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Datadog vs Portkey comparison

 

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 (3rd), IT Infrastructure Monitoring (2nd), 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 August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 4.4%, down from 9.0% compared to the previous year. The mindshare of Portkey is 0.3%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog4.4%
Portkey0.3%
Other95.3%
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 a very good visualization for my complete infrastructure and network traffic, which enabled me to create a capacity plan."
"Even if we don't end up using Datadog, it revealed problems and optimizations to us that weren't obvious before."
"The most valuable features have been: Sharable dashboards, TimeBoards, dogstatsd API, Slack Integration, Event logging API. CloudTrail Events, Tags, alerts, and anomaly detection. EBS Volume Snapshot Age, which they added upon request."
"The solution is useful for monitoring logs."
"We have been impressed with the uptime and clean and light resource usage of the agents."
"The full stack of integrations made it easier to monitor the different technologies and platform providers, including Software as a Service providers, that otherwise would need a lot of work and customization to be able to see what is happening."
"Datadog has a lot of features to be able to drill down deep into the swath of logs that our platforms generate."
"We also use APM and metrics to view the status of our Pub/Sub topics and queues, especially when dealing with undelivered messages."
"Portkey has significantly improved the organization by streamlining the AI processes being followed."
"Portkey is totally stable; it is one of the best software solutions in the market for this purpose."
"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."
 

Cons

"While the documentation is very good, there are areas that need a lot of focus to pick up on the key details."
"The documentation could be improved regarding setting up the agent properly and debugging."
"It is hard to educate an entire team. There is a big learning curve."
"I would love to see more metrics or analytics in IoT devices."
"One thing that I haven't been able to figure out is how to retrieve a report."
"We'd like Datadog to make the log storage cheaper."
"The cost is pretty high."
"There could be more easily identifiable documentation on how to find different things on the platform."
"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."
"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."
"The main area for improvement is onboarding and trial experience."
"There are definitely some places where Portkey can be improved."
 

Pricing and Cost Advice

"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"While it is an expensive product, I would rate the pricing level at four out of five."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"Our licensing fees are paid on a monthly basis."
"It has a module-based pricing model."
"Licensing is based on the retention period of logs and metrics."
"This solution is budget friendly."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
9%
Computer Software Company
8%
Outsourcing Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business82
Midsize Enterprise49
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 is a very good software for AI applications. It is a single place solution that you can use if you want your AI application to be in production. However, one thing I would like to say is th...
What is your primary use case for Portkey?
Portkey has many features for deploying an application to production, including an AI gateway, observability, guardrails, governance, and prompt management. We primarily use the AI Gateway, observa...
 

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: August 2026.
909,948 professionals have used our research since 2012.