Difference between Hive and Oracle Last Updated : 28 Jun, 2022 Summarize Comments Improve Suggest changes Share Like Article Like Report 1. Hive : Hive is an open-source data warehouse software. It is built on the top of Hadoop. It also provides HiveQL which is similar to SQL. Hive is used for querying and managing distributed datasets built on Hadoop. Hive uses RDBMS as a primary database model. 2. Oracle : Oracle is commercial software developed by Oracle Corporation. Oracle widely uses RDBMS. It is used for running Online Transaction Processing and Data Warehousing. Oracle runs on the most major operating systems like Mac OS, UNIX, Windows and Linux. Oracle has a networking stack, allows applications from a different platform to communicate with the Oracle easily. Difference between Hive and Oracle : S.NO.HiveOracle1.It is developed by Apache Software Foundation.It is developed by Oracle Corporation.2.It was launched in 2012.It was launched in 1980.3.It is implemented in Java.It is implemented in C and C++.4.It uses Sharding partitioning method for storing different data on different nodes.It uses Horizontal partitioning method for storing different data on different nodes.5.There are no transaction concepts.ACID properties of transaction are used.6.No concept of referential integrity and no Foreign keys.Referential integrity is used in Oracle.7.It is an open-source software.It is a commercial software.8.Eventual Consistency method ensures consistency in a distributed system.Immediate Consistency method ensures consistency.9.It offers API for user-defined Map/Reduce methods.It does not offer any API for user-defined Map/Reduce methods.10.JDBC, ODBC, Thrift are the APIs and access methods used in Hive.DBC, ODBC, ODP.NET, OCI are the APIs and access methods used in Oracle.11.Does not support triggers.It supports triggers. Comment More infoAdvertise with us Next Article Difference Between Hive and Hue C Chauhanvishesh99 Follow Improve Article Tags : DBMS Difference Between Hadoop Similar Reads Difference Between Hive and Hue To process and analyze big data, organizations use Hadoop, an open-source framework that handles vast amounts of structured and unstructured data. Within the Hadoop ecosystem, Hive and Hue serve different purposes. Hive is a data warehouse tool that enables users to run SQL-like queries on large dat 5 min read Difference between Impala and Oracle 1. Impala : Impala is a query engine that runs on Hadoop. It is an open source software and massively parallel processing SQL query engine. It supports in-memory data processing. It is pioneering the use of the Parquet file format, a columnar storage layout that is optimized for large-scale queries 2 min read Difference between Oracle and Firebase 1. Oracle : Oracle is a relational database management system (RDBMS). It was developed by Oracle Corporation in 1980. It is the first database designed for grid computing that provides the most flexible and cost-effective way to manage information and application. It runs on major platforms like Wi 2 min read Difference between SQL and HiveQL 1. Structured Query Language (SQL): SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system also known as RDBMS. It is also useful in handling structured data, i.e., data incorporating relations among entities and variables 2 min read Difference between RDBMS and Hive RDBMS and Hivey are both strong tools for organizing and accessing data, Relational Database Management Systems (RDBMS) and Apache Hive are designed for distinct use cases and goals. Hive is intended to manage large-scale data analytics and querying on top of the Hadoop environment, while RDBMS is g 4 min read Difference Between Oracle and MySQL MySQL and Oracle are two leading relational database management systems (RDBMS), each with unique strengths. MySQL is an open-source RDBMS that is famous for its simplicity, reliability, and performance, making it ideal for web applications.In this article, We will learn about the difference between 4 min read Like