Datometry customers benefit from improved performance when migrating from legacy platforms like Teradata and Oracle to Google BigQuery.
Datometry, the database virtualization company, announced that its Hyper-Q product now integrates the latest version of the high-performance Simba ODBC Data Connector. Datometry customers take advantage of this innovation without changing their existing applications.
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Before Datometry, database migrations required significant effort for rewriting entire applications. As a result, database migrations are considered risky and marred by a high failure rate. But even those migrations that succeed deliver only suboptimal results. Because a migration uses a given version of BigQuery, enterprises are stuck in time. Adopting recent developments of BigQuery later on, would require redoing parts of the migration.
Datometry Hyper-Q makes existing applications work on Google BigQuery without code modifications. Situated between the application and BigQuery, Hyper-Q translates queries in real-time. This preserves the integrity of applications while making them portable between databases. Upgrading to the newest version of Hyper-Q, now customers get the benefit of the Simba ODBC high-performance connector.
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“Datometry customers do not only migrate from legacy systems to BigQuery,” said Mike Waas, CEO, Datometry. “With Hyper-Q, our customers future-proof their investment in a unique way. They know their workloads will always use the latest innovations of BigQuery.”
Datometry gives Google BigQuery users a strong competitive advantage. Through its continuous updates, Datometry guarantees customers get the most out of BigQuery. Even beyond the initial migration, Datometry customers reap significant dividends from their investment.
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