Apache Spark vs. Presto vs. Apache Flink

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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 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 Apache Flink?

Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.

Pros

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 Apache Flink?
Why do you like Apache Flink?

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

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

Companies

What companies use Apache Spark?
225 companies on StackShare use Apache Spark
What companies use Presto?
17 companies on StackShare use Presto
What companies use Apache Flink?
15 companies on StackShare use Apache Flink

Integrations

What tools integrate with Apache Spark?
10 tools on StackShare integrate with Apache Spark
What tools integrate with Presto?
16 tools on StackShare integrate with Presto
What tools integrate with Apache Flink?
5 tools on StackShare integrate with Apache Flink

What are some alternatives to Apache Spark, Presto, and Apache Flink?

  • Druid - Fast column-oriented distributed data store
  • Amazon Athena - Query S3 Using SQL
  • Impala - Real-time Query for Hadoop
  • Pig - Platform for analyzing large data sets

See all alternatives to Apache Spark



Interest Over Time


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