Apache Spark vs. Impala vs. Airpal

Get help choosing one of these Get news updates about these tools


Heads up: you're comparing apples to oranges. Tools belonging to different groups are often not directly comparable because they usually have different intended purposes and benefits.

Apache Spark

Impala

Airpal

Favorites

57

Favorites

8

Favorites

14

Hacker News, Reddit, Stack Overflow Stats

  • -
  • 394
  • 0
  • -
  • -
  • 1.08K
  • 30
  • 139
  • 0

GitHub Stats

Description

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.

What is 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 Airpal?

A web-based query execution tool built on top of Facebook's PrestoDB.

Pros about this tool

Pros
Why do you like Apache Spark?

Pros
Why do you like Impala?

Pros
Why do you like Airpal?

Companies

221 Companies Using Apache Spark
12 Companies Using Impala
2 Companies Using Airpal

Integrations

Apache Spark Integrations
Impala Integrations
Airpal Integrations

What are some alternatives to Apache Spark, Impala, and Airpal?

  • Apache Flink - Fast and reliable large-scale data processing engine
  • Druid - Fast column-oriented distributed data store
  • Presto - Distributed SQL Query Engine for Big Data (by Facebook)
  • Amazon Athena - Query S3 Using SQL

See all alternatives to Apache Spark



Interest Over Time


Get help choosing one of these