Cinchy Table
Cinchy Tables are commonly used data sync sources.
Example Use Case: You want to set up batch sync between a Cinchy Table and Hubspot to sync important sales analytics information. You can do so by using the Cinchy Table as your source, and a REST API as your target.
The Cinchy Table source supports batch syncs. To do a real-time sync from a Cinchy Table, you would use the Cinchy Event Broker/CDC Source instead.
You can review the parameters that can be found in the info tab below (Image 1).
Parameter | Description | Example |
---|---|---|
Title | Mandatory. Input a name for your data sync | Cinchy to Hubspot |
Version | Mandatory. This is a pre-populated field containing a version number for your data sync. You can override it if you wish. | 1.0.0 |
Parameters | |

Image 1: The Info Tab
The following table outlines the mandatory and optional parameters you will find on the Source tab (Image 2).
Source Details
Schema
Filter
The following parameters will help to define your data sync source and how it functions.
Parameter | Description | Example |
---|---|---|
Source | Mandatory. Select your source from the drop down menu. | Cinchy Table |
Domain | Mandatory. The domain where your source table resides. | Product |
Table Name | Mandatory. The name of you source table. | Q1 Sales |
Suppress Duplicate Errors | Optional. This field determines whether duplicate keys in the source are to be reported as warnings (unchecked) or ignored (checked). The default is unchecked.
Checking this box can be useful in the event that you only want to load the distinct values from a collection of columns in the source. | |
The Schema section is where you define which source columns you want to sync in your connection. You can repeat the values for multiple columns.
Parameter | Description | Example |
---|---|---|
Name | Mandatory. The name of your column as it appears in the source. | Name |
Alias | Optional. You may choose to use an alias on your column so that it has a different name in the data sync. | |
Data Type | Mandatory. The data type of the column values. | Text |
Description | Optional. You may choose to add a description to your column. | |
There are other options available for the Schema section if you click on Show Advanced.
Parameter | Description | Example |
---|---|---|
Mandatory |
| |
Validate Data |
| |
Trim Whitespace | If your data type was chosen as "text", you can choose whether to trim the whitespace (that is, spaces and other non-printing characters). | |
Max Length | Optional. You can input a numerical value in this field that represents the maximum length of the data that can be synced in your column. If the value is exceeded, the row will be rejected (you can find this error in the Execution Log). | |
You can choose to add in a Transformation > String Replacement by inputting the following:
Parameter | Description | Example |
---|---|---|
Pattern | Mandatory if using a Transformation. The pattern for your string replacement, i.e. the string that will be searched and replaced. | |
Replacement | What you want to replace your pattern with. | |
Note that you can have more than one String Replacement
You have the option to add a source filter to your data sync. Please review the documentation here for more information on source filters.

Image 2: Define your Source
- Click Jobs > Start a Job to begin your sync.