Exporting data from New Relic to a CSV file is a straightforward process that can streamline your data analysis workflow. By converting your performance metrics and logs into CSV, you can easily manipulate and visualize your data in various tools.
This guide will walk you through the steps to export your New Relic data to CSV efficiently. Additionally, we'll explore how Sourcetable lets you analyze your exported data with AI in a simple to use spreadsheet.
New Relic provides a robust set of tools for monitoring and analyzing your application's performance data. One of these tools is the ability to export data, including logs and charts, into CSV format for further analysis or reporting. Understanding how to utilize this export feature can enhance your workflow and allow for more comprehensive data utilization.
New Relic has recently introduced an Export feature within the Logs UI. This feature allows users to download log data in either JSON or CSV format. However, it's important to note that there is an export limit for the number of logs you can export. If you need to export more logs than the standard limit allows, New Relic’s Data Plus offering permits exporting beyond this limit. Data Plus also offers additional export capabilities, including both streaming and historical data export options.
To export a chart as CSV, navigate to the desired chart in your New Relic dashboard. Click the ellipsis (...) located at the top right corner of the chart. From the dropdown menu, select "Export as CSV." The data will always export in UTC time, and it's important to be aware that certain aggregator functions like average() and the COMPARE_WITH clause are not supported in the export. NRQL comments may also produce unexpected results in the exported data.
When exporting data, be mindful that the UI may format the data in ways that are not replicated in the exported CSV. This can cause minor discrepancies between what you see in the dashboard and what is captured in the CSV file. Always cross-check the exported data with the original dataset within New Relic to ensure accuracy.
For users requiring more advanced export capabilities, New Relic’s Data Plus offering is essential. Data Plus allows you to perform both streaming and historical data exports. Historical data exports enable exporting data from more than 12 hours ago, while streaming data exports continuously stream data from the last 12 hours to another destination. These options are useful for integrating New Relic data with analytics, AI, or machine learning tools for more in-depth analysis.
Exporting data to CSV from New Relic is a straightforward process that can provide significant benefits for ongoing data analysis and reporting. Understanding the limitations and capabilities, especially with advanced options like Data Plus, will ensure you can fully leverage your application's performance data.
Logs can be exported from the Logs UI in New Relic. You have the option to export logs in either JSON or CSV format. Be aware that there is an export limit in place. However, Data Plus users can bypass this limit by using Streaming Export or Historical Export.
Data Plus users can access two types of data exports: historical data exports and streaming data exports. Historical data exports allow you to export data from more than 12 hours ago. Streaming data exports, on the other hand, continuously export data from the last 12 hours.
Historical data exports send existing data past initial ingestion out of New Relic. These exports offer unlimited query durations and can handle up to 200 million data point rows. This is ideal for comprehensive data analysis and long-term data retention.
Streaming data exports send data out exclusively at ingestion. These exports are limited to data from the past 12 hours since ingestion. This is suitable for real-time data monitoring and immediate data processing needs.
To download data as CSV from a New Relic dashboard, follow these steps:
1. Open the dashboard.
2. In the chart's top right corner, click the three dots (...).
3. Select "Export as CSV".
Exporting your data to CSV format is a simple and flexible way to analyze and archive data. CSV exports can be used to create backups, analyze data in a spreadsheet program, and share data with team members.
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Sourcetable offers a comprehensive spreadsheet interface that aggregates data from multiple sources, making data querying seamless and efficient. Unlike New Relic, which focuses on application performance monitoring, Sourcetable excels in providing a unified data analysis platform.
With Sourcetable, data retrieval is in real-time, empowering users to manipulate information instantly within a familiar spreadsheet-like interface. This enables quicker insights and more dynamic data interaction compared to New Relic's traditional monitoring dashboards.
Designed for versatility, Sourcetable supports numerous data sources and simplifies complex queries, ensuring you get the exact data you need without needing specialized knowledge in data management. This user-friendly approach contrasts with New Relic's more specialized, and sometimes restrictive, monitoring tools.
To export a chart as CSV, click the ... icon in the top right corner of the chart and select 'Export as CSV'.
Data always exports in UTC time.
Yes, the export feature does not support aggregator functions like average() and the COMPARE_WITH clause. Additionally, comments in NRQL may produce unexpected results.
Log in to New Relic, open the Logs UI, select the Export button at the top of the log table, choose CSV as the format, set the export limit, and hit 'Download' to start the export.
Data Plus customers can use Streaming Export or Historical Export to export more logs than the limit allows.
Exporting data from New Relic to a CSV file is a straightforward process that ensures you can analyze your performance metrics effectively.
With your data now in CSV format, you can easily manipulate and visualize it using various analytical tools.
For deeper insights and to leverage AI capabilities, sign up for Sourcetable to analyze your exported CSV data in a simple to use spreadsheet.