Azure Storage vs RocksDB: What are the differences?
Azure Storage: Reliable, economical cloud storage for data big and small. Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud; RocksDB: Embeddable persistent key-value store for fast storage, developed and maintained by Facebook Database Engineering Team. RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.
Azure Storage and RocksDB are primarily classified as "Cloud Storage" and "Databases" tools respectively.
Some of the features offered by Azure Storage are:
- Blobs, Tables, Queues, and Files
- Highly scalable
- Durable & highly available
On the other hand, RocksDB provides the following key features:
- Designed for application servers wanting to store up to a few terabytes of data on locally attached Flash drives or in RAM
- Optimized for storing small to medium size key-values on fast storage -- flash devices or in-memory
- Scales linearly with number of CPUs so that it works well on ARM processors
"All-in-one storage solution" is the top reason why over 18 developers like Azure Storage, while over 2 developers mention "Very fast" as the leading cause for choosing RocksDB.
RocksDB is an open source tool with 14.3K GitHub stars and 3.12K GitHub forks. Here's a link to RocksDB's open source repository on GitHub.
According to the StackShare community, Azure Storage has a broader approval, being mentioned in 84 company stacks & 44 developers stacks; compared to RocksDB, which is listed in 6 company stacks and 7 developer stacks.
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