SeekWell: Postgres, MySQL, Snowflake, MS SQL, SQL
4.7/5 (out of 15 reviews ) | 📥 7496 installs | 💲 N/A
Send Postgres, MySQL, Snowflake, Redshift, MS SQL to Sheets and refresh automatically. You can also sync data from Sheets back to your database.
Frequently Asked Questions
1. What is the rating of the SeekWell: Postgres, MySQL, Snowflake, MS SQL, SQL?
The SeekWell: Postgres, MySQL, Snowflake, MS SQL, SQL has a rating of 4.7 out of 5 based on 15 reviews.
2. How many active users does the SeekWell: Postgres, MySQL, Snowflake, MS SQL, SQL have?
The SeekWell: Postgres, MySQL, Snowflake, MS SQL, SQL has a user base of 7496 active users.
3. What is the cost of the SeekWell: Postgres, MySQL, Snowflake, MS SQL, SQL?
The cost of the SeekWell: Postgres, MySQL, Snowflake, MS SQL, SQL is N/A.
4. How to download the SeekWell: Postgres, MySQL, Snowflake, MS SQL, SQL?
To install SeekWell: Postgres, MySQL, Snowflake, MS SQL, SQL follow the below step:
- Visit the following link: SeekWell: Postgres, MySQL, Snowflake, MS SQL, SQL
- Click on the “Install” button located on the right side of the page.
- A prompt will appear requesting access permissions for the addon. Review the permissions requested
and click on the “Continue” button. - If prompted, choose the Google account associated with your Google Workspace or Gmail account that
you want to use with the addon. - Review the permissions again and click on the “Allow” button to grant the necessary permissions.
- The installation process will begin, and you’ll see a progress indicator.
- Once the installation is complete, you’ll see a confirmation message indicating that the SeekWell: Postgres, MySQL, Snowflake, MS SQL, SQL
addon has been successfully installed to your account. - You can now access the addon. The specific steps to use the addon will depend on its functionality.
Refer to the addon’s documentation or instructions provided by the developer for guidance on how to
use it effectively.
Top Keywords that are used in the SeekWell: Postgres, MySQL, Snowflake, MS SQL, SQL addon’s description :
| Keyword | Count |
|---|---|
| data | 9 |
| sql | 7 |
| sheets | 7 |
| database | 4 |
| without | 3 |
| we’ve | 3 |
| mike | 3 |
| team | 3 |
| postgres | 2 |
| 2 | |
| write | 2 |
| automate | 2 |
| also | 2 |
| sync | 2 |
| back | 2 |
| Keyword | Count |
|---|---|
| data sheets | 3 |
| write sql | 2 |
| we’ve also | 2 |
| sync data | 2 |
| sheets back | 2 |
| back database | 2 |
| data team | 2 |
| connect database | 1 |
| database mysql | 1 |
| mysql postgres | 1 |
| postgres snowflake | 1 |
| snowflake redshift | 1 |
| redshift microsoft | 1 |
| microsoft sql | 1 |
| sql server | 1 |
| Keyword | Count |
|---|---|
| sync data sheets | 2 |
| data sheets back | 2 |
| sheets back database | 2 |
| connect database mysql | 1 |
| database mysql postgres | 1 |
| mysql postgres snowflake | 1 |
| postgres snowflake redshift | 1 |
| snowflake redshift microsoft | 1 |
| redshift microsoft sql | 1 |
| microsoft sql server | 1 |
| sql server sql | 1 |
| server sql google | 1 |
| sql google cloud | 1 |
| google cloud sql | 1 |
| cloud sql write | 1 |
