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1. • • What are the differences between Presto and Hadoop? Presto is an open source, distributed SQL query engine designed for fast, interactive queries on data in HDFS, and others. Unlike Hadoop/HDFS, it does not have its own storage system. Thus, Presto is complimentary to Hadoop, with organizations adopting both to solve a broader business challenge.
     aws.amazon.com/what-is/presto/

     What is Presto? - PrestoDB Explained - AWS

2. www.trustradius.com › apache-hadoop-vs-prestoCompare Apache Hadoop vs Presto on TrustRadius | Based on ...

   www.trustradius.com › apache-hadoop-vs-presto

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   Presto is an open source SQL query engine designed to run queries on data stored in Hadoop or in traditional databases. Teradata supported development of Presto followed the acquisition of Hadapt and Revelytix.

3. Videos

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     Hadoop In 5 Minutes | What Is Hadoop? | Introduction To Hadoop | Hadoop Explained |Simplilearn

     Jan 21, 2021

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     What Is Presto | PrestoDB Explained | Presto Overview Video | Intellipaat

     May 31, 2022

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     Installing Presto and querying Hive using it | Big Data Hadoop Tutorial

     Aug 15, 2022

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4. medium.com › @bragadeeshs › comparing-hadoop-sparkComparing Hadoop, Spark, Presto, and AWS Redshift: A ... - Medium

   medium.com › @bragadeeshs › comparing-hadoop-spark

   Oct 24, 2024 · Each has its strengths and ideal use cases, so choosing the right one depends on the specific needs of your project. Photo by Daniel Romero on Unsplash. In this article, we’ll dive into these four...

5. www.ibm.com › topics › prestoWhat Is Presto? - IBM

   www.ibm.com › topics › presto

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   While Presto isn’t the only SQL-on-Hadoop option available to developers and data engineers, its unique architecture that keeps query functionality separate from data storage makes it one of the most flexible.

6. en.wikipedia.org › wiki › Presto_(SQL_query_engine)Presto (SQL query engine) - Wikipedia

   en.wikipedia.org › wiki › Presto_(SQL_query_engine)

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   Unlike other Hadoop distribution-specific tools, such as Apache Impala, Presto can work with any variant of Hadoop or without it. Presto supports separation of compute and storage and may be deployed on-premises or using cloud computing.

7. www.peerspot.com › apache-hadoop_vs_prestoApache Hadoop vs Presto Comparison 2024 - PeerSpot

   www.peerspot.com › apache-hadoop_vs_presto

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   Apache Hadoop vs Presto: which is better? Base your decision on 12 verified in-depth peer reviews and ratings, pros & cons, pricing, support and more.

8. People also ask

   What is Presto vs Hadoop?

   • Presto is an open source, distributed SQL query engine designed for fast, interactive queries on data in HDFS, and others. Unlike Hadoop/HDFS, it does not have its own storage system. Thus, Presto is complimentary to Hadoop, with organizations adopting both to solve a broader business challenge.

   What is Presto? - PrestoDB Explained - AWS

   aws.amazon.com/what-is/presto/

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   What is Presto database?

   • Presto, or Presto database (PrestoDB), is an open-source, distributed SQL query engine that can query large data sets from different data sources, enabling enterprises to address data problems at scale. Presto gives organizations of all sizes a fast, efficient way to analyze big data from various sources including on-premise systems and the cloud.

   What Is Presto? - IBM

   www.ibm.com/topics/presto

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   What data sources does Presto use?

   • Its architecture allows users to query data sources such as Hadoop, Cassandra, Kafka, AWS S3, Alluxio, MySQL, MongoDB and Teradata, and allows use of multiple data sources within a query. Presto is community-driven open-source software released under the Apache License.

   Presto (SQL query engine) - Wikipedia

   en.wikipedia.org/wiki/Presto_(SQL_query_engine)

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   Is presto faster than Apache Hive?

   • Compared to the original Apache Hive execution model which used the Hadoop MapReduce mechanism on each query, Presto does not write intermediate results to disk, resulting in a significant speed improvement. Presto is written in Java. A Presto query can combine data from multiple sources.

   Presto (SQL query engine) - Wikipedia

   en.wikipedia.org/wiki/Presto_(SQL_query_engine)

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   Can a Presto query combine data from multiple sources?

   • A Presto query can combine data from multiple sources. Presto offers connectors to data sources including files in Alluxio, Hadoop Distributed File System (often called a data lake), Amazon S3, MySQL, PostgreSQL, Microsoft SQL Server, Amazon Redshift, Apache Kudu, Apache Phoenix, Apache Kafka, Apache Cassandra, Apache Accumulo, MongoDB and Redis.

   Presto (SQL query engine) - Wikipedia

   en.wikipedia.org/wiki/Presto_(SQL_query_engine)

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   Is Presto open source?

   • Presto is open source and can be installed manually. You can also use Presto with a data lakehouse solution such as IBM® watsonx.data for faster scaling of your AI workloads.

   What Is Presto? - IBM

   www.ibm.com/topics/presto

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9. levioconsulting.com › insights › getting-startedGetting Started with Presto & Hive on AWS

   levioconsulting.com › insights › getting-started

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   Presto vs Hive. Presto is preferably used for performing quick and fast data analysis that will not require very much memory. Presto is designed for low latency while on the other hand Hive is used for query throughput and queries that require very large amount of memory. We can also use both tools to explore data sitting on top of a Hadoop system.