The tech industry is growing rapidly as the global tech landscape adapts to artificial intelligence (AI) innovations sweeping through the sector. An examination of tech trends in 2025 revealed how global IT spending is projected to reach $5.6 trillion this year. As a result of this, the amount of data that can be gathered and used to push tech businesses forward will also increase.
Currently, approximately 402.74 million terabytes of data are created each day, which means that tech businesses that can store and use this vast amount of data to improve their services will remain agile and competitive. This is why skills in data analytics have become increasingly important for organizations as they can identify market, product, or organizational trends, analyze customer reaction or engagement with a product or service, and decide the next best move. In order for tech businesses and data analytics specialists to use this data to find trends and analyse the next best move, they need the foundation of a strong database. As technology evolves and the types of data that can be harvested and used increase, many tech businesses are turning to NoSQL databases for these five benefits:
- Flexibility
A key benefit of NoSQL databases is their flexibility. This allows them to handle different data structures and evolving data types without the need to change schemas. With over 80% of all data being unstructured, NoSQL databases are much more equipped to handle this data than more traditional relational databases. A guide to NoSQL databases lists the four major types of formats: document databases, key-value databases, wide-column stores, and graph databases. Each NoSQL database format is designed to store, organize, and analyze data in different ways. Top NoSQL databases are often multi-model, which support more than one type of NoSQL data model. This allows tech businesses to choose the data storage they need based on their application requirements.
- Scalability
As we outlined in the introduction, the tech sector is growing rapidly, with trillions of dollars being invested in the industry. This results from tech businesses rapidly expanding as their customer base and ability to provide services grow. A vital benefit of NoSQL databases is that they can seamlessly scale out horizontally. This means that they can easily add nodes or servers to increase the database’s capacity. With more tech businesses investing in AI, there is an increasing need to store the vast amounts of data that these applications need to function. NoSQL databases can handle these growing data volumes through sharding, which is where large amounts of data are divided into smaller chunks and distributed across multiple servers.
- AI Adaptable
It is not just the ability to scale that makes NoSQL adaptable to AI. As more businesses use AI to cut costs, they need a database that can handle the real-time data needs of AI applications, especially generative AI. After an AI application is released, a database must be used to update its knowledge base in order to provide continuous service. The flexibility of NoSQL databases allows for the easy adaptation of complex and evolving data structures, while the analytics features allow the database to understand the deeper meaning of data. This allows AI applications to take information from NoSQL databases seamlessly.
- Data Volume and Performance
The ability to easily handle massive data volumes, without a drop in performance, is a benefit that the biggest tech businesses are taking advantage of. Netflix uses an open-source NoSQL distributed database platform to handle the “very large-scale type of workload” that is generated by its 300 million-plus users. A key reason for this is the high-speed read and write operations of NoSQL databases, which ensure the data can be quickly accessed and stored. The flexible schema also allows NoSQL databases to store vast amounts of data types and formats without rigid schema constraints.
- Ease of Use
As technology becomes increasingly advanced, tech businesses are looking for data management systems that can not only handle the demands of modern data but can be used effortlessly across departments and for different functions. Document databases can be stored in formats like JSON, BSON, and XML, which allow developers to map objects in the most popular programming languages, making it much easier for tech businesses to develop their applications to suit their individual needs. Another key benefit is that NoSQL databases have streamlined query languages that are easier to learn and use than SQL databases. This simplifies retrieval tasks, making them much more adaptable to the requirements of tech businesses.
As data becomes increasingly vital to the operations of tech businesses, the above 5 benefits have made NoSQL databases very popular.