7 Best Alternatives to New Relic API for Observability in 2026

Why look beyond New Relic API

New Relic offers a comprehensive full-stack observability platform, providing application performance monitoring (APM), infrastructure monitoring, logs, and distributed tracing. Its API ecosystem supports programmatic data ingestion, querying, and configuration management, enabling automation and integration into CI/CD pipelines. Teams often consider alternatives to New Relic API for several reasons, including cost optimization based on specific data ingestion patterns, a desire for a different user interface or data visualization approach, or a need for specialized features not prioritized in New Relic's core offering.

Some organizations may find New Relic's usage-based pricing model, primarily driven by data ingest volume and user type, becomes less economical as their data scales. Others might seek platforms with more robust open-source integrations or a stronger focus on specific niche monitoring areas, such as security or network performance, that may be offered as primary features by competitors. Additionally, the operational overhead of managing agents or specific data retention policies can influence a decision to explore other solutions that align more closely with an organization's existing cloud strategy or compliance requirements.

Top alternatives ranked

1. 1. Datadog — Cloud-native monitoring and security platform

   Datadog provides a unified platform for monitoring, security, and analytics across applications, infrastructure, and logs. It offers extensive integrations with cloud providers, servers, databases, and third-party tools, making it a strong contender for complex, distributed environments. Datadog's API supports metrics, events, logs, and traces, allowing developers to programmatically interact with their monitoring data and automate workflows. Its focus on real-time visibility and customizable dashboards enables teams to consolidate various monitoring needs into a single pane of glass.

   The platform's features include APM, infrastructure monitoring, log management, real user monitoring (RUM), synthetic monitoring, network performance monitoring, and security monitoring. Datadog's pricing is modular, allowing users to select and pay for only the components they need, which can be advantageous for organizations looking to scale specific aspects of their observability stack. The extensive range of integrations and its unified dashboard approach are key differentiators for teams managing diverse technology stacks.

   Best for:

   • Cloud-native environments with diverse integrations
   • Real-time visibility and customizable dashboards
   • Integrated security and performance monitoring

   Explore the Datadog API profile or visit the Datadog official website.

2. 2. Dynatrace — AI-powered observability and automation

   Dynatrace offers an AI-powered observability platform that provides automatic and intelligent monitoring of applications, infrastructure, and user experience. Its core strength lies in its OneAgent technology, which automatically discovers and maps all components of an application environment, providing deep code-level visibility without extensive manual configuration. Dynatrace's AI engine, Davis, automatically identifies the root cause of performance issues, reducing the mean time to resolution (MTTR).

   The platform encompasses APM, infrastructure monitoring, digital experience monitoring (DEM), log management, and AIOps capabilities. Dynatrace's API enables integration with existing toolchains, allowing for programmatic access to metrics, topology data, and problem notifications. Organizations often choose Dynatrace for its automation capabilities and its ability to provide actionable insights from complex data, particularly in large-scale enterprise environments where manual configuration and troubleshooting can be time-consuming.

   Best for:

   • Automatic root cause analysis with AI (Davis)
   • Deep code-level visibility with OneAgent
   • Enterprise-scale environments needing automation

   Visit the Dynatrace official website.

3. 3. Splunk — Data platform for security, observability, and operations

   Splunk provides a data platform designed for security, observability, and operations, allowing organizations to collect, index, search, and analyze machine-generated data from various sources. While traditionally known for its log management and SIEM capabilities, Splunk has expanded its offerings to include application performance monitoring (APM) through Splunk Observability Cloud (formerly SignalFx). Its strength lies in its ability to ingest and correlate massive volumes of data, making it suitable for complex troubleshooting and compliance needs.

   Splunk's API allows for programmatic data ingestion, search execution, and management of Splunk instances, enabling deep integration into custom applications and operational workflows. Users leverage Splunk for its powerful search language (SPL) and its ability to create custom dashboards and alerts. For organizations with significant existing investments in Splunk for security or IT operations, extending its use to observability can provide a unified data analytics experience across their entire operational footprint.

   Best for:

   • Large-scale log management and analytics
   • Security information and event management (SIEM)
   • Organizations with existing Splunk investments

   Visit the Splunk official website.

4. 4. AWS CloudWatch — Monitoring and observability for AWS resources and applications

   AWS CloudWatch is a monitoring and observability service built for DevOps engineers, developers, site reliability engineers (SREs), and IT managers. It provides data and actionable insights to monitor applications, respond to system-wide performance changes, and optimize resource utilization within AWS environments. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing a unified view of AWS resources, applications, and services running on AWS and on-premises.

   The CloudWatch API allows developers to publish custom metrics, retrieve metric data, create alarms, and automate responses to operational events. Its tight integration with other AWS services makes it a natural choice for organizations heavily invested in the AWS ecosystem, reducing the overhead of integrating third-party monitoring solutions. CloudWatch offers a cost-effective solution for monitoring AWS infrastructure and applications, with granular controls over data retention and alerting.

   Best for:

   • Monitoring applications and infrastructure within AWS
   • Seamless integration with other AWS services
   • Cost-effective observability for AWS-centric stacks

   Explore the AWS CloudWatch API reference or visit the AWS CloudWatch homepage.

5. 5. Google Cloud Operations (formerly Stackdriver) — Monitoring, logging, and tracing for GCP

   Google Cloud Operations, previously known as Stackdriver, is a suite of monitoring, logging, and tracing products designed for applications and infrastructure running on Google Cloud Platform (GCP) and hybrid cloud environments. It provides integrated observability across metrics, logs, and traces, offering insights into application performance, operational health, and resource utilization. The suite includes Cloud Monitoring, Cloud Logging, Cloud Trace, Cloud Profiler, and Cloud Debugger.

   Google Cloud Operations APIs enable programmatic access to monitoring data, log ingestion, trace management, and configuration of alerts. For organizations primarily operating within GCP, Cloud Operations offers native integration and a consistent experience, simplifying setup and management. Its capabilities extend to hybrid and multi-cloud environments, providing a flexible solution for diverse deployments while leveraging Google's infrastructure for data processing and analysis.

   Best for:

   • Monitoring applications and infrastructure on Google Cloud
   • Integrated logging, tracing, and profiling for GCP
   • Hybrid and multi-cloud environments with GCP focus

   Explore the Google Cloud Operations (Monitoring) documentation or visit the Google Cloud Operations homepage.

6. 6. Azure Monitor — Comprehensive monitoring for Azure and hybrid environments

   Azure Monitor is a comprehensive solution for collecting, analyzing, and acting on telemetry from Azure and on-premises environments. It enables users to understand the performance and availability of their applications and services by centralizing logs and metrics. Azure Monitor integrates with other Azure services like Azure Log Analytics and Application Insights, providing a deep level of observability for cloud-native applications and infrastructure.

   The Azure Monitor REST API allows developers to retrieve metrics, query logs, configure alerts, and manage diagnostic settings programmatically. For organizations heavily invested in the Microsoft Azure ecosystem, Azure Monitor offers native, integrated tooling that simplifies monitoring setup and management, aligning with their existing cloud strategy. It supports a wide range of Azure resources and provides capabilities for both infrastructure and application performance monitoring, making it a robust choice for Azure-centric development.

   Best for:

   • Monitoring applications and infrastructure within Azure
   • Integrated logging and application insights for Azure
   • Hybrid environments with a focus on Microsoft technologies

   Explore the Azure Monitor REST API documentation or visit the Azure Monitor homepage.

7. 7. Grafana, Loki, and Prometheus — Open-source observability stack

   The combination of Grafana, Loki, and Prometheus forms a powerful open-source observability stack. Prometheus is a monitoring system that collects metrics from configured targets at specified intervals, evaluates rule expressions, displays the results, and can trigger alerts. Loki is a logging system designed to be highly scalable and cost-effective, ingesting logs and making them searchable. Grafana is an open-source platform for monitoring and observability, allowing users to query, visualize, alert on, and explore metrics, logs, and traces no matter where they are stored.

   This stack provides a flexible, vendor-agnostic solution for observability, giving teams full control over their data and infrastructure. While it requires more setup and management compared to commercial offerings, its open-source nature means no vendor lock-in and a highly customizable environment. The APIs for Prometheus, Loki, and Grafana allow for extensive programmatic interaction, enabling integration into custom dashboards and automation workflows. This stack is often favored by teams with strong DevOps capabilities who prioritize control, customization, and cost efficiency.

   Best for:

   • Teams prioritizing open-source solutions and customization
   • Cost-conscious organizations with strong DevOps capabilities
   • Flexible data retention and storage strategies

   Visit the Grafana homepage, Loki homepage, and Prometheus homepage.

Side-by-side

How to pick

Selecting an observability platform involves evaluating your organization's specific technical requirements, budget constraints, and operational preferences. Consider the following factors when choosing an alternative to New Relic API:

• Cloud Environment and Integrations:
  • If your infrastructure primarily resides on a single cloud provider like AWS, GCP, or Azure, their native monitoring solutions (AWS CloudWatch, Google Cloud Operations, Azure Monitor) often provide the deepest integration and can be more cost-effective for cloud-specific resources. These platforms inherently understand the nuances of their respective clouds, simplifying setup and providing tailored insights.
  • For multi-cloud or hybrid environments, platforms like Datadog, Dynatrace, or Splunk offer broader compatibility and a unified view across diverse infrastructures. These solutions are built to abstract away cloud-specific complexities and consolidate data from various sources into a single pane of glass.
• Team Expertise and Operational Overhead:
  • Organizations with strong DevOps capabilities and a preference for customization might benefit from open-source solutions like Grafana, Loki, and Prometheus. While these require more initial setup and ongoing management, they offer unparalleled flexibility and control over your monitoring stack.
  • If your team prioritizes ease of use, automation, and reduced operational overhead, commercial platforms with AI-driven insights and automatic instrumentation, such as Dynatrace, can significantly lower the burden of maintaining an observability stack. Datadog and New Relic also offer comprehensive managed solutions that reduce manual configuration.
• Specific Observability Needs:
  • If your primary concern is deep application performance monitoring with automated root cause analysis, Dynatrace's AI capabilities are a strong contender.
  • For comprehensive security and operations data analysis alongside observability, especially if you have existing investments, Splunk's platform with its powerful search and correlation features stands out.
  • If real-time visibility across a broad set of cloud-native services and extensive third-party integrations are critical, Datadog provides a robust offering.
  • For basic infrastructure and application monitoring within a specific cloud provider at a potentially lower cost, the native cloud solutions are often sufficient.
• Pricing Model and Data Volume:
  • Evaluate the pricing models of each alternative in relation to your expected data ingest volume (metrics, logs, traces), host count, and number of users. Some platforms charge per GB of data ingested, others per host, or a combination.
  • Consider the impact of data retention policies on cost. Longer retention periods for high volumes of data can significantly increase expenses. Open-source solutions allow for more control over storage costs if managed efficiently, while commercial platforms often include tiered storage options.
  • Take advantage of free tiers or trials to assess the cost-effectiveness and functionality against your actual usage patterns before committing to a paid plan.
• Compliance and Security Requirements:
  • Ensure the chosen platform meets your industry's compliance standards (e.g., SOC 2, HIPAA, GDPR, ISO 27001). Most enterprise-grade solutions provide detailed compliance documentation.
  • Assess the platform's security features, including data encryption, access controls, and audit logging, to ensure your sensitive monitoring data is protected.