New Relic made a pricing bet in 2020 that most of the industry thought was strange: stop charging per host and start charging per user. The logic was that data volume was a tax on good engineering, and that what teams actually paid for was access, not storage. That pivot made New Relic genuinely cheaper than Datadog for data-heavy deployments and genuinely expensive for large engineering organizations where everyone needs investigative access. A team of 20 engineers all needing full platform access during on-call pays $6,980 per month in seat fees before a byte of telemetry applies.
Coralogix made the opposite bet: unlimited users, unlimited hosts, charge for data volume. Your engineers can all see the data. What you pay for is how much you send and which storage tier it lands in. The platform also made a structural choice that New Relic never made: your data lives in your own S3 or GCS bucket in open formats, not in Coralogix's infrastructure. If you leave, your data is already with you.
Those two bets produce very different outcomes depending on your team structure. For a two-person startup generating modest data volumes, New Relic's free tier (100GB per month, one full platform user, forever) is genuinely hard to beat. For a 30-person engineering organization where everyone rotates on-call, the seat math on New Relic produces a number that sends teams looking at alternatives, and Coralogix is usually one of the first names that comes up.
The comparison is more nuanced than just pricing though. New Relic's unified NRDB backend makes the investigation experience genuinely smooth: one query language, one interface, click from alert to trace to log to infrastructure metric without configuration. Coralogix routes data through a Streama engine that fires alerts before indexing, but splits your data across storage tiers that require upfront classification decisions, and uses DataPrime, a proprietary query language that is powerful but means every dashboard and saved investigation your team builds is tied to the platform. That is a different kind of vendor dependency from data format lock-in, and it is worth thinking through clearly before committing.## Quick comparison at a glance
| Feature | New Relic | Coralogix |
|---|---|---|
| Primary purpose | Unified full-stack observability SaaS | In-stream observability with customer-owned storage |
| Deployment model | SaaS only | SaaS (data in your own S3/GCS/Azure bucket) |
| Free tier | Yes (100GB/month + 1 full platform user, forever) | 14-day trial (no credit card) |
| Pricing model | Per-user + data ingest (GB) | Units-based (data volume, no seats, no hosts) |
| Unlimited users | No (full platform $349/month Pro) | Yes |
| Unlimited hosts | No | Yes |
| All features included | No (add-on model) | Yes |
| Data ownership | New Relic hosted | Your S3/GCS/Azure bucket |
| Query language | NRQL (proprietary, unified) | DataPrime + PromQL + Lucene |
| OTel support | Yes (native, no surcharge) | Yes (first-class, no surcharge) |
| APM / distributed tracing | Yes (primary strength) | Yes (OTel-native, code-level profiling) |
| Code-level profiling | Yes (thread profiling via APM agents) | Yes |
| Serverless APM | Yes | Yes |
| SLO management | Yes | Yes (built-in with error budgets) |
| Log management | Yes (all searchable, $0.40/GB) | Yes (in-stream, infinite retention, your bucket) |
| Infrastructure monitoring | Yes | Yes (fleet management, cross-account) |
| Real user monitoring | Yes (browser + mobile, Gartner Leader) | Yes (browser + mobile, network monitoring) |
| Session replay | Yes | Yes |
| Synthetic monitoring | Yes | Yes |
| AI investigation | Yes (SRE Agent, Preview Feb 2026) | Yes (Olly, multi-agent, initiated then autonomous) |
| MCP server | Yes (Preview, Agentic Platform) | Yes (GA, all customers) |
| AI agent / LLM monitoring | Yes (AI Observability, June 2026) | Yes (AI Center, full suite with guardrails) |
| Cloud SIEM | Limited (Security RX in preview) | Yes (2,500+ rules, in-stream) |
| MDR | No | Yes (via Snowbit.io) |
| Incident management | Alerting + Applied Intelligence | Alerting only (PagerDuty/OpsGenie for on-call) |
| On-call scheduling | Via New Relic On-Call or integrations | Not included |
| Status pages | No | No |
| SOC 2 Type II | Yes | Yes |
| HIPAA | Yes (Data Plus) | Yes |
| PCI DSS | No | Yes |
| ISO 27001 | No | Yes |
| FCA | No | Yes |
| FedRAMP | Yes (Moderate, expanding to High) | Yes (GovCloud region) |
| 24/7 human support | Enterprise tier | Yes (all tiers, 17s median response) |
New Relic puts logs, metrics, traces, and events into NRDB and makes everything queryable through NRQL. The investigation workflow that follows is the whole product pitch: an alert fires and you click from the alert to the relevant APM trace to the surrounding logs to the infrastructure state at that moment, all without switching interfaces or learning a new query syntax. It is seamless because everything is in the same place, and the unified query language means a new team member can get productive quickly.
The pricing model reflects that unity in a specific way. OTel is native with no surcharge. The free tier (100GB/month, one full platform user, forever) is genuinely usable for small teams. Beyond that, you pay $0.40/GB for ingest and $349/month per full platform user on Pro. The seat model is where cost compounds with headcount, and for teams with more than five or six engineers who all need investigative access during on-call, the seat bill starts dominating the total.
Coralogix's Streama engine analyzes all telemetry as it flows through the platform, before anything reaches storage. Alerts fire and anomaly detection runs on data that has not yet been indexed anywhere, which means zero delay between an event occurring and your alerting system reacting to it. After Streama processes the data, it routes to three destinations you configure via the TCO Optimizer: Frequent Search (hot, indexed, instant queries), Monitoring (in-stream analysis only, not queryable after the fact), and Archive (your own S3 or GCS bucket, queryable via DataPrime but with slower response).
The customer-owned storage model is one of Coralogix's most consequential architectural choices. Your logs, traces, and metrics live in your cloud account in open formats. Coralogix compresses logs 5x before writing to your bucket, making the effective S3 cost around $0.003 per GB. You own the data, you control retention, and if you leave Coralogix, your data is already with you. Infinite retention is not a premium add-on.
What the routing model requires: you make classification decisions upfront about which data goes where. Data that only passes through the Monitoring pipeline cannot be queried ad-hoc after the fact. If you route the wrong logs to the wrong tier before an incident reveals what you actually needed, you find out at the worst possible moment. Getting TCO Optimizer configuration right is not hard, but it takes time and judgment that New Relic's flat ingest model eliminates entirely.
The query language tradeoff is worth being direct about. DataPrime is genuinely powerful for cross-telemetry joins and complex aggregations, and Coralogix also supports PromQL and Lucene. But DataPrime is proprietary. Every dashboard your team builds, every saved query, every alert condition written in DataPrime is tied to the Coralogix platform. That is different from data format lock-in: your data is in your bucket in open formats, but your operational knowledge and tooling are written in a language only Coralogix reads. New Relic's NRQL is also proprietary, so neither platform is lock-in free, but DataPrime's piped syntax is a larger learning investment than NRQL for teams coming from SQL or PromQL backgrounds.
| Architectural factor | New Relic | Coralogix |
|---|---|---|
| Data storage | New Relic hosted (NRDB) | Your S3/GCS/Azure bucket |
| Processing model | Ingest, index, query | In-stream analysis, then tiered storage |
| Query language | NRQL (unified across all signals) | DataPrime + PromQL + Lucene |
| Alert latency | Standard | Zero (in-stream, before indexing) |
| Data ownership | New Relic | You |
| OTel support | Yes (native, no surcharge) | Yes (first-class, no surcharge) |
| Cost pressure grows with | Engineer headcount needing full access | Data volume (no per-user or per-host fees) |
| Retention model | Standard policies | Infinite (your bucket) |
Both platforms stop at alerting. Neither includes built-in on-call scheduling with phone and SMS delivery or customer-facing status pages. Better Stack brings all of that together alongside logs, metrics, and traces, so you can go from alert to post-mortem without switching tools.
From heartbeat monitoring to incident timelines to status pages, one platform for the whole reliability lifecycle. Start free.
Both platforms are OTel-native with no surcharge, which is an important shared foundation before comparing anything else. Neither penalizes you for using OpenTelemetry instrumentation.
New Relic offers language-specific APM agents alongside eBPF-based eAPM for zero-code Kubernetes instrumentation. Thread-level CPU profiling shows exactly which function is consuming cycles in production. Infinite Tracing retains the most significant traces out of 100% of collected data rather than sampling blindly. APM 360 connects frontend sessions to backend traces within the same interface, and the correlation is seamless because RUM and APM share the same NRDB backend.
Coralogix APM is built entirely on OpenTelemetry. The service catalog gives you a live health status view across all services with request volume, error rates, P95 latency, and filtering by environment or team. Continuous profiling at the code level is included: which functions consume CPU and where memory allocations occur in production, without performance overhead and without an additional charge. Serverless APM tracks Lambda invocations. SLO management is built in with error budget tracking and burn rate alerting. Database monitoring surfaces slow queries and links them directly to the originating traces. Everything is included in the units-based pricing rather than stacking as a separate per-host charge.
The span metric cap of 300,000 unique combinations is worth noting for high-cardinality APM workloads. It requires monitoring but is a configuration constraint rather than a billing penalty.
| APM / tracing | New Relic | Coralogix |
|---|---|---|
| Instrumentation | APM agents, eBPF (eAPM), or OTel | OTel SDKs + optional eBPF |
| OTel support | Yes (native, no surcharge) | Yes (first-class, no surcharge) |
| Code-level profiling | Yes (thread profiling via APM agents) | Yes (included) |
| Serverless APM | Yes | Yes |
| SLO management | Yes | Yes (built-in with error budgets) |
| Database monitoring | Yes | Yes (built-in, trace-linked) |
| Frontend-to-backend correlation | Seamless (shared NRDB backend) | Correlated via RUM + APM (cross-screen) |
| APM pricing | Included in ingest + user license | Included in units (no separate per-host charge) |
Both New Relic and Coralogix include APM in pricing models that grow with either user headcount or data volume. Better Stack's tracing is priced purely by data volume with no span indexing fees and no cardinality penalties, and the AI SRE activates automatically during incidents to investigate root cause before you have to ask.
Full-fidelity distributed tracing from every service, priced by volume with no surprises. Explore Better Stack tracing.
Both platforms make all ingested logs searchable, which puts them ahead of Datadog's indexed-versus-archived model. The differences are in what that searchability costs, where the data lives, and how long you can keep it.
New Relic charges $0.40/GB past the 100GB/month free tier, and every ingested log is searchable through NRQL. No indexing decisions, no tier routing, no archive to configure. AI alert summarization generates a hypothesis when a log-triggered alert fires. Seven-year retention without rehydration is available for compliance use cases. Cross-signal correlation works naturally because logs, traces, and metrics share the same backend.
Coralogix's Streama engine processes logs as they arrive, which is why alerts fire without indexing delay. Logs then route to your configured storage tier. Frequent Search data is $0.42/GB for fast queries. Logs in your S3 bucket are queryable via DataPrime directly from the Coralogix interface with no rehydration fee. DataPrime handles deeply nested JSON, arrays, and mixed types without predefined schemas, which saves setup time for messy or evolving log formats.
The data in your bucket is yours at S3 prices, with infinite retention. For compliance-driven organizations that need years of searchable log history, this changes the economics significantly versus paying to rehydrate archived logs every time you need them. For a team ingesting 1TB of logs per month and keeping them for two years, that difference is meaningful.
The routing tradeoff applies here too: logs that only passed through the Monitoring pipeline cannot be queried ad-hoc after the fact. And every query your team writes in DataPrime is tied to the Coralogix platform in a way that NRQL queries are tied to New Relic. Neither platform offers portable query syntax, but DataPrime's learning curve is steeper for teams coming from SQL backgrounds.
| Log management | New Relic | Coralogix |
|---|---|---|
| Ingest rate | $0.40/GB (100GB/month free) | $0.42/GB (Frequent Search), less for lower tiers |
| All logs searchable | Yes | Depends on tier routing |
| Infinite retention | No (max 7 years) | Yes (your S3 bucket, no rehydration fee) |
| Data ownership | New Relic | You |
| Alert latency | Standard | Zero (in-stream before indexing) |
| Schema handling | Structured logs | Dynamic (no pre-definition needed) |
| Query language | NRQL | DataPrime + Lucene |
Both New Relic and Coralogix make all ingested logs searchable, but the cost models and where data lives differ significantly. Better Stack stores logs in a unified warehouse with SQL querying and no per-event charges. You pay for what you send, and all of it is searchable.
Unified log management with SQL search, live tail, and no indexing surprises. See how it works.
Neither platform charges cardinality penalties beyond their respective billing models, which removes one common source of bill shock. The meaningful difference is in how the pricing scales with fleet size and whether the data sits in their infrastructure or yours.
New Relic covers Linux, Windows, and macOS with no-agent cloud integrations for AWS, Azure, and GCP. Kubernetes monitoring is solid. The access restriction applies here as it does everywhere in New Relic: viewing infrastructure data during an incident requires a full platform seat at $349/month. For large teams with rotating on-call, engineers without that seat provisioned cannot access the data when it matters.
Coralogix's Infrastructure Explorer provides fleet management across accounts and regions, with relationship mapping that shows pod-to-node and service-to-volume connections. Historical metadata snapshots let you track how infrastructure evolves over time. Unlimited hosts, no per-host fees, no high-water mark billing. Metrics cost $0.05/GB where 1GB equals 1,000 time series. The 300,000 span metric cap for APM workloads requires monitoring but carries no billing penalty.
Every engineer at your organization can view infrastructure data without a seat fee. That is a structural difference from New Relic's model that matters most for larger organizations.
| Infrastructure monitoring | New Relic | Coralogix |
|---|---|---|
| Pricing model | Included in ingest + user license | Per GB/units (unlimited hosts) |
| Access to view metrics | Full platform user required ($349/month) | All users (no seat model) |
| Per-host fees | No (but user seats gate access) | No |
| Cross-account fleet management | Limited | Yes |
| Kubernetes depth | Yes | Yes (relationship mapping, historical snapshots) |
| Data in your account | No | Yes (your S3 bucket) |
Both platforms charge for infrastructure telemetry in ways tied to either user seats or data volume. Better Stack takes a different approach: no per-host fees, no cardinality penalties, and infra metrics that live alongside uptime monitors, on-call schedules, and incident timelines.
Infrastructure monitoring connected to alerting, on-call, and incident management, all in one place. Get started free.
New Relic is a two-time consecutive Gartner Magic Quadrant Leader for DEM and has a more mature product suite overall. Coralogix's RUM adds network-level visibility and deployment version tracking that New Relic doesn't match natively.
New Relic covers Browser RUM, Mobile RUM across iOS, Android, React Native, and Flutter, Session Replay, Synthetic Monitoring, Product Analytics, and Experiments. The frontend-to-backend correlation is seamless because RUM and APM share the same NRDB backend: clicking from a slow user session to the backend trace that caused it requires no configuration.
Coralogix RUM captures browser and mobile sessions, Core Web Vitals, JavaScript errors, and session replay. Network monitoring shows every request from user device to backend, identifying whether latency is client-side, network-related, or server-side before you open a trace. Version tracking compares performance and error rates between deployment versions in real time, so a frontend regression shows up in RUM data before user complaints accumulate. Digital Experience Analytics combining behavioral data with RUM and APM signals reached GA in early 2026.
The investigation experience differs architecturally: New Relic's seamless one-click pivot from a slow session to the backend trace happens because they share a backend. Coralogix's correlation requires navigating between product screens.
| Digital experience | New Relic | Coralogix |
|---|---|---|
| Browser RUM | Yes (Gartner DEM Leader, 2x consecutive) | Yes |
| Mobile RUM | Yes (iOS, Android, React Native, Flutter) | Yes (iOS, Android) |
| Session replay | Yes | Yes |
| Synthetic monitoring | Yes | Yes |
| Network monitoring | No | Yes |
| Version tracking | Basic | Yes (deployment-aware comparison) |
| Frontend-to-backend correlation | Seamless (shared backend) | Cross-screen correlation (configured) |
Both platforms have made serious AI investments, and both have MCP servers available. The approaches differ in a way that reflects their broader architectures.
New Relic's SRE Agent, launched February 2026, fires automatically when an alert triggers and begins investigating without anyone prompting it. By the time you open your laptop it has typically identified a likely root cause from APM traces, logs, and recent deployments. The Agentic Platform around it adds a no-code agent builder, orchestration, and MCP support. Applied Intelligence, which groups related alerts and generates summaries, is GA today. The honest caveat: the SRE Agent and most of the Agentic Platform remain in Preview.
Olly is a multi-agent autonomous investigator that decides which data sources are relevant, executes queries across logs, metrics, and traces, and shows every step of its reasoning as it works. You initiate the investigation in natural language and Olly operates autonomously from there. Connect a GitHub repository and Olly has code context for its analysis.
The Coralogix MCP server is GA for all customers and goes further than New Relic's Preview status: it generates Terraform HCL and Kubernetes YAML from alert definitions, turning observability configuration into infrastructure as code. A programmable agentic CLI supports fully headless observability workflows for teams building automated pipelines.
The AI Center is where Coralogix has no direct equivalent from New Relic. If you run LLM agents in production, AI Discovery finds all AI agents across your organization. The Evaluation Engine scores every prompt and response for hallucinations, PII leaks, relevance, and toxicity in real time. AI Guardrails intercept or block unsafe outputs before they reach users. Cost tracking monitors spend per message, session, and agent.
The trigger difference is real and matters at 3am: New Relic's SRE Agent fires proactively the moment an alert triggers, before anyone prompts it. Olly is initiated by you and then operates autonomously. For teams that want AI investigation to start without human intervention, New Relic's approach has an edge, even in Preview.
| AI capability | New Relic | Coralogix |
|---|---|---|
| Autonomous investigation | Yes (SRE Agent, fires on alert, Preview) | Yes (Olly, initiated then autonomous) |
| Multi-agent reasoning | Limited | Yes (shows full reasoning chain) |
| MCP server | Yes (Preview) | Yes (GA, all customers) |
| IaC generation from alerts | No | Yes (Terraform + Kubernetes YAML) |
| Agentic CLI | No | Yes |
| AI agent / LLM monitoring | Yes (AI Observability, June 2026) | Yes (AI Center, full suite) |
| AI guardrails | No | Yes |
| AI Discovery | No | Yes |
| Code-aware investigation | Via MCP | Yes (GitHub integration) |
| No-code AI agent builder | Yes (Agentic Platform, Preview) | No |
| GA status of flagship AI | Applied Intelligence GA; SRE Agent Preview | Olly GA; AI Center GA |
Both platforms have autonomous AI investigation, and both have MCP servers. What neither one includes is a direct path from a root cause hypothesis to an on-call notification and a customer-facing status page update. Better Stack's AI SRE connects to the full incident lifecycle so the investigation and the response happen in the same place.
Autonomous root cause investigation connected to on-call, incidents, and status pages. See the AI SRE.
This section settles the comparison for organizations where security monitoring is part of the procurement conversation.
New Relic's security posture is compliance-based: SOC 2, HIPAA on Data Plus, FedRAMP Moderate expanding to High. Security RX, previewed in 2026, correlates vulnerability findings with engineering context. It is a correlation feature, not a threat detection product. No SIEM, no SOAR, no MDR.
Coralogix runs a full SIEM on its Streama engine with 2,500+ out-of-the-box detection rules, 400+ security integrations, and ML-based threat detection that fires before data reaches any storage tier. Managed Detection and Response is available through Snowbit.io for organizations without a dedicated SOC team. The compliance portfolio covers SOC 2, PCI DSS, ISO 27001, GDPR, HIPAA, and FCA. For financial services, healthcare, or any industry where PCI DSS or FCA authorization is a procurement gate, Coralogix covers those requirements and New Relic does not.
The infinite retention in your own bucket is also security-relevant: compliance frameworks that mandate multi-year log retention become significantly cheaper when the data lives in S3 at $0.003 per effective GB rather than in a vendor's hot storage.
| Security | New Relic | Coralogix |
|---|---|---|
| Cloud SIEM | Limited (Security RX in preview) | Yes (2,500+ rules, in-stream) |
| MDR | No | Yes (via Snowbit.io) |
| SOC 2 Type II | Yes | Yes |
| HIPAA | Yes (Data Plus) | Yes |
| PCI DSS | No | Yes |
| ISO 27001 | No | Yes |
| FCA | No | Yes |
| FedRAMP | Yes (Moderate, expanding to High) | Yes (GovCloud region) |
Both platforms cover alerting and stop before fully owning the incident response lifecycle. Neither has built-in on-call scheduling or status pages as a default product.
New Relic's Applied Intelligence groups related alerts and generates AI-driven summaries. SLO tracking monitors error budgets. On-call scheduling comes through New Relic On-Call or external integrations. Phone and SMS delivery requires external tools either way.
Coralogix's alerting fires from the Streama engine with zero indexing delay. ML-based anomaly detection adapts to normal behavior without manual threshold tuning. Flow alerts chain conditions across logs, metrics, traces, and security events in a visual drag-and-drop builder. Cases aggregate related alerts and route to Slack, PagerDuty, ServiceNow, or webhooks with a native bidirectional ServiceNow integration that New Relic doesn't match natively.
What's not included on either platform: status pages. And for on-call, New Relic's native On-Call product gives it a slight edge over Coralogix's reliance on PagerDuty or OpsGenie for the paging layer.
| Incident management | New Relic | Coralogix |
|---|---|---|
| Alert intelligence | Applied Intelligence (AI grouping, GA) | ML-based (adaptive, zero-latency) |
| On-call scheduling | Via New Relic On-Call or external | Not included (external tools) |
| Phone/SMS delivery | Via New Relic On-Call or external | Via PagerDuty/OpsGenie |
| Flow / composite alerts | Basic | Yes (drag-and-drop, cross-signal) |
| ServiceNow integration | Via integration | Yes (native, bidirectional) |
| Status pages | No | No |
The pricing gap between these two platforms is driven primarily by one variable: how many engineers at your organization need full investigative access.
New Relic charges $349/month per full platform user on Pro. A team of 20 engineers all needing access to APM and infrastructure data during incidents pays $6,980/month in seat fees before a byte of telemetry applies. Beyond the 100GB/month free tier, ingest costs $0.40/GB. The seat model means New Relic's cost scales directly with how many engineers need access, independent of how much data you're generating.
Coralogix charges by data volume with no user fees. Logs at $0.42/GB for Frequent Search (less for lower tiers), traces at $0.16/GB, metrics at $0.05/GB. Unlimited users, unlimited hosts, all features included. You also pay S3 storage costs, but the 5x compression means effective S3 cost is around $0.003 per GB for logs. Support is included at every tier with a 17-second median response time, not a premium add-on.
Scenario: 20 engineers needing full access, 500GB/month logs, 200GB/month traces
| Cost component | New Relic (Pro, annual) | Coralogix |
|---|---|---|
| Full platform user licenses | $6,980/month (20 x $349) | $0 (no seat model) |
| Log ingest (500GB, minus free) | ~$160/month | ~$210/month (Frequent Search) |
| Trace ingest (200GB) | Included in ingest | ~$32/month |
| Metrics | Included in ingest | ~$25/month (500M datapoints) |
| 24/7 human support | Enterprise add-on | Included |
| On-call (5 responders, PagerDuty) | ~$245-415/month | ~$245-415/month |
| Estimated monthly total | ~$7,385-7,555/month | ~$512-682/month |
The gap is driven almost entirely by seat count. Flip to a two-engineer team monitoring the same data volume and New Relic's seat cost drops to $698/month while Coralogix stays roughly the same. The per-user model punishes headcount growth in a way the units model does not.
The New Relic free tier changes the small-team calculus completely: a team of two engineers generating under 100GB/month runs New Relic at zero cost indefinitely, which Coralogix's 14-day trial doesn't match.
| Pricing factor | New Relic | Coralogix |
|---|---|---|
| Free tier | Yes (100GB + 1 full user, forever) | 14-day trial |
| Per-user fee | Yes ($349/month Pro annual) | No |
| Log ingest rate | $0.40/GB (100GB/month free) | $0.42/GB (Frequent Search) |
| Unlimited users | No | Yes |
| Unlimited hosts | No | Yes |
| All features included | No (add-on model) | Yes |
| 24/7 human support included | Enterprise tier | Yes |
| OTel surcharges | No | No |
| Data in your own account | No | Yes (S3/GCS/Azure) |
Both New Relic and Coralogix require separate tools for on-call scheduling and status pages. Better Stack consolidates logs, metrics, traces, on-call scheduling, incident management, and status pages into one platform with one bill.
Fewer vendors, fewer context switches, and a single place for the full reliability workflow. Talk to us.
New Relic gaps worth knowing:
Coralogix gaps worth knowing:
After comparing the two platforms, the biggest difference isn't the feature set, it's the operating model each one is built around.
New Relic is designed to make observability as simple as possible. APM, logs, infrastructure monitoring, and digital experience all live in one platform, making it easy to move from an alert to the underlying root cause. For startups and smaller engineering teams, the 100 GB/month free tier is one of the most generous in the industry, and the overall experience requires very little operational overhead. If only a handful of engineers need full investigative access, the pricing remains surprisingly competitive.
As organizations grow, though, the economics begin to change. Coralogix doesn't charge per user, so every engineer can access the platform without increasing licensing costs. For larger engineering organizations, that difference can have a much bigger impact on the total bill than telemetry costs alone. At the same time, Coralogix offers capabilities that appeal to enterprises with stricter operational requirements, including Bring Your Own S3 for data sovereignty, broader compliance certifications such as PCI DSS and ISO 27001, and a dedicated AI Center for monitoring and evaluating production AI systems.
That doesn't automatically make Coralogix the better choice. If your priority is developer productivity and a polished investigation experience, New Relic remains one of the strongest platforms available. If your priorities are controlling costs across large engineering teams, meeting data residency requirements, or building AI-powered applications, Coralogix starts to pull ahead.
Ultimately, the fastest way to narrow the decision is to look at your organization rather than the feature list. Consider how many engineers need full platform access, whether compliance or data sovereignty are mandatory, and how important AI observability is to your roadmap. Those factors will usually determine the better fit long before you've compared every individual feature.
Neither New Relic nor Coralogix includes uptime monitoring, on-call scheduling with phone and SMS, incident management, and customer-facing status pages as a unified product. Better Stack brings all of that together with logs, metrics, and traces, with usage-based pricing and no per-seat fees.
The full reliability lifecycle in one place. Start free, no credit card required. Try Better Stack.
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