From source to destination – secure, efficient, and seamless data transfers
Simplifying uninterrupted data replication
Data consistency
Ensuring that the data remains consistent during data migration
Business continuity
Maintaining data availability and accessibility for ongoing operations
Time and cost
Preventing delays and overspending during the migration project
Mastering data migration challenges with Maitrx
The platform’s remarkable ability to accommodate a wide range of data storage formats, coupled with its support for Hadoop data migration and its capacity to manage petabytes of data, stands out as a notable strength.
Balancing the imperatives of security, performance, reliability, and user-friendliness is pivotal for the success of any data migration endeavor. This becomes particularly crucial considering the statistic that 83% of data migration projects either result in failure or surpass their allocated budgets and timelines. Matrix effectively tackles several of the challenges that frequently contribute to these issues, offering solutions to potential project failures and budgetary excesses.
Security
Data stays within the customer's virtual network
All data transfers occur within the specified customer network
Customer controls access and retention periods for data and logs
Performance and reliability
Reads data from Write Ahead Logs (WAL) to avoid impacting live database performance
Optimized for minimal resource usage
Reliable system design to prevent data loss even during system crashes
Ease of use
User-friendly UI and command line options for integration with the platform
Simple actions for adding, removing data sources/destinations, and scheduling transfers
Control features like pausing or stopping the migration process on errors
Seamless transitions for enterprise-scale business continuity
Maitrx Data Movement can effortlessly keep your business data and operations running smoothly without any hiccups. We offer an outstanding level of flexibility and control and our ability to handle data of any size ensures seamless transitions through either one-time migrations or continuous replication processes.