Apache Spark vs. Airpal vs. CDAP

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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.

What is CDAP?

Cask Data Application Platform (CDAP) is an open source application development platform for the Hadoop ecosystem that provides developers with data and application virtualization to accelerate application development, address a broader range of real-time and batch use cases, and deploy applications into production while satisfying enterprise requirements.

Pros

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

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

Why do developers choose CDAP?
Why do you like CDAP?

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?

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

Pricing

How much does Apache Spark cost?
How much does Airpal cost?
How much does CDAP cost?

Companies

What companies use Apache Spark?
224 companies on StackShare use Apache Spark
What companies use Airpal?
2 companies on StackShare use Airpal
What companies use CDAP?
2 companies on StackShare use CDAP

Integrations

What tools integrate with Apache Spark?
10 tools on StackShare integrate with Apache Spark
What tools integrate with Airpal?
4 tools on StackShare integrate with Airpal
What tools integrate with CDAP?
1 tools on StackShare integrate with CDAP

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

  • 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



Interest Over Time


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