Is my data secure during migration with Dflux.ai?
Yes, Dflux.ai ensures data security through AES-256 encryption for data at rest and TLS 1.3 for data in transit. It is SOC2 Type II audited and GDPR compliant, and never stores database credentials, using secure credential vaults instead.
Does Dflux.ai require a maintenance window or downtime for migrations?
No, Dflux.ai's dual-write architecture allows your source database to remain fully live throughout the migration, with applications continuing to read and write. The actual cutover takes only seconds and can be scheduled for off-peak hours.
What happens if something goes wrong during a migration?
Dflux.ai features an automated rollback engine that monitors migration health in real time. If any validation threshold, such as row counts or checksums, is breached, the system automatically initiates a rollback to the source database state, protecting production systems.
What databases does Dflux.ai support for migration?
Dflux.ai supports over 20 source and target databases, including popular options like PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Cassandra, Redis, DynamoDB, Snowflake, BigQuery, and Redshift. New connectors are added quarterly.
Can I run a proof-of-concept before committing to Dflux.ai?
Absolutely. Dflux.ai encourages POCs. You can book a demo where their team will conduct a live migration of a sample of your actual data, using your schema and database types, to demonstrate the production migration process.