Today's popular document databases often suffer from performance and scalability challenges as document data volumes explode. The greater richness and nested structures that document data provides ...

Relational databases store information in strictly regulated tables and columns. MongoDB is a document store, which stores information in collections and documents. The primary difference here is that ...

While relational databases rely on rigid structures, document databases are much more natural to work with and can be used for a variety of use cases across industries. A document database (also known ...

Forty-eight percent of workers struggle to find files, 45 percent of SMBs still use paper, and e-signatures can boost close ...

Major corporations today dedicate millions to data lakes and data warehouses and data fabrics through advanced analytics systems that operate from on-premises and cloud environments. The process of ...

There’s a transformative shift underway in financial services—one that’s hiding in plain sight, buried in your enterprise and client documents. For decades, documents have been viewed as a burdensome ...

File, block and object are fundamental to how users and applications access and modify data storage. That’s been the case for decades, and the transition to the cloud has seen that remain so – but ...

Unstructured data is proliferating massively. It is growing in volume by more than 50% a year, and according to IDC, it will form 80% of all data by 2025 and does so already for some organisations.