Apache Spark vs. Presto vs. Amazon Athena

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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 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.

What is 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.
Why do developers choose Apache Spark?
Why do you like Apache Spark?

Why do developers choose Presto?
Why do you like Presto?

Why do developers choose Amazon Athena?
Why do you like Amazon Athena?

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 Presto?
No Cons submitted yet for Presto
Downsides of Presto?

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

Want advice about which of these to choose?Ask the StackShare community!

What companies use Apache Spark?
332 companies on StackShare use Apache Spark
What companies use Presto?
27 companies on StackShare use Presto
What companies use Amazon Athena?
54 companies on StackShare use Amazon Athena
What tools integrate with Apache Spark?
12 tools on StackShare integrate with Apache Spark
What tools integrate with Presto?
16 tools on StackShare integrate with Presto
What tools integrate with Amazon Athena?
7 tools on StackShare integrate with Amazon Athena

What are some alternatives to Apache Spark, Presto, and Amazon Athena?

  • Apache Flink - Fast and reliable large-scale data processing engine
  • Druid - Fast column-oriented distributed data store
  • Impala - Real-time Query for Hadoop
  • Pig - Platform for analyzing large data sets

See all alternatives to Apache Spark



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