<prompt> Bapisa le ho bapisa melemo ea ho sebelisa Apache Cassandra le MongoDB.nan  <response>: Instruction in English: Compare and contrast the benefits of using Apache Cassandra and MongoDB. . Response in English: Apache Cassandra and MongoDB are both popular and widely used NoSQL databases, and they come with their respective benefits.Apache Cassandra is a distributed database system designed to manage large amounts of data across multiple commodity servers. Cassandra provides:- High availability: Cassandra has no single point of failure, thanks to its distributed architecture. This means that the service is always available for readwrite operations without any downtime.- Linear scalability: Cassandras performance scales linearly with the number of nodes in the cluster, which means that you can easily add more nodes to the system to increase its throughput and storage capacity.- Flexible data modeling: Cassandra provides the flexibility of schema-less data modeling, making it easier to store and retrieve data of different types and structures.MongoDB, on the other hand, is a document-oriented database that stores data in flexible, JSON-like documents. MongoDB provides:- Rich querying capabilities: MongoDB provides an expressive query language that allows for a wide range of querying options, including filtering, sorting, grouping, and aggregating.- Indexing: MongoDB supports indexing on any field in a document, which can significantly improve the performance of read operations.- Easy horizontal scalability: MongoDB can easily scale horizontally using a process called sharding, in which data is partitioned and distributed across multiple servers.In summary, both Cassandra and MongoDB have their strengths and are suitable for different use cases. Cassandra is a good choice when high availability and linear scalability are top priorities, while MongoDB is a better fit when rich querying and easy horizontal scalability are more important. . Response in Sesotho: Apache Cassandra le MongoDB ka bobeli li tsebahala ebile li sebelisoa haholo li-database tsa NoSQL, me li tla le melemo ea tsona. Apache Cassandra ke sistimi e ajoang ea database e etselitsoeng ho laola lintlha tse ngata ho li-server tse ngata tsa thepa. Cassandra e fana ka: - Ho fumaneha ho phahameng: Cassandra ha e na ntlha e le ngoe ea ho hloleha, ka lebaka la boqapi ba eona bo ajoang. Sena se bolela hore tsebeletso e lula e le teng bakeng sa tsebetso ea ho bala ho ngola ntle le nako ea ho phomola. - Linear scalability: Sekala sa tsebetso sa Cassandra se lekana le palo ea li-node sehlopheng, ho bolelang hore o ka eketsa li-node tse ling habonolo tsamaisong ho eketsa bokhoni ba eona ba ho sebetsa le ho boloka. - Mohlala oa data o feto-fetohang: Cassandra e fana ka maemo a bonolo a schema-less data modelling, e nolofalletsang ho boloka le ho fumana lintlha tsa mefuta le meaho e fapaneng. MongoDB, ka lehlakoreng le leng, ke polokelo ea litaba e shebaneng le litokomane e bolokang data ka litokomane tse feto-fetohang, tse kang JSON. MongoDB e fana ka: - Bokhoni bo bongata ba ho botsa: MongoDB e fana ka puo e hlakileng ea ho botsa e lumellang mefuta e mengata ea ho botsa, ho kenyeletsoa ho sefa, ho hlopha, ho hlopha, le ho kopanya. - Indexing: MongoDB e tšehetsa indexing tšimong efe kapa efe ea tokomane, e ka ntlafatsang haholo tsebetso ea tsebetso ea ho bala. - Scalability e bonolo e otlolohileng: MongoDB e khona ho hola habonolo ka mokhoa o bitsoang sharding, moo data e aroloang le ho ajoa ho li-server tse ngata. Ka kakaretso, Cassandra le MongoDB li na le matla a tsona me li loketse linyeoe tse fapaneng tsa tšebeliso. Cassandra ke khetho e ntle ha phumaneho e phahameng le scalability ea mela e le lintho tse tlang pele, ha MongoDB e lekana hantle ha ho botsa lipotso tse ngata le ho thella habonolo ho bohlokoa ho feta. 