Solutions for SaaS

The key SaaS business requirements

SaaS companies have a unique set of business requirements to increase profitability and service quality, and lower the operation risks:

  • Meeting SLAs - higher service quality, lower risk.
  • Managing complex topologies economically - lower cost, lower risk, higher profitability.
  • Allowing businesses to add users and services at lower or no incremental cost - higher profitability.
Continuent Tungsten offers high-availability solution that provides high service qualify, thus lowering the risk for the system downtime and allowing to maintain the Service Level Agreements (SLAs).

As the SaaS vendors grow, the complexity of their back-end systems increase, often including multi-site operations. This significantly increases management overhead and cost. Continuent Tungsten streamlines the management of the database servers, lowers the cost and increases SaaS profitability.

For multi-tenant operations, moving customers and services efficiently becomes a necessity. Continuent Tungsten allows effective tools to manage customers, move them around and increased capacity while not impacting other customers or maintenance downtime.

The key technical benefits Tungsten offers SaaS

Tungsten solution is well designed to address the technical needs of the SaaS vendors:

  • High availability and protection from data loss
  • Simple, efficient cluster management and
  • Enable and manage complex database topologies

Tungsten offers high-availability, database cluster management and management of complex topologies for multi-tenant architectures.

Tungsten high availability and data protection features include maintaining live copies with data consistency checking and tightly coupled backup/restore integration with cluster management tools.

Tungsten cluster management allows SaaS vendors to migrate customers and perform system upgrades without downtime, thus enabling these maintenance operations during normal business hours.

Tungsten also enables complex replication topologies, including data filtering and data archiving strategies, maintaining extra data copies for data-marts, routing different customers to different DBMS copies, and providing cross-site multi-master replication.