7 Grafana Alternatives in 2026 - SaaS, Self-Hosted, and Unified Observability

TL;DR

• SigNoz Cloud: Best for teams that want logs, metrics, and traces in one OpenTelemetry-native platform, with a shared query workflow and simple usage-based pricing.
• VictoriaMetrics: Best drop-in replacement for Prometheus when you need long-term metric storage, high-cardinality support, and lower resource usage than a standard Prometheus setup.
• Perses: Best dashboard-only alternative for teams that want a lightweight, GitOps-friendly visualization layer with dashboards-as-code and Kubernetes-native CRDs.

Grafana started out as a visualization tool but over time it has grown into a multi-tool observability stack, with Loki for logs, Tempo for traces, and Mimir for metrics. For a lot of teams, that means running several moving parts just to get a single view of their system.

Common challenges with Grafana

• Multiple backends to manage: For full-stack observability, Grafana relies on a suite of separate tools (Loki for logs, Tempo for traces, and Mimir for metrics). You have to configure and maintain each one, which adds operational overhead.
• Handling high-cardinality data: Using high-cardinality values such as user IPs as Loki stream labels creates many streams and can hurt performance. Loki uses structured metadata for these fields instead.
• Fragmented observability experience: Pulling data together across different backends makes the learning curve steeper and troubleshooting slower.

If that sounds familiar, you are not alone. In this article we look at the top 7 Grafana alternatives worth considering in 2026.

Top 7 Grafana Alternatives

Here are the 7 tools worth evaluating if you are looking to replace Grafana or the broader LGTM stack in 2026. The list covers open-source unified platforms, SaaS all-in-ones, and lightweight dashboard-only options, so you can pick the one that fits your stack and team size. If you are narrowing the decision by signal type or telemetry model, our roundups on Dynatrace alternatives and ELK alternatives are useful companion reads.

SigNoz Cloud

SigNoz Cloud is a fully managed observability platform that brings logs, metrics, and traces into one product. It replaces the storage, querying, and investigation work spread across the LGTM stack (Loki, Grafana, Tempo, Mimir), so your team can focus on debugging instead of operating four tools. Built on OpenTelemetry from day one, it works with vendor-neutral instrumentation rather than requiring a proprietary agent. If you need to operate the platform yourself, self-hosted SigNoz is also available.

Where SigNoz Cloud really pulls ahead is troubleshooting speed. In Grafana, going from a metric spike to the relevant logs means using Split View and making sure your Prometheus and Loki labels line up, which is easy to break. In SigNoz Cloud, logs, metrics, and traces share the same schema and datastore, so you click from a latency spike straight to the correlated traces and logs without switching tools or aligning labels. The columnar datastore handles high-cardinality data natively too, so you can filter on rich labels like customer_id without the query limits that Loki or Mimir users often hit.

SigNoz Cloud ships with curated dashboards and auto-generated APM metrics (latency, error rate, throughput) derived from your traces. Its Query Builder provides a common interface across logs, metrics, and traces, so engineers do not need to learn PromQL, LogQL, and TraceQL to start investigating. Autocomplete helps you find fields and values, while saved views let you return to useful filters without rebuilding a query.

That query workflow also exposes the OpenTelemetry context behind your data. Resource attributes such as service.name and span attributes such as http.route help narrow an investigation to one service and endpoint. Instrumentation scope, span events, span links, and trace identifiers provide the details needed to follow work across services. Metric metadata shows what is being collected, including metric types, sample counts, and cardinality.

Grafana Cloud maps OpenTelemetry metrics into its Prometheus/Mimir representation, while SigNoz Cloud makes OTel context available through the common Query Builder. Existing Prometheus exporters still fit: the OpenTelemetry Collector scrapes their endpoints, and you can query the ingested metrics with PromQL in dashboards. For both platforms, OpenTelemetry makes instrumentation and transport portable; stored history, dashboards, and query workflows still depend on the backend.

That same platform covers application and infrastructure monitoring. SigNoz Cloud has dedicated Kubernetes views for pods, nodes, and workloads, integrations for AWS, Azure, and GCP, and Linux host monitoring. This helps engineers check resource pressure alongside application errors and slow requests without maintaining a separate monitoring tool for each environment.

Developers can also use SigNoz Cloud's Agent Native Observability to connect telemetry to coding agents like Claude Code, Cursor, or GitHub Copilot through the SigNoz MCP Server. This lets them investigate production issues without leaving the IDE. Inside SigNoz Cloud, Noz lets engineers ask about logs, metrics, and traces in plain English and investigate the results.

On the pricing side, Grafana Cloud pricing mixes platform and user fees with usage-based telemetry charges and, for some products, host-hour pricing, whereas SigNoz Cloud uses a transparent usage-based pricing model tied to data ingested and retained, with no per-user surprises. Teams regularly report savings of around 45% compared to an equivalent Grafana setup.

Our worked pricing comparison uses example workloads to show how these billing models affect the total. For your own estimate, use identical telemetry volumes, users, and retention in the SigNoz Cloud calculator and Grafana Cloud's pricing calculator. The Grafana migration guide covers the next step.

Kibana

Kibana is the visualization layer for the ELK stack (Elasticsearch, Logstash, Kibana), built primarily for log search and analytics. Grafana connects to many data sources, while Kibana is tightly integrated with Elasticsearch for full-text search, ad-hoc log exploration, and aggregations.

Kibana makes the most sense for teams that already use Elasticsearch for log-heavy workloads. Elasticsearch's field indexing supports full-text search and aggregations, while Loki keeps its index small by indexing stream labels and uses structured metadata for high-cardinality fields. Kibana is less versatile if you need dashboards across non-ELK data sources. For teams that need to investigate logs alongside application traces and metrics, SigNoz Cloud brings those signals into one workflow.

Datadog

Datadog is a fully managed SaaS observability platform with 1,000+ built-in integrations that work out of the box. The biggest contrast with Grafana is setup time. Grafana requires you to pick, deploy, and wire together separate backends for logs, metrics, and traces, while Datadog gives you infrastructure monitoring, log management, and APM in a single product with minimal configuration.

Datadog offers managed backends and pre-built dashboards for common stacks. The catch is that its per-host and per-GB charges can add up quickly at scale; our Datadog pricing guide explains the main billing dimensions. Datadog's own agent remains central to its product experience. Moving Datadog-specific instrumentation and monitors takes work, while teams already using OpenTelemetry can reuse that instrumentation. It is a managed option with a broad integration catalogue.

New Relic

New Relic is a full-stack observability platform with deep roots in application performance monitoring. While Grafana takes a metrics-first approach where you build dashboards on top of Prometheus data, New Relic takes a code-first angle with strong visibility into function-level performance, stack traces, and error grouping, all available without stitching together separate tools.

New Relic's APM tools include error grouping, which helps engineers investigate related failures together. Grafana Cloud also has application views and service maps, but the investigation workflow differs between the two products. New Relic offers data-plus-user or data-plus-compute pricing models. It supports OpenTelemetry, but many of its product workflows and features still depend on New Relic-specific configuration and agents.

VictoriaMetrics

VictoriaMetrics is an open-source time-series database designed as a drop-in replacement for Prometheus with better long-term storage, higher ingestion rates, and lower resource usage. It is a metrics backend that can sit behind existing Grafana dashboards, with VMUI available for exploration. The reason it appears on this list is that replacing Prometheus with VictoriaMetrics solves one of Grafana's biggest pain points, specifically the storage and high-cardinality limits that teams hit when Prometheus alone cannot keep up.

VictoriaMetrics fits best when the core issue with the Grafana stack is metrics scalability, not the visualization layer. It uses Prometheus-compatible MetricsQL, accepts remote-write from Prometheus, and is designed for high-cardinality workloads. Whether it outperforms Mimir depends on your operational model, scale profile, and cost constraints, so evaluate both for your setup. Keep in mind that VictoriaMetrics only covers metrics, so you still need separate solutions for logs and traces and a dashboard tool on top.

OpenObserve

OpenObserve is an open-source observability platform for logs, metrics, traces, and real user monitoring (RUM). It offers a compact single-node deployment, with a separate high-availability setup for production resilience. Its columnar storage uses object stores such as S3. This reduces reliance on separate databases for each signal, but total cost still depends on the workload and deployment.

OpenObserve appeals to teams that want a self-hosted, unified alternative without the operational complexity of the LGTM stack. It uses SQL for logs and PromQL for metrics, and it ingests data via OpenTelemetry. It is newer than Grafana though, with a smaller plugin and community ecosystem and fewer out-of-the-box integrations, so it works best when storage cost and deployment simplicity are the top priorities.

Perses

Perses is a CNCF Sandbox dashboarding tool that targets Grafana's visualization layer specifically, not the full observability stack. Its core differentiator is dashboards-as-code with first-class support for Kubernetes CRDs and GitOps workflows. Where Grafana dashboards are typically managed through a UI and exported as JSON, Perses treats dashboards as version-controlled resources that can be reviewed, tested, and deployed through your existing CI/CD pipeline.

Perses makes sense when dashboard governance and reproducibility matter more than plugin breadth. It is Apache 2.0 licensed, standards-oriented, and designed so that dashboard definitions are portable rather than locked into a single tool. It is younger than Grafana though, with fewer panel types and community plugins, and it does not include alerting or data storage, so it fits best if you already have a metrics backend like Prometheus and just want a lightweight, code-driven dashboard layer on top.

Top Grafana Alternatives at a Glance

If your evaluation is really about specific parts of the Grafana ecosystem, it also helps to compare Loki alternatives for log pipelines and read OpenTelemetry vs Prometheus for the instrumentation and metrics-storage tradeoffs behind many Grafana deployments.

Getting started with SigNoz Cloud

You can pick between several deployment options. The easiest way to get started is SigNoz Cloud, which comes with a 30-day free trial and full feature access.

For enterprise requirements, dedicated Enterprise Cloud provides a dedicated environment managed by SigNoz. Managed BYOC runs in your cloud account, with SigNoz operating the deployment.

If your team needs to operate the platform, choose enterprise self-hosted SigNoz for enterprise features and support. Your team manages infrastructure, storage, scaling, upgrades, and backups. The MIT-licensed Community Edition of self-hosted SigNoz is the free software option, with infrastructure and operations managed by your team.

Frequently Asked Questions

Is Grafana free if you self-host it?

Yes. Grafana OSS is free and open source under AGPLv3, but you pay for infrastructure and the work to operate it. Grafana Cloud also has a free plan with usage limits, followed by paid plans.

What is the best open-source alternative to Grafana?

Self-hosted SigNoz is a unified alternative if you need logs, metrics, and traces. Perses is a lighter option if you only need a dashboard layer over Prometheus, and Kibana is a good option for Elasticsearch-led log analysis.

What is the best Grafana alternative for Kubernetes?

SigNoz Cloud is a good choice for Kubernetes teams that want application and infrastructure signals in one OpenTelemetry-native workflow. VictoriaMetrics is a metrics-backend option if your main pain is scaling Prometheus, and Perses covers dashboards-as-code via CRDs.

Can I replace Grafana without replacing Prometheus?

Perses can query your existing Prometheus server. SigNoz Cloud can reuse your Prometheus exporters by scraping their metrics through the OpenTelemetry Collector, then query the ingested metrics with PromQL in dashboards. This keeps the exporters, but it is not a direct query of your existing Prometheus server. Choose based on whether you want to keep Prometheus as the backend or bring those metrics into a unified platform.

What is the best dashboard-only alternative to Grafana?

Perses is the closest open-source option, with dashboards-as-code and a Kubernetes-native workflow. Commercial tools like SquaredUp focus on the dashboard layer without trying to replace the backend.

Who are Grafana Labs' main competitors?

SigNoz Cloud, Datadog, New Relic, Dynatrace, Elastic, OpenObserve, and Perses are alternatives to Grafana Labs' products. SigNoz Cloud combines logs, metrics, and traces in one managed platform; Perses focuses on the dashboard layer.

What is the problem with Grafana?

The common complaints are the cost of running the LGTM stack as four separate systems, performance problems from high-cardinality Loki stream labels, brittle correlation when labels do not line up, and complicated Grafana Cloud pricing. Grafana is primarily a visualization and analysis layer rather than a storage backend, so you still need separate systems like Loki, Tempo, and Mimir for logs, metrics, and traces.

Can SigNoz Cloud replace Grafana?

Yes. SigNoz Cloud handles storage, querying, alerting, and visualization for metrics, logs, and traces in one managed product, so you do not need Loki and Tempo alongside it.

Hope this guide helps you find the right Grafana alternative for your team. If you want a deeper side-by-side, check out our SigNoz Cloud vs Grafana comparison.

If you have more questions, feel free to use the SigNoz AI chatbot, or join our slack community.

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