There is one more data exchange format which is more space efficient than all those that we've covered so far. It provides binary serialization and is designed for fast in-memory manipulations. Many renowned sites, such as Pinterest, use messagePack for the compression of data.
Consider a scenario where we have to cache some data in primary cache storage, such as redis. In such a case, everytime a developer needs to store data—which can be JSON, an array, or any other data type—into a single string associated with a key (as in redis, where the data store is key-value pair with single-level depth), the memory utilization increases relative to the data inserted. messagePack can help to reduce the memory utilization. If we encode data using messagePack, it results in around 40% lossless compression. Isn't that better?
Another application, as suggested by the author of messagePack, is the cross-service RPC communication protocol. This could be a scenario where...