software
New Relic vs Elasticsearch 2026: APM vs Search Engine
New Relic is a comprehensive Application Performance Monitoring (APM) platform with pre-built dashboards and AI-driven insights, while Elasticsearch is a powerful search and analytics engine requiring custom configuration. New Relic excels for full-stack observability; Elasticsearch is better for log and data search use cases.
NR
New Relic
SaaS-based observability platform with full-stack APM, infrastructure monitoring, and AI-powered insights.
DevOps teams, SaaS companies, and enterprises needing quick insights into application performance without heavy engineering overhead
Score63%
VS
E
Elasticsearch
Open-source distributed search and analytics engine for logs and data indexing
Organizations with strong DevOps expertise, enterprises requiring unlimited data retention, and teams needing low-cost search infrastructure at scale
Score63%
Quick Answer
AI SummaryNew Relic is a comprehensive Application Performance Monitoring (APM) platform with pre-built dashboards and AI-driven insights, while Elasticsearch is a powerful search and analytics engine requiring custom configuration. New Relic excels for full-stack observability; Elasticsearch is better for log and data search use cases.
Our Verdict
AI-assistedChoose New Relic if you need fast time-to-value, pre-built dashboards, and AI-powered insights for application performance monitoring across distributed systems. Choose Elasticsearch if you need a cost-effective, customizable search and analytics engine with unlimited data retention and don't mind managing your own infrastructure and configuration.
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N
New Relic
7.3/10
Elasticsearch
7.7/10
E
N
Choose New Relic if
DevOps teams, SaaS companies, and enterprises needing quick insights into application performance without heavy engineering overhead
E
Choose Elasticsearch if
Best pickOrganizations with strong DevOps expertise, enterprises requiring unlimited data retention, and teams needing low-cost search infrastructure at scale
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Key Differences at a Glance
- Primary Use Case:Full-stack APM, monitoring, and observability vs Search, log analysis, and data indexing
- Setup Complexity:✓ New Relic wins(Low - pre-built integrations and dashboards vs High - requires custom configuration and expertise)
- Monthly Pricing (Small Team):✓ Elasticsearch wins($0 (open-source) or $10,600+/year (cloud) vs $599-$999/month)
Key Facts & Figures
141 numeric metrics compared
| Metric | New Relic | Elasticsearch | Ratio |
|---|---|---|---|
| Base Monthly Price(USD) | $99 | — | — |
| Free Tier Events per Month(events) | Limited trial only | — | — |
| Supported Languages/SDKs(count) | 25+ languages | — | — |
| Session Replay Starting Tier(USD/month) | $1,200+ (Enterprise tier) | — | — |
| Setup Time (First Deploy)(minutes) | 45-60 minutes | — | — |
| Native Integrations(count) | 600+ | — | — |
| Metrics Data Retention(months) | 13 months | — | — |
| Global Data Centers(locations) | 12+ regions | — | — |
| Starting Monthly Cost(USD) | $99 | — | — |
| Free Tier Event Quota(events/month) | 100 | — | — |
| Setup Time for First Alert(minutes) | 22 | — | — |
| Supported Languages/Frameworks(count) | 40+ including Java, Python, Node.js, Go, Ruby | 45+ via Logstash and Beats | |
| Data Retention (Free Plan)(days) | 7 | — | — |
| Monthly Ingestion Cost per GB(USD) | $0.25 - $0.50 | $0.10 - $0.20 | |
| Setup Time to Production(minutes) | 15-30 minutes | 40-80 (self-hosted) | |
| Maximum Data Volume per Cluster(TB) | Multi-tenant SaaS limit (typically 50-500TB per org) | Petabyte-scale (1000+ TB) | |
| Query Language Complexity (1-10 scale)(complexity rating) | 3 (NRQL - SQL-like, intuitive) | 7 (Lucene/DSL - steep learning curve) | |
| Average Customer Onboarding Time(hours) | 3-7 days | 30-90 days | |
| Base Monthly Cost (100 GB/month)(USD) | $3,000-5,000 | — | — |
| Implementation Timeline(weeks) | 2-4 weeks | 6-12 weeks | |
| Out-of-Box Integrations(count) | 700+ | ~300 integrations | |
| Average MTTR Improvement(percent reduction) | 35-45% reduction | — | — |
| Max Data Retention (free tier)(days) | 7 days | — | — |
| Monthly Platform Cost (100GB/month ingestion)(USD) | $3,000-$9,900 | — | — |
| Supported Programming Languages (APM)(languages) | 10+ languages | — | — |
| Mean Time to Resolution (MTTR) Improvement(percentage reduction) | 30-40% faster (manual investigation) | Depends on manual investigation | — |
| Setup Time for Multi-Service Environment(days) | 7-14 days (manual per service) | — | — |
| Data Retention (Standard Plan)(days) | 30 days | — | — |
| Free Trial Period(days) | 14 days unlimited | — | — |
| User Satisfaction Score (G2 Reviews)(out of 5.0) | 4.6 stars (1,800+ reviews) | — | — |
| Minimum Monthly Cost (Small Org)(USD) | $500-$800 typical (based on ~1-2 GB/day ingestion) | — | — |
| Data Source Integrations Available(count) | ~700 integrations (includes agents, APIs, partners) | — | — |
| Supported APM Frameworks(count) | 900+ with automatic instrumentation | — | — |
| Setup Time for Basic Monitoring(days) | 1-2 hours (wizard-based, automatic) | — | — |
| Data Retention (Free Tier)(months) | 30 days (logs), 365 days (metrics) | — | — |
| User Seats Included (Starter)(seats) | Full team access included; per-user pricing optional | — | — |
| Monthly Pricing (Starter Plan)(USD) | $99 | — | — |
| Implementation Time (Average)(minutes) | 52 minutes | — | — |
| Third-party Integrations(count) | 600+ integrations | 2000+ | |
| Global Customer Base(millions) | 16,000+ customers | — | — |
| Pre-built Integrations(integrations) | 500+ | 200+ | |
| API Call Rate Limit (Standard Plan)(calls per minute) | 600 calls/minute | — | — |
| Customer Satisfaction (G2 Rating)(stars) | 4.6 stars (2,400+ reviews) | — | — |
| Minimum Paid Plan Cost(USD/month) | $99/month | — | — |
| Native Integrations(count) | 400+ | — | — |
| APM Transaction Sampling Interval(seconds) | 8 seconds | — | — |
| Free Tier Data Retention(days) | 1 day | 30+ days (self-hosted) | |
| Log Management Cost(USD per GB/month) | $0.35 | — | — |
| Average Implementation Time(days) | 3-4 days | — | — |
| Supported Programming Languages(languages) | 20+ languages | Unlimited (via client libraries) | — |
| Monthly Starting Price(USD) | $99/month | — | — |
| Default Data Retention(days) | 13 days (metrics) / 8 days (events) | Unlimited (configurable) | — |
| Supported Application Languages(count) | 8+ languages | — | — |
| Average Setup Time(minutes) | 3-5 days | — | — |
| Average Customer Satisfaction (G2 Rating)(stars) | 4.3/5.0 (2,100+ reviews) | — | — |
| SDK Size (JavaScript)(KB gzipped) | ~35 KB | — | — |
| Starting Monthly Price(USD) | $99 | — | — |
| Available Integrations(count) | 600+ | 1000+ plugins/integrations | |
| Error Deduplication Effectiveness(percent) | 75% noise reduction | — | — |
| Base Monthly Cost (Small Team)(USD) | $599-$999 | $0 (self-hosted) / $884 (cloud) | |
| Data Retention (Standard)(days) | 8 days | Unlimited (user-configured) | — |
| Initial Setup Time(hours) | 4-8 hours for basic APM | 40-80 hours for production cluster | |
| Annual Cloud Subscription (Large Team)(USD) | $50,000-$120,000 | $10,600-$40,000 (Elastic Cloud) | |
| Base Monthly Cost(USD) | $99 (Standard tier minimum) | — | — |
| Native Data Source Integrations(count) | 600+ integrations | — | — |
| APM Language Support(languages) | 10+ (auto-instrumented) | — | — |
| Deployment Models Supported(count) | 1 option (SaaS cloud-only) | — | — |
| GitHub Stars (Community Traction)(thousands) | ~5k stars | — | — |
| Base Annual Cost (Small Deployment)(USD) | $0 (self-hosted) | $0 (self-hosted) | |
| Per-Gigabyte Ingestion Cost(USD per GB per day) | $0 (unlimited after infrastructure cost) | $0 (unlimited after infrastructure cost) | |
| Query Response Time (1B records)(milliseconds) | 50-200ms | 50-200ms | |
| Built-in Compliance Certifications(count) | 0 (requires custom hardening) | 0 (requires custom hardening) | |
| Machine Learning Use Cases Included(count) | 3 (anomaly detection, forecasting, outlier detection) | 3 (anomaly detection, forecasting, outlier detection) | |
| Maximum Cluster Nodes(nodes) | Unlimited (enterprise only) | Unlimited (enterprise only) | |
| Community Support Response Time(hours) | 12-48 (community forums) | 12-48 (community forums) | |
| Max Ingestion Throughput(events/second) | 75,000 | 75,000 | |
| Query Latency (50th percentile)(milliseconds) | 300 | 300 | |
| Data Compression Ratio (metrics)(ratio) | 4:1 | 4:1 | |
| GitHub Stars(stars) | 65,800 | 65,800 | |
| Minimum Cluster Node Count(nodes) | 2 | 2 | |
| Memory Overhead (1M events)(MB per node) | 250 | 250 | |
| P99 Query Latency(milliseconds) | 100-500ms | 100-500ms | |
| Maximum Recommended Cluster Size(nodes) | 1,000+ (tested to 10,000 with advanced tuning) | 1,000+ (tested to 10,000 with advanced tuning) | |
| Data Compression Ratio(x compression) | 2-4x | 2-4x | |
| Time to First Production Query(days) | 1-3 days (schemaless indexing) | 1-3 days (schemaless indexing) | |
| Typical Memory Per Node(GB) | 32-64GB for equivalent throughput | 32-64GB for equivalent throughput | |
| GitHub Stars (as of 2026)(stars) | 66,000+ | 66,000+ | |
| Total Cost of Ownership (Year 1)(USD) | $0-$10,000 (self-hosted) or $20,000-$60,000 (managed) | $0-$10,000 (self-hosted) or $20,000-$60,000 (managed) | |
| Average Time to Root Cause (MTTR)(minutes) | 45-120 (manual investigation required) | 45-120 (manual investigation required) | |
| Supported Technologies(integrations) | 1000+ via community/Beats | 1000+ via community/Beats | |
| Ingest Rate (Typical)(events per second) | 500,000+ EPS per cluster | 500,000+ EPS per cluster | |
| Average Query Latency(milliseconds) | 47ms | 47ms | |
| Minimum RAM Requirement(GB) | 512MB | 512MB | |
| Enterprise Market Share(%) | 66% | 66% | |
| GitHub Community Size(stars) | 68,000+ stars | 68,000+ stars | |
| Replication Setup Time(minutes) | 5-10 minutes | 5-10 minutes | |
| Bulk Indexing Performance(%) | 65 docs/sec per thread | 65 docs/sec per thread | |
| Annual Commercial Support Cost(USD) | $5,000-$50,000 | $5,000-$50,000 | |
| Time to First Production Deployment(days) | 14-28 days | 14-28 days | |
| Query Latency (p99)(milliseconds) | 50-200ms | 50-200ms | |
| Monthly Cost (100GB index, 1M queries/month)(USD) | $200-500 self-hosted | $200-500 self-hosted | |
| Maximum Practical Index Size(GB) | Petabyte-scale (unlimited) | Petabyte-scale (unlimited) | |
| API Response Time for Simple Search(milliseconds) | 100-300ms | 100-300ms | |
| Customization Depth (1-10 scale)(score) | 9/10 (plugins, analyzers, scripting) | 9/10 (plugins, analyzers, scripting) | |
| Support SLA Response Time(hours) | Community-based or 4+ hours (enterprise) | Community-based or 4+ hours (enterprise) | |
| Time to Production(days) | 14-28 days (self-hosted) | 14-28 days (self-hosted) | |
| Monthly Cost (1TB/day ingestion)(USD) | $3,000-$8,000 | $3,000-$8,000 | |
| Price per GB Ingested(USD/GB) | $0.02-$0.05 | $0.02-$0.05 | |
| Infrastructure Management Overhead(hours per month) | 1.0-2.0 FTE | 1.0-2.0 FTE | |
| Setup Complexity (1-10 scale)(complexity score) | 8/10 (requires DevOps expertise) | 8/10 (requires DevOps expertise) | |
| Minimum Memory Requirement(MB) | 2-4 GB | 2-4 GB | |
| Setup Time to First Query(minutes) | 120-240 minutes | 120-240 minutes | |
| Query Latency (p95 on 1M docs)(milliseconds) | 50-200 ms | 50-200 ms | |
| Maximum Recommended Data Scale(documents) | 1+ Billion (across clusters) | 1+ Billion (across clusters) | |
| Aggregation Types Supported(count) | 40+ aggregation types | 40+ aggregation types | |
| GitHub Stars (Community Size)(stars) | ~60,000 stars | ~60,000 stars | |
| Annual Infrastructure Cost (100M docs)(USD) | $50,000-150,000 | $50,000-150,000 | |
| Enterprise Market Share (2024)(%) | 70% | 70% | |
| Time to First Production Insight(days) | 14-30 days | 14-30 days | |
| Automatic Instrumentation Coverage(technologies) | 30-40 (via Beats) | 30-40 (via Beats) | |
| Starting Annual Cost(USD) | $0 (open-source) or $12,000 | $0 (open-source) or $12,000 | |
| Community Size & Resources(active contributors) | 1M+ active developers | 1M+ active developers | |
| Average Time to Value(days) | 14-30 days | 14-30 days | |
| Total Cost of Ownership (3-year, 500GB/month ingestion)(USD) | $120,000 (self-hosted licensing + 2 FTEs infrastructure) | $120,000 (self-hosted licensing + 2 FTEs infrastructure) | |
| Number of Pre-built Integrations(integrations) | 150+ | 150+ | |
| Query Performance on 1TB Index(milliseconds) | 100-2000ms (depends on tuning) | 100-2000ms (depends on tuning) | |
| Required Infrastructure Team Size (100 users)(FTEs) | 2-3 (cluster management + optimization) | 2-3 (cluster management + optimization) | |
| Memory Usage (Baseline Configuration)(MB) | 512 MB | 512 MB | |
| Search Latency (99th Percentile)(ms) | 150 ms | 150 ms | |
| Maximum Dataset Size (Practical Limit)(TB) | Unlimited (petabyte-scale) | Unlimited (petabyte-scale) | |
| Setup Time (Basic Deployment)(minutes) | 60-120 minutes | 60-120 minutes | |
| Full-Text Search Languages Supported(languages) | 30+ languages | 30+ languages | |
| Production Deployments (Estimated)(count) | 500,000+ companies worldwide | 500,000+ companies worldwide | |
| Typical Query Latency (1B rows, GROUP BY)(milliseconds) | 500-2000ms | 500-2000ms | |
| Index Size to Data Ratio(multiplier) | 0.5-2x | 0.5-2x | |
| GitHub Stars (Community Size Proxy)(stars) | 68,000+ | 68,000+ | |
| Typical Deployment Complexity(relative score) | Low-Medium (simpler operations) | Low-Medium (simpler operations) | |
| Maximum Practical Dataset Size(petabytes) | 5+ PB (operational limit) | 5+ PB (operational limit) | |
| Annual Cost for 500GB/day Ingestion(USD) | $180,000-$240,000 | $180,000-$240,000 | |
| Minimum Required DevOps FTE(people) | 2-4 full-time engineers | 2-4 full-time engineers | |
| Data Retention Cost per GB/month(USD) | $0.50-$1.50 | $0.50-$1.50 |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
NR
4New RelicNew Relic leads1 tie
E
2ElasticsearchNew Relic
Attribute
Elasticsearch
- Full-stack APM, monitoring, and observabilityPrimary Use CaseSearch, log analysis, and data indexing
- Low - pre-built integrations and dashboards(winner)Setup ComplexityHigh - requires custom configuration and expertise
- $599-$999/monthMonthly Pricing (Small Team)$0 (open-source) or $10,600+/year (cloud)(winner)
- 8 days standard, 90 days with extended planData Retention (Default)Unlimited (user-defined retention)(winner)
- Built-in anomaly detection and root cause analysis(winner)AI/ML InsightsRequires separate ML plugins and custom configuration
- 2-4 weeks for basic proficiency(winner)Learning Curve for IT Teams4-12 weeks for production-grade deployment
- 500+ pre-built integrations(winner)Integration Breadth200+ integrations, more via community plugins
- Primary Use Case
New Relic
Full-stack APM, monitoring, and observability
Elasticsearch
Search, log analysis, and data indexing
- Setup Complexity
New Relic
Low - pre-built integrations and dashboards(winner)
Elasticsearch
High - requires custom configuration and expertise
- Monthly Pricing (Small Team)
New Relic
$599-$999/month
Elasticsearch
$0 (open-source) or $10,600+/year (cloud)(winner)
- Data Retention (Default)
New Relic
8 days standard, 90 days with extended plan
Elasticsearch
Unlimited (user-defined retention)(winner)
- AI/ML Insights
New Relic
Built-in anomaly detection and root cause analysis(winner)
Elasticsearch
Requires separate ML plugins and custom configuration
- Learning Curve for IT Teams
New Relic
2-4 weeks for basic proficiency(winner)
Elasticsearch
4-12 weeks for production-grade deployment
- Integration Breadth
New Relic
500+ pre-built integrations(winner)
Elasticsearch
200+ integrations, more via community plugins
Full Comparison
| Attribute | New Relic | Elasticsearch |
|---|---|---|
| Base Monthly Price(USD) | $99 | — |
| Free Tier Events per Month(events) | Limited trial only | — |
| Starting Monthly Price(USD) | $0.30 per GB ingested | — |
| Starting Monthly Cost(USD) | $99 | — |
| Free Tier Event Quota(events/month) | 100 | — |
Show 15 more attributesMonthly Ingestion Cost per GB(USD) $0.25 - $0.50 $0.10 - $0.20 Base Monthly Cost (100 GB/month)(USD) $3,000-5,000 — Monthly Pricing (Starter Plan)(USD) $99 — Log Management Cost(USD per GB/month) $0.35 — Monthly Starting Price(USD) $99/month — Starting Monthly Price(USD) $99 — Base Monthly Cost (Small Team)(USD) $599-$999 $0 (self-hosted) / $884 (cloud) Annual Cloud Subscription (Large Team)(USD) $50,000-$120,000 $10,600-$40,000 (Elastic Cloud) Base Monthly Cost(USD) $99 (Standard tier minimum) — Base Annual Cost (Small Deployment)(USD) $0 (self-hosted) — Per-Gigabyte Ingestion Cost(USD per GB per day) $0 (unlimited after infrastructure cost) — Monthly Cost (100GB index, 1M queries/month)(USD) $200-500 self-hosted — Monthly Cost (1TB/day ingestion)(USD) $3,000-$8,000 — Price per GB Ingested(USD/GB) $0.02-$0.05 — Starting Annual Cost(USD) $0 (open-source) or $12,000 — | ||
| Supported Languages/SDKs(count) | 25+ languages | — |
| Supported Languages/Frameworks(count) | 40+ including Java, Python, Node.js, Go, Ruby | 45+ via Logstash and Beats(winner) |
| Supported Programming Languages(languages) | 20+ languages | Unlimited (via client libraries) |
| Supported Application Languages(count) | 8+ languages | — |
| Supported Technologies(integrations) | 1000+ via community/Beats | — |
| Infrastructure Monitoring | Native (servers, containers, Kubernetes) | — |
| Session Replay Starting Tier(USD/month) | $1,200+ (Enterprise tier) | — |
| Log Aggregation Capability | Integrated with 100+ data sources | — |
| APM Specialization | Advanced profiling and error intelligence | — |
| Log Ingestion & Parsing | Solid core capabilities | — |
Show 23 more attributesNative Infrastructure Monitoring Yes (native) — Integrated Log Management Yes — Out-of-Box Integrations(count) 700+ ~300 integrations Data Retention (Standard Plan)(days) 30 days — Kubernetes/Container Auto-Discovery(capability) Supported via agents, requires configuration — Infrastructure Monitoring Included Yes — AI-Powered Anomaly Detection Advanced ML-based detection — Business Transaction Auto-Discovery(null) Manual configuration required — Code-Level Diagnostics(null) Available with premium add-on — APM Capability Level Enterprise-grade — AI/Anomaly Detection Built-in with Proactive Detection Requires ML plugins or third-party tools Native Data Source Integrations(count) 600+ integrations — APM Language Support(languages) 10+ (auto-instrumented) — Dashboard Customization Level Pre-built templates with limited custom visualization options — AI/ML Anomaly Detection Advanced ML-powered anomaly detection and root cause analysis — Full-Text Search Capability Native (analyzers, relevance tuning, fuzzy matching) — Faceted Search Native Support Via aggregations (requires custom queries) — Query Language Complexity Advanced EQL with full customization — Default Typo Tolerance Manual configuration required — Number of Pre-built Integrations(integrations) 150+ — Full-Text Search Languages Supported(languages) 30+ languages — Typo Tolerance (Out-of-Box)(null) Requires configuration/plugin — SQL Query Support SQL plugin available (limited JOIN support) — | ||
| Setup Time (First Deploy)(minutes) | 45-60 minutes | — |
| User Interface Intuitiveness | More intuitive, faster onboarding | — |
| Query Language | NRQL (natural language-like, easier to learn) | Query DSL (complex, steep learning curve) |
| Native Integrations(count) | 600+ | — |
| Pre-built Integrations(integrations) | 500+(winner) | 200+ |
| Metrics Data Retention(months) | 13 months | — |
| Data Retention (Free Plan)(days) | 7 | — |
| Max Data Retention (free tier)(days) | 7 days | — |
| Data Retention (Free Tier)(months) | 30 days (logs), 365 days (metrics) | — |
| Data Retention (Standard)(days) | 8 days | Unlimited (user-configured) |
Show 1 more attributeData Retention (Default)(days) Unlimited (storage-dependent) — | ||
| Global Data Centers(locations) | 12+ regions | — |
| Kubernetes Support | Good with cloud-native focus | — |
| Deployment Flexibility | Cloud-only SaaS (no self-hosted option) | — |
| Kubernetes Cluster Support(native vs requires config) | Native (full instrumentation out-of-box) | — |
| Minimum RAM Requirement(GB) | 512MB | — |
| Setup Time for First Alert(minutes) | 22 | — |
| Query Language Complexity (1-10 scale)(complexity rating) | 3 (NRQL - SQL-like, intuitive)(winner) | 7 (Lucene/DSL - steep learning curve) |
| Setup Time for Basic Monitoring(days) | 1-2 hours (wizard-based, automatic) | — |
| Implementation Time (Average)(minutes) | 52 minutes | — |
| Initial Setup Time(hours) | 4-8 hours for basic APM(winner) | 40-80 hours for production cluster |
Show 4 more attributesTime to First Production Query(days) 1-3 days (schemaless indexing) — Learning Curve(hours) 3-6 months — Setup Time to First Query(minutes) 120-240 minutes — Automatic Instrumentation Coverage(technologies) 30-40 (via Beats) — | ||
| Setup Time to Production(minutes) | 15-30 minutes(winner) | 40-80 (self-hosted) |
| Implementation Timeline(weeks) | 2-4 weeks(winner) | 6-12 weeks |
| Deployment Models Supported(count) | 1 option (SaaS cloud-only) | — |
| Time to Production(days) | 14-28 days (self-hosted) | — |
| Setup Time (Basic Deployment)(minutes) | 60-120 minutes | — |
| Maximum Data Volume per Cluster(TB) | Multi-tenant SaaS limit (typically 50-500TB per org) | Petabyte-scale (1000+ TB)(winner) |
| Maximum Cluster Nodes(nodes) | Unlimited (enterprise only) | — |
| Maximum Recommended Cluster Size(nodes) | 1,000+ (tested to 10,000 with advanced tuning) | — |
| Ingest Rate (Typical)(events per second) | 500,000+ EPS per cluster | — |
| Maximum Practical Index Size(GB) | Petabyte-scale (unlimited) | — |
Show 3 more attributesMaximum Recommended Data Scale(documents) 1+ Billion (across clusters) — Maximum Dataset Size (Practical Limit)(TB) Unlimited (petabyte-scale) — Maximum Practical Dataset Size(petabytes) 5+ PB (operational limit) — | ||
| Deployment Options(count) | SaaS only (cloud-hosted) | Self-hosted, SaaS (Elastic Cloud), or Kubernetes |
| Customization Depth (1-10 scale)(score) | 9/10 (plugins, analyzers, scripting) | — |
| Average Customer Onboarding Time(hours) | 3-7 days(winner) | 30-90 days |
| Code-Level Instrumentation Depth(null) | Method-level profiling | — |
| Automatic Anomaly Detection(null) | Rule-based thresholds | — |
| Average MTTR Improvement(percent reduction) | 35-45% reduction | — |
| Mean Time to Resolution (MTTR) Improvement(percentage reduction) | 30-40% faster (manual investigation) | Depends on manual investigation |
| Monthly Platform Cost (100GB/month ingestion)(USD) | $3,000-$9,900 | — |
| Minimum Monthly Cost (Small Org)(USD) | $500-$800 typical (based on ~1-2 GB/day ingestion) | — |
| Supported Programming Languages (APM)(languages) | 10+ languages | — |
| Setup Time for Multi-Service Environment(days) | 7-14 days (manual per service) | — |
| Free Trial Period(days) | 14 days unlimited | — |
| Average Implementation Time(days) | 3-4 days | — |
| User Satisfaction Score (G2 Reviews)(out of 5.0) | 4.6 stars (1,800+ reviews) | — |
| Global Customer Base(millions) | 16,000+ customers | — |
| Data Source Integrations Available(count) | ~700 integrations (includes agents, APIs, partners) | — |
| Supported APM Frameworks(count) | 900+ with automatic instrumentation | — |
| Enterprise Support SLA | 24/7 with 1-4 hour response SLA depending on tier | — |
| Community Support Response Time(hours) | 12-48 (community forums) | — |
| Support SLA Response Time(hours) | Community-based or 4+ hours (enterprise) | — |
| User Seats Included (Starter)(seats) | Full team access included; per-user pricing optional | — |
| Third-party Integrations(count) | 600+ integrations | 2000+(winner) |
| Available Integrations(count) | 600+ | 1000+ plugins/integrations(winner) |
| GitHub Stars (Community Size Proxy)(stars) | 68,000+ | — |
| API Call Rate Limit (Standard Plan)(calls per minute) | 600 calls/minute | — |
| Code-Level Diagnostics Depth(granularity level) | Transaction tracing, error stack traces | — |
| Customer Satisfaction (G2 Rating)(stars) | 4.6 stars (2,400+ reviews) | — |
| Free Tier Event Limit(events/month) | 100 GB ingestion/month | — |
| Minimum Paid Plan Cost(USD/month) | $99/month | — |
| Native Integrations(count) | 400+ | — |
| APM Transaction Sampling Interval(seconds) | 8 seconds | — |
| Free Tier Data Retention(days) | 1 day | 30+ days (self-hosted)(winner) |
| Default Data Retention(days) | 13 days (metrics) / 8 days (events) | Unlimited (configurable) |
| Error Deduplication Effectiveness(percent) | 75% noise reduction | — |
| Query Response Time (1B records)(milliseconds) | 50-200ms | — |
| Max Ingestion Throughput(events/second) | 75,000 | — |
Show 13 more attributesQuery Latency (50th percentile)(milliseconds) 300 — P99 Query Latency(milliseconds) 100-500ms — Average Time to Root Cause (MTTR)(minutes) 45-120 (manual investigation required) — Average Query Latency(milliseconds) 47ms — Bulk Indexing Performance(%) 65 docs/sec per thread — Query Latency (p99)(milliseconds) 50-200ms — API Response Time for Simple Search(milliseconds) 100-300ms — Minimum Memory Requirement(MB) 2-4 GB — Query Latency (p95 on 1M docs)(milliseconds) 50-200 ms — Query Performance on 1TB Index(milliseconds) 100-2000ms (depends on tuning) — Memory Usage (Baseline Configuration)(MB) 512 MB — Search Latency (99th Percentile)(ms) 150 ms — Typical Query Latency (1B rows, GROUP BY)(milliseconds) 500-2000ms — | ||
| Kubernetes Monitoring Capabilities(text) | Advanced cluster intelligence with pod diagnostics | — |
| Average Setup Time(minutes) | 3-5 days | — |
| API Complexity(learning effort) | Complex Query DSL requiring technical expertise | — |
| Average Customer Satisfaction (G2 Rating)(stars) | 4.3/5.0 (2,100+ reviews) | — |
| SDK Size (JavaScript)(KB gzipped) | ~35 KB | — |
| GitHub Stars (Community Traction)(thousands) | ~5k stars | — |
| GitHub Stars(stars) | 65,800 | — |
| GitHub Community Size(stars) | 68,000+ stars | — |
| Built-in Compliance Certifications(count) | 0 (requires custom hardening) | — |
| Machine Learning Use Cases Included(count) | 3 (anomaly detection, forecasting, outlier detection) | — |
| Aggregation Types Supported(count) | 40+ aggregation types | — |
| Data Compression Ratio (metrics)(ratio) | 4:1 | — |
| Data Retention Default(months) | Unlimited (storage-dependent) | — |
| Minimum Cluster Node Count(nodes) | 2 | — |
| Replication Setup Time(minutes) | 5-10 minutes | — |
| Infrastructure Management Requirement | Requires DevOps expertise | — |
| Infrastructure Management Overhead(hours per month) | 1.0-2.0 FTE | — |
| Infrastructure Setup Complexity(DevOps hours) | 80-200 hours (extensive) | — |
Show 3 more attributesRequired Infrastructure Team Size (100 users)(FTEs) 2-3 (cluster management + optimization) — Typical Deployment Complexity(relative score) Low-Medium (simpler operations) — Minimum Required DevOps FTE(people) 2-4 full-time engineers — | ||
| Memory Overhead (1M events)(MB per node) | 250 | — |
| Data Compression Ratio(x compression) | 2-4x | — |
| Index Size to Data Ratio(multiplier) | 0.5-2x | — |
| SQL Support | SQL via plugin (Elastic SQL), primary is Query DSL | — |
| Typical Memory Per Node(GB) | 32-64GB for equivalent throughput | — |
| GitHub Stars (as of 2026)(stars) | 66,000+ | — |
| Total Cost of Ownership (Year 1)(USD) | $0-$10,000 (self-hosted) or $20,000-$60,000 (managed) | — |
| Annual Commercial Support Cost(USD) | $5,000-$50,000 | — |
| Annual Infrastructure Cost (100M docs)(USD) | $50,000-150,000 | — |
| Total Cost of Ownership (3-year, 500GB/month ingestion)(USD) | $120,000 (self-hosted licensing + 2 FTEs infrastructure) | — |
| Annual Cost for 500GB/day Ingestion(USD) | $180,000-$240,000 | — |
Show 1 more attributeData Retention Cost per GB/month(USD) $0.50-$1.50 — | ||
| Enterprise Market Share(%) | 66% | — |
| Time to First Production Deployment(days) | 14-28 days | — |
| Average Time to Value(days) | 14-30 days | — |
| Setup Complexity (1-10 scale)(complexity score) | 8/10 (requires DevOps expertise) | — |
| GitHub Stars (Community Size)(stars) | ~60,000 stars | — |
| Enterprise Market Share (2024)(%) | 70% | — |
| Time to First Production Insight(days) | 14-30 days | — |
| AI-Powered Root Cause Analysis(native capability) | Requires third-party integrations | — |
| Query Language Flexibility(flexibility score) | Full Elasticsearch Query DSL and custom scripts | — |
| Community Size & Resources(active contributors) | 1M+ active developers | — |
| Supported Data Types(types) | Logs, metrics (via plugins), custom JSON data | — |
| Query Language Expressiveness(languages supported) | Lucene, KQL, SQL, JavaScript | — |
| Community Size(millions of users) | 180,000+ (open-source) | — |
| Production Deployments (Estimated)(count) | 500,000+ companies worldwide | — |
| Full-Text Search Optimization | Native, highly optimized (primary feature) | — |
| Real-Time Ingestion Support | Via Beats and Logstash (indirect) | — |
| SLA Uptime Guarantee(percent) | Varies by deployment (self-hosted: customer responsibility) | — |
| Open-Source | Yes (SSPL/Elastic License) | — |
NNew Relic
EElasticsearch
Base Monthly Price(USD)
$99
—
Free Tier Events per Month(events)
Limited trial only
—
Starting Monthly Price(USD)
$0.30 per GB ingested
—
Starting Monthly Cost(USD)
$99
—
Free Tier Event Quota(events/month)
100
—
Show 15 more attributes
Monthly Ingestion Cost per GB(USD)
$0.25 - $0.50
$0.10 - $0.20
Base Monthly Cost (100 GB/month)(USD)
$3,000-5,000
—
Monthly Pricing (Starter Plan)(USD)
$99
—
Log Management Cost(USD per GB/month)
$0.35
—
Monthly Starting Price(USD)
$99/month
—
Starting Monthly Price(USD)
$99
—
Base Monthly Cost (Small Team)(USD)
$599-$999
$0 (self-hosted) / $884 (cloud)
Annual Cloud Subscription (Large Team)(USD)
$50,000-$120,000
$10,600-$40,000 (Elastic Cloud)
Base Monthly Cost(USD)
$99 (Standard tier minimum)
—
Base Annual Cost (Small Deployment)(USD)
$0 (self-hosted)
—
Per-Gigabyte Ingestion Cost(USD per GB per day)
$0 (unlimited after infrastructure cost)
—
Monthly Cost (100GB index, 1M queries/month)(USD)
$200-500 self-hosted
—
Monthly Cost (1TB/day ingestion)(USD)
$3,000-$8,000
—
Price per GB Ingested(USD/GB)
$0.02-$0.05
—
Starting Annual Cost(USD)
$0 (open-source) or $12,000
—
Supported Languages/SDKs(count)
25+ languages
—
Supported Languages/Frameworks(count)
40+ including Java, Python, Node.js, Go, Ruby
45+ via Logstash and Beats
Supported Programming Languages(languages)
20+ languages
Unlimited (via client libraries)
Supported Application Languages(count)
8+ languages
—
Supported Technologies(integrations)
1000+ via community/Beats
—
Infrastructure Monitoring
Native (servers, containers, Kubernetes)
—
Session Replay Starting Tier(USD/month)
$1,200+ (Enterprise tier)
—
Log Aggregation Capability
Integrated with 100+ data sources
—
APM Specialization
Advanced profiling and error intelligence
—
Log Ingestion & Parsing
Solid core capabilities
—
Show 23 more attributes
Native Infrastructure Monitoring
Yes (native)
—
Integrated Log Management
Yes
—
Out-of-Box Integrations(count)
700+
~300 integrations
Data Retention (Standard Plan)(days)
30 days
—
Kubernetes/Container Auto-Discovery(capability)
Supported via agents, requires configuration
—
Infrastructure Monitoring Included
Yes
—
AI-Powered Anomaly Detection
Advanced ML-based detection
—
Business Transaction Auto-Discovery(null)
Manual configuration required
—
Code-Level Diagnostics(null)
Available with premium add-on
—
APM Capability Level
Enterprise-grade
—
AI/Anomaly Detection
Built-in with Proactive Detection
Requires ML plugins or third-party tools
Native Data Source Integrations(count)
600+ integrations
—
APM Language Support(languages)
10+ (auto-instrumented)
—
Dashboard Customization Level
Pre-built templates with limited custom visualization options
—
AI/ML Anomaly Detection
Advanced ML-powered anomaly detection and root cause analysis
—
Full-Text Search Capability
Native (analyzers, relevance tuning, fuzzy matching)
—
Faceted Search Native Support
Via aggregations (requires custom queries)
—
Query Language Complexity
Advanced EQL with full customization
—
Default Typo Tolerance
Manual configuration required
—
Number of Pre-built Integrations(integrations)
150+
—
Full-Text Search Languages Supported(languages)
30+ languages
—
Typo Tolerance (Out-of-Box)(null)
Requires configuration/plugin
—
SQL Query Support
SQL plugin available (limited JOIN support)
—
Setup Time (First Deploy)(minutes)
45-60 minutes
—
User Interface Intuitiveness
More intuitive, faster onboarding
—
Query Language
NRQL (natural language-like, easier to learn)
Query DSL (complex, steep learning curve)
Native Integrations(count)
600+
—
Pre-built Integrations(integrations)
500+
200+
Metrics Data Retention(months)
13 months
—
Data Retention (Free Plan)(days)
7
—
Max Data Retention (free tier)(days)
7 days
—
Data Retention (Free Tier)(months)
30 days (logs), 365 days (metrics)
—
Data Retention (Standard)(days)
8 days
Unlimited (user-configured)
Show 1 more attribute
Data Retention (Default)(days)
Unlimited (storage-dependent)
—
Global Data Centers(locations)
12+ regions
—
Kubernetes Support
Good with cloud-native focus
—
Deployment Flexibility
Cloud-only SaaS (no self-hosted option)
—
Kubernetes Cluster Support(native vs requires config)
Native (full instrumentation out-of-box)
—
Minimum RAM Requirement(GB)
512MB
—
Setup Time for First Alert(minutes)
22
—
Query Language Complexity (1-10 scale)(complexity rating)
3 (NRQL - SQL-like, intuitive)
7 (Lucene/DSL - steep learning curve)
Setup Time for Basic Monitoring(days)
1-2 hours (wizard-based, automatic)
—
Implementation Time (Average)(minutes)
52 minutes
—
Initial Setup Time(hours)
4-8 hours for basic APM
40-80 hours for production cluster
Show 4 more attributes
Time to First Production Query(days)
1-3 days (schemaless indexing)
—
Learning Curve(hours)
3-6 months
—
Setup Time to First Query(minutes)
120-240 minutes
—
Automatic Instrumentation Coverage(technologies)
30-40 (via Beats)
—
Setup Time to Production(minutes)
15-30 minutes
40-80 (self-hosted)
Implementation Timeline(weeks)
2-4 weeks
6-12 weeks
Deployment Models Supported(count)
1 option (SaaS cloud-only)
—
Time to Production(days)
14-28 days (self-hosted)
—
Setup Time (Basic Deployment)(minutes)
60-120 minutes
—
Maximum Data Volume per Cluster(TB)
Multi-tenant SaaS limit (typically 50-500TB per org)
Petabyte-scale (1000+ TB)
Maximum Cluster Nodes(nodes)
Unlimited (enterprise only)
—
Maximum Recommended Cluster Size(nodes)
1,000+ (tested to 10,000 with advanced tuning)
—
Ingest Rate (Typical)(events per second)
500,000+ EPS per cluster
—
Maximum Practical Index Size(GB)
Petabyte-scale (unlimited)
—
Show 3 more attributes
Maximum Recommended Data Scale(documents)
1+ Billion (across clusters)
—
Maximum Dataset Size (Practical Limit)(TB)
Unlimited (petabyte-scale)
—
Maximum Practical Dataset Size(petabytes)
5+ PB (operational limit)
—
Deployment Options(count)
SaaS only (cloud-hosted)
Self-hosted, SaaS (Elastic Cloud), or Kubernetes
Customization Depth (1-10 scale)(score)
9/10 (plugins, analyzers, scripting)
—
Average Customer Onboarding Time(hours)
3-7 days
30-90 days
Code-Level Instrumentation Depth(null)
Method-level profiling
—
Automatic Anomaly Detection(null)
Rule-based thresholds
—
Average MTTR Improvement(percent reduction)
35-45% reduction
—
Mean Time to Resolution (MTTR) Improvement(percentage reduction)
30-40% faster (manual investigation)
Depends on manual investigation
Monthly Platform Cost (100GB/month ingestion)(USD)
$3,000-$9,900
—
Minimum Monthly Cost (Small Org)(USD)
$500-$800 typical (based on ~1-2 GB/day ingestion)
—
Supported Programming Languages (APM)(languages)
10+ languages
—
Setup Time for Multi-Service Environment(days)
7-14 days (manual per service)
—
Free Trial Period(days)
14 days unlimited
—
Average Implementation Time(days)
3-4 days
—
User Satisfaction Score (G2 Reviews)(out of 5.0)
4.6 stars (1,800+ reviews)
—
Global Customer Base(millions)
16,000+ customers
—
Data Source Integrations Available(count)
~700 integrations (includes agents, APIs, partners)
—
Supported APM Frameworks(count)
900+ with automatic instrumentation
—
Enterprise Support SLA
24/7 with 1-4 hour response SLA depending on tier
—
Community Support Response Time(hours)
12-48 (community forums)
—
Support SLA Response Time(hours)
Community-based or 4+ hours (enterprise)
—
User Seats Included (Starter)(seats)
Full team access included; per-user pricing optional
—
Third-party Integrations(count)
600+ integrations
2000+
Available Integrations(count)
600+
1000+ plugins/integrations
GitHub Stars (Community Size Proxy)(stars)
68,000+
—
API Call Rate Limit (Standard Plan)(calls per minute)
600 calls/minute
—
Code-Level Diagnostics Depth(granularity level)
Transaction tracing, error stack traces
—
Customer Satisfaction (G2 Rating)(stars)
4.6 stars (2,400+ reviews)
—
Free Tier Event Limit(events/month)
100 GB ingestion/month
—
Minimum Paid Plan Cost(USD/month)
$99/month
—
Native Integrations(count)
400+
—
APM Transaction Sampling Interval(seconds)
8 seconds
—
Free Tier Data Retention(days)
1 day
30+ days (self-hosted)
Default Data Retention(days)
13 days (metrics) / 8 days (events)
Unlimited (configurable)
Error Deduplication Effectiveness(percent)
75% noise reduction
—
Query Response Time (1B records)(milliseconds)
50-200ms
—
Max Ingestion Throughput(events/second)
75,000
—
Show 13 more attributes
Query Latency (50th percentile)(milliseconds)
300
—
P99 Query Latency(milliseconds)
100-500ms
—
Average Time to Root Cause (MTTR)(minutes)
45-120 (manual investigation required)
—
Average Query Latency(milliseconds)
47ms
—
Bulk Indexing Performance(%)
65 docs/sec per thread
—
Query Latency (p99)(milliseconds)
50-200ms
—
API Response Time for Simple Search(milliseconds)
100-300ms
—
Minimum Memory Requirement(MB)
2-4 GB
—
Query Latency (p95 on 1M docs)(milliseconds)
50-200 ms
—
Query Performance on 1TB Index(milliseconds)
100-2000ms (depends on tuning)
—
Memory Usage (Baseline Configuration)(MB)
512 MB
—
Search Latency (99th Percentile)(ms)
150 ms
—
Typical Query Latency (1B rows, GROUP BY)(milliseconds)
500-2000ms
—
Kubernetes Monitoring Capabilities(text)
Advanced cluster intelligence with pod diagnostics
—
Average Setup Time(minutes)
3-5 days
—
API Complexity(learning effort)
Complex Query DSL requiring technical expertise
—
Average Customer Satisfaction (G2 Rating)(stars)
4.3/5.0 (2,100+ reviews)
—
SDK Size (JavaScript)(KB gzipped)
~35 KB
—
GitHub Stars (Community Traction)(thousands)
~5k stars
—
GitHub Stars(stars)
65,800
—
GitHub Community Size(stars)
68,000+ stars
—
Built-in Compliance Certifications(count)
0 (requires custom hardening)
—
Machine Learning Use Cases Included(count)
3 (anomaly detection, forecasting, outlier detection)
—
Aggregation Types Supported(count)
40+ aggregation types
—
Data Compression Ratio (metrics)(ratio)
4:1
—
Data Retention Default(months)
Unlimited (storage-dependent)
—
Minimum Cluster Node Count(nodes)
2
—
Replication Setup Time(minutes)
5-10 minutes
—
Infrastructure Management Requirement
Requires DevOps expertise
—
Infrastructure Management Overhead(hours per month)
1.0-2.0 FTE
—
Infrastructure Setup Complexity(DevOps hours)
80-200 hours (extensive)
—
Show 3 more attributes
Required Infrastructure Team Size (100 users)(FTEs)
2-3 (cluster management + optimization)
—
Typical Deployment Complexity(relative score)
Low-Medium (simpler operations)
—
Minimum Required DevOps FTE(people)
2-4 full-time engineers
—
Memory Overhead (1M events)(MB per node)
250
—
Data Compression Ratio(x compression)
2-4x
—
Index Size to Data Ratio(multiplier)
0.5-2x
—
SQL Support
SQL via plugin (Elastic SQL), primary is Query DSL
—
Typical Memory Per Node(GB)
32-64GB for equivalent throughput
—
GitHub Stars (as of 2026)(stars)
66,000+
—
Total Cost of Ownership (Year 1)(USD)
$0-$10,000 (self-hosted) or $20,000-$60,000 (managed)
—
Annual Commercial Support Cost(USD)
$5,000-$50,000
—
Annual Infrastructure Cost (100M docs)(USD)
$50,000-150,000
—
Total Cost of Ownership (3-year, 500GB/month ingestion)(USD)
$120,000 (self-hosted licensing + 2 FTEs infrastructure)
—
Annual Cost for 500GB/day Ingestion(USD)
$180,000-$240,000
—
Show 1 more attribute
Data Retention Cost per GB/month(USD)
$0.50-$1.50
—
Enterprise Market Share(%)
66%
—
Time to First Production Deployment(days)
14-28 days
—
Average Time to Value(days)
14-30 days
—
Setup Complexity (1-10 scale)(complexity score)
8/10 (requires DevOps expertise)
—
GitHub Stars (Community Size)(stars)
~60,000 stars
—
Enterprise Market Share (2024)(%)
70%
—
Time to First Production Insight(days)
14-30 days
—
AI-Powered Root Cause Analysis(native capability)
Requires third-party integrations
—
Query Language Flexibility(flexibility score)
Full Elasticsearch Query DSL and custom scripts
—
Community Size & Resources(active contributors)
1M+ active developers
—
Supported Data Types(types)
Logs, metrics (via plugins), custom JSON data
—
Query Language Expressiveness(languages supported)
Lucene, KQL, SQL, JavaScript
—
Community Size(millions of users)
180,000+ (open-source)
—
Production Deployments (Estimated)(count)
500,000+ companies worldwide
—
Full-Text Search Optimization
Native, highly optimized (primary feature)
—
Real-Time Ingestion Support
Via Beats and Logstash (indirect)
—
SLA Uptime Guarantee(percent)
Varies by deployment (self-hosted: customer responsibility)
—
Open-Source
Yes (SSPL/Elastic License)
—
Pros & Cons
10 pros·6 cons across both
NR
E
NR
New Relic
+5-3
Pros
- 500+ pre-built integrations reduce setup time from weeks to hours
- AI-powered anomaly detection automatically identifies performance issues before users report them
- Real-time transaction tracing across microservices with full request context
- Unified dashboard for metrics, logs, and traces without switching tools
- Expert customer support with dedicated account managers on higher tiers
Cons
- Data retention limited to 8 days on standard plan, requiring paid upgrades for longer retention
- Pricing can exceed $10,000/month for large-scale deployments with high data volume
- Vendor lock-in makes migration to competing tools costly and complex
E
Elasticsearch
+5-3
Pros
- Free and open-source with full source code transparency and no vendor lock-in
- Unlimited data retention controlled entirely by your infrastructure budget
- Highly customizable for specialized search and analytics use cases
- Powerful full-text search capabilities with 300+ language analyzers
- Operates on-premises or in any cloud, avoiding proprietary platforms
Cons
- Requires significant operational expertise—managing clusters, tuning performance, and handling upgrades demands dedicated DevOps staff
- No built-in APM or application performance monitoring without additional tools like APM Server
- Steep learning curve for query language (Query DSL) makes rapid dashboard creation difficult for non-engineers
Frequently Asked Questions
5 questions
Elasticsearch alone cannot provide APM features. You would need to deploy Elastic APM Server alongside it, which adds complexity and requires additional configuration. New Relic includes APM natively. For pure log analysis and search, Elasticsearch excels; for full-stack observability, New Relic is purpose-built.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
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Wikipedia
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