Difference between Impala and MongoDB
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. Mongodb :
MongoDB is a cross-platform document-oriented and a non relational (i.e., NoSQL) database program. It is an open-source document database, that stores the data in the form of key-value pairs. MongoDB is developed by MongoDB Inc. and initially released on 11 February 2009. It is written in C++, Go, JavaScript, Python languages. MongoDB offers high speed, high availability, and high scalability.
Difference between Impala and MongoDB :
| S.No. | IMPALA | MONGODB |
|---|---|---|
| 1. | It is developed by Cloudera in 2013. | It is developed by MongoDB Inc. in 2009. |
| 2. | It is an open source software. | It is also an open source software. |
| 3. | Server operating systems for Impala is Linux. | Server operating systems for MongoDB are Solaris, Linux, OS X, Windows. |
| 4. | It do not support In-memory capabilities. | It support In-memory capabilities. |
| 5. | No transaction concepts. | ACID properties of transaction is used. |
| 6. | The replication method that Impala supports is Selectable Replication Factor. | The replication method that MongoDB supports is Master Slave Replication |
| 7. | All programming languages supporting JDBC/ODBC are supported by Impala. | It supports many programming languages like C, C#, Java, JavaScript, PHP, Lau, Python, R, Ruby, etc. |
| 8. | It support Sharding partitioning methods for storing different data on different nodes. | It support Sharding Partitioning methods. |
| 9. | JDBC and ODBC are used as APIs and access methods. | Proprietary protocol using JSON are used as APIs and other access methods. |
| 10. | The Primary database model is Relational DBMS. | The Primary database model is Document store. |
| 11. | Impala does not support triggers. | MongoDB supports triggers. |
| 12. | It supports data schema. | It is schema free. |
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