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Alooma vs 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, 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 belongs to "Big Data as a Service" category of the tech stack, while Impala can be primarily classified under "Big Data Tools".
Impala is an open source tool with 2.17K GitHub stars and 825 GitHub forks. Here's a link to Impala's open source repository on GitHub.
Pros of Alooma
Pros of Apache Impala
- Super fast11
- Massively Parallel Processing1
- Load Balancing1
- Replication1
- Scalability1
- Distributed1
- High Performance1
- Open Sourse1