Quest Named a Winner in G2’s Best Software 2020 Awards

  • Quest Toad® for Oracle listed as one of the top 10 products on the “Best Products for IT Management” list
  • Quest is selected among more than 57k companies and 1M verified reviews on the G2 site

Quest Software, a global systems management, data protection and security software provider, today announced that it has been named a winner of G2’s Best Software 2020 Awards. Quest Toad for Oracle, an intuitive database management toolset that makes it easy to perform essential database development and administration tasks, ranked number 6 on G2’s “Best Products for IT Management” list. Fifty products were listed in this category.

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G2 is the largest software marketplace and review platform. With more than 57,000 software companies and 77,000 software products featured, G2 evaluates over one million authentic, verified customer reviews to create the G2 Best Products for IT Management list. These reviews were written and published between January 1, 2019 – March 3, 2020 and vetted to ensure legitimacy.

“Organizations choose Toad for Oracle to reduce costs and risks while proactively managing databases and administrative tasks to ultimately improve productivity and support team collaboration,” said Venkat Rajaji, vice president, products and market, Quest Information Management business. “This award is invaluable to us because G2 determines the winners based on the reviews of actual users and the community. It’s a true testament to the value Toad for Oracle brings in helping businesses manage their Oracle infrastructure.”

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Toad for Oracle is an intuitive database management toolset that makes it easy to perform essential database development and administration tasks to ensure the health and performance of Oracle cloud platforms and on-premises databases. It enables database developers to build high-quality applications that can perform and scale in production as well as easily automate tasks and processes. With the capabilities found in Toad for Oracle, organizations minimize the risks associated with database changes while maintaining high quality levels of productivity.

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