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What is Mingo?

Instantly access data relationships right within the document itself. Mingo smartly detects document references and offers a preview or lets you open the document with just a click. By minimizing the number of clicks and tasks required, you can streamline your workflow and work more efficiently. Gather all vital data into a clear overview and create a customized dashboard that showcases the information that is most relevant to you. The Mingo Aggregator is specifically designed to support you in this endeavor. Featuring an intuitive visual interface, it provides a straightforward understanding of the pipeline's operations, presents the results at each phase, and identifies any potential errors. As you enter commands, the Aggregator offers autocomplete suggestions, checks your code for accuracy, and pulls up sample outcomes for each step, ensuring you receive immediate feedback and confirming whether your coding behaves as expected. Furthermore, if you require assistance with command usage, easy-to-access links to documentation are available to enhance your experience, making it even more user-friendly. This multifaceted tool serves as a valuable resource for anyone aiming to improve their data management and coding productivity, ultimately transforming the way you work with data.

What is JackDB?

Discover the engaging SQL editor provided by JackDB, which is packed with features designed to elevate your database management tasks, such as syntax highlighting, organized code formatting, and advanced autocompletion capabilities. The snippets feature allows users to conveniently save and share their most commonly utilized SQL queries, enabling effortless writing and storage of any query within JackDB, which can be distributed among team members easily. Whenever a snippet is modified, all team members are promptly updated with the latest version, fostering a collaborative work environment. At JackDB, we place the utmost importance on security, employing roles that effectively restrict database access to only those who are authorized, while also streamlining the onboarding process for new users to data sources. Users can explore every facet of their database, going beyond just basic tables and views to analyze indexes, schemas, and other vital system data, including tablespaces and user sessions. This thorough methodology guarantees that your database management remains not only effective but also secure, making JackDB an essential resource for any team aiming for efficiency. Additionally, the user-friendly interface ensures that both novice and experienced users can navigate the platform with ease, further enhancing the overall experience.

Media

Media

Integrations Supported

Amazon Aurora
Amazon RDS
Amazon Redshift
Apache Cassandra
Azure SQL Database
Heroku
MariaDB
MongoDB
MySQL
PostgreSQL
SQL Server

Integrations Supported

Amazon Aurora
Amazon RDS
Amazon Redshift
Apache Cassandra
Azure SQL Database
Heroku
MariaDB
MongoDB
MySQL
PostgreSQL
SQL Server

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$49 per user per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mingo

Company Website

mingo.io

Company Facts

Organization Name

JackDB

Date Founded

2014

Company Location

United States

Company Website

www.jackdb.com/product/

Categories and Features

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

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