Caching is a technique frequently used to build highly responsive applications with an economy of resources. Effective caching requires a highly available caching layer that can scale economically, with top notch stable performance and low operational complexity.
Redis for Very Large Datasets
As the world moves to analytics at the speed of transactions, applications are required to process and analyze extremely large datasets instantaneously. Older generations of big data tools that took hours and days are increasingly outdated.
Redis for High Speed Transactions
High speed transactions are the mainstay of the financial industry, and are characterized by very high throughput and extremely low latency requirements. In addition to raw performance, transaction requirements include atomicity, consistency, isolation and durability.