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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 PopSQL?

PopSQL represents the next generation of SQL editors, moving beyond traditional tools like DataGrip, DBeaver, and Postico. It offers a sleek, contemporary SQL editor tailored for data-centric teams eager to enhance efficiency, ensure data accuracy, streamline the onboarding process for new employees, and quickly provide valuable insights to the organization. With PopSQL, users can effortlessly navigate their data models, write SQL with version control, collaborate in real-time, visualize data through charts and dashboards, schedule reports, share findings, and categorize essential queries for easy access and discovery. Even teams utilizing robust BI tools such as Tableau or Looker, or juggling various SQL editors, will find that PopSQL fosters effective collaboration among SQL experts, novice analysts, and even less technical members who crave data insights. Additionally, the platform is compatible across macOS, Windows, and Linux, ensuring accessibility for all users. Importantly, it supports a wide range of data sources, including Snowflake, Redshift, BigQuery, Clickhouse, Databricks, Athena, MongoDB, PostgreSQL, MySQL, SQL Server, SQLite, Presto, Cassandra, and many others, making it a versatile choice for diverse data environments.

Media

Media

Integrations Supported

Slack
Snowflake
DataGrip
Looker

Integrations Supported

Slack
Snowflake
Amazon Athena
Amazon Redshift
Apache Cassandra
Azure Synapse Analytics
ClickHouse
Databricks
Freshpaint
Google Cloud BigQuery
MongoDB
MySQL
Oracle Database
PostgresML
Presto
SQL
SQL Server
SQLite

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$199 per month
14-day free trial.

$159 per month if billed annually
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

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

Company Facts

Organization Name

Sherloq

Date Founded

2023

Company Website

www.sherloqdata.io

Company Facts

Organization Name

PopSQL

Date Founded

2017

Company Location

United States

Company Website

popsql.com

Categories and Features

Database

Not specified

Categories and Features

Business Intelligence

Dashboard
Data Analysis
Key Performance Indicators
Performance Metrics
Visual Analytics

Dashboard

Not specified

Data Catalog

Not specified

Data Management

Not specified

Data Visualization

Analytics
Dashboard Creation
Visual Discovery

Database

Not specified

SQL Editors

Not specified

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