Data Exports supports a wide range of data destinations, allowing you to send your Analyze and Optimize data to your preferred data warehouse, database, or object storage solution.
Cloud-based analytical data warehouses optimized for large-scale data analysis and reporting.
Open-source table formats that provide ACID transactions on data lakes.
Transactional databases for operational workloads.
Cloud-based file storage for data lakes and archival.
Spreadsheet destinations for smaller datasets and reporting.
Most destinations follow a similar setup process:
Data transferred to data warehouses and relational databases is loaded as properly typed tables within a single schema. A _transfer_status table records transfer metadata, including a transfer_last_updated_at timestamp for each table.
Data transferred to object storage destinations is loaded as Apache Parquet files (recommended) or CSV/JSON in Apache Hive-style partitions:
Where:
<model> is the data model name (equivalent to a table name)<date> is the transfer date (e.g., 2024-01-15)<timestamp> is the transfer timestampData transferred to spreadsheet destinations is loaded as a new tab per data model. Where possible, tabs are created as protected (read-only) to prevent accidental modification.
Select your destination from the list above to view detailed configuration instructions.