What databases does Dflux.ai support for migration?
Dflux.ai supports over 20 source and target databases, including PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Cassandra, Redis, DynamoDB, Snowflake, BigQuery, and Redshift. New connectors are added quarterly to expand compatibility.
Does Dflux.ai require a maintenance window or cause downtime during migration?
No, Dflux.ai's dual-write architecture ensures zero downtime. Your applications continue to read and write to the source database throughout the migration, with the actual cutover taking only seconds and scheduled for off-peak hours.
What happens if an issue occurs during a Dflux.ai migration?
Dflux.ai features an automated rollback engine that monitors migration health in real time. If any validation threshold is breached, such as row counts or checksums, the system automatically initiates a rollback to the source database state, ensuring production systems are never at risk.
How long does a typical enterprise database migration take with Dflux.ai?
A 1TB database typically completes active migration in 2-4 hours. The full end-to-end process, including schema analysis, mapping approval, and validation, usually takes 1-3 days, significantly faster than the 3-6 months for manual migration.
Is my data secure during migration with Dflux.ai?
Yes, all data is encrypted in transit using TLS 1.3 and at rest using AES-256. Dflux.ai never stores your database credentials, making connections via secure credential vaults. The platform is SOC2 Type II audited and GDPR compliant.