- 1 Is Athena based on Hive?
- 2 Is Athena same as Presto?
- 3 What is AWS Athena based on?
- 4 Is Athena a data warehouse?
- 5 Can Athena query RDS?
- 6 What database is Athena?
- 7 What is Presto and Hive?
- 8 What is the difference between Athena and Redshift?
- 9 Is Athena a RDS?
- 10 Can Athena query snowflake?
- 11 What query language does Athena use?
- 12 Can S3 use Hive?
Is Athena based on Hive?
Amazon Athena uses Hive only for DDL (Data Definition Language) and for creation/modification and deletion of tables and/or partitions. … You can run ANSI-Compliant SQL SELECT statements to query your data in Amazon S3.
Is Athena same as Presto?
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. … 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 AWS Athena based on?
The technology is based on the open-source Facebook Presto or PrestoDB software. Given this lineage, it offers teams a serverless front-end SQL query engine for an ETL or ELT process to load the data to an AWS S3 data lake.
Is Athena a data warehouse?
How is Athena different from a database or data warehouse? Athena is not a database but rather a query engine. This means that: Compute and storage are separate: databases both store data in rest, and provision the resources needed in order to perform queries and calculations.
Can Athena query RDS?
Configure RDS as Data Source. You configure PostgreSQL RDS instance as the data source for Amazon Athena so that you can query RDS data from the Athena Query Editor. Goto Athena Management console and click on Data sources link.
What database is 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.
What is Presto and Hive?
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.
What is the difference between Athena and Redshift?
Athena is a serverless service and does not need any infrastructure to create, manage, or scale data sets. It works directly on top of Amazon S3 data sets. … On the other hand, Redshift is a petabyte-scale data warehouse used together with business intelligence tools for modern analytical solutions.
Is Athena a RDS?
Prebuilt Athena data source connectors exist for data sources like Amazon CloudWatch Logs, Amazon DynamoDB, Amazon DocumentDB, and Amazon RDS, and JDBC-compliant relational data sources such MySQL, and PostgreSQL under the Apache 2.0 license.
Can Athena query snowflake?
Athena Federated query works great for queries with predicate filtering because the predicates are pushed down to the Snowflake database. Use filter and limited-range scans in your queries to avoid full table scans.
What query language does Athena use?
Structured Query Language (SQL)
Amazon Athena enables users to analyze data in Amazon S3 using Structured Query Language (SQL). The tool is designed for quick, ad hoc and complex analysis. Because Athena is a serverless query service, analysts do not need to manage any underlying compute infrastructure to use it.
Can S3 use Hive?
Hive Use Cases Airbnb uses Amazon EMR to run Apache Hive on a S3 data lake. Running Hive on the EMR clusters enables Airbnb analysts to perform ad hoc SQL queries on data stored in the S3 data lake.