Apache Impala vs Azure Data Factory: What are the differences?
Developers describe Apache Impala as "Real-time Query for Hadoop". Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time. On the other hand, Azure Data Factory is detailed as "Create, Schedule, & Manage Data Pipelines". It is a service designed to allow developers to integrate disparate data sources. It is a platform somewhat like SSIS in the cloud to manage the data you have both on-prem and in the cloud.
Apache Impala and Azure Data Factory belong to "Big Data Tools" category of the tech stack.
Some of the features offered by Apache Impala are:
- Do BI-style Queries on Hadoop
- Unify Your Infrastructure
- Implement Quickly
On the other hand, Azure Data Factory provides the following key features:
- Real-Time Integration
- Parallel Processing
- Data Chunker
Apache Impala and Azure Data Factory are both open source tools. It seems that Apache Impala with 2.22K GitHub stars and 834 forks on GitHub has more adoption than Azure Data Factory with 150 GitHub stars and 255 GitHub forks.