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Definition of Hadoop vs SQL Hadoop vs SQL both are open-source software that is used to store data. We are using SQL to store data in a structured format, whereas Hadoop is used to store data in both structured as well as unstructured formats. An open-source framework is supported by Hadoop. In … [Read more...] about Hadoop vs SQL

Definition of Big Data vs Data Science Big data vs data science both are different terms, we are using this related to data. Unstructured, and structured data are all subjects of data science. It involves procedures like data preparation, analysis, and cleaning, among other things. Big data is used … [Read more...] about Big Data vs Data Science

Definition of Small Data vs Big Data Small data vs big data differ from each other. Small data with current decision-impacting frequency is referred to as small data and it contains a small volume of data so humans easily understood. The big data phrase has gained a lot of popularity in recent … [Read more...] about Small Data vs Big Data

Definition of Hive vs HBase Hive vs Hbase is Hadoop based solution used for big data. Both technologies we use to serve different purposes and real-time scenarios. We recommended using hive to analyze the data of time series, it evaluates a website and logs trends. Using a real-time query in a … [Read more...] about Hive vs HBase

Definition of HBase vs Cassandra HBase vs Cassandra architecture is different, but both contain NoSQL databases. Basically, HBase architecture is designed to support data management, whereas Cassandra architecture supports management and data storage without relying on other systems. Hbase uses a … [Read more...] about HBase vs Cassandra

Definition of Spark vs MapReduce Spark vs MapReduce is an open-source distributed system that is used to handle the workloads of big data. The Spark and MapReduce framework improves the performance of query processing in varying data sizes by using good execution of the query and caching into the … [Read more...] about Spark vs MapReduce