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 typical in data warehouse scenarios. It provides high-performance, low-latency SQL queries and also offers interactive query processing on data stored in Hadoop file formats.
2. Oracle :
Oracle is a commercial software developed by Oracle Corporation. Oracle widely uses RDBMS. Oracle allows quick and safe store and retrieval of data. 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 networking stack, allows application from a different platform to communicate with the Oracle easily.
Difference between Impala and Oracle :
|1.||It was developed by Cloudera.||It was developed by Oracle Corporation.|
|2.||It was launched in 2013.||It was launched in 1980.|
|3.||It is an open source software.||It is commercial.|
|4.||Impala is implemented in C++ language.||Oracle is implemented in C and C++ languages.|
|5.||It does not support XML.||XML support is available.|
|6.||JDBC and ODBC are the APIs and access methods used in Impala.||JDBC, ODBC, ODP.NET and Oracle Call Interface (OCI) are the APIs and access methods used in Oracle.|
|7.||It uses Sharding partitioning methods for storing different data on different nodes.||It uses Horizontal partitioning with the Optional Oracle Partitioning methods.|
|8.||No concept of referential integrity (Foreign key).||Referential integrity is used in Oracle.|
|9.||No transaction concepts.||ACID properties of transaction is used.|
|10.||There is no option to define some or all structures to be held in-memory only.||It provide option to define some or all structures to be held in-memory only.|
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