8 Best New Relic Competitors and Alternatives for 2026

The shortlist for replacing New Relic looks sharper in 2026 than it did 18 months ago. Artificial intelligence (AI) for incident investigation moved from marketing slide to working capability, ingestion-based pricing matured into a real alternative to seat-and-host bundling, and customer-owned storage shifted from edge case to enterprise default.

This guide covers the four issues pushing teams off New Relic, eight alternatives worth a shortlist position, a side-by-side comparison, and the five filters that narrow the field down to the two or three names worth a proof of concept.

The 4 Structural Issues That Push Teams off New Relic

Per-user pricing, multi-meter billing, query-language lock-in, and a software as a service (SaaS) only deployment compound across a renewal cycle in ways that don’t show up in a demo. Each one on its own is something a team works around, but stacked together they decide whether the renewal turns into an evaluation. Here are the four reasons that conversation starts:

• Per-user pricing that gates collaboration: Full Platform access, which covers full query, alerting, and dashboard authoring, starts at $349 per user. You either pay for more seats or route engineers through Core and Basic, where the features incident response needs get gated.
• Three meters that move in different directions: Per-user fees, per-gigabyte ingest, and Compute Capacity Unit charges price in parallel and trend independently across the year. Pricing is also the area where the product most consistently underperforms in peer review.
• NRQL portability that holds you in place: New Relic Query Language (NRQL) runs against the New Relic Database (NRDB), and only NRDB. An official translator takes PromQL queries inbound, but no documented path exists the other way for LogQL, TraceQL, or Structured Query Language (SQL). Streaming and historical export sit behind the Data Plus tier, so you pay again to move data you already paid to ingest.
• No self-hosted path: Telemetry flows to New Relic’s own infrastructure because the product runs as SaaS only, with no self-hosted option. Teams under General Data Protection Regulation (GDPR) localization rules or financial services residency mandates absorb a compliance lift the architecture doesn’t reduce.

The alternatives that fix these issues tend to share one or two architectural shifts: one billing meter instead of three, an open query layer that runs against open Parquet in your own bucket, or full data ownership at rest. The eight competitors below cover those shifts in different combinations.

The 8 Best New Relic Competitors and Alternatives

The eight products below span the architectures teams shortlist when per-user pricing or SaaS-only deployment finally pushes them into evaluation. Pricing and deployment eliminate candidates faster than feature checklists, so the comparison leads with both.

Platform	Pricing	Starting at	Deployment	OTel support	Best for
Coralogix	Ingestion-based per GB	$0.42/GB logs	SaaS + customer-owned S3	OTel-native	Cross-stack observability with data ownership
Datadog	Per host + per GB + per product	$31/host/month APM	SaaS, CloudPrem for logs	OTLP + Datadog Agent	Widest integration catalog
Dynatrace	Annual consumption + per-pod Kubernetes	$0.08/hour per 8-GiB host	SaaS, Managed, self-hosted	OTel alongside OneAgent	Enterprise APM with topology
Splunk Observability	Per host + per component	$15/host/month	SaaS only	Splunk OTel Collector	SIEM-adjacent observability
Grafana Cloud	Pay-as-you-go + Enterprise	Free tier; Pro per-GB on usage	SaaS or self-host the stack	Alloy (OTLP-compatible)	Open-source flexibility
Elastic Observability	Compute-capacity or per-GB	$0.07/GB Serverless	SaaS, Serverless, self-managed	OTel ingest	Search-heavy log workloads
Honeycomb	Event-volume	$130/mo for 100M events	SaaS, enterprise Private Cloud	OTel-native	High-cardinality tracing
AppDynamics	Per CPU core	Quote-based	SaaS, on-prem via Console	Partial; agent required	Business Transaction APM

Coralogix opens the list because the architecture, pricing model, and deployment story address all four issues from the previous section in one product. The rest follow by category, not ranking.

1. Coralogix: In-Stream Observability with Customer-Owned Storage

Coralogix runs logs, metrics, traces, and security data through one OpenTelemetry (OTel)-native in-stream pipeline. Parsing, enrichment, alerting, and anomaly detection all happen before any indexing step, then processed data lands in your own Amazon Simple Storage Service (S3) bucket in open Parquet format. You keep full data ownership at object-storage rates with unlimited retention and no rehydration fees.

Key features:

• Streama analyzes logs, metrics, traces, and security events in flight, evaluating alerts in under a second.
• DataPrime queries logs, metrics, traces, and business data in one pipe-based language, with Lucene available for hybrid queries.
• Olly, Coralogix’s autonomous observability agent, cross-references telemetry with your GitHub repo and returns root cause, blast radius, and the line of code to fix.
• TCO Optimizer routes streams into Frequent Search, Monitoring, Compliance, and Blocked pipelines based on policies you define for each data stream.

Pros:

• Ingestion-based pricing at $0.42/GB logs, $0.05/GB metrics, and $0.16/GB traces, with no per-host, per-user, or per-query fees.
• The only product on this list combining in-stream processing, customer-owned indexless storage in open Parquet, and an autonomous observability agent in one offering.
• Named a Visionary in the 2025 Gartner Magic Quadrant for Observability in its first year of evaluation.

Cons:

• Shorter track record than long-tenured incumbent vendors in some enterprise procurement cycles.
• Teams used to index-first tooling need a short ramp on in-stream concepts and DataPrime’s pipe syntax.

Best for: Engineering teams that want predictable cost, full data ownership, and AI-assisted investigation across logs, metrics, traces, and security in one product.

2. Datadog: Broad SaaS Catalog with Deep Integration Coverage

Datadog packages application performance monitoring (APM), infrastructure metrics, logs, security, and AI observability under one SaaS interface. OTel ships data through OpenTelemetry Protocol (OTLP) alongside the Datadog Agent. The product surface is wide, with billing meters that scale alongside it.

Key features:

• Watchdog auto-detects anomalies across logs, metrics, and traces without configured thresholds.
• Over 1,000 integrations across infrastructure, applications, and security sources.
• OLTP ingest accepted through the Datadog Agent and Datadog’s OpenTelemetry Collector distribution.

Pros:

• Mature dashboards, alerting, and workflow automation built over a decade of investment.
• APM, real user monitoring (RUM), and infrastructure monitoring sit in one interface, so investigations don’t switch tools mid-incident.
• APM tier pricing per month on annual commit.

Cons:

• Per-host, per-gigabyte, and per-product fees stack as your footprint grows, while Coralogix runs the whole product on one ingestion-based meter.
• Flex Logs does appear to add monthly compute when queries run against archived data, separate from the storage cost. Coralogix queries open Parquet archives directly with no rehydration fee.
• Self-hosted is limited to CloudPrem for log management, while APM, metrics, and the rest stay SaaS-only.

Best for: Teams that want the widest integration catalog in one SaaS product and can model modular billing as data and headcount grow.

3. Dynatrace: Causal AI Root Cause Across the Service Graph

Dynatrace runs on OneAgent for auto-instrumentation and Davis for causal AI root cause analysis. Topology-aware anomaly detection maps findings against a live service graph, which shortens investigation for supported runtimes. The product fits operations-led estates more cleanly than developer-first stacks.

Key features:

• OneAgent installs once per host and discovers topology and code-level visibility automatically.
• Davis traces root cause deterministically against the Smartscape topology graph.
• Grail lakehouse storage powers high-volume log analytics on the same product.

Pros:

• Root cause findings tie directly to the live service graph, which shortens investigation for supported runtimes.
• APM and digital experience monitoring are core strengths, not bolt-ons.
• Dynatrace Platform Subscription (DPS) replaced the previous Host Unit licensing and removed per-user fees.

Cons:

• OneAgent is proprietary and requires kernel-level access, which creates soft lock-in even when OTel runs alongside it. Coralogix is OTel-native end to end with no proprietary agent for core workflows.
• Kubernetes Platform Monitoring bills per pod-hour, which compounds in dense microservice environments. Coralogix meters by ingestion volume so pod density doesn’t swing the bill.

Best for: Enterprise operations teams running APM and digital experience monitoring as primary workloads, where deterministic causal root cause on the live service graph justifies the deeper instrumentation footprint.

4. Splunk Observability Cloud: Security-Adjacent Observability Inside Cisco

Splunk Observability Cloud now sits under Cisco after the March 2024 acquisition closed. The product ships logs, metrics, traces, and AI monitoring through one SaaS service, with the Splunk distribution of the OpenTelemetry Collector as the default ingestion path. The fit is strongest in security-forward estates where observability and security information and event management (SIEM) live under one contract.

Key features:

• NoSample tracing collects 100 percent of trace data instead of head- or tail-sampling.
• Splunk distribution of the OpenTelemetry Collector for default ingestion.
• AI Assistant and Agent Monitoring for large language model (LLM)-driven workloads.

Pros:

• Splunk holds Leader positions in both 2025 Gartner Magic Quadrants for Observability and SIEM, so observability and security stay under one vendor.
• APM, infrastructure, and synthetics live alongside Splunk Enterprise Security for joint investigations.

Cons:

• Per-host SKUs run separately for infrastructure, APM, and synthetics, each meter scaling with host count, while Coralogix bills per gigabyte ingested with no per-host fees so compute density doesn’t move the bill.
• Self-hosted isn’t an option for the Observability Cloud product. Coralogix runs as SaaS while writing processed data to your own S3 bucket, so you still own the data at rest.

Best for: Security teams that need observability and SIEM workflows under one Cisco-Splunk contract.

5. Grafana Cloud: LGTM Stack with Managed Convenience

Grafana Cloud runs the Loki, Grafana, Tempo, Mimir (LGTM) stack (Loki for logs, Mimir for metrics, Tempo for traces) plus Pyroscope for continuous profiling and Alloy for OTLP-compatible collection. The product earned a Leader position in the 2025 Gartner Magic Quadrant for Observability. Teams can self-host the open-source release or move to the managed cloud.

Key features:

• Loki, Mimir, Tempo, Pyroscope, and Alloy under one managed offering.
• Grafana Alloy ships OTLP-compatible collection across metrics, logs, traces, and profiles.
• Open-source releases of every backend keep the door open for self-host.

Pros:

• Loki, Mimir, Tempo, and Pyroscope all ship under Apache 2.0, so the same backends run free on self-host.
• Grafana dashboards are the de facto standard across most observability stacks, so existing dashboards and team familiarity carry over.

Cons:

• Production self-host means operating Loki, Mimir, and Tempo as three back ends with their own scaling thresholds. Coralogix runs all three signal types through one in-stream pipeline.
• Active-series counts and cardinality drift swing the bill month over month, while Coralogix’s policy-driven TCO Optimizer routes streams across Frequent Search, Monitoring, Compliance, and Blocked pipelines to hold costs predictable.
• Enterprise tier sits behind a sales conversation rather than a public price.

Best for: Product engineering teams that value open-source data formats and want managed convenience without giving up the option to self-host.

6. Elastic Observability: Search-Powered Logs with Multi-Path Deployment

Elastic Observability runs on Elasticsearch with self-managed, Elastic Cloud Hosted, and Serverless deployment paths. Elastic Distributions of OpenTelemetry (EDOT) is the formal OTel ingestion path, alongside Elastic Agent and Beats shippers. Indexed-first storage is the headline strength for ad hoc log search and the headline cost driver at high retention.

Key features:

• Elasticsearch as the storage layer across logs, metrics, traces, and security signals.
• EDOT covers OTel ingestion with auto-instrumentation across common runtimes.
• Searchable snapshots mount S3-archived data as a regular index on enterprise tiers.

Pros:

• Three deployment paths: self-managed, Elastic Cloud Hosted, and Serverless.
• Earned a Leader position in the 2025 Gartner Magic Quadrant for Observability.

Cons:

• Elastic indexes data before query, which compounds cost at high retention. Coralogix runs remote queries against open Parquet archives directly with no indexing step.
• Self-managed Elasticsearch needs platform engineers to handle shard management, scaling, and high availability.
• Compute-capacity pricing on Elastic Cloud is harder to translate from raw data volume than a per-gigabyte ingestion model.

Best for: Engineering teams with Elasticsearch operators on staff who want flexibility across self-managed and managed paths and run search-heavy log workloads.

7. Honeycomb: High-Cardinality Tracing with Event-Volume Pricing

Honeycomb’s Retriever columnar store skips pre-indexing, which lets queries hit any field without prior decisions. The architecture holds up where indexed systems struggle on high-cardinality data. The product surface is tracing-led, with logs and metrics treated as supporting signals.

Key features:

• Retriever columnar store with no pre-indexing across stored events.
• Standard OTel Collector and OTLP exporter work without plugins or proprietary software development kits (SDKs).
• BubbleUp clusters outliers across dimensions automatically during investigation.

Pros:

• Unlimited seats and queries on every plan.
• High-cardinality data holds up under query patterns that overwhelm indexed systems.
• Named a Visionary in the 2025 Gartner Magic Quadrant for Observability.

Cons:

• Event-volume pricing from $130 per month for 100 million events on Pro climbs, with the plan capping at 1.5 billion events.
• Logs and metrics are secondary to traces in the product surface. Coralogix runs all three signals through the same in-stream pipeline as equals.
• SaaS-only outside of the enterprise Private Cloud option, while Coralogix writes every customer’s processed data to their own S3 bucket on every plan.

Best for: Tracing-led teams investigating performance issues in distributed microservice architectures where high-cardinality query speed is the top priority.

8. AppDynamics: Business Transaction Monitoring Inside Cisco

AppDynamics joined Cisco through the Splunk acquisition and kept its per-CPU-core licensing and agent-based APM architecture. Business iQ correlates application transactions to revenue, which fits estates where finance and digital commerce teams own a slice of the observability surface. Self-host stays available through the Enterprise Console for hybrid deployments.

Key features:

• Per-CPU-core licensing across Infrastructure Monitoring, Premium, Enterprise, and Peak editions.
• Business iQ correlates application transactions to revenue and business key performance indicators (KPIs).
• OTel-based agent ships data into AppDynamics or Splunk Observability Cloud from one instrumentation.

Pros:

• Business-transaction visibility tied to revenue impact, useful for finance and digital commerce monitoring.
• Self-hosted Enterprise Console path covers hybrid estates with traditional three-tier applications.

Cons:

• Public list prices aren’t posted, while Coralogix’s pricing page leads with concrete per-gigabyte rates for logs, metrics, and traces.
• Per-CPU-core licensing scales with compute footprint, while Coralogix meters by ingestion volume so compute density doesn’t move the bill.
• Business Transaction monitoring depends on the proprietary agent rather than OTel-only instrumentation.

Best for: Enterprise teams running hybrid estates where business-transaction APM and on-premises deployment are both hard requirements.

The 5 Filters That Narrow Your New Relic Shortlist

Each filter eliminates a different kind of candidate, and the first three move the fastest. Running them in the order below leaves you with two or three names before the technical evaluation starts. Here’s how each one cuts your list:

• How your bill scales: Per-host and per-user models scale with infrastructure and headcount, which compounds in Kubernetes auto-scaling environments where peak node counts set the billing baseline. Per-ingestion models like Coralogix’s scale with telemetry volume you control through routing policies, which keeps the bill predictable.
• How portable your collection stays: Native OTel ingestion through OTLP keeps the collection layer reversible, since vendor swaps mean updating exporter config instead of re-instrumenting application code. Coralogix and Honeycomb run OTel as the primary path, while Datadog, Dynatrace, and AppDynamics keep proprietary agents for the deepest features.
• Where your data lives at rest: Dynatrace Managed, AppDynamics Enterprise Console, and Elastic self-managed all cover full self-hosted paths for teams under data-residency mandates. Coralogix sits in the middle, with analytics running as SaaS while processed data writes to your own S3 bucket in open Parquet.
• APM depth versus cross-stack coverage: Dynatrace and AppDynamics lead on APM depth with topology-aware causal root cause and Business Transaction mapping. Coralogix, Datadog, and Splunk run broader cross-stack offerings spanning APM, infrastructure, logs, and security, with Coralogix adding AI Center for LLM observability on the same in-stream pipeline.
• Compliance, residency, and retention: Rehydration fees and short default retention windows multiply total cost for teams that need years of queryable log data under Health Insurance Portability and Accountability Act (HIPAA) or Payment Card Industry Data Security Standard (PCI DSS). Coralogix stores data in your own S3 bucket with unlimited retention at object-storage rates and queries it without rehydration.

Stacking the five in order narrows the shortlist faster than walking a feature checklist. The candidates that survive all five are the two or three worth running production traffic through.

Picking the Right New Relic Alternative for Your Stack

Architecture differences between these eight products only show up once active series, retention windows, and a real on-call rotation are running through them at production volume. The cleanest evaluation fans telemetry through an OpenTelemetry collector to both New Relic and a shortlist of two or three candidates, then watches how each handles a real incident on your stack. Pricing predictability, query speed under load, and how each AI investigation reads against a real cause-and-effect chain in your codebase are where the differences land.

If per-user pricing, three billing meters, and a SaaS-only path are what’s pushing you toward an evaluation, try a free Coralogix trial and run ingestion-based pricing, in-stream analytics, and customer-owned S3 storage against your own production traffic for 14 days.

Frequently Asked Questions About New Relic Competitors

Who is New Relic’s biggest competitor?

Datadog is the closest direct competitor on market positioning and feature overlap, with both products bundling APM, log management, infrastructure monitoring, and real user monitoring under one SaaS interface. On pricing model and deployment, Coralogix sits closer, with ingestion-based billing and customer-owned S3 storage that neither vendor matches.

Is Datadog a better choice than New Relic?

Datadog’s wider catalog and Watchdog anomaly detection give it the edge on breadth, but multi-meter billing (per host plus per GB plus per product) makes cost modeling harder than New Relic’s two-meter approach. Teams whose top priority is predictable cost usually compare both against ingestion-based options like Coralogix.

What is the cheapest alternative to New Relic?

For self-hosted, SigNoz, OpenObserve, and the LGTM stack underneath Grafana Cloud all run at the open-source license cost. For managed pricing, Coralogix’s ingestion-based model at $0.42/GB for logs with no per-user fees keeps total cost predictable, and you can start a free trial to test it against your real traffic.

Is there a free or open-source New Relic alternative?

Grafana Cloud’s LGTM components (Grafana, Loki, Tempo, Mimir, and Pyroscope) all ship under Apache 2.0 and run free in self-host, and SigNoz and OpenObserve cover similar ground with an OTel-native stack on free open-source cores. New Relic itself includes a perpetual free tier with 100 GB per month and one Full Platform user.