Buyer’s Guide - October 2026

The 11 best Grafana alternatives in 2027

Q: Is Grafana itself free?

Grafana OSS is open source (AGPLv3) with no license fee, but the full stack needs Prometheus or Mimir, Loki and Tempo deployed and operated, so the real cost is engineering time and infrastructure. Grafana Cloud is usage-based with a limited free tier, and costs grow with active series, gigabytes ingested and spans. Self-hosted Grafana is not free to run; it is free to download.

Q: Can I replace Grafana but keep Prometheus?

Yes. VictoriaMetrics is a PromQL-compatible drop-in that keeps existing queries and dashboards working, and Perses is a lightweight Apache-2.0 CNCF dashboard layer with dashboards-as-code. This path fixes backend scaling or the dashboard layer, but it keeps the multi-tool assembly - you are still operating several systems.

Q: Which Grafana alternatives support OpenTelemetry?

Native OpenTelemetry support: SigNoz, Honeycomb, OpenObserve, Elastic and Netdata (OTLP over gRPC and HTTP on the same agent that collects metrics and logs). Partial: Datadog, New Relic and Dynatrace support OTel but favor their own agents and semantics. Vendor-neutral OTel instrumentation is the hedge against lock-in, whichever platform you choose.

Grafana is a visualization layer, not a monitoring product: the value lives in the Prometheus, Loki, Tempo and Mimir backends you deploy and operate behind it. The teams leaving are usually escaping that assembly work, the three query languages, or a Grafana Cloud bill that grows with every series and span. This ranking grades the alternatives to Grafana on how much of that stack they actually replace, not on how pretty the dashboards are.

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The 11 best Grafana alternatives in 2027 product interface

Why this list exists

Grafana earned its position honestly. It is the most flexible dashboard layer ever built, it renders data from virtually any source, and the public dashboard and plugin ecosystem is unmatched. If your estate is already instrumented and your team is fluent in PromQL, LogQL and TraceQL, nothing on this page will make you faster.

But a growing share of Grafana users did not choose that architecture; they inherited it. What they actually run is four or more systems (Prometheus or Mimir for metrics, Loki for logs, Tempo for traces, Grafana on top) that each need deployment, versioning, scaling and security work. Reference comparisons and practitioner threads converge on the same complaints: the operational burden of the LGTM stack, three separate query languages to learn, self-hosted scaling that demands real expertise, Loki struggling with high-cardinality log data, and Grafana Cloud costs that climb with every active series, gigabyte and span.

The mistake buyers make is comparing Grafana-the-dashboard against full observability platforms, or assuming every alternative replaces the same thing. They do not. The honest comparison is “Grafana plus the backends you operate” versus “one platform that collects, stores, queries and renders.” For a detailed head-to-head, see our Netdata vs Grafana comparison.

Three dimensions decide the switch:

What you are actually replacing. The whole stack (Netdata, Datadog, SigNoz, OpenObserve), just the metrics backend (VictoriaMetrics, Chronosphere), just Loki (Elastic, OpenObserve, SigNoz), or just the dashboard layer. Pick the wrong scope and you migrate twice.
How much you are willing to operate. Self-hosted open source removes the license line and adds an operations line. SaaS removes operations and adds per-host, per-GB or per-event meters. There is no free option, only different places to pay.
What happens to your dashboards and history. PromQL-compatible stores keep metric queries alive; almost nothing imports Grafana dashboard JSON. Loki and Tempo history stays in the old backends until retention lapses.

A note on pricing: we do not quote competitor list prices in this guide. List prices for usage-metered observability platforms are poor predictors of real bills, and they change often. Each card links the vendor’s official pricing page; model your own volumes against those before shortlisting. The only figures we state are Netdata’s own.

The shortlist of Grafana competitors was assembled from the vendors that consistently appear in practitioner discussions (r/devops, r/sre, r/PrometheusMonitoring) and in the major comparison posts from OpenObserve, Honeycomb and SigNoz, filtered to tools that genuinely replace the Grafana stack for monitoring and observability. Pure business-intelligence dashboard tools were excluded.

Weighting follows the reasons teams actually leave. Operational simplicity and signal coverage carry the most weight, because assembling and stitching the LGTM stack is the dominant complaint. Query flexibility and collection resolution follow, then pricing predictability. Ecosystem maturity is deliberately weighted lowest: it is the reason people stay with Grafana, not the reason they leave, so scoring it heavily would flatter the incumbent.

Tester credit

Compiled by the Netdata team - Updated October 14, 2026

Sources verified

Scoring criteria

Operational simplicity (time to a working observability stack) 20%
How much infrastructure stands between install and a fleet-wide view.
Signal coverage: metrics, logs, traces in one place 20%
Whether the tool natively ingests, stores and correlates all three signals.
Query language and dashboard flexibility 15%
Expressive ad-hoc querying, and whether existing dashboards must be rebuilt.
Collection resolution and per-node insight 15%
Default metric resolution and out-of-the-box per-node, per-container, per-process visibility.
OpenTelemetry and interoperability 10%
Native OTLP ingestion and the ability to read existing backends during migration.
Pricing predictability and total cost 15%
How predictable the bill is and what makes it grow: hosts, GB, seats, cardinality.
Ecosystem maturity and community 5%
Integrations, community size and migration tooling; weighted low by design.

Vendor 01 / 11 · #netdata

Netdata

One agent collects per-second metrics, logs and traces, with dashboards, ML anomaly detection and alerts generated automatically - the LGTM assembly, removed.

Best for

Teams that want per-second infrastructure and Kubernetes monitoring with zero dashboard assembly
Organizations replacing the whole LGTM stack with one agent and one UI
SRE teams that want ML anomaly detection and alerts that work out of the box

Pricing

Per-node pricing: Netdata Cloud Business starts at $4.5/node/month on annual plans, and the per-node price decreases as node count grows
Agents are open source under GPLv3+ and free to run self-hosted; the Community plan is free for personal, non-commercial use with up to 5 active connected nodes, and businesses use the open-source Agent or Netdata Cloud Business (14-day trial)
Not billed: metrics volume, Logs Monitoring (querying logs in place), users, data retention, containers
Predictable per-node pricing for infrastructure monitoring, in a category where competitors bill per GB, per span or per seat

Pros

Per-second metric collection by default, versus the 15-60s scrape intervals typical of Prometheus-based stacks
Thousands of metrics auto-collected per node (systems, containers, processes, network, applications) with dashboards generated automatically - no panel building
One agent ingests metrics, logs and traces: OpenTelemetry traces over OTLP (gRPC and HTTP) are stored and indexed on your own agents and explored in the Netdata Cloud Traces tab with a duration heatmap, RED analysis, waterfall and span details
Logs Monitoring queries the operating systems’ own log stores in place (systemd-journal, Windows Event Log, macOS unified logs) with no shipping pipeline; Logs Management collects any source through the OpenTelemetry Collector into an indexed store
Unsupervised ML anomaly detection runs on the node itself, so raw telemetry never leaves the host and models adapt as infrastructure changes
Default multi-tier dbengine retains up to about 2 years of metrics on-node out of the box

Where it falls short

No equivalent of Grafana’s public dashboard library and plugin marketplace: teams with heavily invested custom Grafana dashboards must rebuild them
APM-first competitors (Datadog, New Relic, Dynatrace) go deeper on code-level and continuous profiling; Netdata does distributed tracing on OpenTelemetry rather than a full APM suite
Netdata’s third-party integration catalog is smaller than Grafana’s data-source ecosystem, which can visualize virtually any backend

Verdict

Netdata leads this list because it removes the exact things teams cite when they leave Grafana: there is no LGTM stack to assemble, no dashboards to build, no PromQL to learn before you get value. Install one agent and you get per-second metrics, logs queried in place, OpenTelemetry traces, ML anomaly detection and alerting, with up to about two years of on-node retention. The honest caveat is scope: Netdata is a monitoring platform, not a visualization layer over arbitrary data sources. If your core asset is a large library of custom Grafana dashboards over heterogeneous backends, those dashboards must be rebuilt - and for that specific use, Grafana remains hard to beat. For everyone whose Grafana estate exists to monitor infrastructure and Kubernetes, this is the shortest path off the stack.

Start free -> See Netdata vs Grafana ->

Vendor 02 / 11 · #datadog

Datadog

Fully managed SaaS observability with 1,000+ integrations: the ‘buy instead of build’ answer to the LGTM stack.

Best for

Teams that want zero operational burden and broad out-of-the-box coverage
Organizations standardizing on one vendor for infra, APM, logs, RUM and synthetics
Enterprises with budget for a premium platform

Pricing

SaaS only; per-host pricing for infrastructure monitoring, with separate meters per capability (APM spans, logs per GB, RUM sessions, synthetics checks)
The bill grows with host count and with every additional capability turned on; each signal is priced separately
Free tier exists but is capped by host count and retention

Pros

1,000+ built-in integrations that work out of the box
Unified platform: metrics, logs, traces, RUM and synthetics with no backends to operate
Mature APM with code-level insights, profiling and session replay
Large enterprise feature set including security and compliance tooling

Cons

Widely cited as expensive at scale; per-host plus per-signal pricing makes costs hard to predict as fleets grow
Partial OpenTelemetry support; instrumentation leans toward Datadog agents and proprietary semantics
SaaS only - no self-hosted option for data-sovereignty requirements

Verdict

Moving from Grafana to Datadog means deleting the LGTM stack entirely and replacing it with one agent and vendor-managed backends; dashboards must be rebuilt in Datadog’s UI or Terraform provider, and PromQL and LogQL queries do not carry over. What you get is the broadest out-of-the-box coverage on this list: metrics, logs, traces, RUM and synthetics on one platform, with no backends to operate. What you trade is Grafana’s openness and a bill that compounds per host and per capability. If the goal is to stop operating observability infrastructure and the budget exists, Datadog is the most-considered commercial alternative for a reason.

Read full Netdata vs Datadog -> Datadog pricing ->

Vendor 03 / 11 · #newrelic

New Relic

Full-stack observability with deep APM roots and one query language (NRQL) across metrics, events, logs and traces.

Best for

Teams that want comprehensive APM without assembling a Grafana stack
Engineering orgs that prefer one correlated platform for MELT signals
Small-to-mid teams starting on the free data allowance

Pricing

Usage-based: billed on provisioned full-platform users, GB ingested, and compute capacity units above the included free data allowance
Two data options with different per-GB rates and retention levels; EU data center storage costs extra
Synthetics checks beyond the included amount are metered per check

Pros

Deep APM with function-level performance and stack traces
Metrics, events, logs and traces correlated in one platform rather than separate backends
NRQL is a single expressive query language across all signals, versus learning PromQL, LogQL and TraceQL
AI-driven anomaly detection and root-cause analysis features

Cons

Partial OpenTelemetry support
Can be expensive for smaller teams once ingest grows past the free allowance
Less flexible for custom infrastructure dashboards over heterogeneous data sources; SaaS only

Verdict

For application-centric teams, New Relic replaces the whole LGTM stack with one platform and one query language, which directly answers the ’three languages to learn’ complaint. Migration means pointing agents or OpenTelemetry SDKs at New Relic and rebuilding dashboards in NRQL; Loki and Tempo history stays behind until retention lapses. It is weaker than Grafana for bespoke infrastructure dashboards over many data sources, and costs scale with ingest once you pass the free allowance. A pragmatic SaaS choice when APM depth matters more than dashboard freedom.

Read full Netdata vs New Relic -> New Relic pricing ->

Vendor 04 / 11 · #signoz

SigNoz

Open-source, OpenTelemetry-native observability that unifies logs, metrics and traces on a single ClickHouse store.

Best for

Teams that want an open-source LGTM replacement without managing four backends
OpenTelemetry-first organizations
Teams that want SQL-style log queries instead of LogQL

Pricing

Open source community edition, self-hosted - you run and operate it
Cloud edition is usage-based per GB of traces and logs ingested and per million metric samples, with retention tiers
The bill grows with ingest volume and retention, not host count

Pros

Ingests logs, metrics and traces on a single ClickHouse datastore
OpenTelemetry-native instrumentation end to end
Query builder that does not require PromQL or LogQL expertise
Both self-hosted and cloud deployment options

Cons

Newer and smaller community and ecosystem than Grafana
Fewer out-of-the-box integrations and dashboard templates than the Grafana ecosystem
Self-hosted ClickHouse operations still require real expertise at scale

Verdict

SigNoz is the most direct open-source substitute for the full LGTM stack: one backend instead of four, one UI, and PromQL-style metric queries that ease migration off Prometheus. Dashboards must be rebuilt, and it visualizes its own store rather than arbitrary data sources, so multi-source Grafana setups lose that flexibility. The trade against a managed SaaS is that self-hosted ClickHouse at scale is real operational work. For OTel-first teams who want to own their stack without the LGTM sprawl, this is the strongest open-source pick.

Read full Netdata vs SigNoz -> SigNoz pricing ->

Vendor 05 / 11 · #victoriametrics

VictoriaMetrics

High-performance, PromQL-compatible metrics store that fixes the scaling and cost problems of the Grafana metrics backend.

Best for

Teams whose Prometheus/Mimir backend is the pain point, not the dashboard
High-cardinality, high-ingest environments where Prometheus resource use is unsustainable
Organizations that want PromQL compatibility with lower resource usage

Pricing

Open source core (Apache 2.0), self-hosted - you run and operate it; Enterprise edition adds clustering and advanced features under a commercial license
VictoriaMetrics Cloud is pay-as-you-go monthly or annual, priced on managed capacity
The bill grows with ingestion rate, active series and retention, not hosts or seats

Pros

Drop-in Prometheus replacement with PromQL compatibility
Long-term metric storage with high-cardinality support and lower resource usage than standard Prometheus setups
Companion products cover the stack: VictoriaLogs (LogsQL) and VictoriaTraces
Pairs with any visualization layer, including Grafana itself or its own vmui

Cons

Not a complete observability UI: you still need a dashboarding layer, so it replaces Grafana’s backends more than Grafana itself
Alerting and dashboards require additional components or tooling
Smaller ecosystem of prebuilt dashboards and integrations than Grafana’s

Verdict

If your real problem is the metrics backend, this is the lowest-friction migration in the list: point existing scrape jobs or vmagent at VictoriaMetrics and your PromQL queries and Grafana dashboards keep working. The catch is in the sentence - Grafana stays in the picture. VictoriaMetrics fixes scaling and cost; it does not reduce the number of tools you operate. Adopt it when the dashboard layer is fine and the store is burning money or falling over; look elsewhere if the assembly itself is the pain.

Read full Netdata vs VictoriaMetrics -> VictoriaMetrics pricing ->

Vendor 06 / 11 · #elastic

Elastic Observability (ELK / Kibana)

The Elastic Stack with Kibana: search-first log analytics plus APM and metrics, and the project Grafana originally forked from.

Best for

Teams already running Elasticsearch who want dashboards without new infrastructure
Log-centric organizations that need full-text search and aggregations
Buyers who want security (SIEM) and observability on one stack

Pricing

Self-hosted basic features under Elastic License 2.0 with open-source components - you run and operate it; paid tiers priced on nodes and RAM
Elastic Cloud is usage-based pay-as-you-go or prepaid
The bill grows with indexed data volume, retention and RAM; log storage at scale is the dominant cost driver

Pros

Industry-leading full-text log search and field indexing with aggregations
Kibana dashboards, Elastic APM, and native OpenTelemetry support
Both self-hosted and cloud deployment options
Mature, huge ecosystem and community

Cons

More operational work than Grafana Cloud or SaaS alternatives
Kibana is less versatile for dashboards across non-ELK data sources
Storage costs for high-volume logs are a well-known pain point versus columnar alternatives

Verdict

Elastic is the strongest answer when the search is really for a Loki alternative: Elasticsearch indexes far more log fields than Loki’s label-based model, and if you already ship logs to it, Kibana replaces Grafana’s Loki panels directly. Metrics from Prometheus can be ingested via Elastic agents, but PromQL dashboards must be rebuilt in Kibana’s Lens and KQL. As a full Grafana replacement it is heavier to operate than anything SaaS on this list. Pick it for search depth and an existing Elasticsearch estate, not for operational simplicity.

Read full Netdata vs Elastic -> Elastic pricing ->

Vendor 07 / 11 · #openobserve

OpenObserve

Open-source single-binary platform for logs, metrics, traces and frontend monitoring on columnar object storage.

Best for

Teams that want one self-hosted platform instead of four LGTM components
Cost-sensitive high-volume log workloads
Data-sovereignty deployments on your own infrastructure

Pricing

Open source core (AGPL-3.0), self-hosted single binary - you run and operate it
Cloud edition is per-GB ingested with no per-host or per-seat fees
The bill grows with ingest volume; object-store backing (e.g. S3) keeps storage costs down at scale

Pros

Single platform for logs, metrics, traces and frontend monitoring - replaces Prometheus, Loki, Tempo and Grafana in one deployment
SQL for logs and PromQL for metrics, ingesting via OpenTelemetry
Columnar storage on object stores with high compression, aimed at sharply lower storage cost than the LGTM stack (vendor claim)
Handles high-cardinality log data that Loki struggles with at scale

Cons

Newer than Grafana with a smaller plugin and community ecosystem and fewer out-of-the-box integrations
AGPL-3.0 license can be a blocker for some commercial embedders
Younger project; long-term operational track record at very large scale is thinner than Elastic or Grafana

Verdict

OpenObserve is the most aggressive ‘replace everything’ open-source option and a frequent Loki-alternative recommendation, because columnar storage on object stores attacks the two costs that hurt most: log volume and cardinality. The trade is ecosystem maturity: fewer integrations, fewer templates, and a younger operational track record than Elastic or Grafana. If you can live on the leading edge and your pain is LGTM sprawl plus log cost, it deserves a serious evaluation.

OpenObserve site -> OpenObserve pricing ->

Vendor 08 / 11 · #dynatrace

Dynatrace

Enterprise observability with automatic OneAgent instrumentation and Davis AI root-cause analysis, eliminating manual stack configuration.

Best for

Large enterprises wanting automatic full-stack instrumentation
Organizations that want AI-assisted root-cause analysis out of the box
Hybrid SaaS/on-prem requirements

Pricing

Dynatrace Platform Subscription: minimum annual spend commitment consumed against a usage rate card
Consumption-based on ingest and compute; unlimited seats with no per-user fees
The bill grows with data ingest and consumed capabilities, not seats; quote-driven enterprise pricing

Pros

Automatic instrumentation via OneAgent eliminates manual data-source and dashboard configuration
Davis AI for root-cause analysis across signals
Unlimited seats - no per-user fees
Hybrid deployment options including managed/on-prem

Cons

High-cardinality support is limited compared with Honeycomb-class tools
Partial OpenTelemetry support; the platform favors its own agent semantics
Premium enterprise pricing with annual commitments; overkill for small teams

Verdict

Migrating from Grafana to Dynatrace means deploying OneAgent across hosts and letting the platform build its own entities, dashboards and DQL queries; your Grafana dashboards and PromQL/LogQL work do not carry over. In return, enterprises get the least manual configuration of any tool here and AI-assisted root-cause analysis that would take real engineering to approximate with an LGTM stack. The pricing model requires annual commitments and suits large organizations; cost-sensitive or OSS-first teams should look higher up this list.

Read full Netdata vs Dynatrace -> Dynatrace pricing ->

Vendor 09 / 11 · #honeycomb

Honeycomb

Observability built for high-cardinality debugging of distributed systems via wide structured events and traces, not pre-built dashboards.

Best for

Engineering teams debugging modern distributed systems with OpenTelemetry traces
Teams that outgrew dashboard-driven monitoring and want exploratory analysis
Organizations prioritizing high-cardinality query performance

Pricing

SaaS only; usage-based on events ingested, with a free tier capped by event volume and retention
Pro and Enterprise plans; Enterprise adds private cloud, SLO APIs and support tiers
The bill grows with event volume and retention

Pros

Best-in-class high-cardinality support for ad-hoc questions over wide events
OpenTelemetry-native instrumentation
Query-first debugging workflow rather than pre-built dashboards
Budget-control features aimed at predictable observability spend

Cons

Metrics and logs are secondary to traces and events
SaaS only - no self-hosted deployment for data-sovereignty needs
Not a like-for-like Grafana replacement for infrastructure dashboards over many data sources

Verdict

Honeycomb solves a different problem than Grafana: exploratory debugging instead of dashboarding. Migration means instrumenting with OpenTelemetry SDKs and shifting the workflow from panels to queries over wide events - there is no dashboard equivalent to migrate to. Include it in your shortlist if the honest diagnosis is that your team debugs novel failure modes in distributed systems and dashboards were never the right tool. Skip it if you need infrastructure dashboards, host monitoring or on-prem deployment.

Read full Netdata vs Honeycomb -> Honeycomb pricing ->

Vendor 10 / 11 · #zabbix

Zabbix

Mature open-source infrastructure monitoring with built-in dashboards, alerting and auto-discovery in one self-contained product.

Best for

Traditional infrastructure and network monitoring (SNMP devices, servers, VMs)
Organizations wanting one self-contained OSS product with alerting included
Teams replacing Grafana+Prometheus+Alertmanager assembly with a single product

Pricing

Open source software with no license fee and no host, metric or user limits in the open-source edition - you run and operate it
Optional paid subscriptions priced on support coverage, SLAs and services, not on hosts or metrics
Zabbix Cloud available with a free trial and hosted pricing

Pros

Complete product: collection, storage, dashboards, alerting and auto-discovery in one
Very broad out-of-the-box monitoring templates for hardware, network devices and OSes
No license fee and no per-host or per-metric limits in the open-source edition
Long track record and enterprise support options

Cons

Default item collection interval is typically around one minute and configurable, far coarser than per-second tools
UI and dashboarding are utilitarian compared with Grafana’s flexibility; weak for application/APM signals
Not OpenTelemetry-native; modern cloud-native telemetry needs extra plumbing

Verdict

Zabbix is the classic answer in Reddit threads on open-source Grafana alternatives, and for traditional estates it deserves the recommendation: one product replaces Grafana, Prometheus and Alertmanager, with no license fee. Migration means rebuilding dashboards and PromQL alerts as Zabbix items, triggers and screens. It is not a fit for cloud-native or APM-centric teams - there is no OTel-native story and minute-level defaults leave fast-moving systems under-resolved. Right tool for server rooms and network closets, wrong one for Kubernetes.

Read full Netdata vs Zabbix -> Zabbix subscriptions ->

Vendor 11 / 11 · #chronosphere

Chronosphere

Observability platform from the original M3/Prometheus lineage, built for enterprises controlling cost by paying only for retained, useful data.

Best for

Large enterprises with runaway observability costs on per-ingest platforms
Organizations with very high metric volumes that need control-plane cost governance
Teams standardizing on Prometheus-compatible storage at scale

Pricing

Two pricing models: consumption and capacity; custom, quote-based enterprise pricing
Charges for the useful data you choose to retain (persisted writes, measured in data points per second) rather than per host, user or raw ingest
The bill grows with retained data points, not hosts or seats

Pros

Persisted-writes pricing model: you pay for aggregated data actually stored, not everything emitted
Prometheus-native heritage (built by the M3 team) with a strong scaling story
Cost-control tooling and data lifecycle management built into the platform

Cons

Enterprise quote-based pricing; not accessible to small teams
Primarily metrics-centric; logs and traces coverage is narrower than unified platforms
No self-serve free tier comparable to Grafana OSS

Verdict

Chronosphere is a niche but credible alternative for enterprises whose Grafana and Mimir metrics bill or scale is the core problem. Migration is eased by PromQL compatibility - point existing remote-write at Chronosphere - but Grafana dashboards must be rebuilt in its UI, and logs and traces coverage is narrower than the unified platforms here. If you are not operating Prometheus at very large scale, the quote-only model and enterprise focus make it a poor fit; if you are, the persisted-writes pricing model is worth a conversation.

Read full Netdata vs Chronosphere -> Chronosphere pricing model ->

Frequently asked questions

What is the best Grafana alternative in 2027?

Netdata is the best Grafana alternative in 2027 for infrastructure monitoring: one agent replaces the LGTM assembly with automatic per-second dashboards, logs and traces. The right pick still depends on which part of Grafana hurts. If you are replacing the whole stack, look at Netdata, SigNoz, OpenObserve or Datadog. If the pain is the metrics backend, VictoriaMetrics is the lowest-friction fix. If it is Loki and logs, Elastic, OpenObserve or SigNoz. If only the dashboard layer bothers you, dashboard-only projects like Perses exist.

What are the best open-source Grafana alternatives?

The strongest open-source options are SigNoz (OpenTelemetry-native, single ClickHouse store), OpenObserve (single binary, AGPL-3.0), VictoriaMetrics (Prometheus-compatible metrics store), Zabbix (self-contained infrastructure monitoring) and Elastic/Kibana (search-first). Remember that open source is a distribution model, not a price: self-hosting means you run, scale and operate it yourself, and that operational cost is real.

What are the best Grafana Loki alternatives?

The best Grafana Loki alternatives are Elastic/Elasticsearch (full-text field indexing), OpenObserve (columnar storage on object stores with SQL queries), SigNoz (ClickHouse log store), VictoriaLogs (LogsQL), and Datadog or New Relic log management for SaaS buyers. Teams replace Loki mainly because it struggles with high-cardinality log data at scale and indexes only small label sets rather than log content. Netdata takes a different path: Logs Monitoring queries the OS’s own log stores in place (systemd-journal, Windows Event Log, macOS unified logs) with no shipping pipeline, and Logs Management collects any source through the OpenTelemetry Collector into an indexed store.

Is Grafana itself free?

Can I replace Grafana but keep Prometheus?

How hard is migrating away from Grafana?

It depends on how much you replace. VictoriaMetrics is the lowest-friction move: PromQL queries and Grafana dashboards keep working. Full-stack replacements (Netdata, SigNoz, Datadog, New Relic) require rebuilding dashboards and re-pointing instrumentation, mostly via OpenTelemetry, which keeps your instrumentation vendor-neutral. Loki and Tempo history does not migrate; it stays in the old backends until retention lapses, so plan a parallel-run period.

Which Grafana alternatives support OpenTelemetry?

Are Grafana alternatives cheaper than Grafana Cloud?

Sometimes, but the billing shape matters more than the sticker. Self-hosted OSS shifts cost from license to operations. SaaS alternatives bill differently: per-host (Datadog), per-GB (New Relic, SigNoz Cloud, OpenObserve), per-retained-data-point (Chronosphere), or per-node (Netdata, from $4.5/node/month on annual plans). We deliberately quote no competitor list prices here - model your own volumes against each vendor’s official pricing page, linked from every card above. Netdata’s own figures are on our pricing page.

Does Netdata replace the whole Grafana stack?

For infrastructure and Kubernetes monitoring, yes: one agent collects metrics, logs and traces (OpenTelemetry traces over OTLP), with automatic dashboards, ML anomaly detection and alerting, so there is no Prometheus, Loki, Tempo or dashboard layer to assemble. Teams with large libraries of custom Grafana dashboards over heterogeneous data sources will need to rebuild them. Traces and log views are explored in Netdata Cloud, with Enterprise On-Prem providing a local sign-in for air-gapped networks.

The 11 best Grafana alternatives in 2027

How we evaluated Grafana alternatives

Netdata

Datadog

New Relic

SigNoz

VictoriaMetrics

Elastic Observability (ELK / Kibana)

OpenObserve

Dynatrace

Honeycomb

Zabbix

Chronosphere

Frequently asked questions

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