There are several methods of loading data into ThoughtSpot. This section describes each method and why you might choose it above the others. Consider setting up data-cleansing tasks alongside data-load tasks to make the most of your ThoughtSpot cluster's capacity

The fastest and easiest way to load a new table is by importing it using the Web browser. This is best for one time data loads of small tables which do not have complex relationships to other tables. This method is limited to tables that are under 50 MB (megabytes) in size.

Using ThoughtSpot Loader, you can script recurring loads and work with multi-table schemas.

If your data already exists in another database with the schema you want to use in ThoughtSpot, you can pull the schema and data in using the ODBC or JDBC driver.

These are the methods you can use to load data, along with the benefits of each method:

Method Description Benefits
Load data from the ThoughtSpot UI Use the ThoughtSpot Web interface to upload an Excel or CSV (comma separated values) file from your local machine. Easy way to do a one-time data load of a small file (under 50MB).End users can upload their own data and explore it quickly.
Import with the ThoughtSpot Loader (tsload) Use TQL and tsload to load data directly into the back end database that ThoughtSpot uses. Best way to load large amounts of data or a schema with multiple tables.Can be scripted and used for recurring data loads, such as monthly sales results or daily logs. Can be integrated with an ETL solution for automation.
Use the ODBC/JDBC driver to connect to ThoughtSpot Use the ODBC or JDBC client with your ETL tool. For information, see the ThoughtSpot Data Integration Guide. Make use of an established ETL process and tool(s).Connect to ThoughtSpot using third party tools like SSIS. You don’t need to define a schema to accept the data load.

If you’re uploading data through the Web interface, you can use a native Excel file. If you want to use a CSV (comma separated values) or delimited file, or you are loading using ThoughtSpot Loader, you’ll need to create CSV files with the data to be loaded first.