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Datadog vs IDERA Precise comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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 Application Performance Monitoring (APM) and Observability
1st
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Network Monitoring Software (2nd), IT Infrastructure Monitoring (1st), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (6th), AI Observability (1st)
IDERA Precise
Ranking in Application Performance Monitoring (APM) and Observability
66th
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 4.2%, down from 7.4% compared to the previous year. The mindshare of IDERA Precise is 0.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog4.2%
IDERA Precise0.7%
Other95.1%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
Site Reliability Engineer at Grainger
Has improved incident response with better root cause visibility and supports flexible on-call scheduling
Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.
it_user3024 - PeerSpot reviewer
Senior Manager of Operations at a retailer with 1,001-5,000 employees
Simple to use but incredibly powerful
Great for rapid root cause, data is presented back in a way that is easy for non technical stakeholders to absorb (DBAs, Cap Analysts, testers, developers, application support), easy deployment on Oracle and SQL systems. Trending all SQL statements over time is invaluable to understand step changes. i.e is this slow because it is processing more or because an explain plan has changed.Dashboards and reports are very powerful.

Quotes from Members

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

Pros

"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 has impacted our organization positively in a major way because not even just as a QA engineer having access to the real-time replay, but just as a team, all of us being able to access this data and see what parts of our system are causing the most errors or resulting in the most frustration with users."
"APM and tracing are super useful, and when a production issue happens, it is super useful to see the related services and sense where the problem is."
"The service catalog helped improve our organization by giving a good view of the flow for our microservices applications."
"When an alert fires, our on-call engineer can see the infrastructure metric spike (like CPU), pivot directly to the application traces (APM) running on that host, and see the exact, correlated logs from the services causing the problem—all in one place."
"Datadog will positively impact my organization by allowing me to handle ticket resolutions at a much faster pace and bring productivity by reducing the number of support engineers required at the monitoring level."
"The best way it has helped us is by consolidating all our logs into a single place and making it easier to find errors."
"Our teams use Datadog more than they used their old observability tool—they're more production-aware, conscious of how their changes are impacting customers, how the changes they make to their application speed up or slow down their app, and the overall request flow."
"Gives an excellent perspective on the state of the system at fault as well as the past!"
"Great for rapid root cause, data is presented back in a way that is easy for non technical stakeholders to absorb (DBAs, Cap Analysts, testers, developers, application support), easy deployment on Oracle and SQL systems."
 

Cons

"The cost is pretty high."
"The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts."
"There are so many different solutions; it is sometimes difficult to gauge where to start, and I sometimes miss a lot of functionality."
"I would love to see more metrics or analytics in IoT devices."
"I often have issues with the UI in my browser."
"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."
"One area where I was really looking for improvement was the CSPM product line. I had really wanted to have team-level visibility for findings, since the team managing the resources has much more context and ability to resolve the issue, as the service owner. However, this has been added to the announcement in a recent keynote."
"Deploying the agents is still very manual."
"The user interface requires little change-but this problem is small compared to the capabilities of the tool"
"Web monitoring could be more robust and intuitive."
 

Pricing and Cost Advice

"Licensing is based on the retention period of logs and metrics."
"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."
"While it is an expensive product, I would rate the pricing level at four out of five."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"The cost is high and this can be justified if the scale of the environment is big."
"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."
"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
10%
Outsourcing Company
8%
Computer Software Company
7%
Financial Services Firm
14%
Comms Service Provider
12%
Construction Company
11%
Retailer
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business81
Midsize Enterprise50
Large Enterprise100
No data available
 

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 ...
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Also Known As

No data available
Precise Application Performance Platform, Precise APM, Precise for SAP, Precise for Peoplesoft
 

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
Banco Bradesco; Bank of America; Carrefour; Energy Future Holdings; Fedex; Marriott International; Nestle; Reed Elsevier Group; Bank Leumi; Beijing Giftedstuffs Information Company, Ltd.; Daiwa Capital Markets, London; Magnitogorsky Iron Plant; Europa Sports; Mobistar Enterprise Services NV/SA; Air France; Casino IT; SoftBCom, Ltd.
Find out what your peers are saying about Datadog vs. IDERA Precise and other solutions. Updated: September 2026.
917,433 professionals have used our research since 2012.