Cost Control and Compliance Without SaaS Lock-In

For teams in regulated industries, the deployment model question comes before any feature comparison. If your telemetry contains patient identifiers, payment card data, or customer PII subject to data localisation laws, a SaaS-only observability platform is not a preference issue – it is a compliance blocker.

HIPAA, GDPR Article 44, India’s DPDP Act, PCI-DSS scoping rules, and FedRAMP requirements all impose constraints on where telemetry data can reside and who can access it. When APM traces capture API parameters, log entries contain user identifiers, and metrics correlate to individual transactions, observability data becomes regulated data. Sending it to a third-party SaaS platform introduces data residency risk that no BAA or DPA fully eliminates.

New Relic is a strong observability platform – full-stack coverage, native OTLP ingest, and mature SaaS workflows. But its cloud-only architecture means telemetry always leaves your infrastructure boundary. For teams where that is a non-starter, the alternatives worth evaluating are those that offer self-hosted deployment, data residency guarantees, or managed options that keep telemetry inside your VPC.

This guide evaluates seven alternatives through a compliance-first lens: deployment model, data residency, OpenTelemetry support, and real-world cost – including the cloud egress fees most comparison guides ignore.

Pricing Methodology

Assumption	Value
Monthly ingestion	30TB (~20TB logs, 7TB traces, 3TB metrics)
Retention	30 days, all signals
Log indexing	30% indexed, 70% archive
Hosts	100
Users	20 full-platform
Metric series	500,000 active
Scope	Core observability only

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

Why Data-Sovereign Teams Are Moving Off New Relic

SaaS-Only Architecture as a Compliance Blocker

New Relic supports regional data centers (US, EU), but the platform is fundamentally SaaS-only. There is no self-hosted deployment option. For teams under HIPAA, GDPR Article 44, India’s DPDP Act, or FedRAMP requirements, regional hosting within a vendor’s cloud may not satisfy data residency obligations – particularly when telemetry contains PII, PHI, or payment data that regulators expect to remain within your infrastructure boundary.

The structural problem: even with a BAA or DPA in place, telemetry data still leaves your VPC and resides on infrastructure you do not control. For compliance officers evaluating audit scope, this distinction matters.

NRQL Lock-In: Non-Portable Means Non-Compliant for Some Teams

Every dashboard, alert, and custom query built in New Relic uses NRQL – a proprietary query language. This creates two risks for regulated teams. First, switching platforms means rebuilding your entire query library from scratch. Second, vendor lock-in to a SaaS-only platform means your compliance posture depends on a vendor’s architecture decisions. Modern alternatives built on OpenTelemetry and SQL-compatible query engines keep queries vendor-neutral and migration paths open.

Data Residency Adds Cost on SaaS Platforms

New Relic’s Data Plus plan ($0.60/GB) provides 90-day retention and enhanced compliance features. At 30TB/month, that is $18,000/month for data alone – before user fees. For regulated teams that need longer retention or specific data residency, SaaS compliance features come at a premium that self-hosted platforms avoid structurally.

CCU Billing Opacity in Regulated Environments

New Relic’s Compute Capacity Unit (CCU) model removes seat limits but introduces billing dimensions that charge for queries, alerts, and data processing. In regulated environments where engineers run frequent audit queries and compliance dashboards, CCU consumption can spike unpredictably – precisely when predictable costs matter most for budget approvals.

Who Actually Needs On-Prem or Self-Hosted APM?

Not every team needs self-hosted observability. But for the following profiles, SaaS-only platforms are structurally inadequate:

• Fintech companies processing payment data where PCI-DSS scoping limits external telemetry
• Healthcare SaaS where APM traces contain patient identifiers in API call parameters
• Enterprise SaaS with customer data processing agreements committing to specific data residency
• Companies under India’s DPDP Act, EU’s GDPR Article 44, or active data localisation regulations
• Regulated financial services under FINRA or SEC data flow restrictions

The hidden financial benefit: when telemetry stays inside your VPC, you pay zero cloud egress. At 30TB/month, egress savings alone are ~$3,000/month – a cost that does not appear on any SaaS observability invoice but shows up on your cloud provider bill every month.

How We Evaluated Alternatives for Regulated Teams

For data-sovereign teams, the evaluation criteria are ordered differently than a general observability comparison. Deployment model and data residency come first – everything else is secondary if the platform cannot satisfy your compliance requirements.

• Deployment model and data residency: SaaS-only, self-hosted, or managed self-hosted. Can telemetry remain inside your VPC? Does the vendor offer deployment options that satisfy HIPAA, GDPR, PCI-DSS, and data localisation requirements?
• OpenTelemetry support – native vs bolt-on: OTel-native platforms ingest OTLP data without transformation – no context loss, no proprietary agent dependency. For regulated teams, vendor-neutral instrumentation is also a risk mitigation strategy.
• Pricing model and cost predictability: How pricing behaves as telemetry volume grows. Regulated teams often retain data longer and run more compliance queries – pricing models that charge per-query or per-seat compound faster in these environments.
• Observability depth (MELT coverage): Metrics, Events, Logs, and Traces – the four pillars. We evaluate whether each platform covers all four and how well signals are correlated for investigation.
• Kubernetes and cloud-native support: Where observability complexity grows fastest – particularly in multi-region deployments common in data-sovereign architectures.
• The hidden egress cost: When you send telemetry to any external SaaS platform, your cloud provider charges ~$0.10/GB for data leaving your VPC. At 30TB/month, that is $3,000/month that does not appear on your observability invoice.
• Ease of migration from New Relic: Can existing instrumentation be reused? How long does the transition take?

1. CubeAPM

Best for: Data sovereignty by architecture, cost control, and teams that need telemetry to stay inside their VPC

Overview

CubeAPM is an OpenTelemetry-native, full-stack observability platform built for teams that need unified visibility across metrics, events, logs, and traces without sending telemetry outside their infrastructure boundary. It deploys inside your own AWS, GCP, or Azure VPC – traces, logs, and metrics never leave your network. CubeAPM handles upgrades, patches, and platform operations; you provide the infrastructure.

Data Residency: Always in-VPC. Telemetry never crosses your infrastructure boundary. No BAA or DPA required for observability data because it never leaves your control.

Ranked in the top 10 APM platforms in G2’s Spring 2026 APM Grid Report. Used by Policybazaar (insurance), Delhivery ($3.5B logistics), Mamaearth ($1.2B), redBus (NASDAQ-listed MakeMyTrip), Ola, and Practo (healthcare). SOC 2 Type II and ISO 27001 certified.

Key Features

• Full MELT observability: Metrics, events, logs, and traces in one platform with a single investigation workflow
• OpenTelemetry-native: Built from the ground up on OTel. No proprietary agent required. Compatible with existing Datadog, New Relic, Elastic, and Prometheus agents for incremental migration
• Self-hosted, vendor-managed: Deploys in your VPC. Zero cloud egress cost (saves ~$3,000/month at 30TB vs any external SaaS)
• AI-based Smart Sampling: Reduces low-value telemetry volume while preserving high-value traces
• Unlimited retention: Included in pricing – no separate retention charges
• 800+ integrations: Kubernetes, synthetic monitoring, RUM, and error tracking included

Pricing

Predictable $0.15/GB ingested. No per-user fees. No per-host charges. Unlimited users and unlimited data retention included.

At 30TB/month: ~$5,100/month all-in ($4,500 license + ~$600 infra)

Delhivery: 75% cost reduction. Mamaearth: ~70% savings, migrated in under an hour. redBus: 4x faster dashboards, 50% faster MTTR.

Pros

• 70-75% lower cost than enterprise APM at scale
• Complete data ownership – telemetry never leaves your VPC
• Predictable pricing with no hidden billing dimensions
• Zero cloud egress cost
• Fast migration – multiple customers report under-an-hour setup

Cons

• Requires self-hosted deployment in cloud or on-prem; may not suit teams looking for a SaaS-only model.
• AI/ML anomaly detection growing but not as mature as Dynatrace Davis AI

2. Datadog

Best for: Broad SaaS ecosystem coverage with the budget to manage billing complexity

Overview

Datadog is the largest commercial observability platform and New Relic’s most direct competitor. Its integration catalog (900+) and feature breadth are unmatched – APM, logs, security, RUM, synthetics, and network monitoring under one roof. The trade-off is cost: host-based pricing compounds quickly at scale, and custom metrics charges are a persistent source of bill shock.

Data Residency: SaaS-only. Telemetry leaves your VPC and resides on Datadog-managed infrastructure. No self-hosted option. For regulated teams, this is a structural limitation that no contractual agreement fully resolves.

Key Features

• Unified observability: metrics, logs, APM, RUM, synthetics, security, database monitoring
• 900+ integrations – largest ecosystem in the category
• Kubernetes Explorer with pod, deployment, and resource visibility
• Synthetic monitoring across browser, API, and network-level tests
• OpenTelemetry support via OTel Collector and Datadog Agent

Pricing

Multi-dimensional billing: hosts + custom metrics + log ingestion ($0.10/GB) + log indexing (~$1.70/million events) + APM spans + RUM sessions. OTel metrics are often billed as custom metrics.

At 30TB/month: ~$30,000-$45,000+/month

Breakdown (30% logs indexed): 100 hosts ~$2,400 + log ingest 20TB ~$2,000 + log indexing ~$30,000 + APM spans ~$3,000-5,000 + custom metrics ~$5,000+. Log indexing is the dominant cost driver.

Pros

• Best-in-class integration ecosystem and product breadth
• Strong Kubernetes, container, and cloud-native monitoring
• Watchdog AI proactively surfaces anomalies
• Mature CI/CD and deployment tracking

Cons

• Billing complexity: host fees + custom metric overages + log indexing combine unpredictably
• OTel metrics billed as custom metrics – adds cost for teams adopting open standards
• SaaS-only – not suitable for teams with data residency requirements; self-hosted platforms are worth evaluating for those use cases
• Total cost at scale significantly exceeds alternatives with simpler pricing models

3. Dynatrace

Best for: Large enterprises that need AI-automated root cause analysis with a managed deployment option

Overview

Dynatrace differentiates with its Davis AI engine, which automatically maps service dependencies and performs causal root-cause analysis. Gartner ranks Dynatrace highest in “Ability to Execute” among observability vendors. The platform targets large enterprises with complex, fast-moving microservice estates.

Data Residency: Managed deployment option available (Dynatrace Managed). Telemetry can stay within your infrastructure, but the managed model requires significant commitment and is typically reserved for large enterprise contracts.

Key Features

• Davis AI: Automatic baselining, anomaly detection, and probable-cause analysis
• Full-stack monitoring via OneAgent with automatic service discovery
• OpenTelemetry support via OTLP API, OTel Collector, and Dynatrace Collector
• Dedicated Kubernetes observability with flexible deployment via Dynatrace Operator
• Log management with separate ingest, processing, and retention pricing

Pricing

Usage-based with separate rate-card units. Full-Stack Monitoring at $0.01/memory-GiB-hour, Log Management ingest/process at $0.20/GiB, retain at $0.0007/GiB-day.

At 30TB/month: ~$20,000-$35,000+/month

Breakdown: 100 hosts x $0.08/hr x 8 GiB x 730 hrs ~$4,700 + log ingest 20TB x $0.20/GiB ~$4,100 + log retention ~$430 + traces/metrics/APM + commitment overhead.

Pros

• Best automated root cause analysis in the market
• Automatic full-topology discovery – minimal manual configuration
• Managed deployment option for data residency (Dynatrace Managed)
• Strong compliance and enterprise security features

Cons

• Proprietary OneAgent creates its own vendor lock-in
• Memory-GiB-hour pricing is harder to estimate than flat per-GB models
• Log retention billed separately from log ingestion
• Davis AI requires a baselining period – new deployments do not get full value immediately

4. Grafana Cloud (LGTM Stack)

Best for: OTel-first teams that want flexible dashboards with a self-hosted path for data residency

Overview

Grafana Labs assembled the LGTM stack – Loki (logs), Grafana (dashboards), Tempo (traces), Mimir (metrics) – into a coherent observability platform. Grafana Cloud is the managed version. Paired with Grafana Alloy (an OTel Collector distribution), it provides dedicated OTLP endpoints that auto-route signals to the right backend. Best for teams already running Prometheus who want to extend to full observability without a forklift migration.

Data Residency: Self-hosted path available via open-source LGTM stack. If deployed on your own infrastructure, telemetry stays in-VPC. Grafana Cloud (managed) is SaaS – telemetry leaves your boundary.

Key Features

• LGTM stack: Mimir for metrics, Loki for logs, Tempo for traces
• Grafana Alloy: OTel Collector distribution with built-in Prometheus pipelines
• Strongest dashboarding and visualization across multiple telemetry sources
• k6 performance testing integrated into the observability ecosystem
• Cost attribution features for metrics, logs, and traces

Pricing

Usage-based across telemetry types. Logs: $0.05/GB process + $0.40/GB write + $0.10/GB retain. Traces: same structure. Metrics: $6.50/1k active series. Platform fee: $19/month.

At 30TB/month (managed cloud): ~$15,000-$20,000+/month

Breakdown: 20TB logs ~$11,000 + 7TB traces ~$3,500 + 500K metric series ~$4,000 + base. Adaptive Metrics/Logs features can reduce this materially.

Pros

• Fully OTel-native – no custom metrics penalty
• Adaptive Metrics/Logs actively help reduce billing
• Strong open-source community; highly customizable
• Self-hosted path available for cost-driven teams with operational capacity

Cons

• No native APM out-of-the-box – requires significant configuration
• Self-hosting at scale requires dedicated SRE expertise
• Usage-based pricing still grows with volume on managed cloud
• LGTM stack has a steep learning curve for teams new to Grafana

5. Elastic APM

Best for: Teams already on the ELK stack who need data residency through self-hosted deployment

Overview

Elastic APM is the distributed tracing and application monitoring component of the Elastic Stack. For teams already indexing logs in Elasticsearch and visualizing in Kibana, adding APM is natural. It provides distributed tracing, service maps, error tracking, and MELT correlation. Note: Elastic APM’s OSS version reached end-of-service in September 2025 – evaluate managed options carefully for new deployments.

Data Residency: Self-hosted option available (SSPL license). When deployed on your infrastructure, telemetry stays in-VPC. Elastic Cloud (managed) is SaaS – telemetry leaves your boundary.

Key Features

• Native Elasticsearch integration: APM data correlates directly with log indices
• OpenTelemetry compatible across serverless, self-managed, and hybrid deployments
• Machine learning-based anomaly detection via Elastic ML
• RUM via JavaScript agent for frontend experience monitoring
• Available self-hosted (SSPL license) or Elastic Cloud

Pricing

Self-hosted is free; you cover infrastructure. Elastic Cloud: consumption-based. Serverless Observability: Logs Essentials from $0.07/GB ingested + $0.017/GB retained/month.

At 30TB/month (Elastic Cloud): ~$8,000-$15,000/month

Pros

• Zero incremental cost if already running Elastic for logs
• Strong log + trace correlation in the same query interface
• Self-hosted option keeps data on your infrastructure
• ML-based anomaly detection included

Cons

• Significant operational overhead to run self-hosted at scale
• KQL (Kibana Query Language) is less developer-friendly than SQL
• 2021 SSPL licensing change – review for open-source compliance
• APM experience is less polished than purpose-built APM tools

6. Splunk Observability Cloud

Best for: Enterprises with existing Splunk investments and deep SIEM integration needs

Overview

Splunk Observability Cloud is known for real-time, full-fidelity monitoring across infrastructure, applications, and user interfaces. Its OpenTelemetry collection path uses the Splunk Distribution of the OTel Collector. Strong for enterprises that want mature SaaS monitoring with deep infrastructure and APM workflows alongside Splunk’s security portfolio.

Data Residency: Limited. Primarily SaaS-first. Splunk Enterprise (on-prem) handles logs and SIEM, but the Observability Cloud component is cloud-hosted. Not suitable for teams requiring fully self-hosted APM.

Key Features

• Full-fidelity distributed tracing (no default sampling)
• AI-powered alerting with built-in noise reduction
• Deep Splunk SIEM and log analytics integration
• Real-time stream processing for telemetry
• Uses Splunk Distribution of the OpenTelemetry Collector

Pricing

Modular with separate packaging for infrastructure, APM, RUM, and synthetics. Infrastructure Monitoring from $15/host/month. App & Infra from $60/host/month. End-to-End from $75/host/month.

At 30TB/month: ~$35,000-$60,000+/month

Pros

• Full-fidelity traces – no sampling means no blind spots
• Best-in-class integration with Splunk Security for unified IT and security observability
• Mature enterprise compliance story

Cons

• Among the most expensive platforms in this comparison
• Modular pricing with separate packaging for each capability
• Best value only with existing Splunk investment – overkill otherwise
• SaaS-first – not suitable for teams requiring self-hosted backends

7. Sentry

Best for: Developer-first teams that debug from code and user experience inward

Overview

Sentry is known for developer-first error monitoring that has grown into a broader application monitoring platform covering errors, tracing, logs, session replay, profiling, and cron monitoring. Best for developer-led teams that want fast issue triage without adopting a heavier infrastructure-first observability platform.

Data Residency: Self-hosted option available. When deployed on your infrastructure, telemetry stays within your boundary. Sentry’s managed cloud is SaaS.

Key Features

• Session Replay: Video-like reproductions of user sessions for web and mobile – a meaningful advantage for frontend debugging not available in most observability platforms
• Error monitoring with stack traces, breadcrumbs, and context
• Distributed tracing and performance monitoring
• Profiling and cron monitoring
• Self-hosted option available

Pricing

Event + usage-based. Team plan from $26/month base. Logs: $0.50/GB (Team PAYG). Spans: from $0.0000020/span above 5M.

At 30TB/month: ~$15,260/month

Pros

• Best-in-class developer experience for error triage
• Session Replay provides video-like debugging not found in traditional APM
• Self-hosted option for data control
• Strong frontend and mobile debugging capabilities

Cons

• Primarily error and debugging focused – not full infrastructure observability
• Teams needing deep infrastructure monitoring will need a complementary tool
• Pricing at high volume can approach traditional APM costs
• Less suited for infra-first or SRE-led observability workflows

Cost Comparison at 30TB/Month Ingestion

Tool	Est. Cost @ 30TB/mo	Pricing Model	OTel Native	Data Residency	Self-Hosted
CubeAPM	~$5,100/mo all-in	$0.15/GB flat	Native	Always (in-VPC)	Yes (vendor-managed)
Elastic APM	~$8K-$15K	Deployment-based	Partial	If self-hosted	Yes
Sentry	~$15K-$32K	Event + usage	Partial	If self-hosted	Yes
Grafana Cloud	~$15K-$20K+	Usage-based	Native	If self-hosted	Yes
New Relic (ref.)	~$20K-$25K+	Ingest + per-user	Partial	SaaS only	No
Dynatrace	~$20K-$35K+	GiB-hour + commit	Partial	Managed option	Managed
Datadog	~$30K-$45K+	Host + feature-based	Partial*	SaaS only	No
Splunk	~$35K-$60K+	Host + enterprise	Partial	Limited	Limited

* OTel metrics in Datadog are often billed as custom metrics. New Relic included as reference. All estimates use the methodology assumptions above. Vendor discounts and EDP commitments can significantly reduce SaaS costs.

What New Relic Actually Costs at Your Team Size

Most comparison guides show pricing tiers. What they do not show is how those tiers combine – data ingest + user seats + synthetics + cloud egress – into a real monthly bill. For regulated teams, add the cost of Data Plus ($0.60/GB) for 90-day retention that compliance often requires.

Team Profile	Data / Users	New Relic /mo	CubeAPM /mo	Annual Saving	Saving %
Small team	500 GB, 3 users	~$458	~$75	~$4,596/yr	~84%
Growing team	5 TB, 10 users	~$4,955	~$750	~$50,460/yr	~85%
Mid-market	30 TB, 50 users	~$24,745	~$4,500	~$242,940/yr	~82%
Enterprise	200 TB, 150 users	~$97,750	~$30,000	~$813,000/yr	~69%

New Relic costs: Standard plan, Original data ($0.40/GB beyond 100GB free), full platform users at $99/user/month. CubeAPM: $0.15/GB, no user fees. Enterprise pricing may include negotiated discounts not reflected here.

If you want to model your current New Relic bill before committing to a switch, the New Relic pricing calculator breaks down every cost dimension: data ingest, user seats, synthetics, and cloud egress fees most teams overlook.

The Hidden Cost: Cloud Data-Out Egress

When you send telemetry to any external SaaS platform – New Relic, Datadog, or any cloud-hosted alternative – your cloud provider charges approximately $0.10/GB for data leaving your VPC. At 30TB/month, that is $3,000/month in AWS or GCP egress fees that does not appear on your observability invoice. For data-sovereign teams, self-hosted platforms running inside your VPC eliminate this cost entirely – and eliminate the compliance question of telemetry crossing infrastructure boundaries.

How to Migrate from New Relic to an OTel-Native Platform

Migration anxiety is real – you have built dashboards, tuned alerts, and accumulated operational knowledge in New Relic over months or years. The good news: switching to an OpenTelemetry-native platform is structurally less painful than previous APM migrations. Once your services emit OTLP data, you can point that data at any compatible backend with a configuration change rather than re-instrumentation.

Week	Focus	Key Actions	Exit Criteria
1	Instrument inventory	List every service using NR agents. Map data volumes per service. Choose target platform.	Full inventory. Platform selected.
2	Parallel run	Deploy OTel Collector alongside NR agents on 1-2 non-critical services. Dual-write telemetry. Compare dashboards.	Traces/metrics parity confirmed on pilot services.
3	Dashboard migration	Recreate top 10 critical dashboards and all active alerts. Validate alert accuracy. Remove NR agents from pilot services.	Critical dashboards live. Alert parity verified.
4	Full cutover	Roll OTel agents to remaining services. Cancel NR agents service-by-service. Run NR in read-only mode for 2 weeks.	All services on new platform. NR agents decommissioned.

Practical note: Run both platforms simultaneously for at least two weeks before cancelling New Relic. Teams consistently discover dashboards they forgot existed, alerts that were silently firing, or integrations that depended on NR’s API. Document what each dashboard is measuring, not the NRQL syntax, before migrating.

Which New Relic Alternative Is Right for Your Compliance Requirements?

• Choose CubeAPM if HIPAA, GDPR, or data localisation is a hard requirement and you need telemetry to stay in-VPC with zero egress cost and predictable pricing.

• Choose Datadog if compliance is not a deployment blocker and you need the broadest SaaS ecosystem. Model custom metrics costs before committing.

• Choose Dynatrace if you need enterprise AI automation and can leverage Dynatrace Managed for data residency within a large enterprise contract.

• Choose Grafana Cloud if you are OTel-first and have the SRE capacity to self-host the LGTM stack for data residency, or are comfortable with managed cloud.

• Choose Elastic APM if your team already runs ELK and wants to add distributed tracing on self-hosted infrastructure without introducing another vendor.

• Choose Splunk if your organization has an existing Splunk investment and needs unified IT and security observability within its existing compliance framework.

• Choose Sentry if your team is developer-led, needs session replay and error monitoring, and can self-host Sentry for data control requirements.

When New Relic Is Still the Better Choice

New Relic is still the right choice for teams that want a broad commercial observability platform with strong full-stack coverage in one SaaS environment – particularly when data residency is not a hard compliance requirement.

• If the free tier of New Relic offering 100GB per month is sufficient for your use case.
• You want one vendor covering APM, infrastructure, browser, synthetics, Kubernetes, and incident workflows in one place
• You are already heavily invested in the New Relic ecosystem (dashboards, alerts, NRQL queries) and migration cost exceeds the pricing delta
• You need native OTLP ingest inside a commercial SaaS platform without moving to a self-managed stack
• You need mature synthetic monitoring with scripted browser/API tests and private locations
• You are comfortable actively managing telemetry volume, CCU consumption, and ingest governance
• Your compliance framework accepts SaaS-hosted telemetry with regional data center selection and a signed DPA

Final Thoughts

For teams where data residency is a regulatory obligation rather than a preference, the choice of observability platform is fundamentally a deployment model decision. No amount of feature comparison matters if the platform cannot satisfy where your telemetry resides.

The practical decision tree for regulated teams starts with one question: can telemetry stay inside your infrastructure boundary? If the answer must be yes, SaaS-only platforms are structurally disqualified – regardless of their feature set. Self-hosted and vendor-managed self-hosted platforms are the only viable path. If managed deployment with vendor support is acceptable, the field narrows further based on contract requirements and cost.

For teams where compliance allows SaaS deployment, the evaluation shifts to cost predictability, OpenTelemetry fit, and operational effort. Model your bill across data volume, user count, and cloud egress before committing – the gap between flat per-GB pricing and multi-dimensional billing models is often larger than teams expect at regulated-industry retention periods.

Compare your top two options against your actual telemetry volume, compliance requirements, and budget before making the switch. The deployment model will narrow the field; the numbers at your scale will make the final decision clear.

Frequently Asked Questions

1. What is the best New Relic alternative for data-sovereign teams?

There is no single best option for every team. For teams that need telemetry to stay inside their VPC, the evaluation starts with deployment model. Self-hosted and vendor-managed self-hosted platforms offer structural data residency that SaaS platforms cannot match regardless of contractual agreements.

2. Which New Relic alternative is best for self-hosting?

Grafana (LGTM stack) and Elastic APM support fully self-managed deployment. For teams that want self-hosted observability without managing the backend themselves, vendor-managed self-hosted options exist that handle platform operations within your VPC.

3. Can SaaS observability platforms satisfy HIPAA or GDPR requirements?

SaaS platforms can support HIPAA and GDPR through BAAs, DPAs, and regional data centers. However, telemetry still resides on infrastructure you do not control. For some compliance officers and audit frameworks, self-hosted deployment where data never leaves your VPC is the only model that fully satisfies data residency obligations.

4. What is the cheapest New Relic alternative for regulated industries?

For regulated teams that need self-hosted deployment, platforms with flat per-GB pricing and no per-user fees offer the lowest TCO – particularly when cloud egress savings and compliance-driven retention costs are included in the calculation.

5. Can I use OpenTelemetry to replace New Relic agents?

Yes, and this is the recommended migration path. New Relic’s proprietary agents can be replaced with the OTel SDK for your language and the OTel Collector for batching and routing. New Relic itself accepts OTLP data, so you can migrate instrumentation to OTel without changing backends first – then point the Collector at your new platform when ready.

6. How much does cloud egress cost for observability data?

Cloud providers charge approximately $0.10/GB for data leaving your VPC. At 30TB/month, that is $3,000/month in egress fees that does not appear on your observability invoice. Self-hosted platforms running inside your VPC have zero data-out cost – and for regulated teams, this also eliminates the compliance question of telemetry crossing infrastructure boundaries.

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