Ventana Research, a leading technology analysis firm, recently released its latest report on data platform adoption. After surveying hundreds of medium and large enterprise businesses, the firm concluded that MongoDB and its application data platform are well suited to help businesses accelerate development and data-driven decision-making. In fact, Ventana's Matt Aslett recommended that "organizations evaluating potential database providers for new operational applications consider MongoDB."
In addition to calling out MongoDB as a key player in the move from traditional databases to modern, cloud-based application data platforms, the study revealed six key findings that relate to both the present and future of data platform software.
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Non-relational, or NoSQL, databases are on the rise. Currently, nearly one quarter (22%) of respondents use non-relational databases. An additional quarter (21%) plan transitions to non-relational databases such as MongoDB within the next two years — an unprecedented, widespread change in how businesses perceive and use their databases.
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Cloud-based services and products are rapidly gaining popularity. Given the rise of real-time, data-driven applications, organizations are relying more and more on the flexibility, availability, and functionality of cloud-native data platforms. Such products are ideal for quickly building competitive products, delivering highly personalized experiences, and improving business agility.
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As a result, operational database requirements will only become more demanding. As applications become more advanced, databases will become a pivotal part of an organization’s success — or failure. Therefore, Ventana projects that by 2024, 60% of businesses will reassess their operational database suppliers, seeking more versatile, capable products. To keep up with their applications (and their competition), companies require a comprehensive, powerful application data platform like MongoDB Atlas.
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Convergence is the name of the game. As companies seek out new and better operational data platforms, both relational and non-relational database providers will venture into areas that were traditionally dominated by their competitors. Examples include non-relational databases (like MongoDB) adding relational features like ACID transactions, or relational databases offering compatibility for non-relational data models like graphs or documents.
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Companies are increasingly opting for hybrid and multi-cloud models. Almost half (49%) of respondents use cloud computing for analytics and data; of this portion, 42% use multiple cloud providers. In addition, because of concerns like security and regulation, Ventana projects that more than three-quarters of enterprises will turn to hybrid or multi-cloud solutions to address their needs. For instance, MongoDB Atlas’ multi-cloud clusters enable users to leverage exclusive provider features (like Google Cloud’s AI tools), improve availability in geographic regions, or migrate data across clouds with no downtime.
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Non-relational, cloud-native databases are becoming more powerful — and more attractive to customers. Thanks to convergence and competition, non-relational databases are becoming ever more capable. Their advancements include real-time analytics, rich visualizations, and mobile data sync and storage.
Read Ventana’s report to gain insight into the current data landscape and the possibilities of tomorrow.