Big data grows rapidly, changes quickly, and has a diversified structure. Relational databases are inefficient at storing, retrieving, and linking such data.
The right type of non-relational database can store and manage data with great flexibility, perform high speed operations, and scale with your business.
Non-relational databases allow you to access data quickly and simply. Rather than focusing on the reliability of transactions, they are built for speed.
Thank you for sending the message.
We will get back to you as soon as possible.
A problem occured.
Please try again.
Non-relational databases, such as MongoDB and Redis, can significantly boost app performance (especially when dealing with large volumes of data to be accessed) and reduce latency. For this reason, NoSQL databases can be perfect for Big Data systems. Different data representation (e.g. graph database) gives access to unique techniques which outperforms relational databases.
Which apps benefit from non-relational databases
Non-relational databases can improve data access performance, especially for large volumes of data. NoSQL databases can be perfect for Big Data.
A distributed content search and analytics engine like ElasticSearch provides the best full-text searching on the market while remaining very flexible.
Non-relational databases are low-cost solutions, ideal for companies looking for savings in this area. They can reduce costs and downtimes at the same time.
Redis is, or has been used for NoSQL databases in commercial applications, including major social media platforms and classified advertisement sites.
Check our case studies
Software development process
Let’s kickstart your project.
Contact us today.