could improve in scalability, integration with other systems, and user interface sophistication. Grafana Enterprise Stack may enhance its deployment complexity, cost management, and user onboarding process.

Ease of Deployment and Customer Service: InfluxDB offers a straightforward deployment process with strong support presence. Grafana Enterprise Stack has a more complex deployment model but provides comprehensive support resources.

Pricing and ROI: InfluxDB is noted for its cost-effectiveness and substantial ROI in handling time-series data. Grafana Enterprise Stack incurs higher initial costs but offers significant long-term benefits through its rich feature set.

To learn more, read our detailed Grafana Enterprise Stack vs. InfluxDB Report (Updated: September 2026).

Buyer's Guide

Grafana Enterprise Stack vs. InfluxDB

September 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

Grafana Enterprise Stack

Ranking in IT Infrastructure Monitoring

19th

Average Rating

8.4

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

InfluxDB

Ranking in IT Infrastructure Monitoring

12th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Non-Relational Databases (1st), Open Source Databases (7th), Network Monitoring Software (14th), NoSQL Databases (6th)

Mindshare comparison

As of September 2026, in the IT Infrastructure Monitoring category, the mindshare of Grafana Enterprise Stack is 0.8%, down from 1.2% compared to the previous year. The mindshare of InfluxDB is 0.7%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Mindshare Distribution
Product	Mindshare (%)
InfluxDB	0.7%
Grafana Enterprise Stack	0.8%
Other	98.5%

IT Infrastructure Monitoring

Featured Reviews

Rajan M

Test Lead at Calpine Group

Efficient monitoring and alerting enhance operational insights

With Grafana Enterprise Stack, we can identify issues that New Relic cannot help with. While New Relic requires purchase and supports frontend and backend components, Grafana Enterprise Stack helps identify where issues are occurring. When we need to deep dive into issues, we use New Relic to trace transactions and determine where maximum impact occurs, whether in core size, DB side, or frontend components that slow performance. We first evaluate with Grafana Enterprise Stack, then move to New Relic if we identify performance degradation, such as DB queries taking too much time. Grafana Enterprise Stack responds to queries within 6 to 12 hours. They contact users through email immediately when available. Similarly, New Relic follows the same pattern, responding immediately when requests are raised and resolving issues promptly.

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

"It is truly reliable."

"The tool's most valuable feature is real-time monitoring. It helps in securing the application or the node by allowing us to monitor and manage resource consumption during peak times. For instance, from 10 AM to 2 PM, we may experience high memory utilization. It helps us to solve these issues."

"The dashboards are pretty good."

"Compared to other packages, Grafana Enterprise Stack is user-friendly and easy to configure quickly."

"The ability to graph actual, live, or on-the-fly activity is valuable; it is an added value to work with Grafana Enterprise Stack and to display results or logs, which are huge in nature, in graphical characters."

"The most valuable features of Grafana for data visualization are its ability to create intuitive dashboards and its wide range of visualization options like graphs, charts, and tables."

"The most valuable features for us are dashboards; we can dashboard anything that we can think of, we can dashboard and measure."

"Grafana Enterprise Stack is a powerful open-source platform with robust capabilities in data visualizations, dashboard creations, and alerting."

More Grafana Enterprise Stack pros

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

"As a time series database, it is very powerful and lightweight, and it can deal with heavy workloads very easily."

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

"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."

"Based on InfluxDB, we have great analytics produced by our SRE team, and with that, we have an alerting and monitoring system in place."

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

"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 are aggregating the data and integration with Graphana for monitoring."

More InfluxDB pros

Cons

"I have encountered occasional issues with false inputs or incorrect data in Grafana."

"The connection between metrics, logs, and traces could be improved. Currently, one needs to ingest labels and timestamps for them to be connected, however, drilling down sometimes takes time."

"They could use more small tutorials to explain a bit about how Grafana works."

"The connection between metrics, logs, and traces could be improved."

"Productivity has been improved with the use of Grafana Enterprise Stack, but cost savings or return on investment specifics are not clear."

"In terms of what Grafana provides, it just provides the charting tools. Everything else is third-party."

"Grafana Enterprise Stack is complex and not easy or simple."

"I find Grafana really hard to configure. It's difficult to build the dashboard, and it's non-intuitive. In my opinion, it's very difficult to work with Grafana."

More Grafana Enterprise Stack cons

"Customer support is fair enough but can be improved."

"I chose an 8 out of 10 because there is room for improvement, such as regarding backups and enhanced security through other types of authentication or encrypted data in TLS."

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

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

"InfluxDB can be improved in several ways. The Flux query language needs to be learned, but if there were something similar to SQL or previous options, it would be much easier for users without imposing a learning curve."

"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."

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

"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."

More InfluxDB cons

Pricing and Cost Advice

"I use the tool's free license."

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

"The tool is an open-source product."

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

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Top Industries

By visitors reading reviews

Energy/Utilities Company

17%

Financial Services Firm

12%

Manufacturing Company

10%

Computer Software Company

Comms Service Provider

11%

Financial Services Firm

10%

Manufacturing Company

10%

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	1
Large Enterprise	7

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

Questions from the Community

What needs improvement with Grafana Enterprise Stack?

I am trying to think about its advanced alerting features; we do not use it too much for that. We do get it to report through to our help desk system and if a threshold gets broken, then a ticket i...

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What is your primary use case for Grafana Enterprise Stack?

I have switched to a different suite, focusing on customer edge solutions that are mostly Fortinet. To manage it, I use Grafana Enterprise Stack and a whole bunch of tools that we wrote ourselves. ...

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What advice do you have for others considering Grafana Enterprise Stack?

We use Grafana Enterprise Stack in all of our clients. I rate this product an eight out of ten.

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...

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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

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Compared 7% of the time

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Compared 6% of the time

LiveNX vs Grafana Enterprise Stack

Compared 4% of the time

Checkmk vs Grafana Enterprise Stack

Compared 4% of the time

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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

SQLite vs InfluxDB

Compared 5% of the time

ClickHouse vs InfluxDB

Compared 5% of the time

More InfluxDB Competitors

Product Reports

Buyer's Guide

Grafana Enterprise Stack

September 2026

Download Grafana Enterprise Stack product report

Buyer's Guide

InfluxDB

September 2026

Download InfluxDB product report

Overview

Grafana Enterprise Stack is a powerful tool for real-time data monitoring and visualization. With its flexible and scalable features, it is widely used for creating dashboards, analyzing metrics, and gaining insights into infrastructure, databases, and applications.

Its valuable features include powerful visualization capabilities, extensive data source integrations, customizable dashboards, a user-friendly interface, and a robust alerting system. Users appreciate its flexibility, scalability, and ability to integrate with different data sources, making it suitable for a wide range of industries and use cases.

Grafana Labs

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

1. Uber 2. PayPal 3. eBay 4. Sony 5. Red Hat 6. IBM 7. Cisco 8. Adobe 9. Expedia 10. Booking.com 11. Airbnb 12. LinkedIn 13. Twitter 14. Netflix 15. Spotify 16. Pinterest 17. Slack 18. GitLab 19. Docker 20. Atlassian 21. Salesforce 22. Microsoft 23. Google 24. Amazon 25. Facebook 26. Apple 27. Intel 28. Oracle 29. SAP 30. VMware 31. HP 32. Dell

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

Buyer's Guide

Grafana Enterprise Stack vs. InfluxDB

September 2026

Free Report: Grafana Enterprise Stack vs. InfluxDB

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