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Apache Impala
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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?

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 Apache Spark?

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.
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    What are some alternatives to Apache Impala and Apache Spark?
    Presto
    Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.
    Apache Drill
    Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel.
    Apache Hive
    Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.
    Amazon Athena
    Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
    Apache Flink
    Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
    See all alternatives
    Decisions about Apache Impala and Apache Spark
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    Reviews of Apache Impala and Apache Spark
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    How developers use Apache Impala and Apache Spark
    Avatar of Wei Chen
    Wei Chen uses Apache SparkApache Spark

    Spark is good at parallel data processing management. We wrote a neat program to handle the TBs data we get everyday.

    Avatar of Ralic Lo
    Ralic Lo uses Apache SparkApache Spark

    Used Spark Dataframe API on Spark-R for big data analysis.

    Avatar of Kalibrr
    Kalibrr uses Apache SparkApache Spark

    We use Apache Spark in computing our recommendations.

    Avatar of BrainFinance
    BrainFinance uses Apache SparkApache Spark

    As a part of big data machine learning stack (SMACK).

    Avatar of Dotmetrics
    Dotmetrics uses Apache SparkApache Spark

    Big data analytics and nightly transformation jobs.

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