Splunk Observability Cloud vs Datadog vs New Relic: Enterprise Comparison for 2026

Choosing an observability platform is a decision that shapes how your engineering team operates for years. The three dominant enterprise options — Splunk Observability Cloud, Datadog, and New Relic — each have distinct strengths, pricing models, and architectural approaches. This comparison is based on real deployment experience across Indian enterprise environments where we have implemented all three platforms.

Platform Overview

Splunk Observability Cloud

Built on the SignalFx acquisition ($1.05 billion, 2019), Splunk Observability provides APM, Infrastructure Monitoring, Real User Monitoring (RUM), Synthetic Monitoring, and Log Observer Connect. It is OpenTelemetry-native, meaning it accepts data from the open-source OpenTelemetry collectors and SDKs without requiring proprietary agents. The platform's signature differentiator is full-fidelity tracing — every single transaction is captured without sampling. Following Cisco's $28 billion acquisition of Splunk (March 2024), the platform benefits from Cisco's network telemetry integration.

Datadog

Datadog is a cloud-native monitoring and security platform that has grown from infrastructure monitoring to a comprehensive observability suite. It offers APM, Infrastructure Monitoring, Log Management, RUM, Synthetic Monitoring, Database Monitoring, Network Monitoring, and a growing security portfolio (Cloud SIEM, ASM, CSPM). Datadog's strength is the breadth of its platform — over 800 integrations and a unified UI that covers observability and security.

New Relic

New Relic pioneered APM and has evolved into a full-stack observability platform. It offers APM, Infrastructure Monitoring, Log Management, Browser Monitoring, Synthetic Monitoring, Mobile Monitoring, and AI Monitoring. New Relic's pricing model is consumption-based with a free tier that includes 100 GB/month of data ingest and one full-platform user — making it the most accessible entry point for evaluation.

Feature Comparison

Application Performance Monitoring (APM)

Splunk APM: Full-fidelity tracing (no sampling) — every transaction is captured. Service maps show real-time microservice dependencies. Span-level root cause analysis pinpoints exact failure points. Database Query Performance monitoring tracks slow queries. The no-sampling approach means you never miss the edge case that caused a production incident.

Datadog APM: Intelligent sampling retains statistically significant traces and error traces. Continuous Profiler identifies CPU/memory hotspots in production code. Service maps and dependency visualisation. Live processes monitoring. Datadog's sampling approach reduces storage costs but means you may not have the exact trace for a specific customer-reported issue.

New Relic APM: Distributed tracing with adaptive sampling. Code-level visibility with thread profiling. Service maps and dependency analysis. Errors Inbox for error tracking and triage. Vulnerability management integrated into APM. New Relic's sampling at scale means you rely on statistical representation rather than exact transaction capture.

Verdict: Splunk wins on trace completeness (full-fidelity, no sampling). Datadog wins on profiling and breadth of integrations. New Relic offers the best entry-level experience and vulnerability correlation.

Infrastructure Monitoring

Splunk Infrastructure: Real-time streaming metrics with second-level resolution. High-cardinality support for cloud-native environments with thousands of containers. 200+ cloud service integrations. Auto-discovery for dynamic infrastructure.

Datadog Infrastructure: Comprehensive cloud integration (AWS, Azure, GCP, Kubernetes, Docker). Host maps for visual infrastructure overview. Live processes monitoring. Network Performance Monitoring (NPM) for flow-level visibility. Container monitoring with Kubernetes-native dashboards.

New Relic Infrastructure: Host, container, and Kubernetes monitoring. Cloud integrations for major providers. On-host integrations for databases, message queues, and web servers. Infrastructure monitoring is included in the free tier (up to limits).

Verdict: Datadog leads in infrastructure monitoring breadth and Kubernetes-native features. Splunk offers the highest metric resolution (sub-second). New Relic provides the best free tier.

Pricing

Splunk Observability: Host-based pricing — $15/host/month (Infrastructure only), $60/host/month (APM + Infrastructure), $75/host/month (full observability). Predictable, based on host count.

Datadog: SKU-based pricing per product per host — Infrastructure ($15/host/month), APM ($31/host/month), Log Management (ingest + retention charges), RUM (per session), Synthetic ($5-12/test). Costs can escalate quickly when using multiple products.

New Relic: Consumption-based — $0.35/GB ingested (standard) or $0.55/GB (Data Plus). User pricing: core users free, full platform users from $49/month. Free tier includes 100 GB/month ingest. Most transparent pricing model of the three.

Verdict: New Relic is cheapest for small-to-mid deployments due to the generous free tier. Splunk offers the most predictable pricing (host-based, not usage-based). Datadog can be the most expensive at scale due to per-product SKU stacking.

Security + Observability Convergence

This is where Splunk has a unique advantage. Splunk Observability connects to Splunk Enterprise Security (SIEM) and Splunk SOAR through Log Observer Connect and shared data infrastructure. Security and operations teams can correlate application performance issues with security events — for example, identifying that a latency spike coincided with a DDoS attack, or that a suspicious API call pattern matches a known attack signature.

Datadog offers Cloud SIEM, ASM (Application Security Monitoring), and CSPM as part of its platform, but these are newer products with less SIEM maturity than Splunk ES. New Relic offers vulnerability management integrated into APM but does not have a SIEM product.

OpenTelemetry Support

Splunk: OpenTelemetry-native. The platform is designed from the ground up to accept OTel data. Splunk contributes actively to the OpenTelemetry project.

Datadog: Supports OpenTelemetry but recommends Datadog's own agent for full feature access. Some advanced features require the proprietary agent.

New Relic: Strong OpenTelemetry support. Accepts OTel data and provides good documentation for OTel instrumentation.

Which Should You Choose?

Choose Splunk Observability if: you need full-fidelity tracing (no sampling), your organisation already uses Splunk for SIEM and wants unified security + observability, or you want OpenTelemetry-native instrumentation to avoid vendor lock-in.

Choose Datadog if: you want the broadest feature coverage in a single platform (observability + security + CI/CD), your team is cloud-native with heavy Kubernetes usage, or you need network performance monitoring alongside application monitoring.

Choose New Relic if: you want the lowest cost entry point, your team prefers consumption-based pricing over host-based, or you need integrated vulnerability management with APM.

At Ogma, we deploy all three platforms based on our clients' specific requirements, existing tool stack, and budget. Learn about our Splunk Observability deployment or contact us for an observability platform evaluation.