What is Airpal?
A web-based query execution tool built on top of Facebook's PrestoDB.
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 Airpal and Apache Spark?
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Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.
It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.
Open PostgreSQL Monitoring
Open PostgreSQL Monitoring is a free software designed to help you manage your PostgreSQL servers.
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How developers use Airpal and Apache Spark
Spark is good at parallel data processing management. We wrote a neat program to handle the TBs data we get everyday.