New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
FMEAs that stay current. Tacit AI builds DFMEAs, PFMEAs and FMECAs from your design specs, process documents, manuals and failure reports, and updates them as they change.
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Which is more popular?
Based on our record, NewRelic
seems to be more popular. It has been mentioned
109 times
since March 2021.
social mentions
109 vs 0
Monitoring Tools popularity
100% vs 0%
alternatives listed
240+ vs 2
Base details
Website, pricing, platforms and company facts side by side.
Comprehensive Monitoring New Relic provides a wide range of monitoring capabilities including application performance, infrastructure, and real user monitoring, offering a holistic view of your system's health.
Real-Time Data New Relic offers real-time analytics and insights, enabling quick identification and resolution of issues as they occur.
Advanced Alerting New Relic's advanced alerting system allows you to set customizable thresholds and get notified through various channels, helping to proactively manage potential issues.
User-Friendly Interface The platform features an intuitive, user-friendly interface that makes it easy to navigate and visualize data, even for less experienced users.
Integration Capabilities New Relic integrates seamlessly with many other tools and platforms, making it easy to incorporate into existing workflows.
Scalability Whether you have a small startup or a large enterprise, New Relic scales easily with your growing needs.
Comprehensive Documentation and Support New Relic offers extensive documentation and a variety of support options including forums, customer support, and a vibrant community.
Possible disadvantages
Cost New Relic can be expensive, especially for smaller businesses or startups that may not have a large budget for monitoring tools.
Complexity While New Relic offers a lot of features, it can also be complex to set up and configure, requiring significant time and expertise.
Performance Impact In some cases, the agents and monitoring tools can add overhead to the monitored systems, potentially affecting performance.
Data Storage Limits Lower-tier plans come with limits on data retention and storage, which may not be sufficient for some businesses with high data requirements.
Steep Learning Curve The breadth of features and capabilities can result in a steep learning curve for new users, making it challenging to fully leverage the platform's potential quickly.
Security Focus Socket provides a primary emphasis on security, offering tools and features that help developers secure their Python applications and dependencies against various vulnerabilities.
Dependency Analysis The platform offers thorough analysis of dependencies, allowing developers to understand the security posture of third-party packages in their projects and manage them accordingly.
Ease of Integration Socket is designed to integrate seamlessly into existing Python development workflows, minimizing disruptions while enhancing security.
Real-time Monitoring Socket allows for real-time monitoring of package security, giving developers immediate alerts about newly discovered vulnerabilities or issues in their dependencies.
Possible disadvantages
Learning Curve Developers new to security-focused tools might face a learning curve in understanding how to fully leverage Socket's features and capabilities.
Platform Limitations As with any tool, Socket may have limitations in compatibility with certain Python environments or frameworks, which could pose challenges for some projects.
Dependency on Tool Relying heavily on Socket for security may lead to a dependency on the platform, which could be a concern if there are outages or changes in support.
Possible Performance Overheads The security checks and real-time monitoring features, while beneficial, might introduce some performance overheads in the development process.
Analysis
An editorial look at what each product does well and who it suits.
NewRelicSocket for Python
Overall verdict
Overall, NewRelic is regarded as a reliable and feature-rich APM solution. Its intuitive user interface, robust monitoring capabilities, and scalability generally receive positive feedback from users. However, it is essential to consider pricing and specific needs, as some users find it expensive compared to other solutions.
Why this product is good
NewRelic is considered a good choice for application performance monitoring (APM) because it offers comprehensive monitoring capabilities, real-time insights, and detailed analytics. It supports a wide range of programming languages and platforms, and features like distributed tracing, error analytics, and infrastructure monitoring make it a versatile tool for ensuring application reliability and performance.
Recommended for
Development teams needing real-time application performance insights
Organizations looking to monitor complex distributed applications
Businesses that require comprehensive monitoring across different technology stacks
Teams focusing on optimizing application availability and performance
Overall verdict
Socket for Python is a solid choice for teams wanting proactive, automated security monitoring of their Python dependencies, offering strong supply chain attack detection though it works best as part of a layered security approach rather than a standalone solution.
Why this product is good
Detects malicious code patterns, typosquatting, and suspicious install scripts in PyPI packages before they cause harm
Provides real-time alerts and PR-based scanning integrated into GitHub workflows and CI/CD pipelines
Offers a comprehensive dependency risk scoring system covering maintenance, quality, and security signals
Requires minimal configuration to get started with sensible default policies
Actively maintained with regular updates to detection heuristics as new attack patterns emerge
Reduces manual review burden by automatically flagging risky package updates and new dependencies
Recommended for
Development teams managing large Python codebases with many third-party dependencies
Organizations concerned about software supply chain attacks and dependency confusion
DevSecOps teams looking to shift security left into the development and CI/CD process
Open source maintainers wanting to vet contributions and dependency changes
Companies in regulated industries needing dependency risk visibility for compliance
Teams already using Socket for JavaScript/npm who want consistent tooling across language ecosystems
Category popularity
How often each product is chosen within a category, 0–100% relative to the other.
The top portion of the page is similar between New Relic and Scout: a breakdown of time spent by category (ex: Ruby, Database, External HTTP services, etc) over time. You can view data across similar timeframes in...
Pingdom Server Monitor, which was formerly Scout Server Monitoring App which was acquired by Pingdom, has superior performance to New Relic, in particular when comparing response times, as seen in comparisons below....
The NewRelic is a one of the best application performance management and monitoring software that gives you a deep analysis to the app stack. New Relic offers a real-time status checking of the app’s availability. It...
New Relic rebuilt its pricing around data rather than hosts: you pay for gigabytes of telemetry ingested and for the number of full-platform users, not per monitored host. That change made it one of the more approachable all-in-one...
- Source: dev.to
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4 months ago
New Relic has the broadest type matrix — seven first-class monitor types including a genuine no-code Step monitor, broken-links, and cert checks — plus serious compliance (SOC 2, ISO 27001, HIPAA BAA, FedRAMP Moderate). For regulated...
- Source: dev.to
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5 months ago
New Relic - CPU usage (%) and Load Average
At AWS re:Invent 2025, I had the opportunity to give a brief demonstration at the New Relic booth that opened the stage to some AWS Heroes. In Linux environments, administrators often rely on CPU usage and load average metrics to...
- Source: dev.to
/
12 months ago
From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.
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