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What is SQLNotebook?

SQL Notebooks allow developers to effortlessly integrate Markdown with SQL, creating dynamic HTML5 reports. They offer a modern HTML5 interface that supports real-time data queries, enhancing user experience. With these notebooks, users can design visually appealing, live-updating documents, effectively manage code version control, and generate static snapshots to share with colleagues who do not have database access. They are included in QStudio Version 4, which is a desktop SQL client that prioritizes local markdown file editing, as well as Pulse Version 3, an online collaborative team server, catering to diverse user requirements. To help beginners, a series of example notebooks has been created in collaboration with leading community contributors; these examples consist of static snapshots featuring sample data, and the original markdown along with most of the necessary data for recreation can be accessed on GitHub. Moreover, these resources not only facilitate an easier learning curve but also motivate users to explore innovative ideas and develop their own distinct projects, empowering them to take full advantage of the features offered by SQL Notebooks.

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
GitHub
Heroku
MariaDB
Markdown
MySQL
PostgreSQL
SQL
SQL Server

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

TimeStored

Company Location

United Kingdom

Company Website

www.timestored.com/sqlnotebook/

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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