At a Glance
| Feature | Datadog | New Relic API |
|---|---|---|
| Founded | 2010 | 2008 |
| Best For |
|
|
| Free Tier | Starts with 5 free hosts or 150GB of logs per month | 100 GB of free data ingest per month and 1 free full user |
| Core Products |
|
|
| Compliance |
|
|
| SDKs | Python, Ruby, Go, Java, Node.js, PHP, C#, Swift, Rust | Java, Node.js, Python, .NET, PHP, Ruby, Go |
Both Datadog and New Relic are prominent players in the observability space, offering comprehensive solutions for monitoring and management. While Datadog emphasizes end-to-end cloud monitoring and infrastructure observability, New Relic is tailored more towards full-stack observability and performance optimization. Each has a solid offering of SDKs, supporting multiple programming languages to facilitate integration.
In terms of compliance, Datadog offers a wider range of certifications, including FedRAMP (Moderate and High) and PCI DSS Level 1, which might be crucial for organizations in regulated industries. On the other hand, New Relic provides a more generous free tier, allowing for 100 GB data ingest per month and one free full user, which might be attractive for startups or smaller teams.
Both platforms offer strong capabilities in application performance monitoring and infrastructure monitoring, making them suitable for enterprises seeking reliable, scalable observability solutions. Notably, Datadog's inclusion of cloud cost management as a core product can provide additional value to organizations looking to optimize their cloud expenses.
Pricing Comparison
When considering the pricing of Datadog and New Relic API, both platforms offer usage-based models, but their structure and initial free offerings differ.
Datadog's pricing starts with a free tier that includes monitoring for 5 free hosts or 150GB of logs per month, catering to smaller teams or pilot projects looking to evaluate the service. As for paid plans, Datadog charges on a per-host, per-GB, or per-unit basis across its various products. The infrastructure monitoring begins at $15 per host per month, with additional costs associated with higher tiers or additional services such as log management and application performance management.
New Relic offers a distinct free tier, providing 100GB of free data ingest per month along with one full user. This approach allows users to explore the platform's capabilities, particularly for applications that may generate significant data traffic. New Relic's paid plans are based on data ingest and user type, with a starting price of $99 per month for 250GB data ingest and one core user. This may be effectively suited for organizations with higher data throughput needs or those who require a comprehensive monitoring suite.
| Aspect | Datadog | New Relic |
|---|---|---|
| Free Tier | 5 free hosts or 150GB logs/month | 100GB data ingest/month + 1 full user |
| Starting Paid Plan | $15/host/month for infrastructure monitoring | $99/month for 250GB ingest and 1 user |
| Pricing Model | Per-host, per-GB, per-unit | Per GB of data and user type |
Both platforms have tailored their pricing structures to accommodate varying user needs. Datadog's model, with its host-based pricing, can be more predictable for applications with stable infrastructure sizes. Conversely, New Relic's data-centric pricing may appeal to businesses with fluctuating data volumes or specific data ingestion and processing demands.
These differences highlight the importance of understanding your organization's specific monitoring and observability needs when choosing between these services. Comprehensive documentation is available for both platforms, detailing their pricing models and free tier offerings: see Datadog API documentation and the New Relic API documentation for further insights.
Developer Experience
Both Datadog and New Relic place a strong emphasis on providing a streamlined developer experience, though they approach this with slightly different focuses. Developers considering these tools should evaluate the strengths of each platform's onboarding process, documentation quality, and available development tools to determine which best suits their needs.
| Dimension | Datadog | New Relic API |
|---|---|---|
| Onboarding Process | Datadog offers a straightforward onboarding experience with a user-friendly interface that helps new users quickly set up monitoring for their infrastructure, applications, and logs. The platform provides a unified console that integrates various metrics, logs, and traces, making it easier for developers to get started with end-to-end observability. | New Relic provides a comprehensive guided setup for new users, emphasizing full-stack observability. The platform facilitates proactive issue detection and performance optimization, catering to DevOps teams that seek to integrate monitoring into their workflows efficiently. |
| Documentation Quality | Datadog's documentation is extensive and well-organized, covering a wide array of SDKs in languages such as Python, Ruby, Go, Java, and more. The documentation supports developers in tasks like metric submission, event posting, and dashboard management. Detailed guides ensure clarity in implementing various monitoring functions. More information can be found in the Datadog API reference. | New Relic's documentation is similarly comprehensive and provides clear examples for data ingestion, querying, and configuration management. The platform's API documentation is designed to help developers integrate monitoring seamlessly into their CI/CD pipelines. The documentation's clarity supports a wide range of use cases, as seen in the New Relic API reference. |
| Development Tools | Datadog provides a broad selection of SDKs, making integration straightforward for common languages and frameworks. The platform's API enables functions such as alert setting, dashboard management, and data visualization, allowing developers to customize their observability environment extensively. | New Relic offers a robust set of APIs that allow for detailed data ingestion, querying, and configuration. Developers can automate responses to performance issues and integrate these tools into their existing development workflows, enhancing the efficiency of their monitoring processes. |
Overall, both Datadog and New Relic deliver a solid developer experience with extensive documentation and development tools. While Datadog emphasizes centralized log analysis and security observability, New Relic focuses on full-stack observability and proactive performance optimization, offering a nuanced choice for different developer requirements.
Verdict
When deciding between Datadog and New Relic APIs, organizations should consider their specific monitoring needs and existing infrastructure. Both platforms offer comprehensive observability solutions, but they cater to slightly different use cases and organizational preferences.
| Datadog | New Relic |
|---|---|
| Best suited for teams seeking end-to-end cloud monitoring, centralized log analysis, and detailed infrastructure observability. Its offerings like cloud cost management and synthetic monitoring make it a solid choice for organizations heavily invested in cloud-based operations. | Ideal for organizations looking for full-stack observability with a focus on performance optimization and proactive issue detection. Its strong APM and distributed tracing capabilities are beneficial for DevOps teams aiming to enhance performance across the stack. |
| Offers a free tier with 5 free hosts or 150GB of logs per month, which can be advantageous for smaller teams or those just beginning their monitoring journey. Pricing is usage-based, starting at $15/host/month for infrastructure monitoring. | Provides a generous free tier with 100GB of data ingest per month and one free full user, which can be attractive for teams needing to monitor a large volume of data without immediate costs. Paid plans start at $99/month for 250GB data ingest. |
| Compliance certifications include SOC 2 Type II, GDPR, HIPAA, and FedRAMP, making it suitable for industries with stringent regulatory requirements. | Also holds compliance certifications such as SOC 2 Type II and GDPR, catering to businesses needing to meet high privacy and security standards. |
For organizations prioritizing cloud-native environments and needing a wide range of SDKs for integration, Datadog's extensive support for languages like Python, Go, and Node.js is beneficial. The platform's unified console and detailed documentation simplify the integration and management of metrics and logs.
New Relic, on the other hand, excels in environments where full-stack visibility and performance optimization are critical. Its APIs facilitate seamless integration into CI/CD pipelines, allowing for automated responses to performance issues. This can be especially useful for DevOps teams focused on continuous improvement and rapid deployment cycles.
Ultimately, the choice between Datadog and New Relic should be guided by the specific monitoring requirements, existing infrastructure, and expected growth of the organization. Both platforms offer powerful capabilities, but their strengths align differently with various operational goals.
Performance
When evaluating the performance capabilities of Datadog and the New Relic API, both platforms offer strong tools for data ingestion, monitoring, and analysis. However, their approaches and capabilities provide nuanced differences suited for various organizational needs.
| Aspect | Datadog | New Relic API |
|---|---|---|
| Data Ingestion | Datadog supports a wide array of integrations, which facilitates the ingestion of data from diverse sources. The platform's infrastructure monitoring begins at $15 per host per month, with the capability to manage both high-volume and granular data effectively. | New Relic offers a comprehensive free tier with 100 GB of data ingestion per month. Its pricing structure is primarily based on data ingest volumes and user types. This can be advantageous for teams needing flexibility in managing extensive datasets. |
| Monitoring Efficiency | Datadog excels in providing end-to-end cloud monitoring and is particularly strong in centralized log analysis and application performance management (APM). The platform is designed to offer a unified view of metrics, logs, and traces, which enhances operational efficiency. | New Relic's suite includes full-stack observability features and is noted for proactive issue detection and performance optimization. Its tools are designed to facilitate in-depth analysis and support DevOps teams in improving application performance. |
| Real-time Analytics | With Datadog, real-time analytics are a focal point, allowing users to monitor and respond to incidents in real time. Its capabilities in synthetic monitoring also provide crucial insights into the user experience across applications. | New Relic provides powerful real-time analytics features, leveraging distributed tracing and error detection to ensure that developers and operations teams can swiftly identify and resolve performance bottlenecks. |
Both platforms are well-equipped to handle comprehensive performance tasks. Datadog's strength is in its cohesive and versatile monitoring infrastructure, which is ideal for organizations that require extensive cloud observability across multiple dimensions. Meanwhile, New Relic's focus on full-stack observability and proactive performance optimization caters to teams that prioritize detailed application insights and efficiency in troubleshooting. For an exhaustive list of capabilities, refer to Azure's observability comparison page for additional context.
Ecosystem
When evaluating the ecosystem support of Datadog and New Relic API, it is crucial to consider their integrations, compatibility with other tools, and how they fit into existing workflows. Both platforms provide extensive resources to ensure seamless integration and usability across a variety of environments.
| Aspect | Datadog | New Relic API |
|---|---|---|
| Integrations | Datadog integrates with over 450 technologies, including cloud services, automation tools, and databases. Notable integrations include AWS, Azure, Google Cloud Platform, Kubernetes, and Docker. This breadth allows for comprehensive monitoring across diverse infrastructures. AWS Monitoring with Datadog. | New Relic offers over 400 integrations that span cloud services, on-premises systems, and real-time data sources. Key integrations include AWS, Microsoft Azure, and Google Cloud, making it a viable option for multi-cloud environments. Integrating New Relic with Azure. |
| SDKs | Datadog supports a wide range of programming languages through its SDKs, including Python, Ruby, Go, Java, Node.js, PHP, C#, Swift, and Rust. This diversity enables developers to incorporate monitoring into nearly any application environment. | New Relic provides SDKs in seven major programming languages such as Java, Node.js, Python, .NET, PHP, Ruby, and Go. This support aids developers in integrating performance monitoring directly into their applications. |
| APIs | Datadog's API supports metric submission, event posting, and dashboard management. The API is well-documented, allowing developers to integrate Datadog's monitoring capabilities into various workflows with ease. | New Relic's API offers endpoints for data ingestion, querying, and management. It facilitates the integration of monitoring into CI/CD pipelines and automates responses to performance issues, providing a comprehensive interface for monitoring management. |
Both Datadog and New Relic provide extensive support for integrations, SDKs, and APIs, making them both powerful options for observability solutions. Datadog's slightly broader SDK support may appeal to teams using a wider array of programming languages, while New Relic's seamless integration into DevOps workflows may be advantageous for heavily CI/CD-focused environments.