Apache Spark vs. Airpal

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14

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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 Airpal?

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

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Pros

Why do developers choose Apache Spark?
Why do you like Apache Spark?

Why do developers choose Airpal?
Why do you like Airpal?

Cons

What are the cons of using Apache Spark?
No Cons submitted yet for Apache Spark
Downsides of Apache Spark?

What are the cons of using Airpal?
No Cons submitted yet for Airpal
Downsides of Airpal?

Companies

What companies use Apache Spark?
225 companies on StackShare use Apache Spark
What companies use Airpal?
2 companies on StackShare use Airpal

Integrations

What tools integrate with Apache Spark?
11 tools on StackShare integrate with Apache Spark
What tools integrate with Airpal?
4 tools on StackShare integrate with Airpal

What are some alternatives to Apache Spark and Airpal?

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

See all alternatives to Apache Spark



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