Alooma vs Apache Impala: What are the differences?

Developers describe Alooma as "Integrate any data source like databases, applications, and any API - with your own Amazon Redshift". Get the power of big data in minutes with Alooma and Amazon Redshift. Simply build your pipelines and map your events using Alooma’s friendly mapping interface. Query, analyze, visualize, and predict now. 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.

Alooma can be classified as a tool in the "Big Data as a Service" category, while Apache Impala is grouped under "Big Data Tools".

Apache Impala is an open source tool with 3 GitHub stars and 4 GitHub forks. Here's a link to Apache Impala's open source repository on GitHub.

According to the StackShare community, Apache Impala has a broader approval, being mentioned in 18 company stacks & 87 developers stacks; compared to Alooma, which is listed in 5 company stacks and 18 developer stacks.