<prompt> Bapisa le ho bapisa polokelongtshedimosetso ya kamano le polokelongtshedimosetso eo e seng ya kamano.nan  <response>: Instruction in English: Compare and contrast a relational database and a non-relational database. . Response in English: Both a relational database and a non-relational database or a NoSQL database are types of databases that are used to store and organize data. However, they have several fundamental differences in their design, data storage, and data retrieval methods. Here is a comparison between the two:Data Structure and Schema: A relational database follows a structured data model where data is stored in tables, with rows representing records and columns representing attributes. The schema, or the structure of these tables, is fixed and must be defined before the data is inserted. In contrast, a non-relational database typically follows a dynamic schema for unstructured data, allowing for more flexibility in data storage. Data can be stored in a variety of formats, such as key-value pairs or document-based.Scalability: Relational databases are best suited for applications with a steady and predictable workload. They can be scaled vertically, by adding more power e.g. CPU, RAM to the existing server. Non-relational databases, on the other hand, are designed for applications with large amounts of data and unpredictable workloads. They can be scaled horizontally by adding more servers to handle the load, and are thus generally more scalable than relational databases.Querying: Relational databases use structured query language SQL for data retrieval. SQL is a powerful and flexible language that can handle complex queries and data manipulation. Non-relational databases use a variety of querying methods, depending on the type of database, and are generally not as powerful or flexible as SQL. However, they often provide simpler and faster access to specific subsets of data.ACID Properties: Relational databases follow the ACID Atomicity, Consistency, Isolation, Durability properties, which ensure that transactions are completed reliably and that the database remains in a consistent state. Non-relational databases, on the other hand, often prioritize speed and scalability over strict data consistency, and may not fully implement the ACID properties.In summary, relational databases are best suited for structured data with consistent workloads, and offer powerful querying and data manipulation capabilities. Non-relational databases are better suited for large-scale unstructured data with unpredictable workloads, and offer faster access to specific data subsets and greater scalability. The choice between the two depends on the needs and nature of the application. . Response in Sesotho: Ka bobeli polokelongtshedimosetso ya kamano le polokelongtshedimosetso eo e seng ya kamano kapa polokelongtshedimosetso ya NoSQL ke mefuta ya datha e sebediswang ho boloka le ho hlophisa datha. Leha ho le joalo, ba na le liphapang tse maloa tsa mantlha moralong oa bona, polokelo ea data, le mekhoa ea ho khutlisa data. Papiso lipakeng tsa tsena tse peli ke ena: Sebopeho sa Boitsebiso le Schema: Sebaka sa polokelo ea litaba se tsamaisanang se latela mohlala o hlophisitsoeng oa data moo data e bolokoang litafoleng, ka mela e emelang lirekoto le likholomo tse emelang litšobotsi. schema, kapa sebopeho sa litafole tsena, se tsitsitse me se tlameha ho hlalosoa pele data e kenngoa. Ka lehlakoreng le leng, database e seng ea kamano hangata e latela schema e matla bakeng sa data e sa hlophisoang, e lumellang ho fetoha habonolo ha polokelo ea data. Lintlha li ka bolokoa ka mekhoa e fapaneng, joalo ka li-key-value pairs kapa litokomane tse thehiloeng ho litokomane. Scalability: Databases tsa kamano li loketse hantle litsebetso tse nang le mosebetsi o tsitsitseng le o ka lebelloang esale pele. Li ka fokotsoa ho ea holimo, ka ho eketsa matla a mangata mohlala, CPU, RAM ho seva e teng. Ka lehlakoreng le leng, li-database tse sa amaneng, li etselitsoe litsebetso tse nang le lintlha tse ngata le mesebetsi e sa lebelloang. Li ka fokotsoa ka mokhoa o otlolohileng ka ho kenyelletsa li-server tse ngata ho sebetsana le mojaro, me ka hona hangata li ka senyeha ho feta li-database tsa likamano. Ho botsa: Mananeo a amanang a sebelisa puo e hlophisitsoeng ea potso SQL bakeng sa ho khutlisa data. SQL ke puo e matla le e feto-fetohang e ka sebetsanang le lipotso tse rarahaneng le manollo ea data. Mananeo a sa amaneng a sebelisa mekhoa e fapaneng ea ho botsa, ho latela mofuta oa database, me ka kakaretso ha a matla kapa a fetoha habonolo joalo ka SQL. Leha ho le joalo, hangata ba fana ka phihlello e bonolo le e potlakileng ho li-subsets tse itseng tsa data. Thepa ea ACID: Mananeo a amanang le kamano a latela thepa ea ACID Atomicity, Consistency, Isolation, Durability, e netefatsang hore litšebelisano li phetheloa ka botsepehi le hore database e lula e le maemong a tsoanang. Ka lehlakoreng le leng, li-database tse sa amaneng, hangata li etelletsa pele lebelo le scalability ho feta botsitso ba data, me li kanna tsa se ke tsa kenya tšebetsong thepa ea ACID ka botlalo. Ka bokhutšoanyane, li-database tsa likamano li loketse hantle bakeng sa data e hlophisitsoeng e nang le meroalo e mengata ea mosebetsi, me e fana ka bokhoni bo matla ba ho botsa le ho laola lintlha. Li-database tse sa amaneng li loketse hamolemo bakeng sa lintlha tse kholo tse sa hlophisoang tse nang le meroalo e ke keng ea lebelloa, me li fana ka phihlello e potlakileng ho li-subsets tse itseng tsa data le scalability e kholoanyane. Khetho pakeng tsa tse peli e itšetlehile ka litlhoko le mofuta oa kopo. 