Developers usually use in-memory data caching system like Hazelcast with the application server to offload the backend database for scaling Internetware. Unfortunately, such caches do not integrate well with the database or the application. Developers need to take a large effort to rewrite the existing data access logic and manually manage the caching data. In this paper, we present EasyCache, a novel data caching approach, which provides transparent cache pre-loading, accessing and consistency maintenance to relieve developers of the burden of cache using and management. First, EasyCache translates each row of data in the existing database table into application cached object to pre-load cache data. Second, EasyCache allows applications to access the data cache using SQL statements and translates them into key/value based cache operations. Finally, EasyCache provides asynchronous/synchronous strategies to persist the cache data changes into the backend database. We design and implement EasyCache as a JDBC driver with Hazelcast as the caching layer. To evaluate our prototype, a detailed set of experiments were performed using the TPC-W benchmark. In the experiments, the only programming effort with EasyCache is point the application to the EasyCache JDBC driver. In contrast, when using Hazelcast as a traditional application-level caching system, we need to modify the TPC-W code over 2000 lines for 15 man days. Our experiments also show that, compared to a system with no cache and with query result cache, using EasyCache leads to up to 692× and 77× performance improvement respectively.