New Relic vs Streamlit
A detailed comparison to help you choose the right AI tool
N
New Relic
Observability platform with AIOps capabilities and anomaly detection.
Freemium 893 upvotes
S
Streamlit
A faster way to build and share data apps
Freemium 689 upvotes
Key Features
New Relic
- Real-time application performance monitoring for quick insights.
- AIOps capabilities for automated incident response and resolution.
- Anomaly detection to identify unusual patterns in system behavior.
- Distributed tracing to monitor requests across microservices.
- Customizable dashboards for visualizing key performance metrics.
Streamlit
- Interactive widgets for user input like sliders, buttons, and text boxes.
- Real-time data visualization with support for charts and graphs.
- Easy deployment options to share apps via Streamlit Cloud or local servers.
- Integration with popular data libraries like Pandas, NumPy, and Matplotlib.
- Markdown support for adding formatted text and documentation within apps.
New Relic Pros
- + Comprehensive observability across the entire tech stack.
- + Advanced AIOps and anomaly detection reduce downtime.
- + Flexible pricing model with no surprise overages.
- + Seamless integration with a wide range of tools and services.
- + Robust security features to protect sensitive data.
- + User-friendly interface with customizable dashboards.
New Relic Cons
- − Complex setup for small teams with limited resources.
- − High cost for larger teams requiring extensive data ingestion.
- − Steep learning curve for users new to observability platforms.
- − Limited offline capabilities for environments without internet access.
- − Some advanced features require additional configuration.
Streamlit Pros
- + Streamlit's ease of use allows for rapid development and deployment of data applications.
- + The tool's real-time update feature enhances the iterative development process.
- + Streamlit's widget integration simplifies the creation of interactive user interfaces.
- + The Community Cloud offers a free platform for sharing public apps, fostering collaboration.
- + Enterprise deployment options provide robust security and reliability for large organizations.
- + Streamlit's compatibility with a wide range of data visualization tools enhances its utility.
Streamlit Cons
- − Streamlit's reliance on Python may limit accessibility for users unfamiliar with the language.
- − The free tier is limited to public apps, which may not suit all project requirements.
- − Advanced customization may require additional effort or external components.
- − Some users may find the lack of built-in user authentication a limitation for certain applications.
- − Enterprise features are tied to Snowflake, which may not align with all organizational infrastructures.
Which Should You Choose?
Choose New Relic if:
- → You need it for monitor application performance during peak traffic events.
- → You need it for automatically detect and resolve incidents before user impact.
- → You need it for analyze user interactions to optimize application performance.
Choose Streamlit if:
- → You need it for data scientists creating quick prototypes of data analysis tools.
- → You need it for business analysts sharing interactive dashboards with stakeholders.
- → You need it for educators building teaching tools for data science concepts.