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.
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).
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.
Best AIOps Tools for Prometheus in 2026
Ten platforms evaluated. Ranked by G2 overall satisfaction where available, with Prometheus integration tier shown for each.
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 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
- 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
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 (+1.1), Setup (+0.6), and Doing Business (+1.0).
- 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
- 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
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 (+1.5) and Setup (+1.3), with a 15.48-point G2 overall satisfaction advantage.
- Prometheus endpoint scraping supported
- Broad infrastructure and network monitoring alongside metrics
- Established enterprise customer base
- Prometheus not a primary integration — configuration required
- Infrastructure-first rather than AIOps or AI SRE-first
- Limited autonomous operations on Prometheus data
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.
- Mimir for long-term Prometheus metrics storage
- PromQL-native visualization via Grafana
- Massive Prometheus exporter ecosystem and community
- Strong Product Direction score (8.9)
- 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
Sentry scores 55.23 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 (+1.2) and Setup (+0.7).
- Best-in-class developer error tracking and release monitoring
- Strong Product Direction (9.2) — active development roadmap
- Complements Prometheus at the application error layer
- 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
Splunk scores 41.90 on G2 overall satisfaction — 31.79 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.
- 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
- Significant engineering overhead to connect Prometheus to Splunk
- Data enters SPL — not PromQL-compatible after ingestion
- AIOps not purpose-built for Prometheus metrics intelligence
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, with the largest advantages in Product Direction (+2.2) and Setup (+1.7).
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 (+0.9), Doing Business (+1.1), and Setup (+0.4).
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, with the largest gap in Product Direction (+1.8).
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 scores exceptionally on Ease of Admin (9.6) and Ease of Use (9.5). OpsPilot leads on Support (+0.8) and Doing Business (+0.8).
All Platforms — G2 Scores & Prometheus Integration
G2 satisfaction scores and Prometheus integration tier for all ten platforms evaluated.
| Platform | G2 Overall | Support | Product Direction | Prometheus Integration |
|---|---|---|---|---|
| OpsPilot AI | 73.69 | 9.7 | 10.0 | ● Native |
| New Relic | 70.60 | 8.6 | 8.6 | ● Scrape Compatible |
| SolarWinds APM | 58.21 | 8.2 | 8.1 | ● Scrape Compatible |
| Grafana Labs | 55.31 | 8.0 | 8.9 | ● Scrape Compatible |
| Sentry | 55.23 | 8.5 | 9.2 | ● Limited |
| Splunk | 41.90 | 8.4 | 7.9 | ● Partial |
| Digitate | — | 8.4 | 7.8 | ● Limited |
| Site24x7 | — | 8.8 | 9.9 | ● Scrape Compatible |
| PagerDuty | — | 8.8 | 8.2 | ● Partial |
| Better Stack | — | 8.9 | 9.6 | ● Scrape Compatible |
All G2 satisfaction scores are sourced from G2's verified review platform. OpsPilot AI data reflects 169 total reviews with 11 in the last 90 days, overall satisfaction 73.69. Support and Product Direction scores for all platforms have been verified via G2 comparison pages. Overall G2 satisfaction scores are not available for Digitate, Site24x7, PagerDuty, and Better Stack at time of publication.
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.
Best AIOps Tools for Prometheus — Common Questions
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.