Sold by: DX
Deployed on AWS
DX is an engineering intelligence platform designed by leading researchers. We give engineering leaders and platform teams the data they need to take the right actions to drive higher ROI per developer.
4.6
Overview
The DX platform combines data from development tools with self-reported data collected from developers, offering a comprehensive view of engineering productivity and its underlying factors. DX has developed proprietary measurement frameworks including the DX Core 4 and DXI. The insights from our platform cater to leaders at every level of the organization, from CXOs to platform teams to frontline managers.
Highlights
- DX provides expert-designed measurements and guidance, designed by the same researchers behind DORA, SPACE, and DevEx.
- DX combines qualitative and quantitative data in a single platform, giving you the insights you need to take action to improve productivity.
- DX provides a data lake with AI-powered fully custom reporting, and a single tenant platform that can meet your specific performance needs.
Details
Sold by
Delivery method
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
DX Platform | Access to DX Platform | $15,000.00 |
Dimension | Description | Cost/unit |
|---|---|---|
Active Contributors | Additional active contributors | $672.00 |
Dimensions summary
This contract has two dimensions that work together. The DX Platform dimension gives you access to the developer intelligence platform itself. The Active Contributors dimension covers additional active contributors, so you scale up as your team grows. Pricing is based on developer licenses, which means your cost tracks the number of contributors you include. You commit to both dimensions under a single contract term rather than choosing between separate plans. Together they set your platform access and your covered headcount.
Top-of-mind questions for buyers
An active contributor is a developer license. Pricing tracks the number of developers you include, not the size of your teams. Each contributor you add to the platform counts toward your billed quantity.
Both dimensions bill together under one contract. The DX Platform dimension covers your access to the platform. The Active Contributors dimension covers additional developer licenses. Your contributor count drives how the second dimension scales, since pricing is based on developer licenses.
You add active contributors to cover the new developers. The Active Contributors dimension exists to scale your covered headcount as your team grows. Contact the vendor for the specific process to increase your contributor count mid-term.
getdx.com
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Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
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Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
Please reach out to support@getdx.com .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Apparel & Fashion
Valuable Team Performance Insights with Seamless GitHub & Atlassian Integration
Reviewed on Jun 23, 2026
Review provided by G2
What do you like best about the product?
DX has given me valuable insight into our team's performance and velocity. It’s helped me improve velocity while also building a clearer understanding of the team's dynamics. It integrates amazingly well with GitHub and Atlassian products
What do you dislike about the product?
The AI part of the product could be misleading if used improperly, and, especially, upper management or non-technical leaders, could take them out of context
What problems is the product solving and how is that benefiting you?
DX is solving the performance-tracking problem for my teams. Velocity, quality and consistency are clearly recorded and can be used for delivery improvement at the team level
Computer Software
Fast Surveys and Great Results Aggregation
Reviewed on Jun 21, 2026
Review provided by G2
What do you like best about the product?
its aggregation of results, and the speed of the survey itselff
What do you dislike about the product?
Organizing of teams and in particular managers. sometimes I am not aware if I should participate or not
What problems is the product solving and how is that benefiting you?
forcing engineers to give feedback and giving us actionable focus
Manufacturing
Data-Driven Insights That Blend Quantitative and Qualitative Feedback
Reviewed on Jun 19, 2026
Review provided by G2
What do you like best about the product?
How it merges quantitative and qualitiative feedback, and is rooted in data.
What do you dislike about the product?
I think it works fine for me - I don't have any immediate grievances.
What problems is the product solving and how is that benefiting you?
Figuring out what the bottlenecks in our engineering org are.
Apparel & Fashion
Useful Team-Level Insights That Reveal What’s Really Going On
Reviewed on Jun 19, 2026
Review provided by G2
What do you like best about the product?
Useful insights on what is really going on at team level and beyond.
What do you dislike about the product?
I like all the reports but its a bit difficult to consume and find the right one you are looking for.
What problems is the product solving and how is that benefiting you?
Visualizing the right metrics (e.g. DORA) which I can tie in with my flow metrics reporting which gives a very good view for upper management.
Computer Software
Useful team insights with easy-to-follow reports and charts, dangerous information without context
Reviewed on Jun 17, 2026
Review provided by G2
What do you like best about the product?
The framework as a whole provides engineering managers with useful insights about how their teams is/are performing, taking into account several variables. Most of such insights are presented in easy to follow reports and charts and should be used by a team as metrics on which to improve.
What do you dislike about the product?
There is a significant overlap between the aspects that make the framework/platform appealing and the things that make it very dangerous: metrics are great, but will cause more harm than good when used used by people without context.
The framework allows people to compare metrics taken by their face value and without any real context. These comparisons can happen among people inside a team, among different teams and between a team and the industry.
For as much as the owners of the framework/platform say that such comparisons should not be made, they are inevitable - the framework/platform leads itself to such comparisons easily.
It's only a matter of time until somebody will say "this person is not contributing as much as others", "this team is not delivering on pair with other teams", "this team is severely behind what industry expects" and use this information to make poor decisions.
This gets even worse if we consider that the "industry" includes all kinds of companies that deliver software, regardless of them delivering a single use case product or a whole framework that allows customers to build any product.
As an example, any team that mostly does maintenance work, in which it is fairly common to have someone add 2-3 lines of code per PR after an investigation of several days to understand the root cause of the problem, will have significantly lower metrics than a team who is focused on delivering features. A team who works on a monolithic code base with several years of age will have significantly lower metrics than a team who only has to build and maintain the code for a new service delivered 2 years ago.
Such comparisons should be disabled by default. At the very least, these comparisons should only be available at a team level, so that only the people with right context can use such metrics wisely.
Another thing that I dislike about the framework is the AI magic behind some of the metrics. A given metric is defined as "AI weighs each PR based on PR title and description, the size and structure of the diff (files changed, lines changed, etc.), and other structural metadata about the PR.". Another metric is defined as "PRs are weighed and classified by DX AI". All of this is very vague, even with the provided examples, and not really useful for people to know how to improve. The good news is that is vague for everybody...
The framework/platform would largely benefit from replacing these vague descriptions with concrete fact-based rules.
While one can find some documentation online that tries to explain some of the concepts and metrics, this documentation is not comprehensive and sometimes it is just as vague as the metrics' description itself.
The framework allows people to compare metrics taken by their face value and without any real context. These comparisons can happen among people inside a team, among different teams and between a team and the industry.
For as much as the owners of the framework/platform say that such comparisons should not be made, they are inevitable - the framework/platform leads itself to such comparisons easily.
It's only a matter of time until somebody will say "this person is not contributing as much as others", "this team is not delivering on pair with other teams", "this team is severely behind what industry expects" and use this information to make poor decisions.
This gets even worse if we consider that the "industry" includes all kinds of companies that deliver software, regardless of them delivering a single use case product or a whole framework that allows customers to build any product.
As an example, any team that mostly does maintenance work, in which it is fairly common to have someone add 2-3 lines of code per PR after an investigation of several days to understand the root cause of the problem, will have significantly lower metrics than a team who is focused on delivering features. A team who works on a monolithic code base with several years of age will have significantly lower metrics than a team who only has to build and maintain the code for a new service delivered 2 years ago.
Such comparisons should be disabled by default. At the very least, these comparisons should only be available at a team level, so that only the people with right context can use such metrics wisely.
Another thing that I dislike about the framework is the AI magic behind some of the metrics. A given metric is defined as "AI weighs each PR based on PR title and description, the size and structure of the diff (files changed, lines changed, etc.), and other structural metadata about the PR.". Another metric is defined as "PRs are weighed and classified by DX AI". All of this is very vague, even with the provided examples, and not really useful for people to know how to improve. The good news is that is vague for everybody...
The framework/platform would largely benefit from replacing these vague descriptions with concrete fact-based rules.
While one can find some documentation online that tries to explain some of the concepts and metrics, this documentation is not comprehensive and sometimes it is just as vague as the metrics' description itself.
What problems is the product solving and how is that benefiting you?
The framework allows me to understand how my team is doing regarding several factors and understand how we can become better.