ClustrixDB Handles the Enterprise-Level Performance and Availability Required by SaaS Providers
ClustrixDB handles the heavy query and uptime requirements of Software as a Service providers. At hundreds of thousands of transactions per second, incoming customer interactions are handled smoothly with highly available database performance. ClustrixDB provides the platform for SaaS providers who need Enterprise-level performance and uptime for their MySQL workloads
What makes ClustrixDB ideal for SaaS providers?
As your SaaS application grows, you’ll need to add more capacity to your database as well. Depending on your user-base, you can see big spikes on weekends and the holidays. ClustrixDB adds additional read and write scale with each additional server. Provision only the servers you need, when you need them, and save during the times you don’t!
ClustrixDB is designed to handle hundreds of thousands of transactions of database transactions a second. This is exactly what it takes to handle hundreds of thousands of customer requests: allowing you to capture, aggregate, and generate actionable reports. Real-time performance is critical; your customers are creating dynamic campaigns, and time is money.
Very High Connection Count
ClustrixDB excels at multiple simultaneous transactions, allowing your many users low latency in their application requests
Drop-in MySQL Compatibility
Many of the best Software as a Service Platforms are built from the ground up, and thus often they use MySQL. Avoid the need to replatform to an expensively-licensed huge database, and get the performance you need using your same MySQL application (workload), on a much faster database than MySQL.
- Customer Success Story: Viverae
- Scalable SQL Database for AWS: High Value, High Transaction Workloads with ClustrixDB
- How ClustrixDB RDBMS Scales Writes & Reads
- Database Scale Without Limits on AWS
- Beyond ETL: How to Manage 5X More Data on Every Bid
- A Better Way to Handle Seasonal Spikes
- A New Approach to Scale-Out RDMS
- Why Traditional SQL Databases Fail to Scale Writes & Reads Effectively