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Datadog vs Portkey comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jan 25, 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)
Portkey
Ranking in Application Performance Monitoring (APM) and Observability
26th
Average Rating
8.6
Reviews Sentiment
6.4
Number of Reviews
5
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 Portkey is 0.3%, up from 0.2% 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%
Portkey0.3%
Other95.5%
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.
Shravan Revanna - PeerSpot reviewer
Software Engineer at klydo.in
Centralized AI control has standardized our workflows and delivers faster, more reliable features
There are definitely some places where Portkey can be improved. Overall, the experience has been positive, but the first area is analytics and reporting. While the observability feature is excellent, we would like to have richer historical analytics and customizable dashboards. For example, it would be useful to see trends by applications and teams or features over long periods without exporting data to an external BI tool. Another area is governance for large organizations. As AI adoption grows, enterprises need more granular, role-based access control. We would like to see more advanced AI evaluation capability built into the platform itself, including features such as prompt versioning and automated quality scoring and regression testing. Finally, while the platform is supported with multiple providers, we would welcome even more intelligent routing capabilities, such as automatically selecting the best model based on latency, cost, and task complexity using configurable policies. These are not major pain points, but they are enhancements that would make an already strong platform even more valuable for an organization that scales their AI workloads. Documentation and onboarding could be enhanced. Portkey is developer-friendly, but we need more end-to-end references, architecture, and implementation guides for common AI patterns. This would help teams adopt it even faster. I did not give Portkey a perfect score because while it has become a foundational component in our AI stack and solves several operational challenges, I would still like to see deeper analytics, stronger enterprise governance features, and more built-in AI evaluation capabilities, especially for prompt testing, regression analysis, and model benchmarking. I would be comfortable recommending Portkey to any organization that is building multiple AI applications or wants to manage a scalable way to handle LLM providers and produce AI traffic.

Quotes from Members

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

Pros

"Datadog has positively impacted my organization by allowing us to gather complete data instead of looking all over the place at incomplete data and actually make pointed determinations for fixing issues."
"This solution improves our organization as now we have higher visibility into our application that we otherwise would not have."
"Datadog helps us detect issues early on and helps in troubleshooting."
"Session recordings have been the most valuable to me as it helps me gain insights into user behaviour at scale."
"Sometimes it's more user friendly for development teams, and there are parts of Datadog that are more understandable for development teams; for example, the APM in Datadog works more manually and works like the tools in New Relic, Grafana, or Elastic, making it easier to understand for software development teams."
"The solution's SaaS model is easy to manage and works well in single- or multi-cloud environments."
"The service catalog is very useful; we use this type of offering for our microservices applications, and it gives a good view of flow, which is a must when we have different developers working on different services, and having the trace and log features has been useful in order to locate the microservice for the on-call person."
"Synthetic testing is by far the most valuable feature in our organization."
"Portkey has significantly improved the organization by streamlining the AI processes being followed."
"Portkey definitely provides a solid alternative solution for the agent and large model hosting platforms, and it is very helpful for us to explore the possibilities across the industry rather than staying with a few mainstream options."
"Overall, Portkey has had a huge business impact in terms of cost savings and operational efficiency."
"Portkey's visualization is excellent, I particularly appreciate the multiple capabilities they have introduced, especially the MCP gateway, which is outstanding, the caching mechanism is very good, and the logs and traceability features are also excellent."
"Portkey is totally stable; it is one of the best software solutions in the market for this purpose."
 

Cons

"I'm still exploring the trial version, and it is fine. One thing that I haven't been able to figure out is how to retrieve a report. This is something that could be improved. I probably need to navigate to a place to access the reports."
"I believe there is room for improvement with this solution. It wasn't easy for me to get a quick understanding of what this tool offers us as opposed to the added tools of AWS."
"The only thing that they were missing that has thrown us from the beginning (they are still missing it) is consistency in the APIs."
"Datadog is so feature-rich that it is often hard to onboard new folks and tough to decide where to invest time."
"More helpful log search keywords/tips would be helpful in improving Datadog's log dashboard."
"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."
"We'd like Datadog to make the log storage cheaper."
"While it’s powerful, the interface can feel cluttered and overwhelming for new users."
"There are definitely some places where Portkey can be improved."
"However, one thing I would like to say is that it could have better documentation."
"One major problem I see with Portkey is that when I had not yet started any trial, it started to denote that I had exceeded the prompt limit."
"The main area for improvement is onboarding and trial experience."
"End-to-end traceability is not fully fulfilled. They are only fulfilling about 50 to 60 percent of our end-to-end agent traceability requirements, and the remaining functionality needs to be implemented."
 

Pricing and Cost Advice

"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."
"​Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."
"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."
"Our licensing fees are paid on a monthly basis."
"They prefer monthly subscriptions."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"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 cost is high and this can be justified if the scale of the environment is big."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
10%
Outsourcing Company
8%
Computer Software Company
7%
Non Profit
33%
Computer Software Company
13%
Construction Company
10%
Retailer
10%
 

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 ...
What is your experience regarding pricing and costs for Portkey?
Regarding pricing and licensing, the cost was relatively low because Portkey sits in front of our existing AI infrastructure. From a licensing perspective, I appreciate that the pricing model is pr...
What needs improvement with Portkey?
Portkey does not have an agent registry, which is a feature they should implement in a future release. We need to capture metadata of agents, and this capability is currently missing. End-to-end tr...
What is your primary use case for Portkey?
Our client is completely using AWS products. For AI gateways, we are using Portkey, which is the product we have implemented, and we are leveraging all AWS services for internal application develop...
 

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
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Find out what your peers are saying about Datadog vs. Portkey and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.