📜  Impala 和 dBASE 的区别

📅  最后修改于: 2021-09-15 01:59:14             🧑  作者: Mango

1. 黑斑羚:
Impala 是一个运行在 Hadoop 上的查询引擎。它为存储在 Hadoop 中的数据提供高性能、低延迟的 SQL 查询。它是一个开源软件。它支持内存数据处理。它率先使用 Parquet 文件格式,这是一种列式存储布局,针对数据仓库场景中典型的大规模查询进行了优化。

2. 数据库:
dBASE 是最成功的微型计算机数据库管理系统之一。它是第一个商业上成功的个人计算机数据库系统。它用于创建和操作关系数据库 (RDBMS)。 DBASE 使用类似于 BASIC 语言的过程函数和命令。它使用简单的命令进行数据操作,如 USE、GO TOP 等。 Impala 和 dBASE 的区别:

S.NO. Impala dBASE
1. It was developed by Cloudera. It was developed by Asthon Tate.
2. It was launched in 2013. It was launched in 1979.
3. Run over operating system is Linux. Run over operating systems are DOS (dBASE Classic) and Windows (dBASE Pro).
4. It is an open-source software. It is a commercial software.
5. JDBC and ODBC are the APIs and access methods used in Impala. No APIs and access method are used in dBASE.
6. All programming languages supporting JDBC/ODBC are supported by Impala. dBASE proprietary IDE is supported by dBASE.
7. Impala uses Sharding partitioning method for storing different data on different nodes. dBASE does not use any partitioning method.
8. No concept of referential integrity and no Foreign keys in Impala. Referential integrity is used in dBASE.
9. It uses Selectable Replication Factor for redundantly storing data on multiple nodes. It does not use any replication method.
10. There are no transaction concepts in Impala. There are no transaction concepts for dBASE internal data, but IDE does support transactions when accessing external DBMS.