Exporting data from Kibana Discover is essential for further analysis and reporting. This guide details the steps to convert your Kibana Discover results into a CSV format efficiently. Understanding this process will enable you to perform advanced data manipulations and external analyses.
We will also explore how Sourcetable allows you to analyze your exported data with AI in a simple-to-use spreadsheet.
CSV exports from Kibana Discover require a paid subscription. Ensure that the Reporting feature in X-Pack is enabled to use this functionality.
To export data from Kibana Discover to a CSV file, follow these steps:
You can receive a notification when the CSV export is complete. Alternatively, you can retrieve the export by navigating to Management > Reporting.
Downloading the CSV file allows you to explore and manipulate your data outside of Kibana using any spreadsheet software. This can be useful for further analysis or storage.
Be aware that there is a size limit on the export based on bytes, not the number of documents. The default download limit is set to 10,000 documents. Adjust your query accordingly to fit this limit if necessary.
For Kibana version 6.0.0 and later, the ability to export as CSV files is available. Prior to this version, you can inspect the query below the histogram and use a script to fetch the results for export.
Searching Website Content for Specific Words |
Use Kibana Discover results to search through large volumes of website data to find all pages containing a specific word or phrase. This use case is essential for content analysis and SEO optimization. |
Identifying Recent Log Events |
Kibana Discover results enable you to search and filter log data to identify the most recently logged events. This is crucial for real-time monitoring and immediate issue detection. |
Analyzing Process Response Times |
Leverage Kibana Discover results to filter and analyze processes that take longer than 500 milliseconds to respond. This helps in performance tuning and identifying bottlenecks. |
Exploring and Querying Data |
Use Kibana Discover to deeply explore and query your data. This capability is vital for data scientists and analysts who need to understand and derive insights from big data sets. |
Data Visualization and Alerts |
Kibana Discover allows you to visualize your findings through various formats like heat maps, line graphs, and pie charts. You can also create alerts based on your queries, providing real-time notifications for critical events. |
Customized Dashboards |
Kibana Discover results can be used to customize dashboards, enabling you to monitor specific data metrics of Elasticsearch, Logstash, and Beats. Custom dashboards help in streamlined and focused data monitoring. |
Time Range Data Exploration |
Set specific time ranges in Kibana Discover to narrow down data exploration to relevant time periods. This feature is useful for historical data analysis and identifying trends over time. |
Saved Searches and Dashboards |
Customize and save your searches in Kibana Discover, and place them on a dashboard for quick access. This is beneficial for recurring analysis and continuous monitoring of key metrics. |
Sourcetable provides a streamlined solution for users to access and manipulate their data in real-time. Unlike Kibana Discover, which focuses primarily on querying and visualizing data, Sourcetable allows users to interact with their data using a familiar spreadsheet interface.
With Sourcetable, all your data from various sources is consolidated in one place. This integration simplifies the process of querying databases, providing a more intuitive and efficient way to handle data analytics compared to Kibana Discover.
The real-time data processing capabilities of Sourcetable ensure that users can quickly get the insights they need. By utilizing a spreadsheet-like interface, Sourcetable makes data manipulation accessible for users of all technical levels, setting it apart from the more complex processes in Kibana Discover.
You need to have Reporting enabled in X-Pack, which is a paid option.
To export to CSV from the Discover page, save your query, then click on Share > CSV Reports.
You will receive a notification in the lower right corner once the export is complete.
You can retrieve your CSV export from Management > Reporting.
No, currently, exporting data without going into Edit mode is not supported. Users need to enter Edit mode to access the export options.
Exporting your Kibana Discover results to CSV is a straightforward process that can streamline your data analysis efforts. By following the steps outlined, you can efficiently transfer your data for external evaluation.
Utilizing CSV files allows for greater flexibility in how you process and interpret your collected information. This method ensures your data can be utilized across various platforms and tools.
To elevate your analysis, sign up for Sourcetable to use AI to analyze your exported CSV data in a simple to use spreadsheet.