- 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
- Upgrading Pipeline from Standard to Edge
-
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
- Data Ingestion
- Core Concepts
-
Pipelines
- Familiarizing with the Pipelines UI
- Creating an Edge Pipeline
- Working with Edge Pipelines
- Pipeline Job History
- Pipeline Overview
- Needs Attention
- Object and Schema Management
- Activity Log
-
Sources
- Connect AI
- PostgreSQL
- Oracle
- MySQL
- SQL Server
- Troubleshooting Database Sources
- CockroachDB
- MongoDB
- SharePoint
- Salesforce Bulk API V2
- Ordergroove
- BambooHR
- Stripe
- NetSuite SuiteAnalytics
- Shopify
- Slack
- ClickUp
- Monday.com
- Pipedrive
- Workable
- Fathom
- HubSpot
- Salesforce Marketing Cloud
- Google Analytics 4
- Google Ads
- Facebook Ads
- Microsoft Ads
- LinkedIn Ads
- Xero
- Instagram Business
- Amazon Selling Partner
- TikTok Ads
- StackAdapt
- Amazon Ads
- Pinterest Organic
- Zendesk Support
- Snapchat Ads
- TikTok Organic
- Google Search Console
- Klaviyo v2
- Braintree Payments
- Facebook Pages
- Tempo
- PayPal
- Auth0
- Pinterest Ads
- Apple Search Ads
- Permit.io
- Amplitude Analytics
- Customer.io
- Paddle
- Jira Cloud
- Fullstory
- GitHub
- WorkOS
- ActiveCampaign
- Campaign Monitor
- Infobip
- Mailgun Send
- Metaplane
- Notion
- Recharge
- sevdesk
- Statuspage
- Teamwork.com
- Workday RaaS
- Yotpo
- TikTok Shop Partner Center
- Linear
- Microsoft Dynamics 365 Business Central
- Checkout.com
- Pylon
- Increase
- Microsoft Teams
- Rollbar
- Toggl Track
- QuickBooks Online
- Zoho Desk
- Livestorm
- Attentive
- SendGrid
- Bitly
- Shortcut
- Buzzsprout
- Persona
- Mailjet
- Open Exchange Rates
- PagerDuty
- CircleCI
- SonarQube
- Chargebee
- Freshdesk
- Bing Webmaster Tools
- Rundeck
- Cal.com
- Mixpanel
- Matomo
- Walmart Marketplace
- Xray
- Reddit Ads
- Zoho Recruit
- Freshchat
- Zoho Books
- Marketo
- LaunchDarkly
- Outreach
- Airtable
- Attio
- Okta
- Zendesk Chat
- Bigin by Zoho CRM
- Naming Conventions for Source Data Entities
- Destinations
- Transformations
- Alerts
- Activate
- Custom Connectors
-
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
- Clustering in BigQuery
- Partitioning in BigQuery
- Structure of Data in the Google BigQuery Data Warehouse
- Loading Data to a Google BigQuery Data Warehouse
- Near Real-time Data Loading using Streaming
- Modifying BigQuery Destinations to Use Service Account Authentication
- Troubleshooting Google BigQuery
- Google BigQuery FAQs
- 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-
2026 Releases
- Release 2.53 (August 24 – September 21, 2026)
- Release 2.52 (July 27 – August 24, 2026)
- Release 2.51 (Jun 29 – July 27 , 2026)
- Release 2.50 (Jun 01–29, 2026)
- Release 2.49 (May 04-Jun 01, 2026)
- Release 2.48 (Apr 06-May 04, 2026)
- Release 2.47 (Mar 09-Apr 06, 2026)
- Release 2.46 (Feb 09-Mar 09, 2026)
- Release 2.45 (Jan 12-Feb 09, 2026)
-
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)
-
2026 Releases
- Early Access New
Bigin by Zoho CRM (Edge)
Bigin by Zoho CRM is a customer relationship management (CRM) application from Zoho, built for small businesses. Teams use it to manage their companies and contacts, track deals through sales pipelines, and log their tasks and calls.
Hevo uses the Bigin REST API to replicate the companies, contacts, pipeline records (deals), tasks, calls, and users of your Bigin organization to the Destination of your choice. Hevo connects to Bigin using OAuth 2.0 with a Zoho API client that you register. To ingest data, you must provide Hevo with the Client ID and Client Secret of the API client, the edition of your Bigin organization, and the region of your Zoho account, and then authorize Hevo to access your Bigin data.
Supported Features
| Feature Name | Supported |
|---|---|
| Capture deletes | Yes |
| History mode | No |
| Custom data (user-configured tables & fields) | Yes, for the custom fields of the Account, Call, Contact, Pipeline, and Task objects |
| Data blocking (skip objects and fields) | Yes |
| Resync (objects and Pipelines) | Yes |
| API configurable | Yes |
Prerequisites
-
An active Bigin by Zoho CRM organization exists from which data is to be ingested.
-
Your Bigin user can view the records of the Companies, Contacts, Pipelines, Tasks, and Calls modules and the users of your organization. You do not need the Administrator profile. Hevo can ingest only the data that your user can access. Read Source Considerations.
-
A Zoho API client is registered, and its Client ID and Client Secret are available.
Create a Zoho API Client
Hevo connects to Bigin through an OAuth client that you register in the Zoho API Console. Register the client in the API Console of the data center where your Zoho account is hosted, for example, https://api-console.zoho.com for the US data center or https://api-console.zoho.eu for the Europe data center. Read Register your application.
Perform the following steps to create an API client:
-
Log in to the Zoho API Console with the Zoho account that you use to access Bigin.
-
On the Applications page, click ADD CLIENT. If you have not created a client before, Zoho displays the client types directly.

-
In the Choose a Client Type page, click CREATE NOW in the Server-based Applications card.

-
In the Create New Client page, specify the following, and then click CREATE:
-
Client Name: A name for the client. For example, Hevo Bigin Connector. Zoho does not allow the word Zoho in the client name.
-
Homepage URL: The URL of your company website. For example, https://hevodata.com.
-
Authorized Redirect URIs: https://westeros.hevodata.com/edge/oauth/callback. Hevo returns to this URL after you authorize it to access your Bigin data.

-
-
Click the Client Secret tab, and then copy the Client ID and the Client Secret and save them securely like any other password.

Use these credentials when configuring your Bigin Source in Hevo. The Client ID and Client Secret remain available on the Client Secret tab of the client, so you can copy them again later.
If you delete the API client, regenerate its Client Secret, or revoke the access granted to Hevo in your Zoho account, Hevo cannot authenticate with Bigin, and all active jobs of the Pipeline fail. To resume data replication, modify the Source configuration in the Pipeline with valid credentials and authorize Hevo again. Once the updated configuration is saved, Hevo re-authenticates the Source, and data ingestion resumes in the next run.
Scopes Required by Hevo
When you authorize Hevo, Zoho asks you to grant the following read-only scopes. Hevo does not create, modify, or delete any records in Bigin. Read Scopes.
| Scope | Purpose |
|---|---|
| ZohoBigin.modules.accounts.READ | To read the records of the Companies module. |
| ZohoBigin.modules.contacts.READ | To read the records of the Contacts module. |
| ZohoBigin.modules.pipelines.READ | To read the records of the Pipelines module. |
| ZohoBigin.modules.tasks.READ | To read the records of the Tasks module. |
| ZohoBigin.modules.calls.READ | To read the records of the Calls module. |
| ZohoBigin.settings.fields.READ | To read the field definitions of each module, including your custom fields. |
| ZohoBigin.users.READ | To read the users of your Bigin organization. |
Configure Bigin by Zoho CRM as a Source in your Pipeline
Perform the following steps to configure your Bigin by Zoho CRM Source:
-
Click Pipelines in the Navigation Bar.
-
Click + Create Pipeline in the Pipelines List View.
-
On the Select Source Type page, select Bigin by Zoho CRM.
-
On the Select Destination Type page, select the type of Destination you want to use.
-
In the Configure Source screen, specify the following:

-
Source Name: A unique name for your Source, not exceeding 255 characters. For example, Bigin by Zoho CRM Source.
-
In the Connect to Bigin section:
-
Client ID: The Client ID of the Server-based API client that you created in the Zoho API Console.
-
Client Secret: The Client Secret of the API client, from its Client Secret tab in the Zoho API Console.
-
Region: The data center where your Zoho account is hosted. Select one of the following: United States, Europe, India, Australia, Japan, or China. The region must match the domain of the Zoho API Console in which you created the API client. For example, select Europe if you created the client in api-console.zoho.eu. Default value: United States.
-
Edition: The edition of your Bigin organization. Select one of the following:
-
Free (5,000 API credits / 24 h): For the Free edition.
-
Express / Zoho One / Premier (up to 100,000 API credits / 24 h): For the Express, Premier, and Bigin 360 editions, and for Bigin as part of Zoho One.
Hevo uses the edition to decide how many API requests it sends to Bigin at the same time. Read API Limits.
-
-
Click Authorize, and log in with the Zoho account that you use for Bigin if prompted. Hevo opens the Zoho login page of the data center selected in Region. On the consent page, review the requested scopes, select the check box to allow access, and then click Accept. Once authorized, Hevo displays the email address of your Zoho account in Account Added.
-
-
-
Click Test & Continue to test the connection to your Bigin by Zoho CRM Source. Once the test is successful, you can proceed to set up your Destination.
When you click this button, Hevo performs the following validations:
-
Zoho accepts the Client ID and Client Secret in the selected region.
-
The authorization is valid, and Hevo can read the details of your Bigin user.
-
Hevo can read the records of the Contacts module and the field definitions of the Contacts module.
-
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. The Data Model lists the child objects of each parent object.
Bigin does not provide a reliable way to fetch only the records that changed since the last run. So, in each run of the Pipeline, as per the sync frequency, Hevo ingests all the records of the selected objects:
-
For the parent objects, Account, Call, Contact, Pipeline, Task, and Users, Hevo loads the records into the Destination tables, updating the existing rows and adding the new ones.
-
For the child objects, Hevo replaces the data in the Destination tables with the data ingested in the run.
As the number of records in your Bigin organization grows, each run takes longer and uses more API credits. If you do not need some objects, deselect them to reduce the API credits used.
Pipelines with this Source support only the Merge load mode.
API Limits
Bigin counts each API request against the API credit allowance of your organization for a rolling 24-hour window. The Free edition allows 5,000 credits. The Express, Premier, Bigin 360, and Zoho One editions allow 50,000 credits plus 250 credits for each user license, up to 100,000 credits. Bigin also limits the number of API requests that can run at the same time: 5 for the Free edition and 10 for the other editions. Read API Limits. These limits are shared by all the applications that use the Bigin API of your organization.
Hevo sends at most as many concurrent API requests as your selected Edition allows. Hevo does not count the API credits used. If Bigin returns a rate limit error, Hevo retries the request. If the error persists, Hevo stops ingesting data for the run. Objects that were not fully ingested are not loaded, and no records are marked as deleted for them. Hevo ingests all the objects again in the next run. 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 |
|---|---|
| Account | Contains the companies in your Bigin organization, with their name, website, phone, billing address, owner, and tags. The Bigin API name of this module is Accounts. It includes the following child objects: - Account Partner Type: Contains the values of the Partner Type multi-select field of each company. - Account Tag: Contains the tags of each company. |
| Call | Contains the calls logged in Bigin, with their subject, type, status, start time, duration, and the record each call is related to. It includes a child object, Call Tag, which contains the tags of each call. |
| Contact | Contains the contacts in your Bigin organization, with their name, email address, phone numbers, mailing address, company, and owner. It includes a child object, Contact Tag, which contains the tags of each contact. |
| Pipeline | Contains the records (deals) in your Bigin pipelines, with their name, stage, amount, closing date, and the company and contact of each record. The Bigin API name of this module is Pipelines. It includes the following child objects: - Pipeline Market, Pipeline Partner Type, Pipeline Property Management System, and Pipeline Prospect Pain Point: Contain the values of the Market, Partner Type, Property Management System, and Prospect Pain Point multi-select fields of each record. - Pipeline Tag: Contains the tags of each record. Note: The Account Partner Type table and the Pipeline Market, Pipeline Partner Type, Pipeline Property Management System, and Pipeline Prospect Pain Point tables are created for every Bigin organization. They remain empty if your organization does not have these fields. |
| Task | Contains the tasks created in Bigin, with their subject, status, priority, due date, owner, and the ID and module of the record each task is related to. |
| Users | Contains the users of your Bigin organization, with their name, email address, role, profile, and status. |
Additional Information
Read the detailed Hevo documentation for the following related topics:
Handling of Deletes
Bigin does not return deleted records in its API responses. Hevo captures deletes as follows:
-
For the parent objects, Account, Call, Contact, Pipeline, Task, and Users, Hevo compares the records ingested in each run with those in the Destination table. Records that are no longer returned by Bigin are marked as deleted by setting the value of the metadata column __hevo__marked_deleted to True.
-
For the child objects, Hevo replaces the data in the Destination table in each run. So, the tags and multi-select values removed in Bigin, and those of deleted records, are removed from the Destination table.
If a run fails, for example, because the API credit allowance is exhausted, Hevo does not mark any records as deleted in that run.
Source Considerations
-
Hevo ingests all the records of the selected objects in each run, and each API request uses the API credits that your other Bigin integrations also use. If your edition has a low credit allowance, increase the sync frequency interval of the Pipeline or deselect the objects that you do not need. Read API Limits.
-
Hevo ingests the custom fields of the Account, Call, Contact, Pipeline, and Task objects as separate columns. The column name is the API name of the field in lowercase, with any character other than letters and digits replaced by an underscore. For example, a custom field with the API name Crew_Number is loaded into the column crew_number. Hevo loads all custom fields as text, and the values of multi-select and subform fields as JSON text. When you add a custom field in Bigin, Hevo adds a column for it in the next run.
-
If Bigin denies access to a module for your user, Hevo marks the corresponding object as Inaccessible and displays it in the Needs Attention tab of the Pipeline. The other objects continue to be ingested. To ingest the object, grant your user access to the module in Bigin, and then resync the object.
-
Hevo reads data with the access token of the Zoho user who authorized Hevo. If this user can access only some records of a module, Hevo ingests only those records. Records that the user can no longer access are marked as deleted in the Destination.
-
Hevo ingests data from one Bigin organization in a Pipeline. To ingest data from more than one organization, create a Pipeline for each organization.
-
Hevo supports Zoho accounts hosted in the US, Europe, India, Australia, Japan, and China data centers. Accounts hosted in other Zoho data centers, such as Canada, Saudi Arabia, and UK, are not supported.
Revision History
Refer to the following table for the list of key updates made to this page:
| Date | Release | Description of Change |
|---|---|---|
| Nov-13-2026 | 2.54 | New document. |