We’re excited to announce that the Datometry team will be joining Snowflake to help bring seamless interoperability for legacy applications to the AI Data Cloud. As enterprises are racing to leverage AI for their business, migrating to a cloud platform that enables deep integration of AI capabilities is key. And time to market is more important than ever. That’s where Datometry shines. We’re looking forward to […]
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SAN FRANCISCO (April 29, 2025) — Datometry, the database virtualization company, announced today that Italian postal and financial services provider, Poste Italiane, completed the modernization of its data infrastructure by migrating from its legacy data warehouse to Microsoft Azure Synapse Analytics using Datometry. Poste Italiane, one of Europe’s foremost mail and parcel delivery services, banking
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Move to Cloud Data Warehouses for the Cost of One Year’s License Fee of Legacy System SAN FRANCISCO (April 24, 2025) — Datometry, the world leader in database system virtualization, today announced a new fixed-fee migration offer for customers of legacy data warehouse systems. Under this groundbreaking offer, enterprises can move to cloud data warehouses, including
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Empowers enterprises to break legacy data silos and become rapidly AI-ready with Snowflake SAN FRANCISCO (May 23, 2024) — Datometry, the pioneer in database system virtualization, announced today support for Snowflake and its Data Cloud. Using Datometry, enterprises can rapidly move data and workloads from legacy systems, including Teradata and Oracle, to Snowflake and become AI-ready on
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SAN FRANCISCO—(May 16, 2024)—Datometry, the pioneer in database system virtualization, announced today support for Oracle workloads on Azure Database for PostgreSQL – Flexible Server. Using Hyper-Q, enterprises can rapidly move complete workloads from legacy Oracle databases to Flexible Server without having to modify their SQL code. Transitioning from Oracle to PostgreSQL-based database management systems is among
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SAN FRANCISCO (May 9, 2024)—Datometry, the pioneer in database system virtualization, announced today that CRN, a brand of The Channel Company, honored Datometry by naming it one of the Coolest Database System Companies of the 2024 Big Data 100. The award recognizes vendors offering next-generation relational database systems with significant impact and practical relevance. CRN’s Big Data 100
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Offering Empowers Enterprises to Replace Oracle Systems Rapidly When Moving to Google Cloud Platform SAN FRANCISCO—(April 9, 2024)—Datometry, the pioneer in database system virtualization, announced today support for Oracle workloads with Datometry Hyper-Q. Using Hyper-Q, enterprises can rapidly move complete workloads from legacy Oracle databases, including Exadata, to native databases on Google Cloud Platform (GCP), such as
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Offering empowers enterprises to replace Oracle and Teradata systems rapidly with Microsoft Fabric SAN FRANCISCO – (March 26, 2024) – Datometry, the pioneer in database system virtualization, announced today support in Datometry Hyper-Q for Microsoft Fabric as a destination platform. With Datometry Hyper-Q, enterprises can move workloads rapidly from legacy databases, including Oracle and Teradata, to Microsoft Fabric,
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Industry-first drop-in replacement for Oracle available on AWS Marketplace SAN FRANCISCO – (February 22, 2024) - Datometry, the pioneer in database virtualization, announced today the general availability of OpenDB v2.0 via AWS Marketplace. OpenDB sets new standards by combining Datometry’s award-winning Hyper-Q platform with PostgreSQL v16.x to provide customers with the industry’s only drop-in replacement for Oracle
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Alliance accelerates migration from Oracle to Yellowbrick Data Warehouse SAN FRANCISCO – (January 30, 2024) – Datometry, the pioneer in database virtualization, and Yellowbrick Data announced today that they have entered into a technology partnership. By supporting Yellowbrick as a destination platform, enterprises can adopt Yellowbrick considerably faster. Existing Yellowbrick customers can increase usage by consolidating workloads from
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