1.黑斑羚：
Impala是在Hadoop上运行的查询引擎。它对存储在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。它支持内存中的数据处理。它开创了Parquet文件格式的使用，Parquet文件格式是一种列式存储布局，已针对数据仓库场景中典型的大规模查询进行了优化。
2. dBASE：
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。它用于创建和处理关系数据库(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，例如USE，GO TOP等。 Impala和dBASE之间的区别：
| 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. |