Data Migration to Cloud
Data cloud migration can be challenging. On the one hand, letting go of a trusted legacy data warehouse takes some time. In addition, rolling out a new platform across all teams, divisions, and employees isn’t always easy. However, migrating and managing all data in the cloud is a must for most businesses that want to scale efficiently and that need flexibility and accessibility to data.
To offer a continuous data migration to a target, Rivery will sit on an internal database log and will continuously fetching the data into the target cloud DWH in near real-time. This saves time, keys to maintain the source tables (such as incremental indicators), and makes it much easier to use Rivery and in addition will greatly improve your speed since you don’t need to use queries to keep your target up to date.
Shorter time to cloud
We designed our solution with speed and agility in mind, shortening the time to cloud from months to days.
Our continuos migration doesn’t go into the table, but instead migrates data based on the log activity seen in the server. This is a game-changer for anyone that needs to migrate their entire database quickly and efficiently.
Weather you want to load your data to Snowflake, Redshift, BigQuery, or Azure, our platform is compatible with all the main data warehouses. Data types are converted and managed automatically.
Running the migration as a continuous automated process from the log means there’s no downtime, or negative impact on source performance.