7 Best Alternatives to Datadog in 2026

Why look beyond Datadog

Datadog provides a comprehensive observability platform, integrating infrastructure monitoring, log management, application performance monitoring (APM), and security capabilities into a single solution. Its architecture is designed for cloud-native environments, offering real-time data collection and visualization across various services and applications (Datadog documentation).

However, organizations may explore alternatives for several reasons. Pricing models, which often scale with host count, ingested logs, and APM traces, can become a significant factor for large-scale deployments or those with unpredictable data volumes (Datadog pricing page). Some enterprises might seek more specialized solutions for specific use cases, such as deep database performance analytics or highly customized security information and event management (SIEM). Additionally, companies with existing investments in particular cloud ecosystems or on-premises infrastructure may prefer platforms that offer tighter native integration or a more familiar operational model. The complexity of initial setup and ongoing management, particularly for custom integrations or advanced configurations, can also lead teams to evaluate alternatives that offer simpler onboarding or a different approach to agent deployment and data ingestion.

Top alternatives ranked

1. 1. New Relic — Unified observability for complex software environments

   New Relic provides an observability platform that integrates APM, infrastructure monitoring, log management, browser monitoring, and synthetic monitoring. It is designed to offer a unified view of an organization's software stack, from user experience to underlying infrastructure (New Relic official site). New Relic's approach emphasizes a single data platform for all telemetry, aiming to simplify data correlation and analysis across different monitoring domains. The platform supports a wide range of programming languages and frameworks through its agents and offers an extensive set of integrations with cloud providers and third-party tools. Its query language, NRQL, allows for detailed data exploration and custom dashboard creation. New Relic also includes capabilities for error tracking, distributed tracing, and serverless monitoring, catering to modern microservices and cloud-native architectures. Organizations consider New Relic for its comprehensive feature set and its focus on providing actionable insights through its applied intelligence capabilities.

   Best for: Organizations seeking a unified observability platform with strong APM capabilities and a flexible data query language.

   Learn more on the New Relic platform profile.

2. 2. Dynatrace — AI-powered observability and automation for enterprise clouds

   Dynatrace offers an all-in-one intelligence platform that provides observability, application security, and AIOps capabilities (Dynatrace official site). Its core strength lies in its AI engine, Davis, which automatically discovers, maps, and monitors applications and infrastructure, identifying root causes of performance issues. Dynatrace's OneAgent technology simplifies deployment and data collection across various environments, including hybrid and multi-cloud setups. The platform offers deep insights into user experience, application performance, infrastructure health, and network activity. It includes capabilities for real user monitoring (RUM), synthetic monitoring, log management, and cloud automation. Dynatrace is often chosen by large enterprises that require automated monitoring, proactive problem detection, and intelligent root-cause analysis to manage complex, dynamic IT landscapes. Its focus on automation and AI-driven insights aims to reduce operational overhead and accelerate problem resolution.

   Best for: Large enterprises requiring automated, AI-driven observability and AIOps for complex multi-cloud and hybrid environments.

   Learn more on the Dynatrace platform profile.

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

   Splunk provides a data platform primarily known for its capabilities in security information and event management (SIEM), but also extends to observability and IT operations management (Splunk official site). Splunk's core strength is its ability to ingest, index, and analyze machine data from virtually any source, enabling users to search, monitor, and analyze data for operational intelligence. For observability, Splunk offers solutions like Splunk Observability Cloud, which includes APM, infrastructure monitoring, log investigation, and RUM. While Datadog is often designed with cloud-native monitoring from the ground up, Splunk's approach leverages its powerful data processing engine, which can be particularly advantageous for organizations with vast amounts of machine data across diverse on-premises and cloud environments. Users value Splunk for its flexibility in data ingestion, powerful search language (SPL), and extensive dashboarding capabilities, making it suitable for both real-time operational monitoring and historical data analysis for compliance and forensics.

   Best for: Enterprises with significant existing investments in Splunk for security or IT operations, and those needing a highly flexible platform for ingesting and analyzing diverse machine data.

   Learn more on the Splunk platform profile.

4. 4. ServiceNow — IT operations management and workflow automation

   ServiceNow offers a comprehensive suite of IT operations management (ITOM) products that complement its broader platform for digital workflows (ServiceNow documentation). While not a direct like-for-like observability platform in the same vein as Datadog, ServiceNow ITOM includes capabilities like Discovery, Service Mapping, Operational Intelligence, and Cloud Management. These tools help organizations discover and map IT infrastructure, monitor service health, and automate operational tasks. ServiceNow's Operational Intelligence module provides real-time event correlation and anomaly detection, which can be integrated with its incident management and problem management workflows. For enterprises deeply invested in the ServiceNow ecosystem for ITSM and other business processes, leveraging ServiceNow for ITOM can provide a unified platform for managing IT services from request to resolution, including monitoring and incident response. This approach focuses on integrating monitoring data directly into IT service delivery and automation workflows.

   Best for: Large enterprises already using ServiceNow for ITSM and seeking to integrate monitoring, event management, and IT operations into a single workflow platform.

   Learn more on the ServiceNow platform profile.

5. 5. Amazon Web Services — Cloud-native monitoring for AWS environments

   Amazon Web Services (AWS) provides a suite of monitoring and observability services natively integrated within its cloud ecosystem (AWS documentation). Key services include Amazon CloudWatch for monitoring resources and applications, AWS X-Ray for distributed tracing, and AWS Config for resource inventory and change tracking. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing a unified view of AWS resources, applications, and services. X-Ray helps developers analyze and debug distributed applications built using microservices architectures, offering end-to-end visibility into requests. For organizations heavily reliant on AWS infrastructure, using these native services can simplify deployment, reduce integration complexity, and provide granular insights into AWS resource performance and cost. While Datadog offers multi-cloud capabilities, AWS's native tools are often preferred for deeply integrated monitoring within an exclusively or primarily AWS cloud footprint, leveraging the inherent benefits of the cloud provider's ecosystem.

   Best for: Organizations primarily operating within the AWS ecosystem that prefer native, deeply integrated monitoring and observability services.

   Learn more on the Amazon Web Services platform profile.

6. 6. SAP — Business process monitoring and ERP system health

   SAP offers a range of tools for monitoring the health and performance of its enterprise resource planning (ERP) systems and related business processes (SAP Help Portal). While not a general-purpose observability platform like Datadog, SAP's solutions are crucial for ensuring the stability and performance of mission-critical SAP applications such as SAP S/4HANA, SAP ERP, and SAP CRM. Key monitoring tools include SAP Solution Manager and SAP Focused Run, which provide capabilities for system monitoring, application operations, business process monitoring, and root cause analysis specific to SAP landscapes. These tools offer deep visibility into SAP-specific metrics, transactions, and user experience, helping organizations maintain the integrity and efficiency of their core business operations. For enterprises that run their critical operations on SAP, these dedicated monitoring solutions are essential for managing the unique complexities and performance requirements of SAP environments, often complementing broader infrastructure monitoring tools.

   Best for: Enterprises running mission-critical SAP ERP systems and requiring deep, specialized monitoring for SAP applications and business processes.

   Learn more on the SAP platform profile.

7. 7. Salesforce Sales Cloud — CRM performance and user experience monitoring

   Salesforce Sales Cloud is primarily a customer relationship management (CRM) platform, but it includes internal monitoring and performance tools relevant to its operation (Salesforce Help documentation). While not an observability platform for infrastructure, Salesforce provides tools and metrics to monitor the performance and health of the Sales Cloud environment itself, including API limits, Apex transaction times, and page load performance within the platform. Developers and administrators can utilize built-in features like the Apex Debug Log, Event Monitoring, and various reports to track user activity, identify performance bottlenecks, and ensure the stability of customizations and integrations within their Salesforce instance. For organizations heavily reliant on Salesforce for their sales operations, understanding and monitoring the performance of the CRM platform is crucial. While external observability platforms can integrate with Salesforce APIs to pull data, Salesforce's native tools offer specialized insights into the specific operational characteristics and user experience within the Sales Cloud environment.

   Best for: Organizations focused on monitoring the performance, API usage, and user experience within their Salesforce Sales Cloud instance.

   Learn more on the Salesforce Sales Cloud platform profile.

Side-by-side

How to pick

Selecting an observability platform involves aligning core monitoring needs with the platform's capabilities, pricing structure, and integration ecosystem. Begin by assessing the primary goal: Is it full-stack observability for cloud-native applications, deep security analytics, or specialized monitoring for a specific enterprise application? This initial evaluation helps narrow down the field.

• For comprehensive, unified observability across diverse environments: If your organization operates a complex, hybrid, or multi-cloud environment and requires a single pane of glass for APM, infrastructure, logs, and user experience, platforms like New Relic or Dynatrace are strong contenders. New Relic emphasizes a common data platform for all telemetry, while Dynatrace leverages AI for automated root-cause analysis and operational intelligence.
• For organizations with significant machine data and security focus: If your enterprise has vast amounts of machine data from various sources and a strong need for security information and event management (SIEM) alongside observability, Splunk offers a powerful solution. Its flexible data ingestion and search capabilities are beneficial for both operational monitoring and security analytics.
• For enterprises deeply integrated with specific ecosystems:
  • If your IT operations are heavily reliant on ServiceNow for ITSM and workflow automation, extending with ServiceNow ITOM can provide a unified approach to managing IT services and events.
  • For organizations primarily hosted on AWS, leveraging AWS's native monitoring services (CloudWatch, X-Ray) can offer deep integration and cost efficiencies within that specific cloud environment.
  • If your core business runs on SAP applications, dedicated solutions like SAP Solution Manager or Focused Run provide the necessary depth for monitoring SAP system health and business processes.
  • For monitoring the performance and health of your CRM operations within Salesforce, Salesforce Sales Cloud's internal monitoring tools are essential for optimizing platform usage and customizations.
• Consider pricing and scalability: Evaluate the pricing models of each alternative in relation to your expected data volume, host count, and specific feature usage. Some platforms offer more predictable pricing for certain scales or use cases. Assess how the platform scales with your growth and whether its cost model aligns with your budget.
• Integration with existing tools: Ensure the alternative integrates seamlessly with your current technology stack, including CI/CD pipelines, incident management systems, and other developer tools. This minimizes disruption and maximizes efficiency.
• Ease of use and developer experience: Consider the learning curve for your team, the availability of SDKs, API documentation, and community support. A platform that offers a good developer experience can significantly improve adoption and productivity.

By systematically evaluating these factors against your organization's specific requirements, you can identify an observability solution that best fits your operational needs and strategic objectives.