The Best Way to Transfer the Massive Small Files at High Speed
In the era of big data, the amount of data is exploding. Massive small data has become a very typical data application, such as some picture websites, which may need to process hundreds of millions of picture materials every day. Traditional file systems are difficult to deal with the application scenarios of massive small files efficiently, and there are many problems in the operations of reading, storing and transmitting files.
Challenge 1: Low file reading performance and difficulty in file retrieval
A large number of concurrent random disk accesses greatly reduce the efficiency of disk operation and delay data access. It is much more difficult to retrieve the corresponding files in the voluminous document database, and the time-consuming of business operation is high, even the files can not be opened.
Challenge 2: The amount of data is too large and the storage cost is high
The data generated in the production process of an enterprise has a very important business value. When we gather a large number of scattered small files together, we will form a complete asset view and business view. However, due to the immature storage technology and high storage cost, a large amount of data has been discarded before it can bring its value into play.
Challenge 3: Massive small files are transferred slowly and the transfer performance is poor
Traditional transfer tools can't stand the accumulated data. In addition, due to the influence of transfer distance, network environment, and the size of transfer files, packet loss and delay often occurs, which slows down the business process.
Challenge 4: Massive data management is difficult
Enterprises continuously generate data increment every day, which makes it difficult to manage massive files. Backing up data, deleting files and sorting data will consume a lot of system resources every day.
Raysync solves the data transfer problem of enterprises with its excellent transfer performance.
Intelligent optimization technology of disk I/O
Any file can achieve the optimal transfer speed with minimal system software overhead. Disk I/O accesses many files randomly with extremely high reading speed.
Support mainstream public cloud object storage
Support free switching between local storage and tripartite cloud platform storage, so that huge data can play its value and will not be discarded.
More efficient and stable transmission performance
Raysync transfer protocol can quickly and parallelly transfer multiple data streams through the characteristics of multiple parallel channels, and the transfer speed is 10-100 times higher than FTP.
Enterprise-level stability and reliability
Breakpoint resume, automatic retransfer and multiple file verification mechanism ensure the integrity and accuracy of massive small file transfer, and the transfer efficiency in ultra-remote and weak network environment is stable and reliable.