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What is Sherloq?

Continue your established practices as our plug-in effortlessly works with your current query editor, allowing us to support you in your usual workflow. This approach eliminates the necessity for any data or metadata integration. With our SQL repository, you can uncover and reuse the most relevant queries crafted by your team. You have the capability to save, share, categorize, and create different versions and folders for your SQL projects, which helps in organization. By leveraging your colleagues' contributions, you can avoid redundant coding efforts. Moreover, you can improve your own queries by using snippets to enhance productivity directly within your IDE, all without needing to access your data or perform any integration. Sherloq acts as the central hub for all your ad-hoc SQL queries. Utilizing the AI SQL repository plug-in enables you to work together in managing, saving, and sharing your SQL code without leaving your IDE, perfectly merging collaboration with individual workspace needs. This tool is designed for both those who are passionate about data and those who may not be as experienced. In addition, it automatically tracks and archives your SQL history for the entire team, ensuring that everyone remains informed about collective progress. This all-encompassing solution not only optimizes your workflow but also cultivates a more productive team atmosphere, ultimately enhancing overall performance and collaboration.

What is Amazon Athena?

Amazon Athena is an interactive query service that makes it easy to analyze data stored in Amazon S3 by utilizing standard SQL. Being a serverless offering, it removes the burden of infrastructure management, enabling users to pay only for the queries they run. Its intuitive interface allows you to directly point to your data in Amazon S3, define the schema, and start querying using standard SQL commands, with most results generated in just a few seconds. Athena bypasses the need for complex ETL processes, empowering anyone with SQL knowledge to quickly explore extensive datasets. Furthermore, it provides seamless integration with AWS Glue Data Catalog, which helps in creating a unified metadata repository across various services. This integration not only allows users to crawl data sources for schema identification and update the Catalog with new or modified table definitions, but also aids in managing schema versioning. Consequently, this functionality not only simplifies data management but also significantly boosts the efficiency of data analysis within the AWS ecosystem. Overall, Athena's capabilities make it an invaluable tool for data analysts looking for rapid insights without the overhead of traditional data preparation methods.

Media

Media

Integrations Supported

DataGrip
Slack

Integrations Supported

AWS HealthLake
AWS Lake Formation
Amazon S3 Express One Zone
Blotout
Causal
Commvault Cloud
Commvault HyperScale X
DashboardFox
Deepnote
Metabase
Observo AI
Onehouse
Pelanor
Qlik Staige
Quickwork
RazorSQL
Retool
Splunk SOAR

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sherloq

Date Founded

2023

Company Website

www.sherloqdata.io

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/athena/

Categories and Features

Database

Not specified

Categories and Features

Data Analysis

Not specified

Database

Not specified

Query Engines

Not specified

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