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Elastic Observability vs InfluxDB comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 9, 2024

Review summaries and opinions

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

ROI

Sentiment score
6.5
Elastic Observability enhances cost-effectiveness by reducing incidents, automating fixes, and visualizing cloud operations, saving time and resources.
Sentiment score
6.1
InfluxDB improved operational efficiency by automating monitoring, reducing incident detection time, and reallocating analytics resources to higher-value tasks.
Elastic Observability has saved us time as it's much easier to find relevant pieces across the system in one screen compared to our own software, and it has saved resources too since the same resources can use less time.
Technology Consultant at Hybrid software
These improvements translated into both cost savings and better service reliability, directly impacting business outcomes.
Senior Data Engineer at a university with 201-500 employees
It simplifies processes and reduces the need for additional employees.
Team Lead, Software at Energybox
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.
Student at a educational organization with 1,001-5,000 employees
 

Customer Service

Sentiment score
7.6
Elastic Observability customers appreciate their helpful support, quick responses, and valuable documentation, despite some challenges in complex issue resolution.
Sentiment score
6.2
Users find forums helpful, but premium support could improve follow-up; enterprise users appreciate expert support despite data challenges.
Elastic support really struggles in complex situations to resolve issues.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Their excellent documentation typically helps me solve any issues I encounter.
Technology Consultant at Hybrid software
They get on a call, resolve issues, and handle everything efficiently.
DevOps Engineer at Elevenxcapital
The InfluxDB support team was knowledgeable and helped us troubleshoot complex problems efficiently.
Senior Data Engineer at a university with 201-500 employees
Obtaining that quantity of data directly from InfluxDB is quite challenging, and that is why we ask for help from the InfluxDB team to retrieve the data to avoid timeouts and those kinds of issues.
Team Lead, Software at Energybox
 

Scalability Issues

Sentiment score
7.2
Elastic Observability is praised for scalability and ease of deployment, despite potential complexities and internal process limitations.
Sentiment score
7.3
InfluxDB offers robust scalability for enterprise needs, effectively managing large data volumes and diverse environments with efficient performance.
I rate the scalability of Elastic Observability as a ten, as we have never seen issues even with a lot of data coming in from more customers, provided we have the appropriate configuration.
Technology Consultant at Hybrid software
Elastic Observability seems to have a good scale-out capability.
Chief Cloud Architect at a tech services company with 11-50 employees
Elastic Observability is easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
The main challenge with InfluxDB, which is common with all databases, was handling very high throughput systems and high throughput message flow.
Deployment Engineer at Derq
It can handle large volumes of time-series data and with high ingestion rates, making it suitable for enterprise-scale deployments.
Senior Data Engineer at a university with 201-500 employees
We’ve scaled on volume with seven years of continuous data without performance degradation.
Senior System Developer at Norled
 

Stability Issues

Sentiment score
8.2
Elastic Observability is stable and reliable, with high user ratings, efficiently handling large data volumes with proper configuration.
Sentiment score
8.0
InfluxDB is reliable and stable, though managing on-premises in non-cloud regions adds complexity; offers 99% uptime.
There are some bugs that come with each release, but they are keen always to build major versions and minor versions on time, including the CVE vulnerabilities to fix it.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Product Owner at Swisscom
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
Technology Consultant at Hybrid software
It serves as the backbone of our application, and its stability is crucial.
Senior System Developer at Norled
We have used it to support mission-critical systems with continuous data ingestion and real-time analytics.
Senior Data Engineer at a university with 201-500 employees
It is very stable, with no reliability or downtime in InfluxDB.
Student at a educational organization with 1,001-5,000 employees
 

Room For Improvement

Elastic Observability needs automation, AI, and customization improvements, addressing complex deployment, market presence, metrics, licensing, and usability issues.
InfluxDB's user experience needs improvement in interface, scalability, and security; enhancements in integration and advanced features are crucial.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
Senior Consultant at Skillfield
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Senior Technical Sales at a tech vendor with 1,001-5,000 employees
Some areas such as AI Ops still require data scientists to understand machine learning and AI, and it doesn't have a quick win with no-brainer use cases.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying.
Chief Technology Officer at Presta Agency
Having a SQL abstraction in InfluxDB could be beneficial, making it more accessible for teams that prefer querying with SQL-style syntax.
Senior System Developer at Norled
It could include automated backup and a monitoring solution for InfluxDB or a script developed by a REST API.
Network engineer at a energy/utilities company with 10,001+ employees
 

Setup Cost

Elastic Observability provides competitive pricing, benefiting large enterprises with comprehensive licensing, but may be costly for smaller users.
InfluxDB's flexible pricing demands strategic planning to balance server needs and costs for both cloud and on-premises solutions.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Product Owner at Swisscom
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Chief Cloud Architect at a tech services company with 11-50 employees
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
Senior Consultant at Skillfield
We use the open-source version of InfluxDB, so it is free.
Senior System Developer at Norled
I find the cloud version pricing of InfluxDB reasonable, and for the on-premises solution we use in our service, we need to purchase licenses.
Team Lead, Software at Energybox
Pricing is based on data volume, retention, and features, which really makes it scalable but requires careful planning to avoid unexpected costs.
Senior Data Engineer at a university with 201-500 employees
 

Valuable Features

Elastic Observability excels with flexible integration, powerful search, scalability, real-time insights, affordability, and robust support, enhancing efficiency.
InfluxDB offers robust time-series features, seamless Grafana integration, real-time alerting, scalability, and efficient data handling for diverse applications.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
Chief Cloud Architect at a tech services company with 11-50 employees
the most valued feature of Elastic is its log analytics capabilities.
Senior Technical Sales at a tech vendor with 1,001-5,000 employees
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
Product Owner at Swisscom
The most important feature for us is low latency, which is crucial in building a high-performance engine for day trading.
Chief Technology Officer at Presta Agency
InfluxDB’s core functionality is crucial as it allows us to store our data and execute queries with excellent response times.
Senior System Developer at Norled
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.
Solutions Engineer at a tech vendor with 51-200 employees
 

Categories and Ranking

Elastic Observability
Ranking in IT Infrastructure Monitoring
16th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Application Performance Monitoring (APM) and Observability (10th), Log Management (14th), Container Monitoring (5th), Cloud Monitoring Software (11th)
InfluxDB
Ranking in IT Infrastructure Monitoring
15th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
19
Ranking in other categories
Non-Relational Databases (1st), Open Source Databases (7th), Network Monitoring Software (13th), NoSQL Databases (6th)
 

Mindshare comparison

As of April 2026, in the IT Infrastructure Monitoring category, the mindshare of Elastic Observability is 1.4%, down from 4.0% compared to the previous year. The mindshare of InfluxDB is 0.6%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Mindshare Distribution
ProductMindshare (%)
InfluxDB0.6%
Elastic Observability1.4%
Other98.0%
IT Infrastructure Monitoring
 

Featured Reviews

Mohammed-Abdelalim - PeerSpot reviewer
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities
In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.
Mugeesh Husain - PeerSpot reviewer
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
12%
Manufacturing Company
7%
Government
7%
Financial Services Firm
13%
Manufacturing Company
10%
Comms Service Provider
9%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise16
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise4
Large Enterprise8
 

Questions from the Community

What is your experience regarding pricing and costs for Elastic Observability?
The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...
What needs improvement with Elastic Observability?
After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...
What is your primary use case for Elastic Observability?
My use case for Elastic Observability is observability, as we upload our customers' data, including logs, and when there is an issue, we can analyze what went wrong.
What needs improvement with InfluxDB?
One thing I appreciate about InfluxDB is its balance between performance and ease of use, especially with Flux making complex queries accessible. However, I do wish the documentation and community ...
What is your primary use case for InfluxDB?
My main use case for InfluxDB has been mostly for monitoring and analyzing the time-series data related to system metrics, and also tracking logs and API performance. In my current role, I use it t...
What advice do you have for others considering InfluxDB?
My advice for others looking into using InfluxDB would be to clearly define their time-series data use cases upfront to ensure that InfluxDB fits their needs, especially for high-frequency metrics ...
 

Comparisons

 

Overview

 

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo
Find out what your peers are saying about Elastic Observability vs. InfluxDB and other solutions. Updated: April 2026.
886,349 professionals have used our research since 2012.