Is An In-Memory Distributed Relational Database Right For Your Company?
As one of the leading trends in the industry for database management, an in-memory distributed rational database is one of the many options that your business has for processing data. It relies on memory, rather than disk storage like traditional storage options, to manipulate data.
But why would this be the right choice for your business? Here are some reasons:
- The read process relies on fewer actions to access your data. Disk-based storage requires moving data from disk to a cache or buffer pool, then a move to main memory before you can access it. In-memory solutions do not require these extra steps, which means fewer performance issues.
- With SonicBase, you can expect linear scalability. We achieve 3.9 million batch record inserts per second and 35 million range-based record reads per second on a small cluster. To double your throughput, simply double your server count.
- With a distributed database, you simply add more servers to scale up the number of records your database can store. You aren't bound by the largest instance size you can acquire like you are with non-distributed databases.
- The technology for in-memory options is less expensive than it used to be. Memory storage is becoming cheaper and cheaper, while the amount of memory on a single server continues to expand. It may not be quite as inexpensive as some disk-based options, but it does make more sense to invest in the increasingly affordable memory option, considering the higher performance that in-memory offers.
- Many in-memory database management systems, including SonicBase, are cross-platform systems. This means that you can use this data management system on Mac, Windows and Linux.
While not every business can or should use this type of database, making the switch could be a huge shift in the way your company accesses, manages, and manipulates data. To learn more, you can download our highly-functional free version, or try the 30-day pro trial, at Downloads.