Difference between Database Management System and Data Warehouse Last Updated : 08 Feb, 2025 Comments Improve Suggest changes Like Article Like Report Organizations use a variety of solutions in the field of data management to efficiently handle and analyze data. The Data Warehouse and Database Management System are two examples of such systems. Although both systems handle and store data, their functions and task-specific optimizations vary. While the Data Warehouse is made for evaluating large amounts of data to help in decision-making, the Database Management System is usually used for routine tasks including transactional processing. To choose the best for your data management requirements, it is important to understand the differences between these two.What is Database Management SystemDatabase Management System is used in the traditional way of storing and retrieving data. The major task of a database system is to perform query processing. These systems are generally referred to as online transaction processing systems. These systems are used in the day-to-day operations of any organization.DBMSRead in detail about Database Management System.What is a Data WarehouseData Warehouse is the place where huge amount of data is stored. It is meant for users or knowledge workers in the role of data analysis and decision making. These systems are supposed to organize and present data in different format and different forms in order to serve the need of the specific user for specific purpose. These systems are referred as online analytical processing.Data WarehouseRead in detail about Data Warehouse.Difference Between Database Management System and Data WarehouseFeatureDatabase Management SystemData WarehousePurposeIt supports operational processesIt supports analysis and performance reporting.Data HandlingCapture and maintain the dataExplore the dataData TypeCurrent dataMultiple years of historyDate ScopeData is balanced within the scope of this one systemData must be integrated and balanced from multiple system.Update FrequencyData is updated when transaction occursData is updated on scheduled processes.Data VerificationData verification occurs when entry is done.Data verification occurs after the fact.Data Size100 MB to GB.100 GB to TB.Data ModelER based.Star/Snowflake.OrientationApplication oriented.Subject oriented.Data SpecificityPrimitive and highly detailed.Summarized and consolidated.Storage StructureFlat relationalMultidimensional Comment More infoAdvertise with us Next Article Difference between Database Management System and Data Warehouse P pp_pankaj Follow Improve Article Tags : DBMS Difference Between data mining Similar Reads Differences between Operational Database Systems and Data Warehouse The Operational Database is the source of data for the information distribution center. It incorporates point by point data utilized to run the day to day operations of the trade. The information as often as possible changes as upgrades are made and reflect the current esteem of the final transactio 3 min read Difference between Data Warehouse and Data Mart Both Data Warehouse and Data Mart are used for store the data. The main difference between Data warehouse and Data mart is that, Data Warehouse is the type of database which is data-oriented in nature. while, Data Mart is the type of database which is the project-oriented in nature. The other differ 6 min read Difference between Database Testing and Data warehouse Testing Database Testing: It is the testing of security, performance and various other aspects of the database. It also includes various actions taken for testing of data. IT is basically performed on the small data size that is stored in the database system.Example: Testing of the data of a college’s stude 4 min read Difference between Data Lake and Data Warehouse Data LakeData Lake is the concept where all sorts of data can be landed at a low cost but exceedingly adaptable storage/zone to be examined afterward for potential insights. It is another advancement of what ETL/DWH pros called the Landing Zone of data. Only presently we are looking at ALL sorts of 3 min read Difference between Data Warehousing and Data Mining A Data Warehouse is built to support management functions whereas data mining is used to extract useful information and patterns from data. Data warehousing is the process of compiling information into a data warehouse. The main purpose of data warehousing is to consolidate and store large datasets 5 min read Like