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InfoFrame Elastic Relational Store - Key Features and Functions
Advanced scaling capability
Scale-out mechanism
System resources can be added/deleted while system is “LIVE”, enabling the system to be re-configured without downtime. This allows customers to manage workload performance and costs effectively.
Automatic resource reallocation
Balancing data processing load among transaction servers enables balanced system operation of all the scaled-out servers.
Update transaction capability
Transaction engine
Data to be saved in transaction servers can be updated at once, as one transaction.
ACID support
ACID transaction functionality ensures consistency.
Memory cache
Transaction servers save the data by using the high-reliability memory cache which adopts in-memory database technology.
Ease of system development
SQL interface
SQL support (compliant with the SQL-89 standard).
Hadoop integration
Data stored in storage servers can be accessed directly from Hadoop.
Reliability and Availability for mission-critical applications
Security function
Settings on user authentication and access privileges equivalent to those for relational databases are available.
Data protection
Data in the transaction server and storage server are stored in multiple servers for improved reliability.
Availabirity
When a failure occurs in the transaction server, backup is automatically promoted to master, enabling business continuity without service interruption.
