Try our new research platform with insights from 80,000+ expert users

Datadog vs InfluxDB comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 13, 2025

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

Datadog
Ranking in Network Monitoring Software
4th
Ranking in IT Infrastructure Monitoring
3rd
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
188
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Log Management (4th), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (6th)
InfluxDB
Ranking in Network Monitoring Software
27th
Ranking in IT Infrastructure Monitoring
26th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
12
Ranking in other categories
Non-Relational Databases (2nd), Open Source Databases (9th), NoSQL Databases (5th)
 

Mindshare comparison

As of October 2025, in the Network Monitoring Software category, the mindshare of Datadog is 3.1%, down from 3.9% compared to the previous year. The mindshare of InfluxDB is 0.4%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software Market Share Distribution
ProductMarket Share (%)
Datadog3.1%
InfluxDB0.4%
Other96.5%
Network Monitoring Software
 

Featured Reviews

reviewer820579 - PeerSpot reviewer
Single pane of glass, easy to share dashboards, and good for monitoring
We've had some issues where we had Datadog automatically turned on in AWS regions that we weren't using, which incurred a small but steady cost that amounted to tens of thousands of dollars spent over a few weeks. I wish there was a global setting that lets an admin restrict which regions DD is turned on in as a default setup step. Sometimes, the APM service dashboard link isn't sharable. I click something in the service catalog, and on that service's APM default view, I try to share a link to that with a teammate, and they reach a blank or error screen. I wish there was more organization and detail in the suggestions when I use the query editor. I'm never quite sure when the autofill dropdown shows up if I'm seeing some custom tag or some default property, so I have to know exactly what I'm looking for in order to build a chart. It's hard to navigate and explore using the query autofill suggestions without knowing exactly what tag to look for. It's been a bit hard to understand how data gets sampled or how many data points a particular dashboard value is using. We've had questions over the RUM metrics that we see and we had to ask for help with how values are calculated, bin sizes, etc to get confidence in our data.
DeepakR - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"If we have a large load for users using our basic Datadog, it will immediately fire off an alert notifying us either something's wrong or not."
"The dashboards are super convenient to us for a more zoomed out view of what is going on with each integration that we utilize."
"We integrate our application logs. It is great to be able to tie our metrics and our traces together."
"We like the distributed tracing and flame graphs for debugging. This has been invaluable for us during periods of high traffic or red alert conditions."
"Datadog documentation on web pages has improved a lot and is pretty easy to follow and find."
"The integration into AWS is key as well as our software is currently bound to AWS."
"It is great that creating an incident is possible from Slack while having all the relevant data in Datadog."
"The most valuable features are logging, the extensive set of integrations, and easy jumpstart."
"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."
"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana."
"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 solution is very powerful."
"The most valuable features are aggregating the data and integration with Graphana for monitoring."
"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 features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."
 

Cons

"For three to four months, we have been experiencing real-time delays. For example, if we're monitoring incoming traffic, the real-time status should be displayed up to a certain point. However, due to delays or issues with Datadog, the real-time data might only be updated at an earlier time. We are experiencing consistent delays in data updates from Datadog, with the most recent data often being delayed by about an hour. This issue has been ongoing for the past four months."
"Alerting timing should be improved to be more fine-tuned and exact."
"It can have a more modernized pricing mechanism. We're actually working with them to figure out how to become more modular and have a better and more modernized pricing mechanism. The issue with Datadog is that you have to buy the whole suite of different products, and you kind of get stuck in the old utilization of 40% of their suite. Most organizations today break down between application development, networking, and security. Therefore, there should be a way to break down different modules into just app dev, infosec, networking, etc. Customers have various needs across their business lines, and sometimes, they're just not willing to have tools that they're not using 100%. AppDynamics is probably a little bit better in terms of being modular."
"I'm not sure if Datadog can monitor K8s deployments in real-time. For instance, being able to see a deployment step by step visually. This would be helpful if there were any incidents during the deployment."
"A big problem with Datadog is the billing. They need to make the billing more user-friendly."
"The product can be improved by allowing the grouping of APIs to add variables. That way, any API with a unique ID could be grouped together."
"Even though it is powerful on its own, the UI-based design lacks elegance, efficiency, and complexity."
"We primarily use the log management functionality, and the only feedback I have there is better fuzzy text searching in logs (the kind that Kibana has)."
"The solution doesn't have much of a user interface."
"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 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."
"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 interface of InfluxDB is so complex and should be made easier for non-technical people."
"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."
"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."
 

Pricing and Cost Advice

"The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."
"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."
"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."
"They prefer monthly subscriptions."
"InfluxDB recently increased its price. It is very expensive now."
"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."
report
Use our free recommendation engine to learn which Network Monitoring Software solutions are best for your needs.
868,787 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
8%
Retailer
6%
Financial Services Firm
11%
Computer Software Company
10%
Manufacturing Company
9%
University
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business78
Midsize Enterprise42
Large Enterprise82
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise3
Large Enterprise6
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
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 ...
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...
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...
 

Comparisons

 

Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo
Find out what your peers are saying about Datadog vs. InfluxDB and other solutions. Updated: September 2025.
868,787 professionals have used our research since 2012.