Elastic Observability vs InfluxDB comparison

Elastic and InfluxData are both solutions in the IT Infrastructure Monitoring category. Elastic is ranked #11 with an average rating of 8.2, while InfluxData is ranked #26 with an average rating of 9.0. Elastic holds a 3.1% mindshare in IM, compared to InfluxData’s 0.6% mindshare. Additionally, 88% of Elastic users are willing to recommend the solution, compared to 100% of InfluxData users who would recommend it.

Elastic Observability

Read 28 Elastic Observability reviews

9,578 Views
4,023 Comparison Views

88% willing to recommend

InfluxDB

Read 11 InfluxDB reviews

3,028 Views
545 Comparison Views

100% willing to recommend

Elastic Observability

InfluxDB

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

InfluxDB and Elastic Observability compete in the data monitoring and analysis category. Elastic Observability appears to have the upper hand due to its feature-rich platform and integrative capabilities.

Features: InfluxDB provides real-time analytics, time-series data processing, and specializes in handling time-stamped data effectively. Elastic Observability has robust search capabilities, seamless data visualization, and integrates various data sources.

Room for Improvement: InfluxDB could enhance its scalability for larger enterprises, improve integrative features, and expand its search functionality. Elastic Observability might work on simplifying its deployment process, offering quicker customer support, and making the overall interface more intuitive.

Ease of Deployment and Customer Service: InfluxDB is known for straightforward deployment, suitable for small to mid-sized projects and provides quick customer support. Elastic Observability offers a complex yet adaptable deployment, with extensive documentation and community resources for complex needs.

Pricing and ROI: InfluxDB has competitive setup costs, good ROI for small to medium applications, making it budget-friendly. Elastic Observability offers significant ROI with advanced capabilities, catering to those seeking long-term value despite potentially higher initial costs.

To learn more, read our detailed Elastic Observability vs. InfluxDB Report (Updated: September 2025).

Buyer's Guide

Elastic Observability vs. InfluxDB

September 2025

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Helped 867,676 peers since 2012

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

Elastic Observability

Ranking in IT Infrastructure Monitoring

11th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (7th), Log Management (16th), Container Monitoring (4th), Cloud Monitoring Software (6th)

InfluxDB

Ranking in IT Infrastructure Monitoring

26th

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Non-Relational Databases (2nd), Open Source Databases (9th), Network Monitoring Software (23rd), NoSQL Databases (5th)

Mindshare comparison

As of September 2025, in the IT Infrastructure Monitoring category, the mindshare of Elastic Observability is 3.1%, down from 5.0% compared to the previous year. The mindshare of InfluxDB is 0.6%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Market Share Distribution
Product	Market Share (%)
Elastic Observability	3.1%
InfluxDB	0.6%
Other	96.3%

IT Infrastructure Monitoring

Featured Reviews

Adelina Craciun

Product Owner at Swisscom

Customization enables tailored monitoring and alerting across departments

The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.

Read full review

DeepakR

Site Reliability Engineer(Observability) at Sapiens

An open-source database that can be used to insert data

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.

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

"Good design and easy to use once implemented."

"The solution is open-source and helps with back-end logging. It is also easy to handle."

"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."

"For full stack observability, Elastic is the best tool compared with any other tool ."

"It has always been a stable solution."

"I found Elk to be excellent for log analytics, security analytics, application code-level analytics, collaboration with DevOps teams, CI/CD, microservices, and Kubernetes, specifically cloud-native or cloud-specific tasks."

"Machine learning is the most valuable feature of this solution."

"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."

More Elastic Observability pros

"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 from servers. It must be installed on Windows or Linux servers. During installation, ensure that the configuration file is correct to prevent issues. Once data is collected, it can be sent to InfluxDB. For visualization, you can use open-source tools like Grafana."

"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."

"The user interface is well-designed and easy to use. It provides a clear overview of the data, making it simple to understand the information at hand."

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

"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."

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

More InfluxDB pros

Cons

"There's a steep learning curve if you've never used this solution before."

"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."

"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."

"One example is the inability to monitor very old databases with the newest version."

"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."

"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."

"The interface could be improved."

"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."

More Elastic Observability cons

"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."

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

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

"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."

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

"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."

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

More InfluxDB cons

Pricing and Cost Advice

"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."

"Pricing is one of those situations where the more you use it, the more you pay."

"The price of Elastic Observability is expensive."

"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."

"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."

"One needs to pay for the licenses, and it is an annual subscription model right now."

"Since we are a huge company, Elastic Observability is an affordable solution for us."

"We have been using the open-source version."

More Elastic Observability pricing and cost advice

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

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

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

"The tool is an open-source product."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

15%

Manufacturing Company

Government

Financial Services Firm

11%

Computer Software Company

11%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	4
Large Enterprise	16

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

Questions from the Community

What do you like most about Elastic Observability?

Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...

See all answers

What is your experience regarding pricing and costs for Elastic Observability?

The license for Elastic Observability is the same as for other uses; you pay for Elastic, and you can use it for various cases. Observability is actually cheaper compared to logs because you're not...

See all answers

What needs improvement with Elastic Observability?

I think they are working on the AI-based features, which are currently in technical preview. The only challenging aspect for new users is often writing the query language. Basic searching is very e...

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?

It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster. Replicating data for on-prem development and testing is difficult. Having a SQL abstrac...

See all answers

What is your primary use case for InfluxDB?

InfluxDB is the main component in our large enterprise-scale streaming data application for maritime vessels. We collect position data from vessels around the coast once per second, put it on a Kaf...

See all answers

Comparisons

Sentry vs Elastic Observability

Compared 13% of the time

New Relic vs Elastic Observability

Compared 12% of the time

Dynatrace vs Elastic Observability

Compared 11% of the time

Grafana vs Elastic Observability

Compared 8% of the time

Zabbix vs Elastic Observability

Compared 8% of the time

More Elastic Observability Competitors

ClickHouse vs InfluxDB

Compared 25% of the time

MongoDB Enterprise Advanced vs InfluxDB

Compared 16% of the time

SQLite vs InfluxDB

Compared 6% of the time

PostgreSQL vs InfluxDB

Compared 6% of the time

Cassandra vs InfluxDB

Compared 5% of the time

More InfluxDB Competitors

Product Reports

Buyer's Guide

Elastic Observability

September 2025

Download Elastic Observability product report

Buyer's Guide

InfluxDB

September 2025

Download InfluxDB product report

Overview

Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.

Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.

What are the most important features of Elastic Observability?

Centralized Logging: Streamlines the collection, analysis, and storage of log data.
Powerful Search: Provides robust search capabilities for quick access to relevant information.
Scalability: Supports growing data needs across diverse environments.
Real-time Telemetry: Ensures up-to-date insights and monitoring.
Platform Integration: Seamlessly connects with services like Teams and Slack.
Data Visualization: Enhances visibility with Elastic APM and Kibana.

What benefits and ROI should users explore in reviews?

Cost-effectiveness: Offers significant savings through efficient data management.
Rapid Incident Response: Minimizes downtime with quick troubleshooting tools.
Comprehensive Insights: Supports better business decisions with detailed data analysis.
Performance Tracking: Enables assessment of system effectiveness and improvements.

Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.

Elastic

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

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

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

Buyer's Guide

Elastic Observability vs. InfluxDB

September 2025

Free Report: Elastic Observability vs. InfluxDB

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