These new applications are aimed at making breakthroughs or improving operations, such as providing exceptional customer service, speeding product time to market and automating costly processes. As a result, they will require the use of far more than just basic, tabular data that has historically comprised the majority of corporate information. There are new data types and a great deal of unstructured data that must be included. For many customer- or communications-centric applications in particular, the critical information is often found in new, unstructured data sources.
IT executives and their line-of-business partners must therefore complement their existing relational databases (RDBMS), which by themselves may be too limited to efficiently mine and deliver big data insights for informed decision making. To develop and deploy disruptive, game-changing applications and workloads that will provide competitive advantage and breakthroughs, organizations need tools that can support multiple data models.
The foundational component to a data platform for next-generation IT solutions is the multi-model database. Unifying a variety of distinct database software products with a multi-model database provides important benefits, including:
• Meeting new business requirements that include the need to leverage multiple types of data.
• Streamlining development by focusing on a single data store.
• Substantially reducing software costs.
• Improving support for real-time and transaction-based applications that are becoming far more common.
• Efficiently using scarce development resources.
• Meeting demands for substantial scalability.
• Complementing existing investments in relational databases.
1 “The Digital Universe of Opportunities: Rich Data and the Increasing Value of the Internet of Things,” IDC, April 2014