Adjectives for Databases

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.
relationalRelational databases are an important tool for managing and organizing data.
largeThe data scientists analyzed the large databases for patterns and trends.
onlineI searched the online databases for information on the topic.
differentI queried the data from different databases but the results are not consistent.
electronicThe research team conducted a comprehensive literature review using electronic databases
multipleI need to connect to multiple databases for this project.
bibliographicMany bibliographic databases provide access to journal articles and other scholarly materials.
severalWe use several databases to store our data.
orientedObject-oriented databases are a type of database management system that uses the object-oriented programming paradigm.
variousVarious databases provide extensive information from diverse sources.
mostMost databases don't require knowing in advance the exact questions you will ask of the data.
computerizedThe computerized databases made it easier to find information quickly and efficiently.
commercialThe commercial databases are very large and very expensive.
spatialThe rise of spatial databases has greatly contributed to our ability to manage and analyze geospatial data.
distributedDistributed databases allow for data to be stored across multiple servers in order to increase performance and reliability.
localThe local databases need to be synchronized with the central database.
deductiveDeductive databases allow for the derivation of new facts from existing ones.
externalOur API offers seamless integration with your external databases
lineThe data scientists have been working on cleaning the line databases
veryWe have very databases but they are not very fast.
nationalResearchers have access to national databases that contain information on millions of patients.
multimediaMultimedia databases are digital repositories that store, organize, and provide access to multimedia data, such as images, audio, and video.
remoteRemote databases allow access to data from any location.
corporateThe company's corporate databases contained a wealth of information.
separateThe company uses separate databases for different departments.
temporalTemporal databases are used to store and manage data that changes over time.
searchableThe online searchable databases provide a wealth of information, including articles, books, and statistics.
heterogeneousThe company's data is stored in a variety of heterogeneous databases making it difficult to get a complete view of the data.
basedThe data analysts worked from based databases for their project.
medical Researchers can use medical databases to search for information on diseases, treatments, and medications.
specializedThe specialized databases contained invaluable information for the research team.
statisticalMany statistical databases comprise vital statistics that are essential to the work of the epidemiologist.
traditionalTraditional databases often lack the flexibility and scalability required for modern applications.
hugeResearchers analyzed huge databases of patient records to identify patterns in disease progression.
activeActive databases provide real-time data updates and insights, making them ideal for dynamic and data-intensive applications.
internalWe regularly update our internal databases to ensure accuracy.
relevantThe analysis was based on data from relevant databases
relatedThe related databases were easily accessible.
operationalTables in operational databases should be regularly updateable, and therefore allow concurrent inserts, updates, and deletes.
extensiveResearchers were able to analyze extensive databases of patient records.
hierarchicalHierarchical databases have a tree-like structure with parent-child relationships.
digitalWe rely on digital databases to store and retrieve data.
centralizedThe centralized databases have been breached and all customer information is now compromised.
multidimensionalWe use multidimensional databases to store and manage data that has multiple dimensions or attributes.
administrativeAdministrative databases are crucial for the efficient management of healthcare systems.
scientificResearchers can access a wealth of information through scientific databases
appropriateOur team searched appropriate databases for sources to cite.
fuzzyFuzzy databases allow for flexible querying and retrieval of data with imprecise matches.
comprehensiveResearchers utilized comprehensive databases to gather and analyze data for their study.
numerousThe research team used numerous databases to gather data for their study.
proprietaryCompanies often create proprietary databases to store confidential data.
biologicalResearchers can use biological databases to search for information about genes, proteins, and other molecules.
massiveThe company collects and analyzes massive databases of customer information.
globalResearchers analyzed data from thousands of global databases to compile their report.
complexComplex databases allow for the storage and organization of large amounts of data.
readableThe readable databases provide a consistent read experience across replicas.
geographicWe used geographic databases to analyze the distribution of species.
integratedThe integrated databases allow for a more comprehensive view of the data.
numericThe numeric databases contain data in the form of numbers.
geneticThe researchers used genetic databases to identify the genetic variants associated with the disease.
conventionalThe majority of business applications rely on conventional databases
structuredThe team analyzed the data using structured databases
scaleWe scale databases to meet the demands of our growing customer base.
regionalResearchers analyzed data from regional databases to identify trends in disease prevalence.
intelligentIntelligent databases harness artificial intelligence to automate data management tasks, improving efficiency and uncovering valuable insights.
vastScientists have access to vast databases of information about the human body.
textualThe textual databases make it easy to search for and retrieve information.

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