Magnitude's Simba SurveyMonkey ODBC and JDBC driver enables standard SQL-92 access directly to SurveyMonkey data, without extraction, via SurveyMonkey’s native web services Application Programming Interface (API).
Deliver scalability, full application functionality and real-time analytic capabilities to SurveyMonkey users. Access SurveyMonkey via SQL from Excel, Tableau, Power BI or your BI tool of choice for your marketing reporting.
The Simba ODBC and JDBC Driver for SurveyMonkey provides stored procedures that you can use to create, view, modify, and delete objects from SurveyMonkey data source. SurveyMonkey stores data in structures (files and buckets) which do not follow the rules of data typing and structure that apply to traditional relational tables and columns. Because traditional ODBC and JDBC toolsets might not support these data structures, the data needs to be mapped to a relational form. The Simba SurveyMonkey ODBC and JDBC Driver uses schema tables to map the SurveyMonkey data to an ODBC-compatible and JDBC-compatible forma. High-performance data access is achieved through Simba SQL Engine’s built-in Collaborative Query Execution (CQE) feature, which ensures that filter and aggregation workflows are passed directly to SurveyMonkey rather than being processed within a client application or intermediary system.
The SurveyMonkey ODBC driver complies with the ODBC 3.80 data standard and adds important functionality such as Unicode, as well as 32- and 64-bit support for high-performance computing environments on all platform. The SurveyMonkey JDBC Driver complies with the JDBC 4.2 data standard.
- Direct BI connectivity to data without extraction.
- Provides full driver and query metadata
- Adds aggregation and join capabilities for queries
- Full compatibility with leading analytic tools like SQuirreL SQL
- Supports SurveyMonkey v3
- Supports 32- and 64-bit applications
- Supports multiple platforms, including Windows, ubuntu and Mac OS X
- Supports OAuth2.0 authentication
- Driver compiles with JDBC 4.2 data standards.
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