Singer vs Apache Impala: What are the differences?
Developers describe Singer as "Simple, Composable, Open Source ETL". Singer powers data extraction and consolidation for all of your organization’s tools: advertising platforms, web analytics, payment processors, email service providers, marketing automation, databases, and more. On the other hand, Apache Impala is detailed 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.
Singer and Apache Impala belong to "Big Data Tools" category of the tech stack.
Singer and Apache Impala are both open source tools. It seems that Apache Impala with 2.19K GitHub stars and 825 forks on GitHub has more adoption than Singer with 182 GitHub stars and 41 GitHub forks.
According to the StackShare community, Apache Impala has a broader approval, being mentioned in 17 company stacks & 37 developers stacks; compared to Singer, which is listed in 3 company stacks and 4 developer stacks.