Apache Spark vs. Presto vs. Apache Kylin

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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 Apache Kylin?

Apache Kylin™ is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large datasets, originally contributed from eBay Inc.
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 Kylin?
Why do you like Apache Kylin?

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 Kylin?
No Cons submitted yet for Apache Kylin
Downsides of Apache Kylin?

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

What companies use Apache Spark?
330 companies on StackShare use Apache Spark
What companies use Presto?
27 companies on StackShare use Presto
What companies use Apache Kylin?
1 companies on StackShare use Apache Kylin
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 Apache Kylin?
5 tools on StackShare integrate with Apache Kylin

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

  • Apache Flink - Fast and reliable large-scale data processing engine
  • Amazon Athena - Query S3 Using SQL
  • Druid - Fast column-oriented distributed data store
  • Impala - Real-time Query for Hadoop

See all alternatives to Apache Spark



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