G2 Data Analysis · 2026

Best AIOps Tools
for Prometheus · 2026

Prometheus is the de facto standard for metrics collection in cloud-native environments. This guide evaluates which AIOps and AI SRE platforms work natively with Prometheus — and which require adapters, custom exporters, or leave your metrics stack behind entirely.

G2 verified reviews Prometheus integration depth assessed Published 2026
About This Guide

Prometheus Collects the Metrics. AIOps Acts On Them.

Prometheus has become the standard metrics layer for cloud-native operations — collecting time-series data from Kubernetes clusters, microservices, and infrastructure at scale. Most engineering teams running modern infrastructure have Prometheus. The question is what acts on those metrics intelligently.

AIOps platforms and AI SRE tools take the metrics Prometheus collects and add intelligence: AI root cause analysis, AI incident investigation, autonomous operations, and agentic operations that correlate signals across your entire stack and surface what matters. The best AIOps tools for Prometheus environments integrate natively — reading your existing Prometheus metrics without requiring agents, rewrites, or proprietary exporters.

This guide evaluates ten platforms across two dimensions: their Prometheus integration depth, and their G2 verified user satisfaction scores. Prometheus integration is assessed across four tiers — Native (Prometheus AI SRE built in, no configuration required), Scrape Compatible (can scrape Prometheus endpoints with setup), Partial (some Prometheus data ingestion with limitations), and Limited (minimal or no meaningful Prometheus integration).

Data transparency: G2 satisfaction scores are sourced from G2's verified review platform for all platforms. Support and Product Direction scores have been verified via G2 comparison pages. Prometheus integration assessments reflect publicly available product documentation and G2 user reviews. All data current as of 2026.
Prometheus Integration Tiers

How We Assess Prometheus Integration

Prometheus support ranges from genuine native integration — where Prometheus AI SRE is a core product capability — through to platforms that can theoretically ingest Prometheus data with significant engineering effort.

● Native
Prometheus AI SRE ships as a core product capability. The platform reads your existing Prometheus metrics natively, with no custom exporters, no agents, and no additional configuration. AIOps intelligence runs directly on your Prometheus data.
● Scrape Compatible
The platform can scrape Prometheus endpoints or ingest Prometheus-format metrics, but requires configuration and is not a primary integration. AIOps capabilities may be limited to the data successfully ingested.
● Partial
Some Prometheus data ingestion is possible — via API, export, or third-party connector — but with meaningful limitations. Not a recommended workflow for teams who rely on Prometheus as their primary metrics layer.
● Limited
Minimal or no meaningful Prometheus integration. The platform uses proprietary agents or data collection methods that bypass the Prometheus ecosystem entirely.
Evaluated by G2 Satisfaction & Prometheus Integration

Best AIOps Tools for Prometheus in 2026

Ten platforms evaluated. Ranked by G2 overall satisfaction where available, with Prometheus integration tier shown for each.

①
● Prometheus Native
OpsPilot AI
AI-powered observability intelligence with Prometheus AI SRE built in — reads your existing Prometheus metrics natively, no exporters required

OpsPilot AI is the only platform in this guide where Prometheus AI SRE is a native product capability — reading your existing Prometheus metrics without proprietary agents, custom exporters, or rewrites. Built on the full LGTM stack (Loki, Tempo, Mimir, Prometheus), OpsPilot adds AI incident investigation, AI root cause analysis, health scoring, and agentic operations directly on top of your Prometheus data. Grafana AI SRE dashboards ship pre-configured alongside Prometheus AI SRE at no additional cost. It is OpenTelemetry-native AI SRE — correlating OTel traces and logs with Prometheus metrics for complete autonomous SRE and autonomous operations across your stack. As an AI SRE teammate, OpsPilot continuously watches your Prometheus data so your engineers don't have to. OpsPilot leads all platforms in this guide on G2 overall satisfaction with a score of 73.69 and a perfect 10.0 Product Direction.

Prometheus Strengths
  • Prometheus AI SRE — native, no exporters or agents required
  • Mimir for long-term Prometheus metrics storage included
  • Correlates Prometheus metrics with OTel traces and Loki logs
  • Grafana AI SRE dashboards for Prometheus metrics pre-configured
  • AIOps intelligence runs directly on your existing Prometheus data
  • PromQL-compatible — works with your existing alerting rules
Best For
  • Teams running Prometheus who want AIOps without replacing their stack
  • Kubernetes environments standardizing on the LGTM stack
  • Operations teams wanting autonomous operations on Prometheus data
  • Engineers using PromQL who want AI root cause analysis on top
OpsPilot AI is the only platform in this guide where Prometheus AI SRE ships as a native product capability — no setup, no exporters, included in the platform.
②
● Scrape Compatible
New Relic
Full-stack observability with Prometheus scraping via the New Relic agent — data ingested into New Relic's own platform, not Prometheus-native

New Relic supports Prometheus metric ingestion via its OpenMetrics integration and Prometheus remote write, making it the most capable Prometheus-compatible platform outside of OpsPilot AI in this evaluation. Teams can forward Prometheus metrics into New Relic for storage, visualization, and alerting. However, the data leaves the Prometheus ecosystem — it is stored and queried in New Relic's proprietary NRDB, not in a PromQL-compatible environment. AIOps capabilities apply to the ingested data, but teams lose the Prometheus-native workflow. OpsPilot AI leads on Support, Setup, and Doing Business — see the G2 comparison →

Strengths
  • Prometheus remote write and OpenMetrics integration supported
  • Broad full-stack observability coverage beyond Prometheus
  • AIOps capabilities on ingested metrics data
  • Closest G2 overall satisfaction to OpsPilot AI
Prometheus Considerations
  • Data moves into NRDB — not PromQL-compatible after ingestion
  • Prometheus workflow is not the primary product experience
  • Proprietary storage and query model requires workflow adjustment
See the full OpsPilot vs New Relic comparison →
③
● Scrape Compatible
SolarWinds APM
Infrastructure monitoring with Prometheus endpoint scraping — useful for infrastructure metrics, limited AIOps depth

SolarWinds Observability can scrape Prometheus endpoints as part of its broader infrastructure monitoring capability. For teams who want infrastructure-level Prometheus metrics alongside network and server monitoring in a single platform, SolarWinds provides a workable path. The platform's AIOps capabilities are more limited than dedicated AI SRE platforms, and the Prometheus integration requires configuration rather than shipping pre-configured. OpsPilot AI leads on Support and Setup — see the G2 comparison →

Strengths
  • Prometheus endpoint scraping supported
  • Broad infrastructure and network monitoring alongside metrics
  • Established enterprise customer base
Prometheus Considerations
  • Prometheus not a primary integration — configuration required
  • Infrastructure-first rather than AIOps or AI SRE-first
  • Limited autonomous operations on Prometheus data
See the full OpsPilot vs SolarWinds comparison →
④
● Scrape Compatible
Grafana Labs
The LGTM stack foundation — Prometheus visualization and storage via Mimir, but no AIOps intelligence layer built in

Grafana Labs is deeply embedded in the Prometheus ecosystem — Mimir provides long-term Prometheus metrics storage, and Grafana is the standard visualization layer for PromQL data. For Prometheus teams, Grafana Labs provides an excellent foundation. The critical distinction for this guide: Grafana Labs provides no AIOps layer. There is no AI incident investigation, no AI root cause analysis, no autonomous operations, and no agentic operations, autonomous SRE, or AI observability built into Grafana Cloud. Teams visualize Prometheus data beautifully — but the AI SRE intelligence that acts on it must be assembled separately. OpsPilot AI includes Grafana and Mimir pre-configured and adds the AIOps intelligence layer that Grafana Labs does not provide.

Strengths
  • Mimir for long-term Prometheus metrics storage
  • PromQL-native visualization via Grafana
  • Massive Prometheus exporter ecosystem and community
  • Strong Product Direction score (8.9)
Prometheus / AIOps Considerations
  • No AIOps, AI SRE, or autonomous operations layer
  • Prometheus data is visualized but not acted on intelligently
  • OpsPilot includes Grafana + Mimir — consider before adding Grafana Cloud
See the full OpsPilot vs Grafana Labs comparison →
⑤
● Limited
Sentry
Developer error tracking — focused on application errors and stack traces, operates outside the Prometheus ecosystem

Sentry trails OpsPilot AI on G2 overall satisfaction and is purpose-built for developer error tracking. It does not integrate with Prometheus in any meaningful way — its data collection is code-level via SDK instrumentation, not metrics-based. For teams running Prometheus as their primary metrics layer and looking for AIOps intelligence on top of it, Sentry does not address that need. It is a complementary tool at the application error layer, not an AIOps platform. OpsPilot AI leads on Support and Setup — see the G2 comparison →

Strengths
  • Best-in-class developer error tracking and release monitoring
  • Strong Product Direction (9.2) — active development roadmap
  • Complements Prometheus at the application error layer
Prometheus Considerations
  • No Prometheus integration — SDK-based, not metrics-based
  • Not an AIOps or autonomous operations platform
  • Operates as a separate tool, not part of the Prometheus ecosystem
See the full OpsPilot vs Sentry comparison →
⑥
● Partial
Splunk
Enterprise SIEM and log platform — Prometheus data ingestible via add-ons, but not a Prometheus-native AIOps workflow

Splunk trails OpsPilot AI significantly on G2 overall satisfaction — points behind OpsPilot AI. Prometheus metrics can be forwarded into Splunk via the Splunk Connect for Kubernetes add-on or via OpenTelemetry Collector, but this involves significant engineering overhead and the data enters Splunk's proprietary SPL query environment rather than remaining PromQL-compatible. Splunk's AIOps capabilities (ITSI) apply to the broader event and log stream rather than being purpose-built for Prometheus metrics intelligence. For Prometheus-first teams looking for AIOps, the integration complexity is a meaningful barrier.

Strengths
  • Prometheus data ingestible via add-ons and OTel Collector
  • ITSI provides AIOps on the broader event stream
  • Enterprise-scale log aggregation and SIEM alongside metrics
Prometheus Considerations
  • Significant engineering overhead to connect Prometheus to Splunk
  • Data enters SPL — not PromQL-compatible after ingestion
  • AIOps not purpose-built for Prometheus metrics intelligence
See the full OpsPilot vs Splunk comparison →
⑦
● Limited
Digitate
TCS cognitive automation — enterprise IT process platform with minimal Prometheus ecosystem relevance

Digitate's ignio™ platform focuses on cognitive automation and IT process management within the TCS enterprise ecosystem. It is not designed for cloud-native Prometheus environments. For Kubernetes and microservices teams running Prometheus as their metrics layer, Digitate's architecture and integration model does not align with that stack. OpsPilot AI leads Digitate in 7 of 8 G2 categories — see the G2 comparison →

See the full OpsPilot vs Digitate comparison →
⑧
● Scrape Compatible
Site24x7
Infrastructure monitoring with Prometheus scraping capability — strong usability, limited AIOps depth on Prometheus data

Site24x7 supports Prometheus endpoint monitoring — it can check Prometheus metric endpoints and alert on values, making it useful for basic infrastructure health checks. However, this is monitoring of Prometheus rather than AIOps intelligence running on Prometheus data. There is no AI root cause analysis or autonomous operations layer that processes Prometheus metrics. Site24x7 scores highly on Ease of Use (9.6) and Likelihood to Recommend (9.7), reflecting its strong platform experience. OpsPilot AI leads on Support, Doing Business, and Setup — see the G2 comparison →

See the full OpsPilot vs Site24x7 comparison →
⑨
● Partial
PagerDuty
Incident management and on-call coordination — receives Prometheus Alertmanager alerts, operates downstream of AIOps

PagerDuty has a well-established integration with Prometheus Alertmanager — alerts fired by Prometheus rules can route directly to PagerDuty for on-call notification and escalation. This is a common and well-supported workflow for Prometheus teams. However, PagerDuty operates downstream: it receives the alert after Prometheus fires it and coordinates human response. It does not perform AIOps on Prometheus metrics, does not run AI root cause analysis, and does not provide autonomous operations on your Prometheus data. OpsPilot AI + PagerDuty is a natural combination — OpsPilot provides the upstream AIOps intelligence, PagerDuty handles downstream human coordination. OpsPilot leads in 7 of 8 G2 categories — see the G2 comparison →

See the full OpsPilot vs PagerDuty comparison →
⑩
● Scrape Compatible
Better Stack
Developer observability platform — Prometheus scraping supported for metrics ingestion, own visualization layer preferred

Better Stack supports Prometheus scraping via its metrics ingestion pipeline, allowing teams to send Prometheus metrics into Better Stack's platform for visualization and alerting. It is one of the more accessible platforms for teams wanting to consolidate Prometheus data alongside logs and uptime monitoring. However, Better Stack's own visualization layer is its primary interface rather than a PromQL-native environment, and there is no AIOps or AI SRE intelligence running on the Prometheus data — it is collection and display without autonomous operations. Better Stack has genuine strengths in Ease of Admin and Ease of Use. OpsPilot leads on Support and Doing Business — see the G2 comparison →

See the full OpsPilot vs Better Stack comparison →
At a Glance

All Platforms — G2 Scores & Prometheus Integration

G2 satisfaction scores and Prometheus integration tier for all ten platforms evaluated.

G2 score comparison: For the full category breakdown across all platforms in this guide, visit the individual G2 comparison pages linked throughout. Source: G2.com, Inc.
Data Sources & Methodology

OpsPilot AI G2 satisfaction scores are sourced from G2's verified review platform — 169 total reviews. Source: G2.com, Inc. No competitor G2 scores are reproduced on this page. For the full category score comparisons, visit the individual G2 comparison pages linked throughout this guide.

Prometheus integration tiers reflect publicly available product documentation, G2 user reviews, and known platform architecture as of 2026. Native indicates Prometheus AI SRE ships as a core product capability with no configuration required. Scrape Compatible indicates the platform can ingest Prometheus metrics but requires setup and is not a primary integration. Partial indicates some Prometheus data ingestion with meaningful limitations. Limited indicates minimal or no meaningful Prometheus ecosystem integration.

This guide was prepared for informational purposes. G2 scores and integration capabilities change over time. Data current as of 2026.

Frequently Asked Questions

Best AIOps Tools for Prometheus — Common Questions

What is the best AIOps tool for Prometheus in 2026? ▾

Based on G2 verified user satisfaction and Prometheus integration depth, OpsPilot AI is the strongest AIOps platform for Prometheus environments in 2026. It is the only platform in this evaluation where Prometheus AI SRE ships as a native product capability — reading your existing Prometheus metrics with no agents, no exporters, and no additional configuration. It scores 73.69 on G2 overall satisfaction with a perfect 10.0 Product Direction and 9.7 Quality of Support.

What is AIOps and how does it relate to Prometheus? ▾

AIOps applies artificial intelligence to IT operations workflows — correlating signals across metrics, logs, and traces to surface AI root cause analysis, reduce alert noise, and move teams toward autonomous operations. For Prometheus teams, AIOps means adding an intelligence layer on top of your existing metrics collection: the AI analyzes your PromQL data streams, correlates anomalies across services, and surfaces agentic operations recommendations rather than leaving engineers to spot issues on dashboards.

Do AIOps tools replace Prometheus? ▾

No. The best AIOps tools for Prometheus extend it — they add AI incident investigation, AI root cause analysis, and autonomous operations on top of the metrics Prometheus collects. OpsPilot AI reads your existing Prometheus data natively and adds the AIOps intelligence layer without replacing your collection pipeline, your PromQL alerting rules, or your Grafana dashboards. The goal is to give your existing Prometheus stack intelligent action — not to replace the metrics foundation your team already relies on.

What is the difference between AIOps and AI SRE for Prometheus? ▾

AIOps is the broader category — AI applied to IT operations, including event correlation, alert noise reduction, and anomaly detection across infrastructure data. AI SRE is more specific: AI that augments site reliability engineering workflows, including autonomous incident investigation, AI root cause analysis, health scoring, and agentic operations. For Prometheus teams, the distinction matters: AIOps tools may ingest Prometheus metrics for event correlation, while AI SRE tools like OpsPilot AI run Prometheus AI SRE — continuously analyzing your metrics and acting on them autonomously.

Can I use PagerDuty with Prometheus and OpsPilot together? ▾

Yes — this is a natural and common combination. Prometheus collects your metrics. OpsPilot AI adds AIOps intelligence upstream — AI incident investigation and AI root cause analysis on your Prometheus data before humans need to be paged. PagerDuty coordinates human response downstream when incidents do require escalation, and already integrates natively with Prometheus Alertmanager. All three serve different stages of the reliability workflow and work together effectively.

OpsPilot is the AI SRE teammate for teams using OpenTelemetry, Prometheus, Grafana, and existing observability stacks — helping engineers investigate incidents, find root cause, and move toward autonomous operations without replacing their tools. OpsPilot, formerly FusionReactor Cloud, is Intergral's AI-powered observability and AI SRE platform.

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