Datometry is comprehensive enough in helping to move applications between databases and avoid rewriting project work that wastes precious time and resources.

How simple it is to bring all the data from all the business verticles and churn the data for better business insights.

Datometry is a powerful app modernization tool that brings significant benefits to enterprises seeking to migrate their on-premises databases to the cloud. Here are some aspects of the app that I find particularly commendable: Seamless Database Migration: One of the standout features of Datometry is its ability to facilitate a smooth and efficient migration process. The app allows for the migration of existing database workloads to the cloud, enabling organizations to leverage the scalability, flexibility, and cost-effectiveness of cloud infrastructure without disrupting their applications. This capability significantly reduces the time, effort, and risks associated with traditional migration approaches. Database Independence: Datometry excels in providing database independence, enabling organizations to decouple their applications from the underlying database platform. This flexibility allows enterprises to adopt a multi-cloud or hybrid cloud strategy and choose the most suitable database service for their specific needs. By eliminating vendor lock-in, Datometry empowers businesses to make informed decisions based on performance, cost, and feature requirements. Compatibility and Scalability: The app offers extensive compatibility with various on-premises databases, including Oracle, SQL Server, and Teradata, among others. It allows these databases to seamlessly integrate with modern cloud-based platforms, such as Amazon Redshift, Google BigQuery, or Snowflake. Datometry's ability to scale seamlessly with increasing data volumes and user demands ensures that businesses can handle growing workloads without compromising performance or reliability.