In-Memory is the Elixir to Soothe Big Data Pains
Blog: Software AG Blog - Reality Check
An explosion in Big Data, coming from both inside and outside the enterprise, requires sophisticated technology to corral and use it productively. Whatever business you are in, from financial services to healthcare, retail or telecommunications, you need to perform real-time analysis of this data for taking quick actions.
This is only feasible by storing this data in-memory to have the fastest possible latency and to maintain this low latency as the data volumes grow. Software AG’s Terracotta In-Memory Data Fabric platform offers these capabilities along with “five 9’s” of availability and easy integration with existing applications.
This is the primary reason why Software AG’s Terracotta In-Memory Data Fabric platform has been named a Leader in the independent research firm Forrester’s WaveTM: In-Memory Data Grids, Q3 2015.
The report said: “Terracotta has a unique architecture compared to the other vendors in that it uses a striping architecture instead of a peer-to-peer architecture to achieve high-availability.”
This striping architecture helps the platform scale without impacting latency. This means that regardless of the volume of data in-memory, hundreds of gigabytes or hundreds of terabytes, the platform continues to support low millisecond latency.
For example, a Software AG telecommunications customer was struggling to keep up with call center demands and wanted to scale to handle millions of customers. Over 90% of its customer interactions were coming from outdated call center interactions and its back-end and billing systems were buckling under the load when it tried to convert to e-service.
To solve its problems, the company chose to build an innovative in-memory data management solution for customer support using Terracotta BigMemory, the core of the Terracotta In-Memory Data Fabric platform. Today 10,000+ customers use its e-services each day, enjoying 100 % data availability and lightning-fast access times with support costs slashed.
Another customer of ours, a global payments company, wanted to dramatically improve fraud detection. Fraud was costing it around 30 cents of every $100 in transactions and the risk management team had determined that enhancing its fraud detection algorithm with one additional rule would save $12 million annually. The company’s existing platform handled only 50 rules, but the team wanted to add thousands. To boost customer satisfaction, the team also wanted to offer service level agreements that guarantee transactions would be flagged or approved in less than 650 milliseconds.
The company’s BigMemory-powered fraud detection platform now incorporates thousands of validation rules, transaction rules and risk rules, all stored in a 4TB BigMemory store. By implementing Terracotta, the company saved millions of dollars in annual profit plus additional savings by ditching unneeded database licenses. And it now meets its stricter 650-millisecond end-to-end SLA for 99 percent of transactions.
Finally, a big government healthcare agency was having major issues with too many customers trying to utilize their services at the same time. They had instances when the service was unavailable due to the load, or it crashed. This not only led to customer dissatisfaction but also resulted in lost revenue.
The agency started using Terracotta’s In-Memory Data Fabric platform and within a short period of time was able to resolve all the scalability issues. Once it understood what the platform could do, it was deployed to other parts of the environment to eliminate any scalability and latency challenges and provide better service to customers.
These use cases show how Terracotta’s In-Memory Data Fabric platform can serve customers across different verticals. If you would like to learn more, please contact us at firstname.lastname@example.org.