Crossbeam is currently in beta. The info in this guide is subject to change.
This integration is powered by Singer's Crossbeam tap. For support, visit the GitHub repo or join the Singer Slack.
Crossbeam integration summary
Stitch’s Crossbeam integration replicates data using the Crossbeam API. Refer to the Schema section for a list of objects available for replication.
Crossbeam feature snapshot
A high-level look at Stitch's Crossbeam (v1) integration, including release status, useful links, and the features supported in Stitch.
STITCH | |||
Release status |
Beta |
Supported by | |
Stitch plan |
Standard |
API availability |
Available |
Singer GitHub repository | |||
REPLICATION SETTINGS | |||
Anchor Scheduling |
Supported |
Advanced Scheduling |
Supported |
Table-level reset |
Unsupported |
Configurable Replication Methods |
Unsupported |
DATA SELECTION | |||
Table selection |
Supported |
Column selection |
Supported |
Select all |
Supported |
||
TRANSPARENCY | |||
Extraction Logs |
Supported |
Loading Reports |
Supported |
Connecting Crossbeam
Crossbeam setup requirements
To set up Crossbeam in Stitch, you need:
-
A Crossbeam application. For information on how to create one, see Crossbeam’s Developer Docs.
Step 1: Obtain your Crossbeam Uuid
- Login to your Crossbeam account.
- In the upper right-hand corner of the home page, click on your organization’s avatar.
- In the dropdown menu, click Settings.
- On the Settings page you’ll see your ogranization’s avatar and name. Underneath the name is the Uuid. Copy the Uuid and keep it readily available to continue with the integration.
Step 2: Add Crossbeam as a Stitch data source
- Sign into your Stitch account.
-
On the Stitch Dashboard page, click the Add Integration button.
-
Click the Crossbeam icon.
-
Enter a name for the integration. This is the name that will display on the Stitch Dashboard for the integration; it’ll also be used to create the schema in your destination.
For example, the name “Stitch Crossbeam” would create a schema called
stitch_crossbeam
in the destination. Note: Schema names cannot be changed after you save the integration. - In the Organization Uuid field, paste the Crossbeam Uuid that you obtained in step 1.
Step 3: Define the historical replication start date
The Sync Historical Data setting defines the starting date for your Crossbeam integration. This means that data equal to or newer than this date will be replicated to your data warehouse.
Change this setting if you want to replicate data beyond Crossbeam’s default setting of 1 year. For a detailed look at historical replication jobs, check out the Syncing Historical SaaS Data guide.
Step 4: Create a replication schedule
In the Replication Frequency section, you’ll create the integration’s replication schedule. An integration’s replication schedule determines how often Stitch runs a replication job, and the time that job begins.
Crossbeam integrations support the following replication scheduling methods:
-
Advanced Scheduling using Cron (Advanced or Premium plans only)
To keep your row usage low, consider setting the integration to replicate less frequently. See the Understanding and Reducing Your Row Usage guide for tips on reducing your usage.
Step 5: Set objects to replicate
The last step is to select the tables and columns you want to replicate. Learn about the available tables for this integration.
Note: If a replication job is currently in progress, new selections won’t be used until the next job starts.
For Crossbeam integrations, you can select:
-
Individual tables and columns
-
All tables and columns
Click the tabs to view instructions for each selection method.
- In the integration’s Tables to Replicate tab, locate a table you want to replicate.
-
To track a table, click the checkbox next to the table’s name. A blue checkmark means the table is set to replicate.
-
To track a column, click the checkbox next to the column’s name. A blue checkmark means the column is set to replicate.
- Repeat this process for all the tables and columns you want to replicate.
- When finished, click the Finalize Your Selections button at the bottom of the screen to save your selections.
- Click into the integration from the Stitch Dashboard page.
-
Click the Tables to Replicate tab.
- In the list of tables, click the box next to the Table Names column.
-
In the menu that displays, click Track all Tables and Fields:
- Click the Finalize Your Selections button at the bottom of the page to save your data selections.
Initial and historical replication jobs
After you finish setting up Crossbeam, its Sync Status may show as Pending on either the Stitch Dashboard or in the Integration Details page.
For a new integration, a Pending status indicates that Stitch is in the process of scheduling the initial replication job for the integration. This may take some time to complete.
Initial replication jobs with Anchor Scheduling
If using Anchor Scheduling, an initial replication job may not kick off immediately. This depends on the selected Replication Frequency and Anchor Time. Refer to the Anchor Scheduling documentation for more information.
Free historical data loads
The first seven days of replication, beginning when data is first replicated, are free. Rows replicated from the new integration during this time won’t count towards your quota. Stitch offers this as a way of testing new integrations, measuring usage, and ensuring historical data volumes don’t quickly consume your quota.
Crossbeam table reference
Schemas and versioning
Schemas and naming conventions can change from version to version, so we recommend verifying your integration’s version before continuing.
The schema and info displayed below is for version 1 of this integration.
This is the latest version of the Crossbeam integration.
Table and column names in your destination
Depending on your destination, table and column names may not appear as they are outlined below.
For example: Object names are lowercased in Redshift (CusTomERs
> customers
), while case is maintained in PostgreSQL destinations (CusTomERs
> CusTomERs
). Refer to the Loading Guide for your destination for more info.
partner_populations
The partner_populations
table contains information about the populations that your partners have shared with you in your Crossbeam account.
Full Table |
|
Primary Key |
id |
Useful links |
id INTEGER |
name STRING |
organization_id INTEGER |
population_type STRING |
partners
The partners
table contains information about your partners as well as partner invitations sent to you in your Crossbeam account.
Full Table |
|
Primary Key |
id |
Useful links |
clearbit_domain STRING |
||||
domain STRING |
||||
id INTEGER |
||||
logo_url STRING |
||||
name STRING |
||||
url STRING |
||||
users ARRAY
|
||||
uuid STRING |
populations
The populations
table contains information about all of your populations in your Crossbeam account.
Full Table |
|
Primary Key |
id |
Useful links |
base_schema STRING |
|||||||
base_table STRING |
|||||||
current_version OBJECT
|
|||||||
filter_expression ARRAY |
|||||||
filter_parts ARRAY
|
|||||||
id INTEGER |
|||||||
name STRING |
|||||||
population_type STRING |
|||||||
source_id INTEGER |
thread_timelines
The thread_timelines
table contains information about the activity for any given thread-id
in your Crossbeam account. This is a child table of threads
.
Full Table |
|
Primary Key |
id |
Useful links |
acting_organization_id INTEGER |
||||
created_at DATE-TIME |
||||
event_data OBJECT
|
||||
event_type STRING |
||||
id STRING |
||||
is_private BOOLEAN |
||||
message OBJECT
|
threads
The threads
table contains information about all threads initiated by you in your Crossbeam account.
Full Table |
|
Primary Key |
id |
Useful links |
author_id INTEGER |
company_domain STRING |
company_name STRING |
created_at DATE-TIME |
directionality STRING |
id STRING |
is_open BOOLEAN |
is_unread BOOLEAN |
last_comment_at DATE-TIME |
last_viewed_at DATE-TIME |
organization_id INTEGER |
owner_id INTEGER |
partner_organization_id INTEGER |
partner_owner_id INTEGER |
person_email STRING |
record_id STRING |
source_id INTEGER |
title STRING |
total_messages INTEGER |
updated_at DATE-TIME |
Related | Troubleshooting |
Questions? Feedback?
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