2020 DBTA Readers' Choice Awards: Best NoSQL Database
There is nothing more constant in the data world than change. While relational systems have long been the leaders in data management, and continue to be trusted workhorses in the enterprise, newer NoSQL database platforms are increasingly being sought to handle data loads for which relational systems—with neat tables, rows, and columns—are not as well-suited.
Addressing the need to compete on analytics, NoSQL databases help organizations leverage all the information available to take advantage of new business opportunities and better understand customer sentiment as well as detect problems and spot anomalies. NoSQL databases can run on commodity hardware, support the unstructured, non-relational data flowing into organizations from the proliferation of new sources, and are available in a variety of structures that open up new types of data sources, providing ways to tap into the institutional knowledge locked in PCs and departmental silos.
2020 DBTA Readers' Choice Awards: Best Relational Database
The relational database management system remains the dominant model for handling data used for enterprise applications. Critical to the success of any data management system is the ecosystem surrounding the technology. Because of its longevity, the relational database has a rich, multi-layered and highly evolved support network of applications for security, business intelligence and analytics, data integration, master data management and data quality, from which customers can choose.
Additionally, new features are continually being added by both proprietary and open source RDBMS vendors to leverage new technologies and address emerging demands for enterprise data management. Cloud deployment options for flexibility and scalability, and automation for a variety of security and management tasks, and multi-model support for a variety of data formats, access methods and indexes, and programming languages are some of the key features offered in newer systems.
2020 DBTA Readers' Choice Awards: Best Streaming Solution
While in the past, analytics focused on historical data, streaming analytics focuses on data in motion now and analyzes it as it is created for continuous insights fueling insights and actions.
Streaming platforms enable businesses to analyze data in motion, simplify the development of applications, and extend the value of existing systems by integrating with already implemented applications along with supporting both structured and unstructured data.