Amazon Athena vs. PartiQL Comparison


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About 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. Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds. With Athena, there’s no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets. Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to create a unified metadata repository across various services, crawl data sources to discover schemas and populate your Catalog with new and modified table and partition definitions, and maintain schema versioning.	About PartiQL's extensions to SQL are easy to understand, treat nested data as first class citizens and compose seamlessly with each other and SQL. This enables intuitive filtering, joining and aggregation on the combination of structured, semistructured and nested datasets. PartiQL enables unified query access across multiple data stores and data formats by separating the syntax and semantics of a query from the underlying format of the data or the data store that is being accessed. It enables users to interact with data with or without regular schema. PartiQL syntax, semantics, the embeddable reference interpreter, CLI, test framework, and tests are licensed under the Apache License, version 2.0, allowing you to freely use, copy, and distribute your changes under the terms of your choice.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Organizations that want to start running powerful database queries	Audience Developers wanting a powerful Database solution
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 4.5 / 5 ease 5.0 / 5 features 5.0 / 5 design 4.5 / 5 support 4.5 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros I appreciate this query engine and the quick and insightful results that it provides for each search. Simple to use. Fully automated and managed. Parquet file conversion. Table creation. Pay only for what you query. Cons Sometimes the keywords aren't quite understood in my search or question. In my basic usage i didn't find any issues with it.
Training Documentation Supported Webinars Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Amazon Founded: 1994 United States aws.amazon.com/athena/	Company Information PartiQL partiql.org
Alternatives Google Cloud BigQuery Google	Alternatives GraphDB Ontotext
MongoDB Atlas MongoDB	Mongoose
Amazon Redshift Amazon	JackDB
Amazon Timestream Amazon	StreamScape
StarTree View All	InventDB View All
Categories Data Analysis Supported Database Supported Database as a Service (DBaaS) Supported Query Engines Supported	Categories Database Supported

Integrations AI Query Supported AWS HealthLake Supported AWS Lake Formation Supported Amazon SageMaker Data Wrangler Supported Amazon Transcribe Supported Commvault HyperScale X Supported Data Sentinel Supported Embeddable Supported GetDot.ai Supported Immuta Supported Meltano Supported Metabase Supported Mitzu Supported PopSQL Supported Qlik Staige Supported Qrvey Supported Quickwork Supported Zoho DataPrep Supported data.world Supported nao Supported Show More Integrations View All 108 Integrations	Integrations AI Query Not Supported AWS HealthLake Not Supported AWS Lake Formation Not Supported Amazon SageMaker Data Wrangler Not Supported Amazon Transcribe Not Supported Commvault HyperScale X Not Supported Data Sentinel Not Supported Embeddable Not Supported GetDot.ai Not Supported Immuta Not Supported Meltano Not Supported Metabase Not Supported Mitzu Not Supported PopSQL Not Supported Qlik Staige Not Supported Qrvey Not Supported Quickwork Not Supported Zoho DataPrep Not Supported data.world Not Supported nao Not Supported Show More Integrations View All 5 Integrations
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