Data Migration using dbSHIFT is possible for all the industries which use IT infra.
We do the following procedures in Data Migration Systems
Pre Migration Analysis is conducted as a workshop with key stake holders to define and agree upon goals and scope of migration. This compatibility study results can help the deciding authorities to go ahead with their decisions on database migrations. Further, we could continue with finalizing scope, the cost saving derivations, defining downtime windows and workarounds during the database conversion
In the Migration Phase, we ensure high-quality and optimal migration to validate acceptable production impact, we may run up to three full test migrations. The tests will help identify potential hotspots and issues, which will be mitigated proactively by tuning the migration process. Another important value of the test cycle is the ability to improve the speed of the migration process through adjustments such as the scaling of jobs up or down around peak times.
Once the test cycle is completed, we implement migration services and execute the production migration within the agreed downtime window.
Our support team provides 72 hours live support after the database migration to assist our clients with issues like fault diagnosis. Our team supports our clients till they get used to the new system.
Databases Supported
Source Database |
Destination Database |
Database Type |
---|---|---|
Oracle / MSSQL / DB2 |
Postgresql |
Opensource |
Oracle / MSSQL / DB2 |
MySQL |
Opensource |
Oracle / MSSQL / DB2 |
Mongodb |
Opensource/Propreitery |
Oracle / MSSQL / DB2 |
Hbase |
Opensource |
Oracle / MSSQL / DB2 |
Cassandra |
Opensource |
Oracle / MSSQL / DB2 |
Hadoop Data Lake |
Opensource |