Modern software systems must process tons of data and must provide low latency responsiveness to be able to compete. We've known for a long time that traditional databases cannot keep pace. In-memory computing is incredibly faster. Therefore, in-memory concepts have been added at every nook and cranny. However, is it enough just to use some in-memory computing? Why there are so many different in-memory solutions? Isn't it sufficient just using a cache? Are there pitfalls? When should I use a distributed cache? Is an in-memory database the better approach? What actually is an in-memory data grid? How does an in-memory database work? In this session, you learn the basics and get a better overview to make a decision that fits your project and team.
36. Relational Database
for Legacy Data
Document Store
for Customer Data Management
Graph Database
for Fraud Detection
Time Series Database
for Sensor Data
Distributed Cache
for Caching
Searching Server
for faster Searching
