- Introduction
-
Getting Started
- Creating an Account in Hevo
- Subscribing to Hevo via AWS Marketplace
- Subscribing to Hevo via Snowflake Marketplace
- Connection Options
- Familiarizing with the UI
- Creating your First Pipeline
- Data Loss Prevention and Recovery
-
Data Ingestion
- Types of Data Synchronization
- Ingestion Modes and Query Modes for Database Sources
- Ingestion and Loading Frequency
- Data Ingestion Statuses
- Deferred Data Ingestion
- Handling of Primary Keys
- Handling of Updates
- Handling of Deletes
- Hevo-generated Metadata
- Best Practices to Avoid Reaching Source API Rate Limits
-
Edge
- Getting Started
- Data Ingestion
- Core Concepts
-
Pipelines
- Familiarizing with the Pipelines UI (Edge)
- Creating an Edge Pipeline
- Working with Edge Pipelines
- Pipeline Job History
- Object and Schema Management
- Activity Log
-
Sources
- PostgreSQL
- Oracle
- MySQL
- SQL Server
- Troubleshooting Database Sources
- Salesforce Bulk API V2
- Ordergroove
- BambooHR
- Stripe
- NetSuite SuiteAnalytics
- Shopify
- Slack
- Monday.com
- Workable
- Naming Conventions for Source Data Entities
- Destinations
- Alerts
- Custom Connectors
-
Releases
- Edge Release Notes - May 25, 2026
- Edge Release Notes - April 20, 2026
- Edge Release Notes - April 09, 2026
- Edge Release Notes - March 31, 2026
- Edge Release Notes - March 26, 2026
- Edge Release Notes - March 16, 2026
- Edge Release Notes - February 18, 2026
- Edge Release Notes - February 10, 2026
- Edge Release Notes - February 03, 2026
- Edge Release Notes - January 20, 2026
- Edge Release Notes - December 08, 2025
- Edge Release Notes - December 01, 2025
- Edge Release Notes - November 05, 2025
- Edge Release Notes - October 30, 2025
- Edge Release Notes - September 22, 2025
- Edge Release Notes - August 11, 2025
- Edge Release Notes - July 09, 2025
- Edge Release Notes - November 21, 2024
-
Data Loading
- Loading Data in a Database Destination
- Loading Data to a Data Warehouse
- Optimizing Data Loading for a Destination Warehouse
- Deduplicating Data in a Data Warehouse Destination
- Manually Triggering the Loading of Events
- Scheduling Data Load for a Destination
- Loading Events in Batches
- Data Loading Statuses
- Data Spike Alerts
- Name Sanitization
- Table and Column Name Compression
- Parsing Nested JSON Fields in Events
-
Pipelines
- Data Flow in a Pipeline
- Familiarizing with the Pipelines UI
- Working with Pipelines
- Managing Objects in Pipelines
- Pipeline Jobs
-
Transformations
-
Python Code-Based Transformations
- Supported Python Modules and Functions
-
Transformation Methods in the Event Class
- Create an Event
- Retrieve the Event Name
- Rename an Event
- Retrieve the Properties of an Event
- Modify the Properties for an Event
- Fetch the Primary Keys of an Event
- Modify the Primary Keys of an Event
- Fetch the Data Type of a Field
- Check if the Field is a String
- Check if the Field is a Number
- Check if the Field is Boolean
- Check if the Field is a Date
- Check if the Field is a Time Value
- Check if the Field is a Timestamp
-
TimeUtils
- Convert Date String to Required Format
- Convert Date to Required Format
- Convert Datetime String to Required Format
- Convert Epoch Time to a Date
- Convert Epoch Time to a Datetime
- Convert Epoch to Required Format
- Convert Epoch to a Time
- Get Time Difference
- Parse Date String to Date
- Parse Date String to Datetime Format
- Parse Date String to Time
- Utils
- Examples of Python Code-based Transformations
-
Drag and Drop Transformations
- Special Keywords
-
Transformation Blocks and Properties
- Add a Field
- Change Datetime Field Values
- Change Field Values
- Drop Events
- Drop Fields
- Find & Replace
- Flatten JSON
- Format Date to String
- Format Number to String
- Hash Fields
- If-Else
- Mask Fields
- Modify Text Casing
- Parse Date from String
- Parse JSON from String
- Parse Number from String
- Rename Events
- Rename Fields
- Round-off Decimal Fields
- Split Fields
- Examples of Drag and Drop Transformations
- Effect of Transformations on the Destination Table Structure
- Transformation Reference
- Transformation FAQs
-
Python Code-Based Transformations
-
Schema Mapper
- Using Schema Mapper
- Mapping Statuses
- Auto Mapping Event Types
- Manually Mapping Event Types
- Modifying Schema Mapping for Event Types
- Schema Mapper Actions
- Fixing Unmapped Fields
- Resolving Incompatible Schema Mappings
- Resizing String Columns in the Destination
- Changing the Data Type of a Destination Table Column
- Schema Mapper Compatibility Table
- Limits on the Number of Destination Columns
- File Log
- Troubleshooting Failed Events in a Pipeline
- Mismatch in Events Count in Source and Destination
- Audit Tables
- Activity Log
-
Pipeline FAQs
- Can multiple Sources connect to one Destination?
- What happens if I re-create a deleted Pipeline?
- Why is there a delay in my Pipeline?
- Can I change the Destination post-Pipeline creation?
- Why is my billable Events high with Delta Timestamp mode?
- Can I drop multiple Destination tables in a Pipeline at once?
- How does Run Now affect scheduled ingestion frequency?
- Will pausing some objects increase the ingestion speed?
- Can I see the historical load progress?
- Why is my Historical Load Progress still at 0%?
- Why is historical data not getting ingested?
- How do I set a field as a primary key?
- How do I ensure that records are loaded only once?
- Why can't I see my Pipelines after logging in?
- Events Usage
-
Sources
- Free Sources
-
Databases and File Systems
- Data Warehouses
-
Databases
- Connecting to a Local Database
- Amazon DocumentDB
- Amazon DynamoDB
- Elasticsearch
-
MongoDB
- Generic MongoDB
- MongoDB Atlas
- Support for Multiple Data Types for the _id Field
- Example - Merge Collections Feature
-
Troubleshooting MongoDB
-
Errors During Pipeline Creation
- Error 1001 - Incorrect credentials
- Error 1005 - Connection timeout
- Error 1006 - Invalid database hostname
- Error 1007 - SSH connection failed
- Error 1008 - Database unreachable
- Error 1011 - Insufficient access
- Error 1028 - Primary/Master host needed for OpLog
- Error 1029 - Version not supported for Change Streams
- SSL 1009 - SSL Connection Failure
- Troubleshooting MongoDB Change Streams Connection
- Troubleshooting MongoDB OpLog Connection
-
Errors During Pipeline Creation
- SQL Server
-
MySQL
- Amazon Aurora MySQL
- Amazon RDS MySQL
- Azure MySQL
- Generic MySQL
- Google Cloud MySQL
- MariaDB MySQL
-
Troubleshooting MySQL
-
Errors During Pipeline Creation
- Error 1003 - Connection to host failed
- Error 1006 - Connection to host failed
- Error 1007 - SSH connection failed
- Error 1011 - Access denied
- Error 1012 - Replication access denied
- Error 1017 - Connection to host failed
- Error 1026 - Failed to connect to database
- Error 1027 - Unsupported BinLog format
- Failed to determine binlog filename/position
- Schema 'xyz' is not tracked via bin logs
- Errors Post-Pipeline Creation
-
Errors During Pipeline Creation
- MySQL FAQs
- Oracle
-
PostgreSQL
- Amazon Aurora PostgreSQL
- Amazon RDS PostgreSQL
- Azure PostgreSQL
- Generic PostgreSQL
- Google Cloud PostgreSQL
- Heroku PostgreSQL
- Upgrading Pipelines with PostgreSQL Sources to Use the pgoutput Plugin
-
Troubleshooting PostgreSQL
-
Errors during Pipeline creation
- Error 1003 - Authentication failure
- Error 1006 - Connection settings errors
- Error 1011 - Access role issue for logical replication
- Error 1012 - Access role issue for logical replication
- Error 1014 - Database does not exist
- Error 1017 - Connection settings errors
- Error 1023 - No pg_hba.conf entry
- Error 1024 - Number of requested standby connections
- Errors Post-Pipeline Creation
-
Errors during Pipeline creation
-
PostgreSQL FAQs
- Can I track updates to existing records in PostgreSQL?
- How can I migrate a Pipeline created with one PostgreSQL Source variant to another variant?
- How can I prevent data loss when migrating or upgrading my PostgreSQL database?
- Why do FLOAT4 and FLOAT8 values in PostgreSQL show additional decimal places when loaded to BigQuery?
- Why is data not being ingested from PostgreSQL Source objects?
- Troubleshooting Database Sources
- Database Source FAQs
- File Storage
- Engineering Analytics
- Finance & Accounting Analytics
-
Marketing Analytics
- ActiveCampaign
- AdRoll
- Amazon Ads
- Apple Search Ads
- AppsFlyer
- CleverTap
- Criteo
- Drip
- Facebook Ads
- Facebook Page Insights
- Firebase Analytics
- Freshsales
- Google Ads
- Google Analytics 4
- Google Analytics 360
- Google Play Console
- Google Search Console
- HubSpot
- Instagram Business
- Klaviyo v2
- Lemlist
- LinkedIn Ads
- Mailchimp
- Mailshake
- Marketo
- Microsoft Ads
- Onfleet
- Outbrain
- Pardot
- Pinterest Ads
- Pipedrive
- Recharge
- Segment
- SendGrid Webhook
- SendGrid
- Salesforce Marketing Cloud
- Snapchat Ads
- SurveyMonkey
- Taboola
- TikTok Ads
- Twitter Ads
- Typeform
- YouTube Analytics
- Product Analytics
- Sales & Support Analytics
- Source FAQs
-
Destinations
- Familiarizing with the Destinations UI
- Cloud Storage-Based
- Databases
-
Data Warehouses
- Amazon Redshift
- Amazon Redshift Serverless
- Azure Synapse Analytics
- Databricks
- Google BigQuery
- Hevo Managed Google BigQuery
- Snowflake
- Troubleshooting Data Warehouse Destinations
-
Destination FAQs
- Can I change the primary key in my Destination table?
- Can I change the Destination table name after creating the Pipeline?
- How can I change or delete the Destination table prefix?
- Why does my Destination have deleted Source records?
- How do I filter deleted Events from the Destination?
- Does a data load regenerate deleted Hevo metadata columns?
- How do I filter out specific fields before loading data?
- Transform
- Alerts
- Account Management
- Activate
- Glossary
-
Releases- Release 2.48.3 (May 11-25, 2026)
- Release 2.48.1 (May 04-11, 2026)
- 2026 Releases
-
2025 Releases
- Release 2.44 (Dec 01, 2025-Jan 12, 2026)
- Release 2.43 (Nov 03-Dec 01, 2025)
- Release 2.42 (Oct 06-Nov 03, 2025)
- Release 2.41 (Sep 08-Oct 06, 2025)
- Release 2.40 (Aug 11-Sep 08, 2025)
- Release 2.39 (Jul 07-Aug 11, 2025)
- Release 2.38 (Jun 09-Jul 07, 2025)
- Release 2.37 (May 12-Jun 09, 2025)
- Release 2.36 (Apr 14-May 12, 2025)
- Release 2.35 (Mar 17-Apr 14, 2025)
- Release 2.34 (Feb 17-Mar 17, 2025)
- Release 2.33 (Jan 20-Feb 17, 2025)
-
2024 Releases
- Release 2.32 (Dec 16 2024-Jan 20, 2025)
- Release 2.31 (Nov 18-Dec 16, 2024)
- Release 2.30 (Oct 21-Nov 18, 2024)
- Release 2.29 (Sep 30-Oct 22, 2024)
- Release 2.28 (Sep 02-30, 2024)
- Release 2.27 (Aug 05-Sep 02, 2024)
- Release 2.26 (Jul 08-Aug 05, 2024)
- Release 2.25 (Jun 10-Jul 08, 2024)
- Release 2.24 (May 06-Jun 10, 2024)
- Release 2.23 (Apr 08-May 06, 2024)
- Release 2.22 (Mar 11-Apr 08, 2024)
- Release 2.21 (Feb 12-Mar 11, 2024)
- Release 2.20 (Jan 15-Feb 12, 2024)
-
2023 Releases
- Release 2.19 (Dec 04, 2023-Jan 15, 2024)
- Release Version 2.18
- Release Version 2.17
- Release Version 2.16 (with breaking changes)
- Release Version 2.15 (with breaking changes)
- Release Version 2.14
- Release Version 2.13
- Release Version 2.12
- Release Version 2.11
- Release Version 2.10
- Release Version 2.09
- Release Version 2.08
- Release Version 2.07
- Release Version 2.06
-
2022 Releases
- Release Version 2.05
- Release Version 2.04
- Release Version 2.03
- Release Version 2.02
- Release Version 2.01
- Release Version 2.00
- Release Version 1.99
- Release Version 1.98
- Release Version 1.97
- Release Version 1.96
- Release Version 1.95
- Release Version 1.93 & 1.94
- Release Version 1.92
- Release Version 1.91
- Release Version 1.90
- Release Version 1.89
- Release Version 1.88
- Release Version 1.87
- Release Version 1.86
- Release Version 1.84 & 1.85
- Release Version 1.83
- Release Version 1.82
- Release Version 1.81
- Release Version 1.80 (Jan-24-2022)
- Release Version 1.79 (Jan-03-2022)
-
2021 Releases
- Release Version 1.78 (Dec-20-2021)
- Release Version 1.77 (Dec-06-2021)
- Release Version 1.76 (Nov-22-2021)
- Release Version 1.75 (Nov-09-2021)
- Release Version 1.74 (Oct-25-2021)
- Release Version 1.73 (Oct-04-2021)
- Release Version 1.72 (Sep-20-2021)
- Release Version 1.71 (Sep-09-2021)
- Release Version 1.70 (Aug-23-2021)
- Release Version 1.69 (Aug-09-2021)
- Release Version 1.68 (Jul-26-2021)
- Release Version 1.67 (Jul-12-2021)
- Release Version 1.66 (Jun-28-2021)
- Release Version 1.65 (Jun-14-2021)
- Release Version 1.64 (Jun-01-2021)
- Release Version 1.63 (May-19-2021)
- Release Version 1.62 (May-05-2021)
- Release Version 1.61 (Apr-20-2021)
- Release Version 1.60 (Apr-06-2021)
- Release Version 1.59 (Mar-23-2021)
- Release Version 1.58 (Mar-09-2021)
- Release Version 1.57 (Feb-22-2021)
- Release Version 1.56 (Feb-09-2021)
- Release Version 1.55 (Jan-25-2021)
- Release Version 1.54 (Jan-12-2021)
-
2020 Releases
- Release Version 1.53 (Dec-22-2020)
- Release Version 1.52 (Dec-03-2020)
- Release Version 1.51 (Nov-10-2020)
- Release Version 1.50 (Oct-19-2020)
- Release Version 1.49 (Sep-28-2020)
- Release Version 1.48 (Sep-01-2020)
- Release Version 1.47 (Aug-06-2020)
- Release Version 1.46 (Jul-21-2020)
- Release Version 1.45 (Jul-02-2020)
- Release Version 1.44 (Jun-11-2020)
- Release Version 1.43 (May-15-2020)
- Release Version 1.42 (Apr-30-2020)
- Release Version 1.41 (Apr-2020)
- Release Version 1.40 (Mar-2020)
- Release Version 1.39 (Feb-2020)
- Release Version 1.38 (Jan-2020)
- Early Access New
Workable (Edge)
Edge Pipeline is now available for Public Review. You can explore and evaluate its features and share your feedback.
Workable is an applicant tracking system (ATS) and hiring platform used by businesses of all sizes to manage their end-to-end recruitment workflows. It enables organizations to create job postings, source and evaluate candidates through customizable hiring pipelines, collaborate across hiring teams, and manage the complete recruitment process from initial application through to offer.
Hevo uses the Workable v3 REST API to replicate data from your Workable account to the Destination of your choice. To ingest data, you must provide Hevo with your Workable access token and the subdomain of your Workable account for authentication.
Supported Features
| Feature Name | Supported |
|---|---|
| Capture deletes | Yes |
| Custom data (user-configured tables & fields) | No |
| Data blocking (skip objects and fields) | Yes |
| Resync (objects and Pipelines) | Yes |
| API configurable | No |
| Authorization via API | Yes |
Prerequisites
-
An active Workable account exists from which data is to be ingested.
-
A Workable user account with Admin or Super Admin role is available for generating the access token.
-
The access token and subdomain of your Workable account are available to provide Hevo access to your Workable data.
Obtain the Access Token
To connect Hevo to your Workable account, you must generate an access token. Access tokens can be reused across all your Hevo Pipelines.
Perform the following steps to obtain the access token:
-
Log in to your Workable account as a user with Admin or Super Admin role.
-
On the Overview page, click your profile icon in the top-right corner, and then click Settings.

-
In the left navigation pane, scroll down to the INTEGRATIONS section and click Apps.

-
On the Apps page, scroll down to the API ACCESS TOKENS section and click + Generate API token.

-
On the Generate API token page, specify the following:

-
Name: A unique name for your API token. For example, Hevo Access Token.
-
Expires In: The token’s expiration period.
-
API scopes: The read permissions for the objects that you want to replicate.
-
-
Click Generate token.
-
Click the Copy icon to copy the API token and save it securely like any other password. Use this token when configuring your Workable Source in Hevo.

If the access token configured in the Pipeline is revoked manually from your Workable account, Hevo cannot authenticate with the Source. As a result, all active jobs for the Pipeline fail, and no data is replicated. To resume data replication, modify the Source configuration in the Pipeline with a valid access token. Once the updated token is saved, Hevo re-authenticates the Source, and data ingestion resumes from the last saved offset.
Configure Workable as a Source in your Pipeline
Perform the following steps to configure your Workable Source:
-
Click Pipelines in the Navigation Bar.
-
Click + Create Pipeline in the Pipelines List View.
-
On the Select Source Type page, select Workable.
-
On the Select Destination Type page, select the type of Destination you want to use.
-
On the Select Pipeline Type page, click Edge, and then click Continue.

This page appears only if the selected Destination type is supported in Edge and your Team has an existing Workable Pipeline with the same Destination type. Otherwise, you can proceed to create an Edge Pipeline.
-
In the Configure Source screen, specify the following:

-
Source Name: A unique name for your Source, not exceeding 255 characters. For example, Workable Source.
-
Access Token: The access token that you generated from your Workable account.
-
Subdomain: The subdomain of your Workable account URL. For example, if your URL is https://xyz.workable.com, enter xyz. This value cannot be changed after the Pipeline is created.
-
-
Click Test & Continue to test the connection to your Workable Source. Once the test is successful, you can proceed to set up your Destination.
Data Replication
Hevo replicates data for all the objects selected on the Configure Objects page during Pipeline creation. By default, all supported objects and their available fields are selected. However, you can modify this selection while creating or editing the Pipeline.
Selecting a parent object automatically includes all its associated child objects for replication. Child objects cannot be selected or deselected individually.
Hevo ingests the following types of data from your Source objects:
-
Historical Data: The first run of the Pipeline ingests all available historical data for the selected objects and loads it into the Destination.
-
Incremental Data: Once the historical load is complete, new and updated records for objects are ingested as per the sync frequency.
For the following objects, Hevo ingests only the incremental data in subsequent Pipeline runs using the updated_at timestamp field:
- Candidate and its child objects:
- Candidate Activity
- Candidate Answer
- Candidate Document Variable
- Candidate Education Entry
- Candidate Experience Entry
- Candidate Offer
- Candidate Offer Document
- Candidate Social Profile
- Job and its child objects:
- Job Activity
- Job Application Field
- Job Application Form
- Job Application Supported File Type
- Job Custom Attribute
- Job Custom Attribute Choice
- Job Custom Attribute File Type
- Job Department Hierarchy
- Job Keyword
- Job Member
- Job Question
- Job Question Choice
- Job Question File Type
- Job Recruiter
- Job Stage
For all other objects, Hevo ingests the entire data during each Pipeline run.
Note: You can create a Pipeline with this Source only using the Merge load mode. The Append mode is not supported for this Source.
Workable currently enforces a rate limit of 10 API requests per 10 seconds. If this limit is exceeded, a rate limit exception occurs. To understand how Hevo handles such scenarios, read Handling Rate Limit Exceptions.
Schema and Primary Keys
Hevo uses the following schema to upload the records in the Destination. For a detailed view of the objects, fields, and relationships, click the ERD.
Data Model
The following is the list of tables (objects) that are created at the Destination when you run the Pipeline:
| Object | Description |
|---|---|
| Candidate | Contains comprehensive candidate profile information, including personal details, contact information, application stage, skills, disqualification status, and location. This object has the following child objects: - Candidate Activity - Candidate Answer - Candidate Document Variable - Candidate Education Entry - Candidate Experience Entry - Candidate Offer - Candidate Offer Document - Candidate Social Profile |
| Event | Contains interview and meeting events scheduled in Workable, including event title, type, description, start and end times, and the associated job shortcode and candidate. This object has a child object, Event Member. |
| Job | Contains job postings created in Workable, including title, department, employment type, job description, requirements, benefits, location, and the current state of the posting. This object has the following child objects: - Job Activity - Job Application Field - Job Application Form - Job Application Supported File Type - Job Custom Attribute - Job Custom Attribute Choice - Job Custom Attribute File Type - Job Department Hierarchy - Job Keyword - Job Member - Job Question - Job Question Choice - Job Question File Type - Job Recruiter - Job Stage |
| Member | Contains information about Workable account members, including name, email, role, and headline. |
| Recruiter | Contains information about external recruiters associated with the Workable account, including name and email. |
| Requisition | Contains job requisition records, including state, reason, employment type, department, hiring manager, requester details, salary range, and location information. This object has the following child objects: - Requisition Approval Group - Requisition Approver |
| Stage | Contains the interview pipeline stages defined in the Workable account, including the stage name, slug, and position. |
Additional Information
Read the detailed Hevo documentation for the following related topics:
Handling of Deletes
Workable does not explicitly mark records as deleted in its API responses. When a record is deleted, it is no longer returned in subsequent API responses.
Hevo uses a full data refresh approach to capture delete actions for objects where the complete data is ingested during each Pipeline run. During each run, Hevo compares the data fetched from the Source with the data present in the Destination. If a record exists in the Destination but is no longer returned by the Source, the record is marked as deleted by setting the value of the metadata column __hevo__marked_deleted to True. This applies to the following objects:
-
Event
-
Event Member
-
Member
-
Recruiter
-
Requisition
-
Requisition Approval Group
-
Requisition Approver
-
Stage
All the other objects do not support capturing deletes.
Revision History
Refer to the following table for the list of key updates made to this page:
| Date | Release | Description of Change |
|---|---|---|
| May-25-2026 | NA | New document. |