January 12, 2022 | Updated: July 6, 2022
Ventana Research, a market advisory and research firm, recently published an Analyst Perspective on MongoDB, noting that the MongoDB data platform provides businesses the ability to accelerate development and data-driven decision-making.
As Ventana Research explains the evolution from traditional databases to modern, cloud-based platforms, the study covered multiple trends related to both the present and future of data platform software. We have identified six key trends from MongoDB that were represented in the Ventana Research Analyst Perspective.
Non-relational, or NoSQL, databases are on the rise. We see this as evidence of an unprecedented, widespread change in how businesses perceive and use their databases.
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.
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. We believe that in order to keep up with their applications (and their competition), companies require a comprehensive, powerful platform like MongoDB Atlas.
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.
Companies are increasingly opting for hybrid and multi-cloud models. 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.
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 Research Analyst Perspectives to gain insight into the current data landscape and the possibilities of tomorrow.
Updated January 17, 2022.