Datadog vs Resolve: who uses which
Customers, public proof and the companies that use both.
On usedby, 60 companies use Datadog and 24 use Resolve. 3 companies use both, including Autodesk, Nasdaq, and Eventbrite. Datadog leads among the Artificial Intelligence companies on usedby that use either tool.Latest check Nov 13, 2026: 83 of 84 public lines checked. Counts include every proof level, job-post signals included. A company on both tools counts at any proof level, and a job post on one side is marked as such.
Who uses Datadog, Resolve, or both
Every company with a public proof for at least one of the two tools.
57
listed for Datadog only
3
companies use both
21
listed for Resolve only
On usedby, 57 companies are listed for Datadog only, 21 are listed for Resolve only and 3 use both, out of the 81 companies listed for at least one. An absent listing does not prove non-use.
Where it lands
Recently publicly listed customers
Who uses both
Companies with a public line on both tools, at any proof level: the strongest proofs come first, and a job post is marked.
| Company | First public proof, Resolve |
|---|---|
Autodesk | On or before Jul 2026 |
Nasdaq | — |
Eventbrite | On or before May 2026 |
By industry
Which tool the companies on usedby use, by industry. Shares of the companies on usedby that use Datadog, Resolve or both: a share of the companies on usedby, not of the market.
Listed for Datadog onlyBothListed for Resolve only
More common with Datadog
- Artificial Intelligence11 of the 11 Artificial Intelligence companies on usedby that use either tool use Datadog.
- Logistics & Supply Chain3 of the 5 Logistics & Supply Chain companies on usedby that use either tool use Datadog.
Source: every usedby line, from confirmed proofs to job-post signals (the weakest proof level).
Side by side
Facts from our data and from each vendor's public pages. Each line says where it comes from.
Vendor facts checked: Datadog, 4 of 6; Resolve, 1 of 6. Missing facts remain unverified, not absent features.
Datadog
ResolveWhat customers report
Results as the vendor or the customer published them, with the source and the date.
Datadog

reduce global mean time to resolution (MTTR) from 11 hours to less than one hour, an improvement of approximately 90%
Bullla
Vendor case study, datadoghq.com, published Oct 21, 2026

those metrics are available to all 2,300 SNCF engineers and administrators, across all teams and environments
SNCF
Vendor case study, datadoghq.com, published Sep 8, 2021
Resolve

~60% reduction in mean time to resolve (MTTR)
Salesforce
Vendor case study, resolve.ai, published Apr 16, 2026

75 percent reduction in incident investigation time
Zscaler
Vendor case study, resolve.ai, published Dec 12, 2025
Evidence for your decision: Resolve
Source observations. Check the required plan and conditions before choosing.
Documented tasks
MSCIAutomate internal business workflows
Now, an alert lands in PagerDuty, ResolveAI joins the incident channel via Microsoft Teams, and the investigation starts automatically.
Choice criteria
Integration: Google CloudSourced observation
Plan: Unknown
Google Cloud Grafana Kubernetes Datadog Github Splunk custom-tool Prometheus Kloudfuse Slack Chronosphere Amazon Web Services Claude Codex Cursor Notion
Integration: GrafanaSourced observation
Plan: Unknown
Google Cloud Grafana Kubernetes Datadog Github Splunk custom-tool Prometheus Kloudfuse Slack Chronosphere Amazon Web Services Claude Codex Cursor Notion
Integration: KubernetesSourced observation
Plan: Unknown
Google Cloud Grafana Kubernetes Datadog Github Splunk custom-tool Prometheus Kloudfuse Slack Chronosphere Amazon Web Services Claude Codex Cursor Notion
Integration: DatadogSourced observation
Plan: Unknown
Google Cloud Grafana Kubernetes Datadog Github Splunk custom-tool Prometheus Kloudfuse Slack Chronosphere Amazon Web Services Claude Codex Cursor Notion
Integration: GithubSourced observation
Plan: Unknown
Google Cloud Grafana Kubernetes Datadog Github Splunk custom-tool Prometheus Kloudfuse Slack Chronosphere Amazon Web Services Claude Codex Cursor Notion
Integration: SplunkSourced observation
Plan: Unknown
Google Cloud Grafana Kubernetes Datadog Github Splunk custom-tool Prometheus Kloudfuse Slack Chronosphere Amazon Web Services Claude Codex Cursor Notion
Integration: PrometheusSourced observation
Plan: Unknown
Google Cloud Grafana Kubernetes Datadog Github Splunk custom-tool Prometheus Kloudfuse Slack Chronosphere Amazon Web Services Claude Codex Cursor Notion
Integration: SlackSourced observation
Plan: Unknown
Google Cloud Grafana Kubernetes Datadog Github Splunk custom-tool Prometheus Kloudfuse Slack Chronosphere Amazon Web Services Claude Codex Cursor Notion
Integration: Amazon Web ServicesSourced observation
Plan: Unknown
Google Cloud Grafana Kubernetes Datadog Github Splunk custom-tool Prometheus Kloudfuse Slack Chronosphere Amazon Web Services Claude Codex Cursor Notion
Integration: NotionSourced observation
Plan: Unknown
Google Cloud Grafana Kubernetes Datadog Github Splunk custom-tool Prometheus Kloudfuse Slack Chronosphere Amazon Web Services Claude Codex Cursor Notion
Integration: Google CloudSourced observation
Plan: Unknown
Conditions: Product scope needs verification
Product: resolve
Setup and limits: Named plan, contract entitlement, connector scopes, permissions, volume limits and regional eligibility remain unknown.; Documented only; not_tested. No authenticated vendor operation executed.; Named integration listing only; operation semantics and data direction are not established.
Google CloudGrafanaKubernetesDatadogGithubSplunk
Questions about Datadog and Resolve
Which is used more, Datadog or Resolve?
Datadog has more customers on usedby: 60 against 24 for Resolve.
Do companies use both Datadog and Resolve?
Yes. 3 companies use both on usedby, including Autodesk, Nasdaq, and Eventbrite.
Who uses Datadog?
60 companies on usedby, each with the public page that shows it. See who uses Datadog.
Who uses Resolve?
24 companies on usedby, each with the public page that shows it. See who uses Resolve.
How does usedby count customers?
A company counts when a public page shows it: a vendor's customer page, a case study, a press release or a job post, most saved with a dated capture. Every line is a customer, at one of four proof levels: confirmed, declared by the company itself, observed or signal (a job post, the weakest). A company counts as using both tools when it has a line on each, at any level; the list shows the strongest proofs first and marks job posts.




