AIOps Leaderboard

Best AIOps Software - AI-Verified Rankings

AI-verified scores for aiops platforms

🔍 14 vendors ranked📊 8 scoring dimensions🕐 Updated July 2026

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How we scored AIOps

Every vendor evaluated the same way - no exceptions

Product Quality

Market Reputation

Community Sentiment

Customer Experience

Technical Credibility

Value for Money

Innovation & Vision

Buying Safety

Full AIOps ranking

Ranked by overall score, updated monthly
1
DA

Datadog

Strongest in Product Quality
Datadog is a cloud monitoring and security platform that unifies infrastructure monitoring, application performance monitoring (APM), log management, and security monitoring for DevOps, SRE, and security teams. Founded by Olivier Pomel and Alexis Lê-Quôc, it correlates metrics, traces, and logs across 750+ integrations to give engineering teams a single view of their stack. Publicly traded on Nasdaq (DDOG), Datadog is widely used by cloud-native and enterprise organizations and is consistently positioned as a leader in the observability category, alongside frequent scrutiny of its usage-based pricing model.
observabilityapmdevops
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87
Score
A
2
DY

Dynatrace

Strongest in Technical Credibility
Dynatrace is an AI-powered, full-stack observability and application security platform built around Davis AI, a deterministic causal-analysis engine that pinpoints root cause rather than surfacing statistical correlations. Founded in 2005 in Linz, Austria by Bernd Greifeneder and others, Dynatrace unifies application performance monitoring, infrastructure monitoring, log management, and application security for large enterprises. It trades on the NYSE under the ticker DT and is consistently positioned as a Leader in the observability category.
observabilityapmaiops
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86
Score
A
3
PA

PagerDuty

Strongest in Product Quality
PagerDuty is a digital operations management platform best known for incident response and on-call scheduling, helping engineering and IT teams detect, respond to, and resolve operational issues. Founded in 2009 by Alex Solomon, Andrew Miklas, and Baskar Puvanathasan, PagerDuty helped define the incident-response category and has since expanded into AIOps event intelligence and automation. It trades on the NYSE under the ticker PD.
incident-managementon-callaiops
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85
Score
A
4
SE

ServiceNow

Strongest in Technical Credibility
ServiceNow is a cloud-based enterprise platform that helps organizations digitize and automate workflows across IT, employee, and customer functions. Best known for IT Service Management (ITSM) and IT Operations Management (ITOM), the Now Platform has expanded into HR service delivery, customer service management, security operations, and low-code app development. Publicly traded on the NYSE (NOW), ServiceNow serves a large share of the Fortune 500 and is consistently recognized as a leader in enterprise workflow automation.
itsmitomaiops
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84
Score
A
5
SP

Splunk

Strongest in Market Reputation
Splunk is a data platform for security and observability, widely used for SIEM, log analysis, and full-stack monitoring. Founded in 2003 by Michael Baum, Rob Das, and Erik Swan, Splunk pioneered searching and analyzing machine data at scale. Cisco completed its acquisition of Splunk for approximately $28 billion in March 2024, and Splunk now operates as part of Cisco's security business while continuing to run its platform and brand.
siemobservabilitylog-management
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83
Score
A

Side-by-side comparison

Every ranked AIOps vendor, at a glance
RankVendorGradeOverall score
1DatadogA87
2DynatraceA86
3PagerDutyA85
4ServiceNowA84
5SplunkA83

The 8 scoring dimensions

Weighted by real purchase drivers, not vendor self-reporting

Product Quality

18%

Market Reputation

16%

Community Sentiment

15%

Customer Experience

14%

Technical Credibility

13%

Value for Money

11%

Innovation & Vision

8%

Buying Safety

5%

Frequently asked questions

How is the AIOps Leaderboard scored?

Every AIOps vendor is scored using the same Verified Layer Trust Standard (VTSS) methodology as every other vendor on Verified Layer. See the full scoring methodology for the complete breakdown.

How often are AIOps Leaderboard rankings updated?

Every month, on the same automated cycle as every other category. This page was last updated July 2026.

What data sources does the AIOps Leaderboard use?

20+ public sources across AI model outputs, community platforms, and verifiable public records. No vendor-submitted content is treated as independent evidence.

How do I claim my AIOps listing?

Search for your company on this leaderboard and use the Get Verified flow on your vendor profile. Claiming is free and does not change your score.
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