Integrate data from New Relic to Databricks using Matillion

Our New Relic to Databricks connector rapidly transfers your data to Databricks in minutes, keeping it up to date without needing to write or manage complicated ETL scripts.

New Relic
Databricks
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What is New Relic?

New Relic is a comprehensive observability platform designed to help businesses monitor, troubleshoot, and optimize their software infrastructure and applications in real time. Its purpose is to provide deep insights into system performance, user experiences, and integration issues, enabling developers and IT operations teams to rapidly identify and resolve problems. The platform offers a full suite of tools including application performance monitoring (APM), infrastructure monitoring, logs, analytics, and synthetic monitoring, among others.

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The benefits of using New Relic include:

  • Enhanced Performance Monitoring: Accurately track and improve the performance of applications, ensuring they run smoothly and efficiently.
  • Real-time Troubleshooting: Quickly diagnose and fix issues, minimizing downtime and improving user satisfaction.
  • Comprehensive Visibility: Gain complete visibility into your tech stack, from front-end interfaces to back-end databases and cloud services.
  • Proactive Issue Detection: Leverage alerts and anomaly detection to identify and mitigate potential problems before they impact users.
  • Data-driven Decisions: Utilize detailed analytics and reporting to make informed decisions, optimize resources, and plan for future growth.
  • Integrations and Automation: Seamlessly integrate with other tools and platforms to automate workflows and improve operational efficiency.

Overall, New Relic empowers organizations to maintain high-performing, reliable software systems, which ultimately leads to better user experiences and business outcomes.

What is Databricks?

Databricks is a unified data analytics platform that provides a collaborative workspace for data engineers, data scientists, and business analysts. It is built on top of Apache Spark and facilitates seamless integration with various big data tools and services. Key features include optimized data processing performance, machine learning workflows, real-time streaming analytics, and support for multiple programming languages such as Python, R, Scala, and SQL. Databricks offers an intuitive interface that enables easy collaboration and sharing of notebooks and data visualizations. Benefits of the platform include accelerated time-to-value for big data projects, simplified management using the Databricks-managed cloud infrastructure, robust security and compliance capabilities, and a scalable environment that can handle jobs of any size. Overall, Databricks empowers organizations to harness the full potential of their data through efficient processing, collaborative analytics, and comprehensive data management solutions.

Why Move Data from New Relic into Databricks

New Relic provides a robust suite of metrics and data analytics that enable in-depth performance monitoring and optimization of applications. Key metrics include response times, throughput, error rates, and Apdex scores, allowing for insightful performance evaluation. Detailed transaction traces and database query analysis deliver granular visibility into application bottlenecks and inefficiencies. By leveraging real user monitoring (RUM) and synthetic monitoring data, you can assess and improve the user experience across different geographies and device types. Additionally, New Relic’s advanced analytics facilitate anomaly detection and forecast future trends using machine learning, helping teams to anticipate and mitigate potential issues before they impact end-users. Customizable dashboards and alerting mechanisms ensure that critical performance insights are always at your fingertips, enabling proactive and data-driven decision-making.

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Start moving your New Relic data to Databricks now

  1. Create an orchestration pipeline.
  2. Choose the New Relic component from the list of connectors.
  3. Drag the New Relic component into place on the canvas.
  4. Configure the data you wish to import.
  5. Set the target in Databricks.
  6. Schedule the pipeline directly.
  7. Optionally, integrate the pipeline as part of a larger ETL framework.
 

Get started today

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