Customer Company Size
Large Corporate
Country
- Worldwide
Product
- BigMemory Max
Tech Stack
- Oracle Real Application Clusters (RAC)
- Oracle Coherence
- Memcached
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Telecommunications
Applicable Functions
- Business Operation
Use Cases
- Supply Chain Visibility
- Demand Planning & Forecasting
Services
- System Integration
About The Customer
The customer is a $60 billion global telecom provider. As one of the largest telecom companies in the world, the company wanted a global platform that could scale new services for hundreds of millions of users and countless partners. The company had built a new pay-as-you-go global Wi-Fi service assuming it could sign up 5 million users in five years; however, it signed up that many in just six months. The runaway success of the service meant the company needed 40 times that capacity—enough for 200 million users—to handle future demand.
The Challenge
The company, one of the largest telecom companies in the world, wanted a global platform that could scale new services for hundreds of millions of users and countless partners. The first challenge was a new pay-as-you-go global Wi-Fi service that was outstripping capacity. The company had built the service assuming it could sign up 5 million users in five years; it signed up that many in just six months. The runaway success meant the company needed 40 times that capacity—enough for 200 million users—to handle future demand, but scaling its existing infrastructure was far too costly. The company previously stored transactional and billing data in Oracle Real Application Clusters (RAC), but Oracle wanted $5 million for the kind of expansion the company needed. Worse, Oracle RAC hit a wall at around 150 business transactions per second—way below the company’s requirement of 2,000 per second.
The Solution
The company rejected Oracle® Coherence after discovering it wouldn’t scale beyond approximately 500GB and decided against Memcached due to poor scaling, frequent crashes and lack of enterprise-grade features such as high availability and fast restart. The company eventually chose Terracotta BigMemory Max for its ability to deliver extremely low, predictable latency at scale. BigMemory’s highly available striped architecture, fast restartable in-memory data stores and reasonable cost were important factors in the company’s decision. The Terracotta BigMemory Max deployment easily achieved the company’s goal, demonstrating it could handle 200 million users—a 40x boost in capacity—while delivering more than 2,000 business transactions per second, a 13x improvement over Oracle RAC.
Operational Impact
Quantitative Benefit
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