Adjectives For Databases
Discover the most popular adjectives for describing databases, complete with example sentences to guide your usage.
Updated on March 16, 2024
In the world of data management, the adjective preceding 'databases' can dramatically change the conversation. A 'relational' database emphasizes structured data and relationships within it, while a 'large' database hints at scale and the challenges that come with it. An 'online' database points to accessibility and real-time data interactions, distinguishing it from those stored offline. Describing databases as 'different' underscores the diversity in their structures and purposes, and 'electronic' highlights their digital nature. 'Multiple' databases bring to mind the complexity of managing and integrating disparate data sources. Each adjective not only describes but also unlocks a different dimension or challenge in data management. Discover the full range of descriptive adjectives that delineate the vast world of databases.
| relational | Relational databases are an important tool for managing and organizing data. |
| large | The data scientists analyzed the large databases for patterns and trends. |
| online | I searched the online databases for information on the topic. |
| different | I queried the data from different databases but the results are not consistent. |
| electronic | The research team conducted a comprehensive literature review using electronic databases |
| multiple | I need to connect to multiple databases for this project. |
| bibliographic | Many bibliographic databases provide access to journal articles and other scholarly materials. |
| several | We use several databases to store our data. |
| oriented | Object-oriented databases are a type of database management system that uses the object-oriented programming paradigm. |
| various | Various databases provide extensive information from diverse sources. |
| most | Most databases don't require knowing in advance the exact questions you will ask of the data. |
| computerized | The computerized databases made it easier to find information quickly and efficiently. |
| commercial | The commercial databases are very large and very expensive. |
| spatial | The rise of spatial databases has greatly contributed to our ability to manage and analyze geospatial data. |
| distributed | Distributed databases allow for data to be stored across multiple servers in order to increase performance and reliability. |
| local | The local databases need to be synchronized with the central database. |
| deductive | Deductive databases allow for the derivation of new facts from existing ones. |
| available | |
| external | Our API offers seamless integration with your external databases |
| line | The data scientists have been working on cleaning the line databases |
| very | We have very databases but they are not very fast. |
| national | Researchers have access to national databases that contain information on millions of patients. |
| multimedia | Multimedia databases are digital repositories that store, organize, and provide access to multimedia data, such as images, audio, and video. |
| remote | Remote databases allow access to data from any location. |
| corporate | The company's corporate databases contained a wealth of information. |
| separate | The company uses separate databases for different departments. |
| temporal | Temporal databases are used to store and manage data that changes over time. |
| searchable | The online searchable databases provide a wealth of information, including articles, books, and statistics. |
| heterogeneous | The company's data is stored in a variety of heterogeneous databases making it difficult to get a complete view of the data. |
| based | The data analysts worked from based databases for their project. |
| medical | Researchers can use medical databases to search for information on diseases, treatments, and medications. |
| specialized | The specialized databases contained invaluable information for the research team. |
| statistical | Many statistical databases comprise vital statistics that are essential to the work of the epidemiologist. |
| traditional | Traditional databases often lack the flexibility and scalability required for modern applications. |
| huge | Researchers analyzed huge databases of patient records to identify patterns in disease progression. |
| active | Active databases provide real-time data updates and insights, making them ideal for dynamic and data-intensive applications. |
| internal | We regularly update our internal databases to ensure accuracy. |
| relevant | The analysis was based on data from relevant databases |
| related | The related databases were easily accessible. |
| operational | Tables in operational databases should be regularly updateable, and therefore allow concurrent inserts, updates, and deletes. |
| extensive | Researchers were able to analyze extensive databases of patient records. |
| hierarchical | Hierarchical databases have a tree-like structure with parent-child relationships. |
| digital | We rely on digital databases to store and retrieve data. |
| centralized | The centralized databases have been breached and all customer information is now compromised. |
| multidimensional | We use multidimensional databases to store and manage data that has multiple dimensions or attributes. |
| administrative | Administrative databases are crucial for the efficient management of healthcare systems. |
| scientific | Researchers can access a wealth of information through scientific databases |
| appropriate | Our team searched appropriate databases for sources to cite. |
| fuzzy | Fuzzy databases allow for flexible querying and retrieval of data with imprecise matches. |
| accessible | |
| comprehensive | Researchers utilized comprehensive databases to gather and analyze data for their study. |
| numerous | The research team used numerous databases to gather data for their study. |
| proprietary | Companies often create proprietary databases to store confidential data. |
| biological | Researchers can use biological databases to search for information about genes, proteins, and other molecules. |
| massive | The company collects and analyzes massive databases of customer information. |
| global | Researchers analyzed data from thousands of global databases to compile their report. |
| complex | Complex databases allow for the storage and organization of large amounts of data. |
| readable | The readable databases provide a consistent read experience across replicas. |
| geographic | We used geographic databases to analyze the distribution of species. |
| integrated | The integrated databases allow for a more comprehensive view of the data. |
| numeric | The numeric databases contain data in the form of numbers. |
| genetic | The researchers used genetic databases to identify the genetic variants associated with the disease. |
| conventional | The majority of business applications rely on conventional databases |
| structured | The team analyzed the data using structured databases |
| scale | We scale databases to meet the demands of our growing customer base. |
| regional | Researchers analyzed data from regional databases to identify trends in disease prevalence. |
| intelligent | Intelligent databases harness artificial intelligence to automate data management tasks, improving efficiency and uncovering valuable insights. |
| vast | Scientists have access to vast databases of information about the human body. |
| textual | The textual databases make it easy to search for and retrieve information. |
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