NoSQL database systems are used for real-time web applications and big data projects. There use has been becoming more popular over time although they have been in operation since the 1960s. During the late 1960s, however, non-relational key value store databases, which can be hosted on a memcached server, did not have the NoSQL moniker.
There is a big difference in the data structures used in relational databases and NoSQL databases. Determining which type of database is best for a project will depend on many factors. NoSQL databases have a much simpler design and offer more flexibility for data that is growing and changing in structure.
Many companies who utilize NoSQL systems are happy to compromise on database consistency to benefit from better availability, partition tolerance, and speed. Some of the barriers to more adaptation of NoSQL systems include lack of any standardized interfaces and too much invested in existing relational database stores. NoSQL databases don’t typically offer true durability, consistency, atomicity, and insolation of transactions, but there are some that are making ACID central to design. Examples include Aerospike, Sysmas, OrientDB, MarkLogic, FairCom, and c-treeACE.
Pros Of Non-Relational Databases
There are countless pros to non-relational databases such as MongoDB and Cassandra, but the most appreciated by companies are high scalability and excellent availability. Another benefit of such databases is the auto replication feature, which ensures that all data replicates back to its last stable state in the event of corruption or failure. Since NoSQL databases are highly scalable, they are perfect for coping with massive amounts of data efficiently.
Cons Of Non-Relational Databases
Unfortunately, there can be quite a few drawbacks to NoSQL databases stores. To begin with, NoSQL is an open-source project, so it lacks industrial standardization and reliability. This is big issue for large companies that need stable solutions. Another disadvantage of non-relational databases is narrow focus. Since such databases are designed to store lots of unstructured data, they have limited functionality. Creating database backups can also be a problem due to large file sizes.
Categories of NoSQL (Non-Relational) Databases
1. Tabular: Big Table, Accumulo, HBase
2. Document-based: Cloudant, CouchDB, MongoDB
3. Key value store: Redis, Memcached, Coherence
Note that NoSQL key value store type databases require a Redis, Coherence, or Memcached Server. Choosing the right server for the type of database you want to implement is essential. Many database servers only offer support for a limited range of data tables.
Ideal Project For Non-Relational Databases
A non-relational database system is perfect if you need to store huge amounts of data, and relationships between transactions are not important. Such a store is also perfect for projects in which data is changing in structure over time. Of course, for many projects, a relational database system is likely to be a better option.
Take time to compare and contrasts the pros and cons of different database systems to ensure you choose the right system for your company’s project. Furthermore, as previously mentioned, make sure you choose the right type of database server.