Buyer’s Guide - October 2026

The 10 best Prometheus alternatives in 2027

Q: Do Prometheus alternatives support OpenTelemetry?

SigNoz and OpenObserve are OpenTelemetry-native end to end. Chronosphere, New Relic and Datadog ingest OTLP alongside Prometheus formats. Netdata ingests OpenTelemetry metrics, logs and traces over OTLP on the same agent. VictoriaMetrics, Mimir and Thanos are metrics stores - OTel metrics can flow in via collectors, but logs and traces need other tools.

Prometheus earned its place as the cloud-native metrics standard, but short local retention, high-cardinality pain and a metrics-only model push teams to look elsewhere. This ranking covers all three escape routes: PromQL-compatible long-term stores, fully managed platforms and unified open-source suites. We grade each on PromQL compatibility, scale, operational burden and what actually makes the bill grow.

Start with Netdata Jump to rankings

The 10 best Prometheus alternatives in 2027 product interface

Why this list exists

Prometheus is the CNCF-graduated, pull-based metrics system that became the default for cloud-native infrastructure: it scrapes HTTP endpoints on an interval, stores time series on local disk, evaluates PromQL alert rules, and plugs into thousands of exporters and every Grafana install. It is genuinely good at that job. The reasons teams leave are just as well documented: default local retention is short with no built-in HA or long-term storage, high-cardinality series from Kubernetes fleets degrade it, horizontal scale requires add-on projects like Thanos, Cortex or Mimir, and it only does metrics, so logs and traces stay separate problems. For a head-to-head on one of the common replacements, see our detailed Netdata vs Prometheus comparison.

What you give up by moving depends entirely on where you land. Leave for an agent-based or OpenTelemetry-only platform and you lose the exporter ecosystem and pull-based discovery. Leave PromQL and you lose a large shared library of community dashboards, recording rules and runbooks. Move to a proprietary SaaS and you leave the vendor-neutral governance model. That is why “Prometheus alternatives” is really three different categories wearing one name: PromQL-compatible long-term stores (VictoriaMetrics, Mimir, Thanos) that keep your scrape setup and add scale and retention; managed platforms (Datadog, New Relic, Chronosphere) that remove the operational burden; and unified open-source suites (SigNoz, OpenObserve, Netdata) that bundle metrics with logs and traces.

Three dimensions decide which of those shapes is right for you:

How much of your PromQL estate must survive. If years of dashboards, recording rules and alert rules are the investment, shortlist only PromQL-compatible backends. If you are starting fresh, the field opens up.
Who operates it. Self-hosting any of these is real work: object storage, compactors, queriers, ClickHouse clusters. Managed options trade that labor for usage-based bills that grow on different axes.
Whether metrics are enough. Prometheus is metrics-only. If logs and traces need to land in the same place, narrow to the unified platforms.

A note on pricing: we do not quote list prices for any vendor. Figures go stale, and the number matters less than the shape. For each tool we describe what makes the bill grow and link the official pricing page so you can model your own volumes.

The shortlist was assembled from the tools practitioners actually name when Prometheus hits its limits: vendor comparison pages from Dash0, Last9, OpenObserve, Logit.io and AppSignal, plus community threads on r/sre and r/devops where operators report running these systems in production. We required every entry to be a credible answer to at least one of the three Prometheus pain points - retention and scale, operational burden, or missing signals - and to be actively maintained as of October 2026.

PromQL and ecosystem compatibility carries the most weight because it determines migration cost, which is where most Prometheus replacement projects stall. Scale, cardinality and retention handling comes next, since that is the pain that starts the search, followed closely by operational burden. Signals beyond metrics, cost predictability and default collection resolution round out the scoring.

Tester credit

Compiled by the Netdata team - Updated October 14, 2026

Sources verified

Scoring criteria

PromQL and ecosystem compatibility 25%
Do existing queries, recording rules, alerts and Grafana dashboards survive the move?
Scale, cardinality and retention 20%
Long-term storage, horizontal scale and graceful handling of high-cardinality Kubernetes series.
Operational burden 20%
How many components you run and tune yourself versus what the vendor operates.
Signals beyond metrics 15%
Native logs and traces coverage; Prometheus is metrics-only.
Cost predictability 10%
Pricing shape and which dimension inflates the bill.
Collection resolution and alerting quality 10%
Default metric resolution versus the typical 30-60s scrape, and out-of-the-box alerting.

Vendor 01 / 10 · #netdata

Netdata

Per-second, zero-configuration infrastructure monitoring that replaces the scrape-config, TSDB and rule-file assembly with one agent carrying metrics, logs and traces.

Best for

Teams replacing the Prometheus-plus-Grafana-plus-Alertmanager assembly with one auto-configuring agent and a fleet view
SREs who want per-second resolution during incidents instead of 30-60s scrape gaps
Organizations that want ML anomaly detection and pre-configured alerts out of the box rather than authoring PromQL rules

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 self-host; Community plan is free for personal, non-commercial use with up to 5 active connected nodes
Not billed: metrics volume, Logs Monitoring (querying logs in place), users, data retention, containers; Logs Management is in Free Preview
Netdata Cloud Business has a 14-day trial for teams evaluating it against a Prometheus stack

Pros

Per-second metric collection by default, versus Prometheus’s typical 30-60s scrape interval - materially better visibility during fast-moving incidents
Auto-detects and monitors thousands of metrics per node with no per-exporter configuration, replacing scrape-config maintenance
Genuine Prometheus interop: scrapes Prometheus endpoints including Kubernetes annotation discovery, exposes its own metrics in Prometheus format, and remote-writes to Prometheus-compatible stores
Unsupervised ML anomaly detection runs on the node, with raw telemetry staying on your infrastructure
Metrics, logs and traces on the same agent; OpenTelemetry traces ingested over OTLP and explored in the Netdata Cloud Traces tab
Predictable per-node pricing that does not grow with metric volume, cardinality or users

Cons

Netdata does not implement PromQL: large estates of PromQL dashboards, recording rules and alert rules cannot lift-and-shift - teams either rewrite in Netdata’s model or keep a Prometheus-compatible store for that workload
Not a drop-in long-term TSDB for an existing Prometheus fleet; if the only problem is retention and HA for servers you keep unchanged, Thanos, Mimir or VictoriaMetrics solve that specific job more directly
Exploring traces and logs in the dashboard requires a Netdata Cloud sign-in

Verdict

Netdata ranks first because it fixes the things Prometheus buyers actually complain about: a typical 30-60s scrape interval becomes per-second collection, the scrape-config and rule-file assembly becomes one auto-configuring agent, and blank alerting becomes on-node ML anomaly detection with pre-configured alerts. It is not a walled garden - it scrapes Prometheus endpoints, exposes Prometheus-format metrics and remote-writes into Prometheus-compatible stores, so it slots into existing ecosystems either as a replacement or alongside them. The honest caveat is PromQL: if your operational muscle memory lives in PromQL queries and shared dashboards, Netdata is a replacement for the collection and storage stack, not for the query language. Teams in that position pair it with a compatible store or choose one from the ranks below.

Get started with Netdata -> See Netdata vs Prometheus ->

Vendor 02 / 10 · #victoriametrics

VictoriaMetrics

The most-cited self-hosted answer when Prometheus hits cardinality, compression or retention limits, with PromQL-compatible queries and remote-write ingestion.

Best for

Teams self-hosting that need long retention and high cardinality with fewer resources than Prometheus or Mimir
Platform teams replacing Prometheus wholesale while keeping PromQL-style queries and Grafana dashboards
Cost-sensitive organizations at large series counts

Pricing

Open source (Apache-2.0 core) and self-hosted - you operate it, and the bill grows with the hardware, storage and cluster components you provision
VictoriaMetrics Cloud uses capacity-tier pricing: a fixed compute tier plus storage, with egress charged per GB
Enterprise licensing adds multi-tenancy, retention controls and SLAs at custom pricing

Pros

MetricsQL is a PromQL-compatible superset, so most existing queries, Grafana dashboards and vmalert rules carry over
Accepts Prometheus remote write; vmagent can scrape Prometheus endpoints directly, so collection barely changes
Widely reported substantially better compression and resource efficiency than Prometheus TSDB at scale across independent 2026 comparisons
Handles churning, high-cardinality Kubernetes series more gracefully than Prometheus
Single-node and clustered versions, actively maintained, with a managed cloud escape hatch

Cons

Metrics-only: logs and traces need separate tools, so the single-signal gap Prometheus has remains
Self-hosting the cluster version still means operating multiple components and storage yourself
Smaller ecosystem than Prometheus; some niche exporters and tooling assume vanilla Prometheus behavior

Verdict

VictoriaMetrics is the strongest self-hosted drop-in for Prometheus’s storage and query weaknesses, and the name that comes up first in operator threads about leaving Prometheus TSDB behind. Migration from Prometheus is about as gentle as it gets: point remote_write at it or swap in vmagent, and your PromQL queries and Grafana dashboards keep working through MetricsQL. What it does not fix is scope - it is a metrics store, not a unified platform, so logs and traces remain separate projects. If your problem is Prometheus at scale and you want to keep everything else about your stack, start here.

Read full Netdata vs VictoriaMetrics -> VictoriaMetrics pricing ->

Vendor 03 / 10 · #grafana-mimir

Grafana Mimir

Grafana Labs’ horizontally scalable, multi-tenant long-term storage for Prometheus, self-hosted under AGPLv3 or managed through Grafana Cloud.

Best for

Large enterprises running metrics as a multi-tenant internal platform
Teams already in the Grafana ecosystem wanting one vendor for metrics, logs (Loki) and traces (Tempo)
Organizations that prefer a managed Prometheus-compatible backend via Grafana Cloud over operating one

Pricing

Open source (AGPLv3) and self-hosted - the bill grows with Kubernetes capacity and S3-compatible object storage
Grafana Cloud managed option is usage-based: metrics billed per active series, logs and traces per GB, plus per-user charges
Grafana Enterprise Metrics adds commercial support and large-scale features at custom pricing

Pros

Native PromQL and Prometheus remote write; existing recording rules and Grafana dashboards work unchanged
Strongest multi-tenancy of the Prometheus-compatible stores, with per-tenant isolation and limits
Backed by Grafana Labs with very active development, and a natural pairing with Loki and Tempo for the other signals
Object-storage-backed long-term retention with downsampling
Managed path via Grafana Cloud removes the operational burden entirely

Cons

AGPLv3 license can block some commercial embedding and redistribution scenarios
Microservices architecture with many components; self-hosted deployments need real platform-team capacity and object storage
Reported higher baseline resource usage than VictoriaMetrics at equivalent scale in vendor and community benchmarks

Verdict

Mimir is the right answer when the problem is scale plus multi-tenancy for Prometheus metrics and the team already lives in Grafana. Moving from Prometheus is a remote_write block and an object storage bucket - PromQL, alerts and dashboards carry over unchanged. The trade-offs are operational weight if you self-host, a license some legal teams will flag, and a metrics-only scope in the open-source edition unless you bring Loki and Tempo along. Grafana Cloud is the escape hatch, priced per active series, which rewards cardinality discipline.

Read full Netdata vs Grafana -> Grafana pricing ->

Vendor 04 / 10 · #thanos

Thanos

CNCF Incubating project that bolts long-term storage, HA and a global query view onto the Prometheus servers you already run, via sidecar and object storage.

Best for

Teams with an existing fleet of Prometheus servers that want long-term storage and a global view without changing collection
Organizations that value minimal migration risk and CNCF-governed, vendor-neutral components
Environments already committed to S3-compatible object storage

Pricing

Open source (Apache-2.0) and self-hosted only - you run and operate it
The bill grows with object storage, sidecar/querier/compactor compute, and the Prometheus fleet itself
No first-party managed offering; managed options exist only through third parties

Pros

Least invasive adoption path: a sidecar attaches to existing Prometheus servers with no re-instrumentation or query rewrite
Object-store-backed long-term retention with downsampling
Global queries across all Prometheus instances via Thanos Querier
CNCF Incubating with vendor-neutral governance, battle-tested at very large scale in community reports

Cons

Adds several components (sidecar, store gateway, compactor, querier, ruler) that you must operate and scale
Metrics-only; logs and traces remain separate problems
Query performance at global scale depends heavily on object storage tuning

Verdict

Thanos answers one specific question better than anything else on this list: how do I keep Prometheus exactly as it is and add retention, HA and a global view? Nothing about collection changes, which makes it the lowest-risk move on the page. The cost is operational surface area - you are now running a distributed system alongside Prometheus, forever, with no managed first-party option. Teams that want the same outcome with fewer moving parts usually end up comparing it against Mimir or VictoriaMetrics instead.

Visit Thanos -> Thanos on GitHub ->

Vendor 05 / 10 · #datadog

Datadog

The incumbent managed observability platform: infrastructure, APM, logs, RUM and synthetics in one SaaS, with Prometheus remote-write ingestion for teams leaving self-hosted metrics.

Best for

Teams that want to stop operating any monitoring infrastructure at all
Enterprises needing APM, logs, RUM, synthetics and security from one vendor with one support line
Organizations with budget tolerance for the most complete managed platform

Pricing

Per-product, per-dimension billing: per-host for infrastructure and APM, per-GB for log ingestion plus a separate indexing charge, per-session for RUM
Custom metrics are allocated per host; exceeding the allocation grows the bill
Annual commitments discount per-host rates; multi-product estates compound quickly

Pros

Broadest managed product surface on this list: infra, APM, logs, RUM, synthetics and security in one platform
Ingests Prometheus metrics via remote write and OpenTelemetry via OTLP, so existing telemetry can flow in during migration
900+ vendor integrations and mature out-of-the-box dashboards
APM depth including continuous profiling, which metrics-first tools do not offer

Cons

The bill grows on many independent dimensions (hosts, log GB, indexed logs, custom metrics, RUM sessions), making costs hard to predict - a frequent reason teams evaluate alternatives in the first place
PromQL is not the query language; existing PromQL dashboards and alert rules must be rewritten
SaaS-only: telemetry leaves your infrastructure, which matters for sovereignty-sensitive buyers

Verdict

Datadog is a genuine Prometheus alternative when the real goal is to stop running monitoring infrastructure entirely and buy unified coverage instead. Moving from Prometheus is mechanically easy at the collection layer - remote write and OTLP are both first-class - but the PromQL estate does not come with you; queries and rules get rewritten. The trade is operational relief for a bill that grows on several axes at once, which is exactly the surprise that sends some teams back toward self-hosting. Model your volumes on the pricing page before committing.

Read full Netdata vs Datadog -> Datadog pricing ->

Vendor 06 / 10 · #signoz

SigNoz

Open-source, OpenTelemetry-native observability platform on ClickHouse that unifies metrics, logs and traces, supports PromQL, and offers a usage-based cloud.

Best for

Teams that want a Datadog-class unified platform they can self-host
OpenTelemetry-first organizations adopting traces and logs alongside metrics
Buyers who want PromQL compatibility plus APM in one open-source product

Pricing

Open source and self-hosted - you run and operate ClickHouse plus the SigNoz components
SigNoz Cloud is usage-based: per-GB ingested for logs and traces, per-sample billing for metrics, with a monthly platform minimum
Bill grows with ingest volume and metric sample count, not host count

Pros

Full PromQL support and Prometheus remote read per SigNoz docs, easing migration of metrics workflows
Metrics, logs, traces and exceptions in one product, built on ClickHouse for fast queries
OpenTelemetry-native collection; no proprietary agent required
APM features including tracing and service-level views that pure metrics stores lack

Cons

Younger and less battle-tested at very large scale than the Prometheus-derived stores
Self-hosted deployment means operating ClickHouse, a real operational commitment
Advanced query work beyond the visual layer moves to ClickHouse SQL, its own dialect to learn

Verdict

SigNoz is the strongest open-source answer for teams whose Prometheus exit is really about unifying signals, not just scaling metrics. It keeps PromQL working for the metrics you bring over while adding tracing and logs through OpenTelemetry, all in a product you can run yourself. Migration from Prometheus is eased by the PromQL and remote-read support, though deep log and trace queries eventually mean learning ClickHouse SQL. Scale references are thinner than for VictoriaMetrics or Mimir, so very large fleets should validate with a proof of concept.

Read full Netdata vs SigNoz -> SigNoz pricing ->

Vendor 07 / 10 · #newrelic

New Relic

Managed full-stack observability with a usage-based ingest model and an official Prometheus remote-write endpoint - one of the easiest paid landing spots for existing Prometheus metrics.

Best for

Teams that want managed full-stack observability with per-GB costs rather than per-host
Organizations with existing Prometheus fleets that want to forward metrics without re-instrumenting
Startups and mid-market teams testing on the free monthly ingest allowance

Pricing

Usage-based: a free monthly data-ingest allowance, then per-GB for all telemetry beyond it
Per-user seat pricing on top of ingest, with a free user tier and paid seat tiers
Bill grows with total GB ingested across metrics, logs, traces and events, plus user count

Pros

Official Prometheus remote-write integration; per New Relic docs, one YAML block forwards an existing server’s metrics
Single ingest meter across metrics, logs, traces and events simplifies cost modeling versus per-product billing
Mature APM, distributed tracing and dashboards in one SaaS
OpenTelemetry support alongside Prometheus ingestion

Cons

PromQL is not the query language; queries move to NRQL and dashboards and rules must be rewritten
Per-GB ingest means high-cardinality or high-volume metrics directly grow the bill
SaaS-only, with no self-hosted option for sovereignty-sensitive buyers

Verdict

New Relic earns its rank on migration friction: of the managed platforms, its first-party Prometheus remote-write endpoint is the simplest way to get an existing fleet’s metrics into a SaaS without touching exporters. The single per-GB meter is easier to reason about than per-product billing, though it punishes cardinality the way Prometheus TSDB does, just on the invoice instead of the disk. The PromQL estate rewrites to NRQL, and there is no self-hosted path. A solid paid landing spot; a poor fit if PromQL or data residency are non-negotiable.

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

Vendor 08 / 10 · #openobserve

OpenObserve

Single-binary open-source observability platform for logs, metrics, traces and RUM that ingests Prometheus remote write and queries metrics with PromQL or SQL.

Best for

Teams wanting a lightweight self-hosted unified platform without operating ClickHouse or a microservices mesh
Log-heavy organizations adding Prometheus metrics into the same store
Cost-conscious buyers comparing per-GB cloud observability

Pricing

Open source and self-hosted - you run and operate it; a commercial self-hosted Enterprise edition adds commercial features
OpenObserve Cloud is usage-based: per-GB ingested plus per-GB queried, with retention extensions priced per GB
Bill grows with ingest volume and query load, not hosts or seats

Pros

Accepts Prometheus remote write per vendor docs, so an existing scrape setup can point at it without exporter changes
Queries metrics with PromQL or SQL, including joins across telemetry
Single-binary deployment is markedly simpler to stand up than Mimir, Thanos or SigNoz stacks
Unified logs, metrics, traces and RUM in one product

Cons

Much younger than the Prometheus-derived stores, with fewer very-large-scale production references
Metrics feature depth such as recording rules and alerting maturity trails dedicated TSDBs
Cloud per-GB query charges can surprise teams with heavy dashboard usage

Verdict

OpenObserve is the pragmatic pick for teams that have outgrown single-node Prometheus but do not want to assemble Thanos plus Loki plus Tempo. Moving from Prometheus is a remote_write change, and PromQL keeps working alongside SQL for cross-signal queries, so exporters and service discovery stay put. Its simplicity is the selling point and its youth is the risk: metrics depth and alerting maturity trail the dedicated stores, and large-scale references are still accumulating. Best suited to log-heavy teams who want metrics in the same lightweight store.

Visit OpenObserve -> OpenObserve pricing ->

Vendor 09 / 10 · #influxdb

InfluxDB

Purpose-built time-series database for high-write metrics workloads, with open-source Core, commercial Enterprise and usage-based Cloud editions - but no PromQL.

Best for

Teams whose primary need is a high-write time-series database rather than a Prometheus replacement
IoT, edge and industrial workloads already invested in Telegraf
Developers who prefer SQL over PromQL for metrics analysis

Pricing

InfluxDB 3 Core is open source (MIT/Apache-2) and self-hosted, positioned as a recent-data engine
Enterprise adds clustering and commercial features at custom pricing
Cloud Serverless is usage-based across data in, query count, storage and data out

Pros

Purpose-built storage engine for high-write time-series and event data
SQL-based querying familiar to analytics teams
Mature Telegraf agent ecosystem with hundreds of input plugins
Managed Cloud Serverless and single-tenant Cloud Dedicated options

Cons

No PromQL: existing Prometheus queries, recording rules and alert rules must be rewritten in SQL or InfluxQL
Open-source Core is positioned for recent data with a short query window; long retention and HA are commercial editions
Not a monitoring platform: dashboards, alerting and APM require pairing with other tools

Verdict

InfluxDB shows up in every Prometheus-alternatives discussion because it is a serious time-series engine, but it is the weakest fit on this list for a classic Prometheus exit. There is no PromQL path, so migration from Prometheus means rewriting every query and re-pointing collection through Telegraf or OpenTelemetry; some Grafana dashboards can be rebuilt against it as a data source, not carried over. Choose it when the workload is high-write telemetry and the team thinks in SQL - IoT and industrial buyers in particular. For Kubernetes infrastructure monitoring with an existing PromQL estate, look higher on the list.

Visit InfluxDB -> InfluxDB pricing ->

Vendor 10 / 10 · #chronosphere

Chronosphere

Single-tenant managed observability built by the creators of Uber’s M3, natively compatible with Prometheus remote write, PromQL and OpenTelemetry, priced on persisted writes.

Best for

Large cloud-native engineering organizations that have outgrown self-managed Prometheus at serious scale
Teams needing Prometheus compatibility plus aggressive cost control over telemetry volume
Enterprises wanting a single-tenant SaaS with a strong data-control posture

Pricing

Enterprise SaaS, contact-sales only; no public price list
Billed on persisted writes - the data points actually stored after aggregation - not raw ingest, so upstream aggregation reduces the bill
A separate Telemetry Pipeline product is priced on raw data throughput

Pros

Native Prometheus remote-write, PromQL and OTLP ingestion; per the vendor, existing recording rules and Grafana dashboards import without modification
M3 heritage from Uber’s metrics platform, proven at very large scale
Persisted-writes pricing actively rewards aggregation and cardinality control
Single-tenant SaaS architecture, now backed by Palo Alto Networks

Cons

No public pricing and an enterprise-only sales motion that excludes smaller teams
SaaS-only; no self-hosted edition
Aggregation-first model requires discipline about what is stored, which can surprise teams expecting raw-data retention

Verdict

Chronosphere is the premium enterprise answer to managed Prometheus at scale. Compatibility is the best of the managed group - per the vendor, PromQL, recording rules and Grafana dashboards import unmodified - so migration from Prometheus is mostly about adopting its aggregation and retention policies rather than rewriting your estate. The persisted-writes billing model is genuinely interesting because it makes cardinality control financially visible instead of just operationally painful. The catch is access: contact-sales pricing and an enterprise motion put it out of reach for most of the teams reading this list.

Read full Netdata vs Chronosphere -> Chronosphere site ->

Frequently asked questions

What is the best Prometheus alternative in 2027?

There is no single best - the answer depends on which Prometheus limitation you are escaping. For self-hosted scale and retention with PromQL intact, look at VictoriaMetrics, or Grafana Mimir if multi-tenancy matters. To keep existing Prometheus servers unchanged while adding retention and a global view, use Thanos. For a fully managed all-in-one, the options are Datadog, New Relic or Chronosphere. For unified open source with logs and traces, evaluate SigNoz or OpenObserve. And for per-second, zero-configuration infrastructure monitoring that replaces the whole scrape-and-store stack, start with Netdata.

Is there a free, open-source Prometheus alternative?

Several are open source and self-hosted: VictoriaMetrics, Thanos, Grafana Mimir, SigNoz and OpenObserve. Open source is a distribution model, not a price - you run and operate it, and hardware, storage and engineering time are real costs. Licenses differ: Mimir is AGPLv3, Thanos and VictoriaMetrics are Apache-2.0, and InfluxDB 3 Core is MIT/Apache-2. Managed cloud editions of each carry usage-based or capacity-based pricing.

Which Prometheus alternatives keep PromQL?

VictoriaMetrics (via MetricsQL, a PromQL-compatible superset), Grafana Mimir, Thanos, SigNoz, OpenObserve and Chronosphere all support PromQL. New Relic uses NRQL, Datadog uses its own query language and InfluxDB uses SQL/InfluxQL. Netdata does not implement PromQL; it offers its own query and alerting model and interoperates with Prometheus via scraping, metric exposure and remote write. If PromQL dashboards and rules are your main investment, prioritize the compatible group.

What do paid Prometheus alternatives cost?

Paid Prometheus alternatives bill on one of five shapes: per host (Datadog), per GB ingested (New Relic, SigNoz Cloud, OpenObserve Cloud), per active series (Grafana Cloud), capacity tiers (VictoriaMetrics Cloud), or persisted writes (Chronosphere, contact sales). Datadog bills per host per product, plus per-GB for logs and custom-metric allocations per host. New Relic bills per GB ingested after a free monthly allowance, plus per-user seats. Grafana Cloud bills per active series for metrics and per GB for logs and traces. VictoriaMetrics Cloud uses capacity tiers of compute plus storage plus egress. Chronosphere is contact-sales, billed on persisted writes rather than raw ingest. SigNoz Cloud and OpenObserve Cloud bill per GB ingested, with SigNoz also billing metrics per sample. We describe shapes rather than figures because the shape determines your bill.

Can I keep my existing Prometheus exporters and dashboards?

Yes, with the compatible group: VictoriaMetrics, Mimir, Thanos, SigNoz, OpenObserve and Chronosphere accept Prometheus remote write and/or speak PromQL, and Grafana dashboards keep working against any PromQL-compatible backend. Thanos goes furthest - a sidecar attaches to existing Prometheus servers with no collection changes at all. Datadog, New Relic and InfluxDB require query rewrites into their own languages, and InfluxDB also requires re-pointing collection. Netdata can scrape your existing Prometheus endpoints and remote-write into Prometheus-compatible stores.

Why do teams move away from Prometheus?

Community forums, vendor comparisons and r/sre threads converge on the same list: short default local retention with no built-in long-term storage or HA; high-cardinality series from Kubernetes fleets degrading performance; horizontal scale requiring add-on projects like Thanos, Cortex or Mimir; a metrics-only model that leaves logs and traces as separate problems; and the operational burden of self-hosting all of it at scale. Which of those hurts most determines which alternative shape fits.

Is Netdata a Prometheus alternative?

Yes for the infrastructure monitoring job: Netdata replaces the scrape-config-plus-TSDB-plus-rules assembly with one per-second, auto-configuring agent that carries metrics, logs and traces. It interoperates rather than isolates - it scrapes Prometheus endpoints including Kubernetes annotation discovery, exposes metrics in Prometheus format and remote-writes to Prometheus-compatible stores. It does not implement PromQL and is not a PromQL long-term store for existing fleets. Pricing is per-node, and the agents are open source under GPLv3+.

Thanos vs Mimir vs VictoriaMetrics: which long-term store should I pick?

Thanos if you want to keep existing Prometheus servers unchanged and add object-store retention and global queries - accepting the most components to operate. Mimir if you need the strongest multi-tenancy in a remote-write backend and can accept AGPLv3 and a heavier resource footprint, with Grafana Cloud as the managed path. VictoriaMetrics if you want the best-reported compression and resource efficiency with simpler operations, where MetricsQL keeps PromQL queries working. The decision hinges on whether Prometheus stays the source of truth (Thanos) or you replace the storage layer (Mimir, VictoriaMetrics).

Do Prometheus alternatives support OpenTelemetry?

The 10 best Prometheus alternatives in 2027

How we evaluated Prometheus alternatives

Netdata

VictoriaMetrics

Grafana Mimir

Thanos

Datadog

SigNoz

New Relic

OpenObserve

InfluxDB

Chronosphere

Frequently asked questions

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