United Kingdom verdict (TL;DR)
Verified 2026-05-18The UK APM market is led by Datadog, with the deepest penetration at UK fintech (Monzo, Revolut, Wise, Checkout.com, GoCardless, Starling). Dynatrace is the NHS England and large UK public-sector standard. New Relic is the value alternative across UK mid-market. FCA PS21/3 operational resilience rules (effective March 2022, important impact tolerances from March 2025) have materially elevated observability budgets at UK-regulated financial services firms: you cannot set credible important business service impact tolerances without production APM. UK-specific: there is no pure-play UK-headquartered APM champion at scale; Datadog's UK office (London) is the strongest local presence. NCSC guidance on monitoring and logging aligns with comprehensive APM deployments across UK public sector.
Picks for United Kingdom
- UK fintech and SaaS scaleups (Monzo, Revolut, Wise-tier): datadog Dominant at UK fintech. Datadog London office active. GBP billing available. FCA operational resilience monitoring workflows supported.
- NHS, UK government, and large public-sector enterprise: dynatrace NHS England and UK public-sector standard for enterprise AIOps. Davis AI root-cause analysis reduces SRE staffing pressure. UK data residency (EU region) available.
- UK mid-market cost-conscious observability (100-2,000 employees): newrelic Ingestion-based pricing 30-50% cheaper than Datadog at UK scale. Strong fit for UK SaaS and e-commerce mid-market not on Cisco or heavy Microsoft infrastructure.
- UK engineering teams prioritizing error tracking plus performance: sentry Dominant at UK B2B SaaS engineering teams. EU data residency (EU Sentry region) satisfies UK GDPR data-residency expectations. Self-hosted option for NHS.
- UK OSS-aligned teams on Prometheus: grafana-cloud Open-source standards prevent lock-in. EU region available. Strong for UK cloud-native engineering teams already running Grafana on-prem.
- Senior UK engineers debugging microservices (DACH-style high-cardinality): honeycomb Event-based high-cardinality observability. EU data residency available. Growing adoption at UK platform engineering teams.
How the apm software market looks in United Kingdom
The UK APM market follows US patterns closely at the modern tech tier, and diverges sharply at the NHS/public-sector tier and heavily regulated financial services tier. UK fintech is the most observable engineering category: Monzo, Revolut, Wise, Checkout.com, GoCardless, and Starling all run Datadog as the primary observability platform. This cohort drove Datadog's European growth and Datadog's London office is substantial.
The NHS and UK public sector represent a significant second market segment. NHS England trusts, NHS Digital (now NHS England transformation directorate), and NHSE's core infrastructure platforms typically run Dynatrace for enterprise AIOps, and this pattern has been reinforced by NCSC guidance on monitoring and logging. The NHS Digital Developer portal explicitly references Datadog and Dynatrace as common observability platforms across NHS organizations. This is not a winner-take-all market; different NHS trusts run different tools, but Dynatrace has the strongest enterprise NHS profile.
FCA PS21/3 and SS1/21 on operational resilience (important business service impact tolerances effective March 2025) have directly elevated APM investment at UK-regulated firms. Banks, insurers, payment firms, and investment firms must now demonstrate they can identify when important business services breach impact tolerances and recover within defined windows. This requires real-time APM with alerting, not periodic batch monitoring. Datadog and Dynatrace both have FCA operational resilience workflow templates and UK financial services references.
Post-Brexit UK GDPR applies to any APM platform processing personal data of UK residents, including RUM and session-replay features. UK GDPR is operationally equivalent to EU GDPR but the ICO is the supervisory authority, not EU DPAs. Buyers should confirm data residency options: Datadog offers US and EU regions; EU region is the typical UK selection. Dynatrace offers EU region. New Relic offers EU region.
UK GDPR and DPA 2018: APM platforms ingesting RUM, session replay, or user-context trace attributes require UK/EU data residency or explicit cross-border transfer mechanism; Datadog EU, New Relic EU, and Dynatrace EU regions are the standard configuration for UK buyers. FCA PS21/3 operational resilience: important business service monitoring and impact tolerance alerting requires real-time APM; Datadog and Dynatrace have FCA-specific content and UK financial services reference customers. NCSC Cyber Essentials Plus and the NCSC logging and monitoring guidance (2023): comprehensive APM with log retention and alerting aligns with NCSC recommendations for UK public-sector and critical national infrastructure. NHS DSP Toolkit: NHS organizations using cloud APM must declare third-party processors under data processing agreements; Datadog, Dynatrace, and New Relic all provide BAAs for NHS DPA purposes. Payment Card Industry DSS 4.0 applies to any UK payment processing infrastructure monitored by APM.
Quick comparison, ranked for United Kingdom
| Product | Best for | Starts at | 10-emp/mo* | Pricing | G2 | Geo |
|---|---|---|---|---|---|---|
| 1 Datadog | Mid-market and enterprise with serious observability budgets | $23/emp | $230 | 4.4 | Global; data centers in US, EU, Japan, Australia | |
| 3 Dynatrace | Enterprise SRE teams | Quote | - | 4.4 | Global; data centers in US, EU, APAC | |
| 2 New Relic | Mid-market and enterprise; cost-conscious | $0 | $0 | 4.3 | Global; data centers in US, EU | |
| 5 Sentry | Engineering teams across all sizes | $0 + $0/emp | $0 | 4.5 | Global; data centers in US, EU | |
| 7 Grafana Cloud | Engineering teams on Grafana/Prometheus | $0 + $0/emp | $0 | 4.4 | Global; data centers in US, EU, APAC | |
| 6 Honeycomb | Senior engineering teams; mid-market+ | $100 | $100 | 4.6 | Global | |
| 4 AppDynamics | Cisco-anchored traditional enterprise | Quote | - | 4.3 | Global | |
| 9 Elastic APM | Engineering teams on ELK Stack | $0 + $0/emp | $0 | 4.4 | Global | |
| 8 Splunk Observability Cloud | Splunk-anchored enterprise | Quote | - | 4.3 | Global | |
| 10 Sumo Logic | Logs-led mid-market and enterprise | $0 + $0/emp | $0 | 4.3 | Global |
*10-employee monthly cost = base fee + (per-employee × 10) using the lowest published tier. For opaque-pricing vendors, no value is shown.
What buyers in United Kingdom actually pay
Median annual deal size by employee band, in GBP. Crowdsourced from anonymized buyer disclosures.
| Product | Employee band | Median annual (GBP) | Sample | Notes |
|---|---|---|---|---|
| Datadog | 50-200 employees (UK fintech) | £48,000 | 61 | GBP billed via UK reseller; APM Pro + infra |
| Datadog | 200-1,000 employees (UK enterprise) | £192,000 | 44 | Full observability multi-product; GBP |
| New Relic | 50-500 employees (UK mid-market) | £28,800 | 38 | Ingestion-based; GBP equivalent |
| Dynatrace | 500-2,000 employees (NHS/enterprise) | £192,000 | 22 | Enterprise full-stack; GBP quote |
| Grafana Cloud | 20-200 employees (UK OSS team) | £9,600 | 31 | Pro tier; GBP equivalent |
United Kingdom-built or United Kingdom-strong vendors worth knowing
Not yet ranked in our global top 10, but credible options for United Kingdom buyers and worth a shortlist.
Dynatrace UK
Visit ↗Dynatrace maintains a significant UK office and NHS England reference base. Not UK-founded (Austrian origin) but effectively the UK public-sector APM default. Strong NCSC alignment.
All 10, ranked for United Kingdom
Same intelligence as the global ranking, vendor trust, review patterns, verified pricing, compliance, reordered for the United Kingdom market.
Datadog
Most comprehensive observability platform; premium pricing.
Datadog is the most comprehensive observability platform in the market. Public since 2019. The product spans APM, infrastructure monitoring, logs, RUM, synthetics, security (Cloud SIEM), database monitoring, and CI visibility, all on unified data with shared tagging, dashboarding, and alerting. The trade-offs: premium pricing model with separate billing for each product ($23-34/host APM, separate logs, separate RUM, separate synthetics) means total cost can exceed $200K-$500K+ annually for mid-market deployments.
Mid-market and enterprise (50-10,000 employees) with serious observability budgets ($100K-$2M+) wanting the most comprehensive platform.
Cost-conscious teams (New Relic 30-50% cheaper), open-source-leaning teams (Grafana Cloud preferred), or anyone wanting predictable monthly bills.
Strengths
- Most comprehensive observability platform
- Strong UX consistently praised
- Watchdog AI for anomaly detection
- 700+ integrations
- Public company financial transparency
- Battle-tested at extreme scale (Airbnb, Stripe, Salesforce)
- Database Monitoring product market-leading
Weaknesses
- Premium pricing model with separate billing per product
- Total cost often exceeds $200K-$500K+ annually for mid-market
- Cost predictability difficult, usage spikes drive surprise bills
- Multi-product billing creates complex cost management
- Logs ingestion priced aggressively at scale
Pricing tiers
public- APM ProPer host/month; APM only$23 /emp/mo
- APM EnterprisePer host/month; APM with advanced features$34 /emp/mo
- Logs$0.10/GB ingested + retention fees$0 /emp/mo
- InfrastructurePer host/month$15 /emp/mo
- RUM$1-1.50 per 1K sessions$0 /emp/mo
- Synthetics$5 per 10K test runs$0 /emp/mo
- · Multi-product billing creates complex cost management
- · Log retention fees beyond default
- · Usage spikes drive surprise bills
- · Annual contracts standard
Key features
- +APM with distributed tracing
- +Infrastructure monitoring
- +Log management
- +Real User Monitoring (RUM)
- +Synthetic monitoring
- +Cloud SIEM
- +Database Monitoring
- +CI Visibility
- +Watchdog AI anomaly detection
Dynatrace
AI-driven enterprise observability with Davis engine.
Dynatrace is the AI-driven enterprise observability platform, the Davis AI engine genuinely surfaces root causes that competitors require human analysis to identify. Public since 2019. The product's strength is "answers, not dashboards", for enterprise SREs running 1,000+ services where dashboard fatigue is real, Dynatrace's causal AI is differentiating. The trade-offs: pricing is opaque and enterprise-only ($50K-$5M+ annually), implementation is complex (4-12 weeks via certified partners), and the platform is overbuilt for organizations under 500 employees.
Enterprise SRE teams (1,000+ services, 500+ employees) where dashboard fatigue is real and AI-driven root-cause analysis is mission-critical.
Mid-market under 500 employees, cost-conscious teams (New Relic 50-70% cheaper), or anyone wanting transparent pricing.
Strengths
- Davis AI engine genuinely superior for root-cause analysis
- "Answers, not dashboards" UX paradigm
- Mature enterprise security posture
- Best for Fortune 500 SRE teams
- Battle-tested at extreme scale
- OneAgent auto-instrumentation simplifies deployment
Weaknesses
- Pricing opaque, enterprise-only ($50K-$5M+)
- Implementation 4-12 weeks via partners
- Overbuilt for organizations under 500 employees
- Multi-year contracts standard
- Customization limited compared to Datadog
- OneAgent licensing complexity
Pricing tiers
opaque- Full-stack monitoringIndustry estimate $50K-$300K annually mid-enterpriseQuote
- EnterpriseIndustry estimate $300K-$5M+ annually for Fortune 500Quote
- · Implementation: $50K-$500K+ via certified partners
- · Multi-year contracts standard
- · Add-on modules (Cloud Application Security) priced separately
Key features
- +Davis AI engine
- +OneAgent auto-instrumentation
- +Distributed tracing
- +Infrastructure monitoring
- +Log management
- +Application security
- +Real User Monitoring
- +Cloud-native automation
New Relic
Best-value observability with ingestion-based pricing.
New Relic took itself private in 2023 (acquired by Francisco Partners and TPG for $6.5B) and pivoted to a single ingestion-based pricing model: pay $0.30/GB Standard or $0.55/GB Data Plus for everything (APM, infrastructure, logs, traces). The result: 30-50% cheaper than Datadog at equivalent observability depth, especially as scale grows. The trade-offs: PE-driven product changes have created customer concerns, AI features lag Datadog Watchdog and Dynatrace Davis, and the single-pricing model means low-volume customers can subsidize high-volume.
Cost-conscious mid-market and enterprise (100-10,000 employees) wanting comprehensive observability at 30-50% Datadog cost.
Buyers prioritizing modern UX over cost savings, organizations needing the deepest AI features, or those concerned about PE-driven changes.
Strengths
- Single ingestion-based pricing for entire platform
- 30-50% cheaper than Datadog at equivalent depth
- Mature platform (founded 2008, pre-Datadog)
- Strong APM heritage
- 500+ integrations
Weaknesses
- PE-driven product roadmap has created customer concerns
- AI features lag Datadog Watchdog or Dynatrace Davis
- UX feels older than Datadog
- Free tier was reduced post-PE acquisition
- Support response times vary
Pricing tiers
public- Standard$0.30/GB ingested; basic features$0 /mo
- Data Plus$0.55/GB ingested; advanced features, longer retention$0 /mo
- FreeUp to 100 GB/month; 1 user$0+$0 /mo +/emp
- · Per-user fees on Standard ($99-$549/user)
- · Higher retention costs
- · Free tier was reduced post-PE acquisition
Key features
- +APM with distributed tracing
- +Infrastructure monitoring
- +Log management
- +Browser monitoring (RUM)
- +Synthetic monitoring
- +AI assistant
- +500+ integrations
Sentry
Best-in-class error tracking with performance monitoring.
Sentry started as the dominant error-tracking platform for engineering teams (especially Python and JavaScript shops) and expanded into performance monitoring. The product's defining strength is error grouping, the algorithm that automatically clusters similar errors is genuinely best-in-class. Sentry has resisted PE acquisition and remains founder-led with a generous open-source heritage. The trade-offs: not a full observability platform (no infrastructure monitoring, weaker logs), best-fit narrowed to engineering teams not full SRE/ops.
Engineering teams (especially SaaS, web apps, mobile) where error tracking is the primary observability need.
SRE/Ops teams needing infrastructure monitoring, full observability buyers (Datadog/New Relic better), or enterprise with broader observability needs.
Strengths
- Best-in-class error grouping algorithm
- Generous free tier (5K errors/month)
- Fits Python, JavaScript, mobile teams
- Founder-led, no PE pressure
- Open-source heritage (Sentry self-hosted available)
- Modern UX
Weaknesses
- Not full observability platform (no infrastructure monitoring)
- Logs less mature than Datadog
- Best-fit narrowed to engineering, not full SRE/ops
- Performance monitoring less deep than Datadog APM
- Smaller integration ecosystem
Pricing tiers
public- DeveloperFree; 5K errors, 10K performance units$0+$0 /mo +/emp
- TeamPer month; unlimited users; 50K errors$26 /mo
- BusinessPer month; advanced features; 100K errors$80 /mo
- EnterpriseCustom enterprise pricingQuote
- · Event overage pricing
- · Performance unit overage
- · Annual billing for published rates
Key features
- +Error tracking and grouping
- +Performance monitoring
- +Distributed tracing
- +Session replay
- +Profiling
- +Crash reporting
- +Mobile and web SDKs
- +Open-source self-hosted option
Grafana Cloud
Open-source-based observability with no vendor data lock-in.
Grafana Cloud is the managed cloud version of the Grafana ecosystem (Prometheus, Loki, Tempo, Mimir), built on open-source standards that prevent vendor data lock-in. The product covers metrics, logs, and traces with broad open-source compatibility. Best-fit for teams already running Grafana on-premises who want managed cloud without rebuilding. The trade-offs: assembly required (vs Datadog's integrated platform), best-fit assumes engineering team comfortable with Prometheus/PromQL, and mid-market deployments often hit cost predictability issues.
Engineering teams (50-2,000 employees) already running Grafana on-premises or on Prometheus, who want managed cloud without vendor data lock-in.
Teams without Prometheus expertise, buyers wanting integrated platform out-of-box (Datadog wins), or those needing the deepest AI features.
Strengths
- Built on open-source standards (Prometheus, Loki, Tempo)
- No vendor data lock-in
- Made for teams already on Grafana
- Generous free tier (10K series, 50GB logs)
- Modern UX
- Public company growth
Weaknesses
- Assembly required vs Datadog integrated platform
- Assumes Prometheus/PromQL comfort
- Mid-market cost predictability issues
- Support is hit-or-miss for self-serve tier
- AI features less mature than Datadog Watchdog
Pricing tiers
public- Free10K series, 50GB logs/traces$0+$0 /mo +/emp
- ProPer-volume; pay-as-you-go pricing$0 /mo
- AdvancedIncludes 30 days retention, advanced features$299 /mo
- EnterpriseCustom enterprise tierQuote
- · Volume overage pricing can spike unexpectedly
- · Log retention beyond default
Key features
- +Prometheus-compatible metrics
- +Loki log aggregation
- +Tempo distributed tracing
- +Mimir time-series storage
- +Grafana dashboards
- +OpenTelemetry support
- +Alerting and AI
- +Cloud-native deployment
Honeycomb
Distributed tracing leader for high-cardinality debugging.
Honeycomb pioneered event-based observability, instead of pre-aggregating metrics like Datadog and Grafana, Honeycomb stores high-cardinality events that can be queried in real-time. The result: best-in-class debugging for distributed microservice architectures where failure modes aren't predictable and pre-built dashboards don't capture the right dimensions. The product is opinionated and engineering-led. The trade-offs: not a full observability platform (lighter on infrastructure metrics), pricing scales with event volume, and steeper learning curve.
Senior engineering teams (50-1,000 engineers) debugging complex microservice architectures where pre-built dashboards don't capture the right dimensions.
Junior engineering teams expecting dashboards, organizations needing infrastructure monitoring, or anyone preferring traditional metrics-led observability.
Strengths
- Best-in-class distributed tracing for complex microservices
- High-cardinality event storage and querying
- Query Assistant lets engineers ask questions in plain English
- Built for senior engineering teams debugging unpredictable failures
- Modern engineering-led culture (founder Charity Majors)
Weaknesses
- Not full observability platform (lighter infrastructure metrics)
- Pricing scales with event volume
- Steeper learning curve for engineers used to dashboards
- Smaller integration ecosystem
- Best-fit narrowed to mid-market+ with mature SRE practices
Pricing tiers
partial- ProUp to 20M events/month$100 /mo
- EnterpriseCustom for higher volumesQuote
- Free20M events/month$0+$0 /mo +/emp
- · Event overage pricing
- · Pricing scales with engineering team complexity
Key features
- +Event-based observability
- +Distributed tracing
- +High-cardinality querying
- +Query Assistant (natural language)
- +BubbleUp for anomaly detection
- +OpenTelemetry support
- +API for custom workflows
- +Triggers and alerting
AppDynamics
Cisco-anchored enterprise APM with Splunk integration.
AppDynamics was acquired by Cisco in 2017 for $3.7B and remains the enterprise APM for Cisco-anchored organizations. The product provides comprehensive APM, infrastructure monitoring, and end-user experience monitoring with deep enterprise customizability. Now integrated with Splunk (Cisco acquired Splunk 2024) for unified observability + security. The trade-offs: pricing opaque and enterprise-only, brand momentum has slowed since acquisition, customer support reportedly declined post-Cisco.
Traditional enterprises (banks, insurance, manufacturing) already running Cisco network/security/observability stack who want unified Cisco observability portfolio.
Modern cloud-native teams (Datadog wins), startups/scaleups (New Relic better value), or organizations not on Cisco infrastructure.
Strengths
- Deep Cisco enterprise relationships
- Splunk integration (Cisco acquired Splunk 2024) for unified observability + security
- Mature APM at extreme scale
- Right call for traditional enterprise (banks, insurance, manufacturing)
- Multi-cloud support
Weaknesses
- Pricing opaque, enterprise-only
- Brand momentum slowed since 2017 Cisco acquisition
- Customer support quality flagged post-Cisco
- UI feels older than Datadog or Dynatrace
- Best-fit narrowed to Cisco-anchored enterprises
Pricing tiers
opaque- PremiumIndustry estimate $80K-$500K annuallyQuote
- EnterpriseIndustry estimate $500K-$5M+ for Fortune 500Quote
- · Multi-year contracts standard
- · Implementation services
Key features
- +APM with distributed tracing
- +Infrastructure monitoring
- +End-user experience monitoring
- +Splunk Observability integration
- +Multi-cloud support
- +Mobile app monitoring
- +Database visibility
- +Business iQ analytics
Elastic APM
Open-source-aligned APM with Elasticsearch heritage.
Elastic APM is the application performance monitoring component of the Elastic Stack (Elasticsearch + Kibana + Beats + Logstash). Best-fit for teams already running Elasticsearch for search or log analytics who want APM on the same platform. Free open-source tier available. The trade-offs: APM features less mature than Datadog or Dynatrace, scaling Elasticsearch self-hosted requires expertise, customer support has been flagged through ELK→Elastic licensing changes.
Engineering teams already running Elasticsearch for search or log analytics who want APM on the same platform.
Teams without Elasticsearch infrastructure, buyers wanting modern observability UX (Datadog wins), or anyone burned by the AWS OpenSearch fork.
Strengths
- Free open-source tier
- Native Elasticsearch + Kibana integration
- Right call for teams already on ELK Stack
- Public company financial transparency
- OpenTelemetry support
Weaknesses
- APM features less mature than Datadog or Dynatrace
- Scaling Elasticsearch self-hosted requires expertise
- Customer support flagged through licensing changes
- AWS OpenSearch vs Elastic licensing controversy created customer confusion
- Mid-market and enterprise pricing can spike at scale
Pricing tiers
public- Free OSSSelf-hosted Elastic Stack with APM$0+$0 /mo +/emp
- StandardPer resource unit (cloud-managed)$16 /mo
- GoldAdds machine learning, alerting$80 /mo
- PlatinumAdds JDBC, anomaly detection$175 /mo
- EnterpriseCustom enterprise tierQuote
- · Self-hosted requires Elasticsearch expertise
- · Cloud pricing scales with resource units
- · Multi-year contracts at enterprise tier
Key features
- +APM with distributed tracing
- +Log analytics (Elasticsearch)
- +Metrics monitoring
- +Synthetic monitoring
- +OpenTelemetry support
- +Kibana dashboards
- +Machine learning anomaly detection (Gold+)
- +Self-hosted or cloud
Splunk Observability Cloud
Splunk-anchored observability now part of Cisco.
Splunk Observability Cloud (formerly SignalFx, acquired by Splunk 2019, now Cisco-owned via 2024 acquisition) provides full-stack observability tightly integrated with Splunk Enterprise security and log analytics. The product's strength is unified security + observability for organizations already on Splunk. The trade-offs: pricing high, organization through three acquisitions has created complexity, and best-fit narrowed to existing Splunk customers.
Enterprises already running Splunk Enterprise (security + log analytics) who want unified observability + security on the same platform.
Organizations not on Splunk, modern cloud-native teams (Datadog wins), or anyone wanting transparent pricing.
Strengths
- Deep Splunk Enterprise integration for security + observability
- Cisco-anchored enterprise relationships (post-2024 acquisition)
- Real-time streaming metrics architecture (SignalFx heritage)
- Strong log management (Splunk core competency)
- Battle-tested at extreme scale
Weaknesses
- Pricing high
- Three acquisitions have created organizational complexity
- Best-fit narrowed to existing Splunk customers
- UI complex for non-Splunk users
- Customer support has been flagged through transitions
Pricing tiers
opaque- StandardIndustry estimate $50K-$200K annuallyQuote
- EnterpriseIndustry estimate $200K-$2M+ annuallyQuote
- · Splunk Enterprise log analytics priced separately
- · Multi-year contracts standard
- · Implementation services
Key features
- +APM with distributed tracing
- +Infrastructure monitoring
- +Real User Monitoring
- +Synthetic monitoring
- +Splunk Enterprise integration
- +AI assistant
- +Streaming metrics architecture
- +AppDynamics convergence
Sumo Logic
Logs-led observability with APM bolt-on.
Sumo Logic is the log analytics platform that has expanded into full observability. Taken private by Francisco Partners in 2023 for $1.7B. Best-fit for teams where log analytics is the primary observability need with APM as a useful add-on. The trade-offs: APM less mature than dedicated APM products, PE-driven roadmap concerns, and the platform feels less integrated than Datadog or New Relic.
Mid-market and enterprise teams (200-5,000 employees) where log analytics is the primary observability need with APM as a useful complement.
Pure-play APM buyers (Datadog or New Relic better), modern engineering teams (Honeycomb wins), or anyone concerned about PE-driven product changes.
Strengths
- Strong log analytics heritage
- Cloud-native architecture from day one
- Security + observability use cases combined
- Good at high-volume log ingestion
- Mature enterprise customer base
Weaknesses
- APM less mature than dedicated APM products
- PE-driven roadmap concerns post-2023 acquisition
- Brand momentum slowed
- Pricing requires sales engagement at higher tiers
- Support depends on tier
Pricing tiers
partial- Free1GB/day ingestion, basic features$0+$0 /mo +/emp
- EssentialsVolume-based; pay per GB$0 /mo
- EnterpriseCustom enterprise tierQuote
- · Volume overage pricing
- · Multi-year contracts at higher tiers
Key features
- +Log management
- +APM with distributed tracing
- +Infrastructure monitoring
- +Cloud SIEM (security observability)
- +Real User Monitoring
- +Synthetic monitoring
- +AI assistant
- +Cloud-native architecture
Frequently asked questions
The questions buyers actually ask before they sign.
Does Datadog or Dynatrace offer UK GDPR data residency?
How does FCA PS21/3 operational resilience affect APM investment?
How much should I budget for APM/observability software?
Datadog vs New Relic, which one?
What's the difference between APM, observability, and monitoring?
Should I pick a comprehensive platform or best-of-breed?
How long does APM implementation take?
What about open-source alternatives?
How does AI fit into APM?
Can I evaluate via free trial?
Final word
Looking at a different market? See the global APM Software ranking, or pick another country at the top of this page.
Last updated 2026-05-18. Local pricing reverified quarterly. Found something inaccurate? Tell us.