With Devart SSIS Data Flow Components for BigQuery you can:

• Build SSIS-based integration solutions for Google BigQuery
• Very quickly load large volumes of data to Google BigQuery
• Automate BigQuery integration via SSIS Data Flow tasks
• Synchronize BigQuery with SQL Server or other data sources

Convenient Devart BigQuery Source Editor

• Devart BigQuery Source component offers a convenient editor, which displays all the connection tables and their columns and allows you to quickly build a query to BigQuery via drag-n-drop. It also displays the list of available system and user variables of the package, allowing you to quickly add them to your select statements. If necessary, you can also quickly preview data, returned by the source, and check whether you query returns what you need.

Advanced Lookup Optimizations

• Devart BigQuery Lookup component offers very high performance because of the advanced optimization techniques used. It uses select statements that check several rows at once, and caches the returned results to reduce the number of round-trips to the server.

Database-specific Optimizations in Devart BigQuery Destination

• To speed up loading data to BigQuery, Devart BigQuery Destination splits data to multiple CSV files, uploads them to Google Cloud Storage, and then commands BigQuery to import them. It performs these jobs in parallel to provide the highest performance possible.