Apache Spark vs Apache Impala: What are the differences?
What is Apache Spark? Fast and general engine for large-scale data processing. Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
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.
Apache Spark and Apache Impala belong to "Big Data Tools" category of the tech stack.
Some of the features offered by Apache Spark are:
- Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk
- Write applications quickly in Java, Scala or Python
- Combine SQL, streaming, and complex analytics
On the other hand, Apache Impala provides the following key features:
- Do BI-style Queries on Hadoop
- Unify Your Infrastructure
- Implement Quickly
"Open-source" is the top reason why over 45 developers like Apache Spark, while over 7 developers mention "Super fast" as the leading cause for choosing Apache Impala.
Apache Spark and Apache Impala are both open source tools. It seems that Apache Spark with 22.9K GitHub stars and 19.7K forks on GitHub has more adoption than Apache Impala with 2.19K GitHub stars and 825 GitHub forks.
According to the StackShare community, Apache Spark has a broader approval, being mentioned in 356 company stacks & 566 developers stacks; compared to Apache Impala, which is listed in 17 company stacks and 37 developer stacks.
What is Apache Impala?
What is Apache Spark?
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Spark is good at parallel data processing management. We wrote a neat program to handle the TBs data we get everyday.