The only agent that thinks for itself

Autonomous Monitoring with self-learning AI built-in, operating independently across your entire stack.

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Centralized metrics streaming and storage

Aggregate metrics from multiple agents into centralized Parent nodes for unified monitoring across your infrastructure.

Stream from unlimited agents
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Access your monitoring data from anywhere with our SaaS platform. No infrastructure to manage, automatic updates, and global availability.

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Powerful, intuitive monitoring interface

Modern, responsive UI built for real-time troubleshooting with customizable dashboards and advanced visualization capabilities.

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Monitor on the go

Native iOS and Android apps bring full monitoring capabilities to your mobile device with real-time alerts and notifications.

iOS & Android apps
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The future of infrastructure observability

See our strategic direction across AI-native observability, full-stack signals, operational intelligence, and enterprise platform maturity.

AI-native observability
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Agent releases every 6 weeks
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Best energy efficiency

True real-time per-second

100% automated zero config

Centralized observability

Multi-year retention

High availability built-in

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Always up-to-date

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Millisecond responsiveness

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Works on any device

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Monitor anywhere

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Continuous delivery

Open source foundation

80% Faster Incident Resolution

AI-powered troubleshooting from detection, to root cause and blast radius identification, to reporting.

True Real-Time and Simple, even at Scale

Linearly and infinitely scalable full-stack observability, that can be deployed even mid-crisis.

90% Cost Reduction, Full Fidelity

Instead of centralizing the data, Netdata distributes the code, eliminating pipelines and complexity.

See and Map Your Entire Network

Live topology, flow analytics, and SNMP device and trap monitoring — unified with your full-stack observability.

Control Without Surrender

SOC 2 Type 2 certified with every metric kept on your infrastructure.

Integrations

800+ collectors and notification channels, auto-discovered and ready out of the box.

800+ data collectors
Auto-discovery & zero config
Cloud, infra, app protocols
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Real Results
46% Cost Reduction

Reduced monitoring costs by 46% while cutting staff overhead by 67%.

— Leonardo Antunez, Codyas

Zero Pipeline

No data shipping. No central storage costs. Query at the edge.

From Our Users
"Out-of-the-Box"

So many out-of-the-box features! I mostly don't have to develop anything.

— Simon Beginn, LANCOM Systems

No Query Language

Point-and-click troubleshooting. No PromQL, no LogQL, no learning curve.

Enterprise Ready
67% Less Staff, 46% Cost Cut

Enterprise efficiency without enterprise complexity—real ROI from day one.

— Leonardo Antunez, Codyas

SOC 2 Type 2 Certified

Zero data egress. Only metadata reaches the cloud. Your metrics stay on your infrastructure.

Full Coverage
800+ Collectors

Auto-discovered and configured. No manual setup required.

Any Notification Channel

Slack, PagerDuty, Teams, email, webhooks—all built-in.

Built for the People Who Get Paged

Because 3am alerts deserve instant answers, not hour-long hunts.

Every Industry Has Rules. We Master Them.

See how healthcare, finance, and government teams cut monitoring costs 90% while staying audit-ready.

Monitor Any Technology. Configure Nothing.

Install the agent. It already knows your stack.
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"A Rare Unicorn"

Netdata gives more than you invest in it. A rare unicorn that obeys the Pareto rule.

— Eduard Porquet Mateu, TMB Barcelona

99% Downtime Reduction

Reduced website downtime by 99% and cloud bill by 30% using Netdata alerts.

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30% Cloud Cost Reduction

Optimized resource allocation based on Netdata alerts cut cloud spending by 30%.

— Falkland Islands Government

46% Cost Cut

Reduced monitoring staff by 67% while cutting operational costs by 46%.

— Codyas

Real Coverage
"Plugin for Everything"

Netdata has agent capacity or a plugin for everything, including Windows and Kubernetes.

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So many out-of-the-box features! I mostly don't have to develop anything.

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Troubleshooting in 30 Seconds

From 2-3 minutes to 30 seconds—instant visibility into any node issue.

— Matthew Artist, Nodecraft

20% Downtime Reduction

20% less downtime and 40% budget optimization from out-of-the-box monitoring.

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Pay per Node. Predictable Pricing.

Predictable per-node pricing for infrastructure monitoring. No per-metric or per-GB ingest charges for metrics and logs.

Free tier—forever
No metric limits or caps
Retention you control
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What's Your Monitoring Really Costing You?

Most teams overpay by 40-60%. Let's find out why.

Expose hidden metric charges
Calculate tool consolidation
Customers report 30-67% savings
Results in under 60 seconds
> See what you're really paying

Your Infrastructure Is Unique. Let's Talk.

Because monitoring 10 nodes is different from monitoring 10,000.

On-prem & air-gapped deployment
Volume pricing & agreements
Architecture review for your scale
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> Start a conversation

Monitoring That Sells Itself

Deploy in minutes. Impress clients in hours. Earn recurring revenue for years.

30-second live demos close deals
Zero config = zero support burden
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Response in 48 hours
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Per-Second Metrics at Homelab Prices

Same engine, same dashboards, same ML. Just priced for tinkerers.

Community: Free forever · 5 nodes · non-commercial
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Your colleagues get 10% off. You get 10% commission. Everyone wins.

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40% Budget Optimization

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Calculate Your Savings

Compare vs Datadog, Grafana, Dynatrace

Savings Proof
46% Cost Reduction

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30% Cloud Bill Savings

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Enterprise Proof
"Better Than Combined Alternatives"

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Real Engineers, <24h Response

DPA, SLAs, on-prem, volume pricing

Why Partners Win
Demo Live Infrastructure

One command, 30 seconds, real data—no sandbox needed

Zero Tickets, High Margins

Auto-config + per-node pricing = predictable profit

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Worth Recommending
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Customers report 40-67% cost cuts, 99% downtime reduction

Zero Risk to Your Rep

Free tier lets them try before they buy

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One command to install. Zero config. 850+ integrations documented.

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Auto-discovers your stack
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80,000+ Engineers Strong

690+ contributors. 1.5M daily downloads. One mission: simplify observability.

Per-Second. 90% Cheaper. Data Stays Home.

Side-by-side comparisons: costs, real-time granularity, and data sovereignty for every major tool.

See why teams switch from Datadog, Prometheus, Grafana, and more.

> Browse all comparisons
Edge-Native Observability, Born Open Source
Per-second visibility, ML on every metric, and data that never leaves your infrastructure.
Founded in 2016
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Your work helps millions of systems

Buyer’s Guide - October 2026

11 New Relic alternatives that fix the reason you are leaving

Most teams leave New Relic over the bill. Ingest plus per-user pricing means costs climb with telemetry volume and headcount, and a naive switch to another usage-billed platform can reproduce the same bill with a different logo. This ranking grades every candidate on the full signal set (metrics, logs, traces, errors, RUM), the shape of its pricing, and how cleanly your OpenTelemetry instrumentation moves with you.

11 New Relic alternatives that fix the reason you are leaving product interface

Why this list exists

New Relic earned its reputation honestly. It is a genuinely all-in-one observability platform: mature APM language agents with deep code-level visibility, NRQL (a well-documented query language with a large body of community dashboards), 50+ capabilities under one pricing model, and a free tier generous enough to evaluate for real. If you have never been surprised by a New Relic invoice, this page is not for you.

The reasons teams leave cluster tightly. The bill grows with data ingest plus per-user seats (or compute plus ingest), so costs spike with telemetry volume and engineering headcount at the same time. Practitioners describe the product suite as a maze, and the per-seat line item reads as a tax on giving every engineer access to observability data. The closed ecosystem sits awkwardly next to an industry that has standardized on OpenTelemetry. For a deeper side-by-side on the leading option, see our detailed Netdata vs New Relic comparison.

What you give up by moving is real: the vendor-supported language agents, NRQL and every dashboard and alert you have built on it, and a single enterprise contract. None of your historical data migrates, so plan a dual-run period no matter which direction you go.

Three dimensions decide which alternative is right:

  1. Pricing shape. What does the bill grow with - ingest, hosts, seats, cores, compute? The top reason teams leave New Relic is cost predictability, and several alternatives reproduce the same usage-based trap with a different logo.
  2. Signal completeness. New Relic is bought as all-in-one. A replacement that covers traces beautifully but ignores infrastructure and logs means a two-vendor stack, which may still be the right answer, but know it going in.
  3. Deployment and data control. SaaS, self-hosted, or BYOC determines where telemetry lives and who operates the storage. Open source is a distribution model, not a price: self-hosted shifts cost from licence to operations.

One note on how we handle pricing: we do not quote competitor list prices. Rates change, discounts are negotiated, and a copied dollar figure would be stale the week you read it. We describe the pricing shape - what the meter counts - and link every vendor’s official pricing page so you can model your own numbers.

Methodology

How we evaluated New Relic alternatives

We assembled the shortlist of New Relic competitors from the tools practitioners actually evaluate as replacements: the platforms cited in vendor and community comparisons and engineering forum threads. Every candidate had to be a credible full-stack or near-full-stack replacement; single-purpose uptime checkers did not qualify.

Three criteria carry the most weight because they map to the three reasons teams leave: full-stack signal coverage (New Relic is bought as all-in-one), OpenTelemetry compatibility and migration effort (your instrumentation should survive the switch), and pricing predictability (the bill should grow with something you control, not something that grows on its own).

Tester credit

Compiled by the Netdata team - Updated October 14, 2026

Scoring criteria

  • Full-stack signal coverage 20%
    Metrics, logs, traces, errors and RUM in one platform; single-signal tools lose points.
  • OpenTelemetry compatibility and migration effort 20%
    How cleanly OTel instrumentation repoints, and how much query/dashboard work must be rebuilt.
  • Pricing predictability and total cost 20%
    What the bill grows with, and how surprising it is at scale.
  • Data control and deployment options 15%
    SaaS vs self-hosted vs BYOC; where telemetry is stored.
  • Time to insight 10%
    Auto-instrumentation, data resolution, auto-dashboards, anomaly detection, AI root-cause.
  • Scale, cardinality and retention 10%
    Behaviour under high-cardinality telemetry and affordable history.
  • Ecosystem and integrations 5%
    Agent and SDK coverage, integrations library, community.

Vendor 01 / 11 · #netdata

01

Netdata

Per-second, agent-based observability unifying infrastructure metrics, logs and OpenTelemetry traces, with on-node ML anomaly detection and AI root-cause analysis.

Netdata dashboard showing per-second application monitoring metrics with anomaly indicators, illustrating the high-resolution APM view teams get when replacing New Relic

Best for

  • Teams replacing New Relic’s infrastructure and APM monitoring with high-resolution, per-second data and predictable per-node costs
  • SRE and DevOps teams that want anomaly detection and root-cause analysis without writing queries
  • Organizations that want telemetry stored on their own infrastructure

Pricing

  • Per-node pricing: Netdata Cloud Business from $4.5/node/month on annual plans, decreasing as node count grows
  • Not billed: metrics volume, Logs Monitoring (querying logs in place), users, data retention, containers
  • Agents are open source (GPLv3+) and free to run; you operate them
  • Community plan is free for personal, non-commercial use with up to 5 active connected nodes; businesses run the open-source Agent or Netdata Cloud Business (14-day trial)
  • Logs Management and Traces are marked Free Preview on the price list

Pros

  • Per-second metric collection by default, far finer than the 15-60s resolution typical of New Relic and most alternatives
  • Unsupervised ML runs on every node, so anomaly detection adapts as infrastructure changes and raw telemetry never leaves the host
  • One agent collects metrics, logs (systemd-journal, Windows Event Log, macOS unified logs in place, plus any source via OpenTelemetry Collector) and ingests OpenTelemetry traces over OTLP (gRPC and HTTP)
  • Traces are stored and indexed on your own agents and explored in the Netdata Cloud Traces tab: duration heatmap, RED analysis, waterfall, span details
  • Thousands of auto-generated metrics and alerts per node with zero configuration, plus custom dashboards
  • Predictable per-node pricing that does not grow with ingest volume, users or retention - the inverse of New Relic’s billing dimensions

Honest limitations

  • Deeper APM features such as code-level and continuous profiling are the strength of suites like Datadog and Dynatrace; Netdata does distributed tracing on OpenTelemetry rather than a full APM suite
  • No Splunk or Elastic-class full-text log index and query language; log analysis is not a search-engine-class product
  • Digital Experience Monitoring (RUM and browser synthetic checks) is new as of October 2026; vendors that have offered RUM for years have more mature features such as session replay

Verdict

Netdata leads this list because it fixes the two things that drive most New Relic exits: cost predictability and data resolution. The per-node bill does not move when ingest volume, headcount or retention grows, and per-second collection catches the transient spikes that coarser collection intervals average away. The migration story is clean for OpenTelemetry shops: repoint OTLP exporters at the agent and your metrics, logs and traces land in one place, stored on your own infrastructure. The honest caveats: code-level and continuous profiling are the territory of the full APM suites, and Netdata’s DEM feature set is newer than the incumbents’. For the infrastructure-plus-APM core of a New Relic replacement, nothing else on this list matches the combination of resolution, ML out of the box, and a bill you can forecast.

Vendor 02 / 11 · #grafana

02

Grafana Cloud

Managed observability stack (Prometheus, Loki, Tempo, Grafana dashboards) with the largest visualization and integration ecosystem in the category.

Best for

  • Teams already using Prometheus or Grafana dashboards that want a managed backend
  • Organizations standardizing on OpenTelemetry and open-source components
  • Buyers who value ecosystem breadth over a single vendor agent

Pricing

  • Usage-based: billed on data processed, ingested and retained across per-GB and per-series dimensions
  • Free tier with usage and retention caps; paid tiers add a platform fee plus pay-as-you-go usage
  • Enterprise is an annual-commitment contract with volume pricing
  • Bill grows with ingest volume and retention length

Pros

  • De facto standard for dashboards; huge community and integration ecosystem
  • OpenTelemetry-native ingestion across metrics (Prometheus/Mimir), logs (Loki) and traces (Tempo)
  • Managed cloud removes the operational burden of running the LGTM stack yourself
  • Free tier gives full access to the platform with usage caps, useful for evaluation

Cons

  • Usage-based billing on ingest and retention makes costs hard to predict at scale - the same class of problem buyers are fleeing at New Relic
  • You assemble the stack yourself: alerting, correlation and root-cause analysis span separate components rather than one integrated product
  • Self-managed Grafana OSS means operating Prometheus, Loki and Tempo yourself

Verdict

Grafana Cloud is the most common landing spot for teams leaving New Relic, and for Prometheus-centric shops it is the obvious one. Migration means repointing OTel collectors or Prometheus scrapers, replacing New Relic agents with OTel SDKs, and rebuilding NRQL as PromQL, LogQL and TraceQL - a real project, not a flip of a switch. As an all-in-one replacement it is thinner than it looks: APM depth, error tracking and RUM come from separate pieces or third parties, and correlation workflows span components. The usage-based bill is the other caution: it can reproduce New Relic-style cost surprises at scale.

Vendor 03 / 11 · #signoz

03

SigNoz

OpenTelemetry-native observability platform on ClickHouse unifying traces, metrics and logs in one application, self-hosted or as a cloud service.

Best for

  • Teams that want a single open-source application covering the New Relic feature set without assembling separate components
  • Engineering-led buyers standardizing on OpenTelemetry and ClickHouse SQL
  • Organizations with DevOps capacity to self-host

Pricing

  • Open-source, self-hosted community edition (MIT-licensed core): you run and operate it and pay for your own infrastructure
  • SigNoz Cloud is usage-based, billed per GB of traces and logs ingested and per million metric samples, with retention options
  • Enterprise edition for BYOC or self-hosted at scale
  • Bill grows with ingest volume and retention

Pros

  • One product for traces, metrics, logs, exceptions, dashboards and alerts, built natively on OpenTelemetry
  • ClickHouse storage gives fast queries over high-volume telemetry and supports PromQL and ClickHouse SQL
  • Frequently cited by practitioners as the leading open-source New Relic alternative
  • Self-hosted edition keeps all telemetry on your infrastructure

Cons

  • Self-hosting means you operate ClickHouse, upgrades, scaling and availability yourself
  • Younger ecosystem and smaller integration library than New Relic, Datadog or Grafana
  • Cloud plan is usage-based on ingest, so cost still grows with telemetry volume

Verdict

SigNoz is the closest thing to an open-source New Relic in a single application, and its OpenTelemetry-native design makes the migration conceptually simple: replace New Relic agents with OTel SDKs and a collector pointed at SigNoz, then rebuild NRQL as ClickHouse SQL or the query builder. No historical data moves, so plan a dual-run. Coverage of the core three signals is strong; RUM, synthetics and enterprise APM extras are thinner than New Relic’s. The choice between self-hosted and Cloud is the choice between operational burden and an ingest-based bill.

Vendor 04 / 11 · #datadog

04

Datadog

The broadest commercial observability and security platform, with 900+ integrations and mature APM, logs, RUM and synthetics.

Best for

  • Large enterprises that want one vendor for observability, security and digital experience
  • Teams with complex, heterogeneous estates needing the widest integration library
  • Buyers with budget who value maturity and support over price

Pricing

  • Modular per-product pricing: per-host infrastructure billing plus separate SKUs for APM, logs (ingest and indexing), RUM, synthetics and security
  • Per-seat pricing on some products; usage-based on data volume
  • Free tier exists with host and usage caps
  • Bill grows with host count, ingest volume, indexing choices and every product module enabled

Pros

  • Broadest product surface in the category: APM, logs, RUM, synthetics, security, cloud cost management
  • 900+ integrations and mature language agents
  • Strong dashboards, alerting and out-of-the-box content
  • Frequently the first alternative enterprises evaluate against New Relic

Cons

  • Modular usage-based pricing is widely reported as the most expensive option in the category; cost is a leading reason teams evaluate Datadog alternatives too
  • Proprietary query language and agents increase lock-in versus OpenTelemetry-native alternatives
  • Full-stack coverage (APM + logs + RUM together) scales steeply with volume

Verdict

Datadog is the complete feature-for-feature New Relic replacement, with deeper APM and profiling on top. Migration is operationally straightforward - dual-run agents, swap New Relic language agents for Datadog’s or OTel ingestion - but dashboards, monitors and SLOs are rebuilt in Datadog’s own query syntax, which trades one proprietary model for another. The problem is motivation: if you are leaving New Relic over cost, Datadog usually costs more. Rank it first on capability, fourth on this list because capability is not why most buyers are reading it.

Vendor 05 / 11 · #dynatrace

05

Dynatrace

Enterprise observability platform with agent auto-instrumentation, topology-aware dependency mapping and the Davis AI engine for root-cause analysis.

Best for

  • Large enterprises wanting automated root-cause analysis and dependency mapping with minimal manual configuration
  • Organizations with strict enterprise requirements: compliance, support, on-prem options
  • Teams replacing New Relic at the high end of the APM market

Pricing

  • Dynatrace Platform Subscription: a minimum annual spend commitment consumed against a rate card based on actual usage
  • Usage dimensions include host-hours, data ingest and monitoring units; unlimited seats with no per-user fees
  • 15-day free trial; no permanent free tier for production use
  • Bill grows with monitored infrastructure size and ingest volume against the annual commit

Pros

  • Davis AI performs causal, topology-aware root-cause analysis across the full stack
  • OneAgent auto-discovers and auto-instruments applications and infrastructure with minimal setup
  • Unlimited seats - no per-user pricing, removing one of New Relic’s most resented cost lines
  • Deep APM maturity including code-level visibility and profiling

Cons

  • Annual-commitment consumption model requires forecasting; underestimating means overage or over-commitment
  • Premium enterprise pricing; generally the most expensive class of alternative
  • Proprietary agent and query model; less OpenTelemetry-native than newer alternatives

Verdict

Dynatrace is the pick when the reason for leaving New Relic is capability, not cost: deeper enterprise APM, genuinely automatic instrumentation via OneAgent, and causal AI root-cause analysis that works out of the box. Unlimited seats directly answers New Relic’s per-user pricing. Migration is more consultative than with OTel-native tools - OneAgent replaces New Relic agents wholesale, and dashboards and NRQL are rebuilt in Dynatrace’s model. Small and mid-size teams will find it overkill and over-budget; enterprises leaving New Relic for depth will find it the strongest option here.

Vendor 06 / 11 · #clickstack

06

ClickStack (ClickHouse)

ClickHouse’s open-source observability stack (OpenTelemetry Collector, ClickHouse, HyperDX UI) unifying logs, traces, metrics and sessions with SQL-based analysis.

Best for

  • Engineering teams that want New Relic-style full-stack observability with SQL analysis and no per-seat tax
  • Teams hitting cardinality or cost walls in Prometheus-based stacks
  • Buyers comfortable operating ClickHouse-backed infrastructure

Pricing

  • Open source, self-hosted: you run and operate the stack and pay for your own infrastructure
  • ClickHouse Cloud offers a managed, usage-based option billed on compute and storage consumed
  • No per-seat charges; unlimited users on the self-hosted model
  • Bill grows with data volume and compute in the cloud option, or with your own hardware self-hosted

Pros

  • OpenTelemetry-native by design; HyperDX provides log, trace, metric and session search in one interface
  • ClickHouse storage delivers high compression and fast queries over large telemetry volumes
  • SQL as the universal query language keeps skills transferable and avoids proprietary query lock-in
  • Positioned explicitly as a New Relic alternative focused on breaking the ingest-pricing model

Cons

  • Younger product: less feature completeness, fewer integrations and a smaller ecosystem than New Relic or Datadog
  • Self-hosting requires operating ClickHouse and the collector pipeline
  • No New Relic-style APM language agents; instrumentation is OpenTelemetry-based

Verdict

ClickStack is the strongest cost-and-control play on this list for teams with the engineering capacity to run it. Migration is clean in one direction: point OTel SDKs and collectors at the OTLP endpoint and NRQL becomes SQL against ClickHouse, a language your team likely already knows. What you trade is maturity - enterprise extras like RUM depth, synthetics breadth and compliance packaging are thin, and historical New Relic data does not migrate. For cost-motivated exits that refuse another usage-metered SaaS, it deserves a serious evaluation.

Vendor 07 / 11 · #honeycomb

07

Honeycomb

Observability platform built for high-cardinality, wide event debugging of production systems, OpenTelemetry-native by design.

Best for

  • Engineering teams that debug production with high-cardinality, ad-hoc queries rather than fixed dashboards
  • OpenTelemetry-first organizations wanting a vendor that champions the standard
  • Teams that found New Relic’s APM too coarse for microservice debugging

Pricing

  • Usage-based: billed on event volume with plan tiers, plus per-seat user pricing on paid plans
  • Free tier with monthly event-volume and metric-datapoint caps
  • Enterprise plans add private cloud and support options
  • Bill grows with event volume; sampling in your collector is the main cost lever

Pros

  • Best-in-class high-cardinality interactive querying (BubbleUp, wide events)
  • OpenTelemetry-native with strong tooling: Refinery sampling proxy, OpenTelemetry distributions
  • Free tier usable for real projects; transparent usage-based model
  • Strong developer experience and credibility among SREs

Cons

  • Not an all-in-one New Relic replacement: infrastructure monitoring, synthetics breadth and enterprise IT features are thinner
  • Event-volume pricing still grows with telemetry; teams must manage sampling deliberately
  • Per-seat user pricing on paid plans, one of the cost lines buyers leave New Relic to escape

Verdict

Honeycomb is the best tool on this list for the debugging slice of what New Relic does: ask arbitrary questions of high-cardinality trace data and get answers interactively. Moving from New Relic means replacing language agents with OTel SDKs pointed at Honeycomb’s OTLP endpoint - and accepting that NRQL dashboards have no equivalent, because Honeycomb’s model is ad-hoc query, not stored boards. Infrastructure monitoring stays with another tool, so this is usually a two-vendor post-New Relic stack. If coarse APM aggregates were your frustration, that trade is worth it.

Vendor 08 / 11 · #elk

08

Elastic Observability

Elasticsearch-based observability suite covering logs, metrics, traces and APM, deployable self-managed or as Elastic Cloud.

Best for

  • Teams already running Elasticsearch that want observability on existing infrastructure
  • Buyers needing powerful full-text log search and long retention under their own control
  • Organizations with data-sovereignty requirements that want self-hosted full-stack observability

Pricing

  • Elastic Cloud: usage-based, pay-as-you-go or prepaid on resources consumed
  • Self-managed: licence-based on nodes and RAM used
  • Basic free tier of the self-managed distribution exists with limited features
  • Bill grows with data volume, retention and cluster size

Pros

  • Best-in-class full-text log search and analytics on the Elasticsearch engine
  • Full deployment flexibility: on-prem, private cloud, or Elastic Cloud across all major clouds
  • OpenTelemetry support via EDOT collectors and SDKs
  • Mature APM, uptime and SIEM capabilities on one data store

Cons

  • Operating a self-managed Elastic cluster is a significant engineering commitment: sizing, shards, upgrades
  • Cloud costs grow steeply with ingest and retention
  • Search-centric UI and workflow; out-of-the-box AI root-cause analysis and auto-dashboards are less turnkey than New Relic

Verdict

Elastic is the strongest self-hosted, log-centric answer to New Relic, and the only one where full-text search over long retention is the headline feature. Migration replaces New Relic agents with Elastic Agents or EDOT collectors, and NRQL becomes KQL, Lucene or EQL with dashboards rebuilt in Kibana. It is a heavier lift than New Relic for turnkey APM, and the operational burden of a self-managed cluster is real - budget engineering time, not just nodes. When logs are the dominant signal and data must stay in-house, it is the right call; otherwise it is more platform than most teams need.

Vendor 09 / 11 · #sentry

09

Sentry

Developer-first error tracking and application monitoring with tracing, profiling and session replay, self-hosted or SaaS.

Best for

  • Product engineering teams whose primary pain is application errors and release quality
  • Teams wanting tracing and profiling with a lightweight, developer-loved workflow
  • Organizations wanting an error-tracking layer alongside a separate infrastructure tool

Pricing

  • Usage-based: billed on events (errors, spans, replays) with plan tiers; per-seat pricing on team plans
  • Free developer tier with event-volume caps; paid tiers add quota management and features
  • Self-hosted open-source edition available; you run and operate it
  • Bill grows with event volume; quota controls and sampling are the levers

Pros

  • Category leader in error tracking with deep stack traces, release tracking and issue workflow
  • Adds tracing, profiling and session replay; strong language and SDK coverage
  • Self-hosted option and generous free developer tier
  • Frequently adopted as the application-layer complement when teams leave all-in-one APM vendors

Cons

  • Not an infrastructure monitor: host, network, database and Kubernetes monitoring are out of scope
  • Event-volume pricing still grows with usage; high-throughput apps need sampling discipline
  • Log management is not a core capability

Verdict

Sentry replaces the slice of New Relic that product engineers touch daily - errors, releases, traces, profiling - and does it with a workflow developers genuinely prefer. Per-language SDKs replace New Relic APM agents; NRQL dashboards have no equivalent because Sentry is issue- and event-centric. The catch is structural: hosts, networks, databases and Kubernetes are out of scope, so leaving New Relic for Sentry alone leaves half your estate blind. The common pattern is Sentry plus an infrastructure tool (Netdata, Grafana, Prometheus) as a deliberate two-vendor stack - two consoles instead of one, and a workflow teams tend to prefer.

Vendor 10 / 11 · #coroot

10

Coroot

eBPF-based observability platform that auto-discovers services, dependencies and metrics with zero code instrumentation, self-hosted or cloud.

Best for

  • Kubernetes-heavy teams that want service maps, dependencies and RED metrics without instrumenting code
  • Buyers who want New Relic-style automatic discovery but self-hosted
  • Teams frustrated with agent sprawl and manual instrumentation

Pricing

  • Open-source community edition, self-hosted: you run and operate it
  • Cloud/enterprise edition priced per monitored CPU core, a predictable infrastructure-based unit rather than data volume
  • 14-day trial of the paid edition
  • Bill grows with the compute size of monitored infrastructure, not with ingest volume

Pros

  • Zero-instrumentation: eBPF captures service dependencies, latency and metrics without code changes or language agents
  • Automatic service maps and per-service RED metrics out of the box
  • Predictable per-CPU-core pricing instead of ingest-based billing
  • Open-source edition for full control

Cons

  • Requires Linux kernel eBPF support; not suitable for Windows-heavy or restricted managed estates
  • Smaller company and ecosystem; fewer integrations and less enterprise packaging than New Relic
  • APM depth (code-level traces, profiling) is lighter than New Relic or Datadog

Verdict

Coroot is the most interesting architectural answer to New Relic on this list: deploy one eBPF agent and service maps, dependencies and RED metrics appear without touching application code. Migration is the lightest here - no SDK swaps, just node-level agents, with optional OpenTelemetry tracing for depth. The per-CPU-core bill scales with infrastructure size, not telemetry volume, which is the predictability cost-driven leavers want. The limits are real: Linux-only estates, no RUM or synthetics, lighter code-level APM, and a smaller vendor behind it. On Kubernetes, it punches well above its rank.

Vendor 11 / 11 · #betterstack

11

Better Stack

Observability and incident-management suite combining log management, metrics, uptime monitoring and on-call in one product with transparent pricing.

Best for

  • Teams that want logs, uptime and incident management in one place with straightforward pricing
  • Small-to-mid teams that found New Relic’s product maze and pricing complex
  • Organizations wanting on-call and status pages bundled with observability

Pricing

  • Usage-based: per-GB log retention pricing plus per-host and per-monitor dimensions for uptime monitoring
  • Free tier exists with usage caps
  • Add-on products (incident management, status pages, error tracking) priced separately
  • Bill grows with log volume, retention and monitored resources

Pros

  • Logs, metrics, uptime monitoring, on-call and status pages in one integrated product
  • Transparent, published per-GB and per-host pricing - a direct answer to opaque renewal experiences
  • OpenTelemetry and Prometheus ingestion for metrics; SQL-based metric querying
  • Strong incident-management workflow (Slack/Teams-native) that New Relic lacks natively

Cons

  • APM and distributed tracing are less mature than New Relic, Datadog or Dynatrace
  • Log-centric heritage: infrastructure metrics depth and auto-discovery are lighter
  • Per-GB retention pricing still scales with log volume

Verdict

Better Stack is the direct answer to the complexity complaint: one clean product, published pricing, and incident management bundled where New Relic makes you buy elsewhere. Migration ships logs via its collectors and metrics via Prometheus or OTel; error tracking is Sentry-compatible, but New Relic APM agents have no real equivalent here, so deep tracing teams should look higher up the list. It is the right size for small-to-mid teams whose New Relic usage was mostly logs, uptime and alerting, and the wrong tool for buyers who relied on APM depth.

Frequently asked questions