Database as a Service
Managing databases involves not just deployment, but also complex operational aspects such as storage, backup, failure detection, disaster recovery and upgrades. Symphony makes it easier to set up, operate, and scale databases by offering a fully managed database as a service that removes operational friction of deploying databases and managing common database administrative tasks throughout their lifecycle. Symphony’s highly scalable, open and secure database as a service offers support for databases users are looking for along with the cloud-based consumption model they demand.
Reduce Time to Market
Empower developers with self-service database provisioning and management
Allow developers to choose the best tool for the job from popular open source and commercial databases
Increases IT Productivity
Manage diverse databases types, including scaling and upgrading, in a consistent way while leveraging the best native capabilities of each; standardize to avoid proliferation of versions and configurations
Maximizes Resource Utilization
Spin up or down databases quickly to facilitate peak production loads or Dev/Test needs
Databases are transformed to offer a true multi-tenant service
Getting Started is Simple
It’s easy and essentially effortless to transform your data center into an on-prem AWS-compatible region.
Stratoscale Symphony enables spinning up 100s of VMs in minutes.
Add database as a service in less than one hour with no configuration hassles or custom coding required
Provision and manage MySQL (5.5 and 5.6)
Automated Backup and Restore Replicas
Allow users to choose backup target, frequency and number of retained snapshots; users can easily restore from backup to timestamp
Resize infrastructure and storage based on evolving demand
Leverage automatic failure detection and recovery without the need for monitoring
Selection of database storage options based on local disk pools or external storage devices
AWS RDS-compatible APIs
Offer standard AWS APIs for application integration
Upgrades are performed on a scheduled maintenance timeframe, as determined by users and accommodate specific requirements