New updates come to the Toad product family
|Christian Hargrave in Big Data Wednesday, January 24, 2018|
Latest release of Toad Data Point further simplifies data access, integration and data preparation with new pivot grid and enhanced automation capabilities.
According to the DB-Engines Ranking system, the popularity of open source systems increased from 35% five years ago to 47% today. The DB-Engines Ranking is a list of DBMS ranked by their current popularity that is updated monthly.
Toad Edge is a lightweight, flexible and extensible commercial toolset designed to minimize the learning curve for developers and database administrators (DBAs) working in open-source relational database environments. Features like object and user management, query monitoring, schema compare and sync, database snapshots and data import/export make it easy to develop and manage open source relational database environments; while a Continuous Integration plug-in compatible with Jenkins, one of the leading DevOps automation servers, allows users to easily integrate database tasks with DevOps workflows.
The newest release of Toad Edge v1.2 includes added support for multiple result sets and spatial data types. Support for MariaDB v10.1, in addition to MySQL instances running in Microsoft Azure, has also been added for greater platform flexibility.
Real-time access to data, whether on premise or in the cloud, is paramount to business growth. Traditional self-service data preparation has traditionally been at odds with IT data governance, auditability, and transparency requirements. The new Quest Toad capabilities deliver the self-service capabilities data analysts need for easy data preparation in secure and governed workflows - bridging the gap between IT teams and the business.
Key features for Toad Data Point v4.3 include:
- Re-architected pivot grid provides a much simpler workflow that allows analysts the ability to add calculated columns.
- Enhanced Excel export capabilities enable the user to export data directly to an Excel Pivot table on demand or with automated actions.
- Enhancements to dimensional viewer make it easier than ever to group, filter, aggregate, and pivot one query result set into multiple meaningful views.
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