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s3-lambda vs Apache Impala: What are the differences?
s3-lambda: Lambda functions over S3 objects: each, map, reduce, filter. s3-lambda enables you to run lambda functions over a context of S3 objects. It has a stateless architecture with concurrency control, allowing you to process a large number of files very quickly. This is useful for quickly prototyping complex data jobs without an infrastructure like Hadoop or Spark; 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.
s3-lambda and Apache Impala belong to "Big Data Tools" category of the tech stack.
s3-lambda 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 s3-lambda with 1.05K GitHub stars and 41 GitHub forks.
Pros of Apache Impala
- Super fast11
- Massively Parallel Processing1
- Load Balancing1
- Replication1
- Scalability1
- Distributed1
- High Performance1
- Open Sourse1