Apache Impala vs MongoDB: What are the differences?
What is Apache Impala? 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.
What is MongoDB? The database for giant ideas. MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Apache Impala can be classified as a tool in the "Big Data Tools" category, while MongoDB is grouped under "Databases".
"Super fast" is the primary reason why developers consider Apache Impala over the competitors, whereas "Document-oriented storage" was stated as the key factor in picking MongoDB.
Apache Impala and MongoDB are both open source tools. MongoDB with 19.7K GitHub stars and 4.79K forks on GitHub appears to be more popular than Apache Impala with 3 GitHub stars and 4 GitHub forks.
According to the StackShare community, MongoDB has a broader approval, being mentioned in 3943 company stacks & 50403 developers stacks; compared to Apache Impala, which is listed in 18 company stacks and 87 developer stacks.
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What is Apache Impala?
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