Coralogix vs New Relic: Comparison Guide (2026)

Coralogix and New Relic both cover the full observability surface, but they charge for it and store it in different ways. One prices purely on data ingested and writes telemetry to a bucket you own, while the other combines ingest pricing with per-user licensing and retains data in its own backend.

This guide covers how the two platforms compare on core features, pricing structure, AI observability, archiving and retention, security coverage, and support, then shows when each one is the stronger choice.

What Is Coralogix?

Coralogix is a full-stack observability platform whose architecture targets the two line items that grow fastest on a New Relic bill: user licensing and vendor-side retention.

Its Streama© engine parses, enriches, and alerts on logs, metrics, traces, and security data before anything reaches storage, and the destination is an Amazon Simple Storage Service (S3) bucket you own, written in open Parquet format. Pricing is per gigabyte ingested; user count, host count, and query volume never appear on the invoice.

What Is New Relic?

New Relic is a full-stack observability platform that runs on a usage-based model combining per-gigabyte ingest with per-user fees. It treats OpenTelemetry (OTel) as a first-class ingestion path alongside its own agents, with application performance monitoring (APM) as its historical core strength. As of June 2026, a free tier covers 100 gigabytes of ingest per month with core platform features included.

Coralogix vs. New Relic: What Are the Key Differences?

For high-volume, cloud-native teams, the most important differences involve data volume, user count, and compliance requirements. Each dimension reflects how the platform is built, not a feature checkbox.

DimensionCoralogixNew Relic
Pricing modelIngestion-based, with no per-host, per-query, or per-feature chargesPer-gigabyte ingest ($0.40/GB, or $0.60/GB with Data Plus, beyond 100 GB/month free) plus per-user fees
Starting priceLogs $0.42/GB, traces $0.16/GB, metrics $0.05/GB ingestedFree up to 100 GB/month, then $0.40/GB plus user fees
Per-user feesNone; unlimited users includedBasic users free; Core $49/user/month; Full Platform priced by edition
Data retentionIndefinite; data stored in customer-owned S3Defaults vary by data type (logs 30 days); extensions via Data Plus and live archives
Archive and remote queryFree queries on all archived data; no rehydrationLive archives extend log storage up to seven years
OpenTelemetry supportOpenTelemetry-native architecture; no proprietary agentsOpenTelemetry Protocol (OTLP) accepted as a first-class path alongside proprietary agents
AI observabilityAI Center with built-in Evaluation Engine, AI Guardrails, and session tracingAI monitoring extends APM agents to track tokens, latency, errors, and cost per model
Security Information and Event Management (SIEM)Cloud SIEM includedSecurity capabilities center on vulnerability management
Support24/7 support included for all customers; 17-second median responseVaries by edition; ticketed support on Standard, faster critical-response commitments on Pro and Enterprise

Coralogix prices and stores data on your side of the account boundary, while New Relic prices access to its platform. Each section below shows what the difference costs in practice.

Core Features: Logs, Metrics, Traces, and Alerting

Coralogix and New Relic support core observability workflows across logs, metrics, distributed traces, APM, real user monitoring (RUM), and infrastructure monitoring. Feature parity at this level means the comparison turns on how each platform handles the work around the signals: correlating them during an investigation and alerting them without noise. 

Coralogix covers that baseline with an OpenTelemetry-native architecture and no proprietary agents, including Kubernetes observability and a service catalog with service level objective (SLO) tracking.

Data Correlation and Usability

Investigations stall when each telemetry type lives behind its own query tool, because every context switch resets an engineer’s train of thought mid-incident. Coralogix supports querying logs, metrics, and traces across its platform, using the piped DataPrime query language, with Lucene available for hybrid queries and PromQL supported separately for metrics dashboards. 

New Relic Query Language (NRQL) covers similar cross-telemetry ground, so the separation shows up when the query language itself becomes the obstacle. 

Olly, Coralogix’s autonomous observability agent, takes a plain-English question, runs the investigation itself, and returns the root cause with the affected code path, no DataPrime required.

Alerting Across Logs, Metrics, Traces, and Security Events

Multi-signal incidents produce alert noise when each signal fires its own notification: a latency spike, an error-rate alarm, and a security event arrive as three pages instead of one diagnosis. Flow Alerts treat the sequence itself as the alert condition across logs, metrics, traces, and security data: condition A followed by condition B inside a set window fires one priority-one (P1) notification, and an incomplete pattern fires nothing.

AI Capabilities: Coralogix vs. New Relic

Both vendors instrument large language model (LLM) workloads, but they answer different questions. New Relic tracks the operational metrics of artificial intelligence (AI) calls, while Coralogix also evaluates the outputs those calls produce, with built-in guardrail enforcement on top. That difference in scope is where the two platforms separate.

How Coralogix AI Center Evaluates LLM Outputs

A passing health check says nothing about whether the model hallucinated, drifted off topic, or leaked personally identifiable information (PII) in a response. AI Center, launched following the December 2024 acquisition of Aporia, answers that question directly: its Evaluation Engine runs evaluators, small evaluator models with optional custom rules, that score every prompt and response for faithfulness, relevance, toxicity, and PII leakage. 

Past detection, AI Guardrails block, rewrite, or flag unsafe prompts and responses inline before they reach the user. Instrumentation runs through LLM TraceKit, an OpenTelemetry-based software development kit (SDK), while code agent observability covers tools like Claude Code, Codex CLI, and Gemini CLI through their built-in OpenTelemetry Protocol telemetry.

New Relic AI Monitoring on Existing APM Agents

New Relic AI monitoring extends the APM instrumentation teams already run. Running on an existing agent, it traces agentic workflows, pinpoints latency per agent and tool, identifies which step in a chain failed, and tracks token consumption per model as a cost driver. 

Applied Intelligence handles anomaly detection and incident correlation across the wider platform, and New Relic AI answers natural-language queries. The difference in this comparison sits at output quality: New Relic reports what an LLM call cost and how long it took, while Coralogix also scores what the model said and can act on it.

Security: SIEM and CSPM on the Same Pipeline

Running observability and security monitoring as two separate vendors fragments the data layer: the same logs get shipped twice, paid for twice, and queried in two different languages. Security packaging decides how much of that duplication a platform removes.

CapabilityWhat it coversCoralogixNew Relic
SIEMDetecting threats across your logs and security telemetryCloud SIEM included, with out-of-the-box threat detections on the same in-stream pipeline as the rest of the platformNot offered; teams that need SIEM coverage pair New Relic with a separate security vendor
CSPMFinding risky configurations in cloud infrastructureIncluded across Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP)Not offered; as of June 2026, security capabilities center on vulnerability management

Teams that want SOC coverage without staffing one get a managed option on the Coralogix side: Snowbit, Coralogix’s managed security arm, provides managed detection and response inside your Coralogix tenant, working from the same telemetry the engineering team already ships.

Pricing: Ingestion-Based vs. Ingest Plus Per-User Fees

Coralogix charges only for data volume, while New Relic adds user licensing on top of ingest. That difference compounds as teams grow and shapes how predictable your observability budget will be year over year. For buyers focused on controlling spend, the pricing model carries as much weight as feature depth.

Ingest-Only Billing on Coralogix

Every charge on a Coralogix invoice maps to ingested data: [unit-based ingestion pricing] converts units to gigabytes at rates set per pipeline, and unlimited users and hosts come with every plan. 

Per-user, per-host, per-query, and per-feature charges do not exist in the model. The TCO (total cost of ownership) Optimizer assigns each data stream to the Frequent Search, Monitoring, Compliance, or Blocked pipeline based on how the data is used, so a debug stream bound for the archive never bills at the rate of data your team searches daily.

New Relic’s Ingest and Per-User Pricing

New Relic’s per-user pricing splits across Basic (free), Core ($49 per user per month), and Full Platform tiers, with Full Platform rates set by edition. Ingest beyond the free 100 gigabytes per month bills at $0.40 per gigabyte on the original data option, or $0.60 per gigabyte with Data Plus. For teams with dozens of full-platform users, user fees become a major part of total platform cost.

What a Typical Workload Costs on Each Platform

For a team ingesting a high volume of logs per day with multiple full-platform users, the annual cost profile differs because Coralogix doesn’t add user-based charges on top of ingest. Twenty full-platform users on New Relic’s Pro edition add $6,980 per month in user fees before any data charges, while the same twenty users cost $0 on Coralogix. Archive storage also follows a different pattern because Coralogix stores data in the customer’s own S3 bucket instead of a vendor-owned store.

Archiving and Archive Query

Long-term retention usually forces a choice between vendor storage fees and losing searchability. Coralogix writes all telemetry data to your own cloud object storage, including Amazon S3 or Google Cloud Storage, in open Parquet format after in-stream processing. It stays accessible indefinitely at standard object storage costs, with no vendor-side retention limits or rehydration steps. Streama processes the data in flight before it lands, so the archive holds full-fidelity telemetry in a format any Parquet reader can open, with or without Coralogix in the picture.

Data Retention Limits Compared

Default retention on New Relic varies by data type, with logs retained 30 days by default and Data Plus adding up to 90 days of retention for most data types. Live archives extend log storage up to seven years for teams with compliance requirements. Coralogix stores data in your S3 bucket with no retention limit. Logs compress when written to S3, which reduces effective storage cost, and your S3 lifecycle policies control retention.

Remote Queries on Unindexed Data

Coralogix’s remote query capability lets your team search archived data directly from the platform without reindexing or rehydration. Archived queries run from Explore using the same text, Lucene, or DataPrime query syntax as live searches, and archived data stays searchable alongside live data streams.

Your data remains in customer-owned cloud object storage, and there’s no additional charge for archive queries. For compliance logs routed to the Compliance pipeline, ongoing costs after the initial ingest charge drop to the S3 storage fee alone, which supports long-term retention for forensic and audit requirements.

Support and Response Times Compared

Every Coralogix account includes 24/7 support from software engineers at no extra cost, with a 17-second median response time and a one-hour median resolution time across all support requests. Coralogix has no premium support tiers, so the team paging at 3 a.m. gets the same access as the largest account.

 New Relic’s support varies by edition, with ticketed support on Standard and faster critical-response commitments on the Pro and Enterprise editions.

Coralogix vs. New Relic: Which One to Choose

The decision comes down to which requirements are driving your evaluation.

Where New Relic Still Fits

If your evaluation turns on mature agent-based APM with deep auto-instrumentation under a single software as a service (SaaS) contract, New Relic meets that requirement today. The free tier and broad language coverage suit smaller teams standardized on proprietary agents. The user-based cost component stays manageable only while full-platform seat counts stay low.

The Coralogix Case: Volume Pricing, Owned Storage, Security Included

Choose Coralogix when your team prioritizes predictable costs at high data volumes, needs to query archived data without rehydration fees, or wants to consolidate observability and security, including SIEM and CSPM, in a single platform. The customer-owned storage model in open Parquet format also reduces long-term vendor lock-in risk.

No User Fees and Data You Own: The Coralogix Approach

The comparison comes down to what you pay for and where your data lives. Coralogix bills only on ingested volume, processes telemetry through Streama before it lands in an S3 bucket you own, and keeps every archived byte searchable without rehydration, while New Relic prices platform access through user licenses on top of ingest and retains data in its own backend. Every difference this guide covered, from per-user fees to retention ceilings to support tiers, follows from that structural choice.

If you want to see what removing per-user fees does to your observability bill, try Coralogix for free on a 14-day trial against your own production traffic. The trial includes full feature access for unlimited users with no credit card required.

Frequently Asked Questions About Coralogix vs. New Relic

Is Coralogix cheaper than New Relic?

For teams with dozens of engineers accessing the platform, Coralogix is often more cost-effective because it prices by data usage with no per-user fees. Full platform user licenses can become the dominant cost driver as your team grows on user-priced products. At high data volumes with few users, the cost comparison depends on how you route data through Coralogix’s TCO Optimizer pipelines.

Does New Relic charge per user?

Yes. As of June 2026, New Relic prices users in three types: Basic (free), Core ($49 per user per month), and Full Platform, which is priced by edition and carries the highest rates. User fees apply on top of data ingest charges.

Can Coralogix replace New Relic for APM?

Coralogix covers distributed tracing, service catalog with SLO tracking, and more, all built on OpenTelemetry. Teams running OpenTelemetry-instrumented services can migrate without changing their instrumentation. Organizations that rely heavily on agent-based auto-discovery should evaluate the OpenTelemetry-native path during a proof of concept.

How long does New Relic retain data by default?

Default retention varies by data type, with logs retained 30 days by default and Data Plus adding up to 90 days for most data types. Coralogix can retain archived data indefinitely in your own S3 bucket, with retention controlled by your S3 lifecycle policies and storage charged through your object storage.

Does Coralogix support OpenTelemetry natively?

Coralogix runs on an OTel-native architecture with no proprietary agents required. The platform accepts OTLP for logs, metrics, and traces.

Elastic Cloud vs Coralogix: Support, Pricing, Features & More

With various open source platforms on the market, engineers have to make smart and cost-effective choices for their teams in order to scale. Elastic Cloud, and its flagship product Elasticsearch, are one of several options available, but how do they compare to a full-stack observability platform like Coralogix?

This article will provide a complete breakdown between Coralogix and Elastic Cloud, from essential industry features, like logs, metrics and traces, to pricing models and support services. When it comes to ensuring observability for modern systems, you need to know which platform suits your data needs.  

SaaS vs PaaS

Elastic Cloud is a Platform-as-a-Service (PaaS) solution that provides customers a cloud platform which they oversee themselves. 

Coralogix, on the other hand, is a fully managed SaaS solution that allows DevOp teams all the tools they need for better data management and software development. Coralogix also runs architecture in a more efficient manner, driving internal cost savings down and resulting in a lower price point. The time to value with Coralogix is much less overall.

To learn more, read our full-stack observability guide

Logs, metrics, traces and alerting

Coralogix and Elastic Cloud support ingesting logs, metrics, and traces. While these three data types are common across most SaaS observability platforms, Coralogix uses a unique data streaming analytics pipeline called Streama to analyze data in real-time and provide long-term trend analysis without indexing. 

Data correlation and usability 

While both Coralogix and Elastic Cloud ingest logs, metrics, and traces from many different sources, Coralogix excels at bringing all this data together in a single, cohesive journey that allows users to sail between data types seamlessly. 

Coralogix Flow Alerts

Coralogix alerting has unique features like Coralogix Flow Alerts, which allow users to orchestrate their logs, metrics, traces, and security data into a single alert that tracks multiple events over time. Using Flow Alerts, customers can track the change in their system.

Machine Learning capabilities 

Both Coralogix and Elastic Cloud utilize machine learning for alarms, and for automatic correlation between events. For example, if an alarm triggers because of a flow anomaly, the Coralogix platform will automatically show other anomalies that occurred in the same timeframe. 

Coralogix Loggregation 

Coralogix Loggregation is another unique feature in the Coralogix toolkit. Loggregation will automatically cluster similar logs together, to form a “template”. This functionality allows users to understand which logs are noisiest and accounting for the most errors and more.

Essentially,  the Loggeration guides customers through troubleshooting.  While Elastic Cloud offers some log clustering functionality (where all data has to be indexed first), Coralogix lets you analyze your data free from indexing.

Archiving and Archive Query

There is no bigger difference in this comparison of Coralogix vs Elastic Cloud than in archiving. For Elastic customers, archiving in a remote location, such as S3, is limited to enterprise customers. As a result, most users ingest a lot of data, and subsequently spend a larger amount of money. 

All Coralogix customers, regardless of ingestion amounts, can remotely archive their data into S3. Since Coralogix does not tier its solution, customers who ingest their data into the platform gain immediate access to every single feature.

Furthermore, with the Coralogix platform, you can perform remote queries in seconds on archived, unindexed data. Meanwhile, with Elastic, for data to be accessible, it needs to be indexed, resulting in huge implication costs. Finally, Coralogix enables infinite retention with unlimited access, with no cost per query, through its archive query capability. 

Cost optimizations

  • Coralogix: Coralogix users start by indexing the majority of their data, but over time, they tend to transfer more data to the archive. This is because it can be queried in seconds, at no additional cost.

    This functionality means customers can store the majority of their data in S3, and pay at most $0.023 / GB for storage. Coupled with the Compliance ingest costs in Coralogix, $0.17 / GB, the GB cost for ingest and storage is $0.193 / GB for the first month and $0.023/GB every month after that. Customers can cut costs by between 40% and 70%.

    Compared to Elastic Cloud, Coralogix cost optimization rests entirely with the customer. Cost optimization with an Elastic deployment may require in-house teams that negate much of the cost optimization possible. 
  • Elastic Cloud: For Elastic customers, instance types and computation power are just a few features that matter. Most are trading off cost for performance.

    Coralogix doesn’t charge by cloud resources, but by ingestion volume. More than that, Coralogix allows customers to assign use cases to traces and logs, which drive instant cost savings via the TCO Optimizer. These decisions are flexible and reversible, and entirely risk free. 

Pricing model

The Coralogix pricing model is based entirely on GB ingested with no solution tiering or extra costs for features, making it easy for new customers to predict their costs. In comparison, the Elastic offering is based on compute capacity.  Translating from data volumes to computing is difficult because the correct cluster size would be impacted by a number of other complex variables, such as data tiering, query volumes, high availability and much more. 

Customer support 

While Elastic Cloud offers 24/7 support to its premium customers,  other customers receive lesser coverage. Moreover, Elastic only offers rapid support, or roughly a 30-minute “target response time” for enterprise customers. This is not an SLA, so their documentation does not describe it as such.

Coralogix offers all customers a median 30-second response time, an SLA measured in minutes, and 24/7 support. Coralogix also offers a median resolution time of 43 minutes. Even with the most complete support that Elastic offers, they are acknowledging issues only 10 minutes faster than Coralogix is resolving them. 

Out-of-the-box dashboards

Elastic Cloud lacks a built-in dashboard for well-known technology, such as Kubernetes and Serverless. Elastic customers have to manually create these dashboards from scratch, often needing to be reworked since these dashboards are regularly shared in open source communities.

Coralogix has built dashboards for Kubernetes Monitoring, Serverless monitoring and more, while also supporting open source dashboarding solutions like Grafana. Coralogix also provides a custom dashboarding solution for Coralogix users. The platform’s reuse of open source dashboards, like JSON definitions, and the time-to-value of premade dashboards makes its offerings the best of both worlds. 

Coralogix Provides Highly Scalable Traces For Your Success

While more observability vendors are providing tracing ingestion and visualization as part of their core service, only Coralogix, the leading in-stream observability platform, supports a set of data optimization features that drive down cost, maximize insights and create a scalable tracing strategy unlike others. 

Cost, performance and usability

Traces are designed to track details about every single interaction between all services in a system. Even at a small scale, there is an explosion in data volumes that directly impacts three crucial features of any observability solution:

  • Performance: Huge data volumes slow down query performance and negatively impact the developer experience. Performance is most acutely felt in the middle of an outage. 
  • Cost: Processing huge volumes of data requires a lot of computing power, which translates into significant cost. 
  • Usability: Although a system might be performing well, holding huge volumes of data can make it difficult to focus on the necessary details. 

As data volumes outpace budgets, cost, performance and usability have become widespread issues within the industry. And most vendors are not providing cost optimization tools because their business model is predicated on wasteful data usage. At Coralogix, thanks to our Streama© architecture we can actively encourage our users to optimize cost at every opportunity.

TCO for Traces: How to retain tracing data

With Coralogix, traces can now be routed and assigned to three different use cases to enable fine-grained control over how that data is processed, and drive significant ingestion and retention discounts for data:

  • High Priority: Data that must be indexed and queried regularly has access to every feature in the platform.
  • Medium Priority (75% cost savings): Data that drives dashboards, in-stream alerting, machine learning models and more.
  • Low Priority (90% cost savings): Data that is retained for regulatory or historical analysis purposes. This data is archived in an S3 bucket hosted in the customer’s account.

Unparalleled cost optimization for traces 

Previously, customers were required to index all of their traces. Now, they can decide which traces will and won’t be indexed. In addition, every feature is still accessible without indexing and users will not need to exchange valuable insights for cost.

Using Coralogix TCO Optimizer, users can rapidly scale their tracing strategy, by retaining the traces they absolutely need. For the other traces, these can be converted into metrics using the Events2Metrics feature, enabling long-term retention, instant access and flexible analysis. Finally, traces can be archived, reindexed or directly queried, even without indexing. These options enable Coralogix users to greatly increase their dataset of tracing data, without incurring significant costs. 

Historical tracing is now a reality

Coralogix now supports an often overlooked use case: historical tracing. Customers can retain detailed information about their service-to-service interactions in their S3 bucket, for as long as they like, without suffering under the performance, cost and usability penalties of the past. Historical tracing, coupled with Coralogix Remote Query, means that data is not only retained, but instantly accessible, without the need to reindex

The Coralogix Archive, for both logs and traces, is not simply a storage container for unindexed data, but an active, working part of the customer’s dataset, driving informed decisions and producing insights well after data is ingested. Your tracing platform should be scalable and cost efficient, with native integrations into your favorite open source tools.