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Apache Kylin
Apache Kylin

23
30
+ 1
8
Mara
Mara

2
6
+ 1
3
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Apache Kylin vs Mara: What are the differences?

What is Apache Kylin? OLAP Engine for Big Data. 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.

What is Mara? A lightweight ETL framework. A lightweight ETL framework with a focus on transparency and complexity reduction.

Apache Kylin and Mara can be categorized as "Big Data" tools.

Some of the features offered by Apache Kylin are:

  • Extremely Fast OLAP Engine at Scale
  • ANSI SQL Interface on Hadoop
  • Interactive Query Capability

On the other hand, Mara provides the following key features:

  • Data integration pipelines as code: pipelines, tasks and commands are created using declarative Python code.
  • PostgreSQL as a data processing engine.
  • Extensive web ui. The web browser as the main tool for inspecting, running and debugging pipelines.

Apache Kylin and Mara are both open source tools. Apache Kylin with 2.21K GitHub stars and 983 forks on GitHub appears to be more popular than Mara with 1.22K GitHub stars and 49 GitHub forks.

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.

What is Mara?

A lightweight ETL framework with a focus on transparency and complexity reduction.
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          What are some alternatives to Apache Kylin and Mara?
          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.
          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.
          Druid
          Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
          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.
          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.
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