Top New Relic Alternatives in 2026

What Engineering Teams Actually Pay After Switching

New Relic is a capable full-stack platform, but its bill is built on two axes that both grow as you scale: data ingested and per-user seats. Full-platform user fees run $49 to $349 per user per month, so a 20-person team can pay $6,980 or more in seats alone before a single gigabyte of telemetry, and the Compute Capacity Unit model adds query and alert charges that spike during the incidents when engineers run the most queries.

This guide compares seven New Relic alternatives - CubeAPM, Datadog, Grafana Cloud, Coralogix, Elastic APM, Dynatrace, and Honeycomb - on pricing, deployment, and OpenTelemetry support, so you can see what teams actually pay after switching.

All cost estimates use the same mid-scale reference scenario:

Estimates are directional, based on public rate cards as of early 2026; vendor discounts can reduce SaaS costs significantly.

Why Teams Look Beyond New Relic

• Seat tax: full-platform user fees of $49 to $349 per user per month mean costs climb with team size before any data ingestion.
• CCU billing opacity: the Compute Capacity Unit model charges for queries, alerts, and data processing, which spikes during incidents.
• NRQL lock-in: dashboards, alerts, and custom queries are non-portable, so switching means rebuilding the query library.
• SaaS-only architecture: there is no self-hosted option, and regional data centers may not satisfy strict residency rules; self-hosted platforms like CubeAPM keep telemetry inside your own VPC.
• Short default retention: 8 days on the Original plan, with 90-day retention only on Data Plus at $0.60/GB.

1. CubeAPM

Best for: DevOps and platform teams that want full-stack observability inside their own cloud without SaaS data egress, pricing sprawl, or DIY self-hosting overhead

CubeAPM is a self-hosted, OpenTelemetry-native, full-stack observability platform that runs inside your own AWS, GCP, or Azure VPC, so telemetry data stays inside your infrastructure. Pricing is a single meter - data ingested - with no per-user seats, which removes New Relic's seat tax and CCU surprises entirely.

Used by Delhivery, Mamaearth, and the world's largest bus aggregator - redBus (part of MakeMyTrip Limited (NASDAQ: MMYT), 8+ countries). SOC 2 Type II and ISO 27001 certified, rated Capterra 5/5 and G2 5/5.

Key Features

• OpenTelemetry-native: compatible with OpenTelemetry, Datadog, New Relic, Elastic, and Prometheus agents for incremental migration
• No seat tax: unlimited users and unlimited retention included, with a single $0.15/GB meter and no per-host or custom metric fees
• Full MELT coverage, AI-based Smart Sampling, and an MCP server that customers can use to query CubeAPM in natural language
• 800+ integrations: APM, logs, infrastructure, Kubernetes, Kafka monitoring, synthetic monitoring, RUM, and error tracking

Pricing

Predictable pricing - $0.15/GB of data ingested. At 30TB/month: ~$5,100/month all-in. Delhivery saw a 75% cost reduction after replacing three separate monitoring tools, and Mamaearth saved ~70% and migrated in under an hour.

• Pro: predictable single-dimension pricing with no seats, data never leaves your VPC, and direct engineering support via WhatsApp and Slack, which responds in minutes
• Con: requires self-hosted deployment in cloud or on-prem; may not suit teams looking for a SaaS-only model.
• Con: AI/ML anomaly detection is growing but not as mature as Dynatrace Davis AI

2. Datadog

Best for: Teams that want one mature SaaS platform across observability and security, and where cost is not a constraint

Datadog is the category leader, with 1000+ integrations and unified coverage across infrastructure, APM, logs, RUM, and synthetics. It removes New Relic's seat model but replaces it with its own SKU sprawl: hosts, custom metrics, log ingestion and indexing, and APM spans are each metered separately, so the bill is broad rather than simple, and data leaves your infrastructure for analysis.

• Strengths: the deepest integration ecosystem and a mature, all-in-one SaaS platform.
• Watch-outs: multi-dimensional billing is hard to forecast, and CloudPrem self-hosting is limited to logs and remains in preview.
• Pricing: host + feature-based. At 30TB/month: ~$30,000-$45,000+/month.

3. Grafana Cloud (LGTM Stack)

Best for: OpenTelemetry-first teams that want flexible dashboards and open-source foundations

Grafana Cloud is the managed LGTM stack - Loki, Grafana, Tempo, and Mimir - with the strongest dashboarding in the category and Adaptive Metrics and Logs to trim ingestion costs. It is fully OTel-native with no custom-metrics penalty, and a self-hosted OSS path exists for teams with the operational capacity to run it.

• Strengths: fully OTel-native, the most flexible dashboards, and a free self-hosted option.
• Watch-outs: APM is less mature than dedicated tools, has no built-in AI/ML anomaly detection, and self-hosted Grafana is prone to performance degradation at scale.
• Pricing: usage-based. At 30TB/month (managed): ~$15,000-$20,000+/month.

4. Coralogix

Best for: Teams that want cost-controlled observability with customer-owned data storage

Coralogix uses its Streama engine to process telemetry in-stream before indexing, and stores data in your own S3 bucket with effectively infinite retention. Unlimited users, hosts, and data sources are included, and it is OpenTelemetry-native, with compliance covering SOC 2 Type II, ISO 27001, GDPR, HIPAA, and PCI DSS.

• Strengths: low-cost, high-volume log handling, customer-owned storage with infinite retention, and unlimited users.
• Watch-outs: DataPrime is a proprietary query language, signal-based pricing needs modeling, and the control plane is SaaS rather than fully self-hosted.
• Pricing: per-signal (logs $0.42/GB, traces $0.16/GB, metrics $0.05/GB). At 30TB/month: ~$6,370/month.

5. Elastic APM

Best for: Teams already on the Elastic Stack that want search, logs, and APM together with flexible deployment

Elastic APM extends Elasticsearch with distributed tracing, service maps, and ML-based anomaly detection, correlating traces with logs in one query interface. It can run as SaaS or fully self-managed, which keeps data in your environment and removes per-user pricing for teams already running ELK.

• Strengths: strong log and trace correlation and a self-hosted option that keeps data in your environment.
• Watch-outs: operational overhead at scale, a less polished APM UX, and the 2021 SSPL licensing change to review.
• Pricing: deployment-based; self-hosted is free (you cover infrastructure), Elastic Cloud from $99/month. At 30TB/month (Elastic Cloud): ~$8,000-$15,000/month.

6. Dynatrace

Best for: Large enterprises that need AI-automated, causal root-cause analysis across complex estates

Dynatrace pairs its Davis AI engine - automatic baselining, anomaly detection, and causal root-cause analysis - with OneAgent automatic discovery, and Dynatrace Managed offers genuine data residency. It is a premium platform aimed at large estates, with consumption-based pricing that lands well above New Relic at scale.

• Strengths: best-in-class automated causal root-cause analysis and deep full-stack monitoring.
• Watch-outs: proprietary OneAgent lock-in, a mandatory annual commitment, and consumption pricing that is hard to estimate.
• Pricing: consumption-based (memory-GiB-hour) with an annual minimum. At 30TB/month: ~$20,000-$35,000+/month.

7. Honeycomb

Best for: Engineering teams that want OTel-first observability and high-cardinality debugging across distributed systems

Honeycomb is built around wide events and OpenTelemetry as its primary instrumentation standard, with BubbleUp automating outlier detection across telemetry dimensions. Its event-volume pricing replaces New Relic's seat model, though cost still scales with the number of events you send.

• Strengths: OTel-first design, fast high-cardinality investigation, and no per-seat fees.
• Watch-outs: less infrastructure-first than full-stack platforms, largely SaaS-only (private cloud is early), and cost scales with event volume.
• Pricing: event-volume-based; Free up to 20M events/month, Pro from $130/month. At 30TB/month: ~$5,600/month.

Cost Comparison at 30TB/Month Ingestion

New Relic shows full platform users at $99 to $349 per user per month for full platform access, billed on top of data ingestion. * OTel metrics in Datadog are often billed as custom metrics. Estimates are directional; vendor discounts can significantly reduce SaaS costs.

Feature Matrix

Which New Relic Alternative Is Right for You?

• CubeAPM: cost predictability and data ownership; a single $0.15/GB meter with no seats keeps spend steady as the team grows.
• Datadog: a mature SaaS platform with the broadest integration ecosystem, when budget is not the binding constraint.
• Grafana Cloud: OTel-first teams that want maximum dashboard flexibility and open-source foundations.
• Coralogix: high log volume with customer-owned storage and infinite retention.
• Elastic APM: teams already on the Elastic Stack that want search, logs, and APM together.
• Dynatrace: enterprise AI automation and causal root-cause analysis across complex estates.
• Honeycomb: OTel-first, high-cardinality debugging across distributed systems.

When New Relic Is Still the Right Choice

• If the free tier offering 100GB free per month is sufficient for your use case
• You want one broad SaaS platform covering APM, infrastructure, browser, synthetics, Kubernetes, and incident workflows in one place
• You are already heavily invested in the New Relic ecosystem, and the migration cost exceeds the pricing delta
• You want AI-assisted observability built natively into the platform, with native OTLP ingest inside commercial SaaS

How to Migrate Away from New Relic

• Audit and prioritize: list what your team actively uses across APM, infrastructure, logs, dashboards, and alerts, and separate must-haves from nice-to-haves.
• Reroute and validate: OTel-instrumented telemetry is easiest to reroute; dual-write before cutover, rebuild dashboards and alerts, then validate before turning New Relic off.

Final Thoughts

Most teams leave New Relic over cost and control, not capability: the seat tax and CCU opacity make spend hard to forecast, and the SaaS-only model can block strict data-residency requirements. Among the alternatives, several make a strong case on cost, open-source platforms offer the most flexibility, and newer self-hosted platforms stand out for predictable pricing and data ownership.

Before switching, model your real telemetry volume, retention needs, residency requirements, and team size against your top two options. Those numbers decide it more clearly than any feature checklist.

Frequently Asked Questions

Why does New Relic get expensive as we scale?

Two axes grow at once: data ingested at $0.40/GB and per-user seats at $49 to $349 per user per month. Add the CCU model's charges for queries and alerts, and spend climbs with both data volume and headcount, which is why a 20-person team can pay several thousand dollars in seats before any telemetry.

What is the cheapest New Relic alternative at scale?

At a 30TB/month reference scenario, single-dimension and customer-storage models price lowest: self-hosted, ingestion-based platforms such as CubeAPM (~$5,100/month) and event- or signal-based tools like Honeycomb and Coralogix sit well below seat-and-data SaaS pricing.

Will we lose our NRQL dashboards if we migrate?

NRQL queries, dashboards, and alerts are non-portable, so plan to rebuild them in the new platform. Instrumenting with OpenTelemetry first keeps your underlying telemetry portable, so the rebuild is limited to queries and visualizations rather than re-instrumenting every service.

Can we keep telemetry in our own region?

New Relic is SaaS-only with regional data centers that may not meet strict residency rules. If in-region or in-VPC data storage is a hard requirement, self-hosted platforms keep telemetry inside your own cloud by architecture rather than as a paid add-on.