- 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
- ClickUp
- Monday.com
- Pipedrive
- 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
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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)
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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
Pipedrive (Edge)
Edge Pipeline is now available for Public Review. You can explore and evaluate its features and share your feedback.
Pipedrive is a sales customer relationship management (CRM) platform designed for small and medium-sized businesses. It helps sales teams manage deals, track communications, and automate repetitive tasks across the entire sales pipeline. Pipedrive enables organizations to visualize their sales processes, monitor performance against revenue targets, and collaborate more effectively to close deals.
Hevo uses Pipedrive’s REST APIs to replicate data from your Pipedrive account to the Destination of your choice. To ingest data, you must provide Hevo with a Personal API Token and your Pipedrive company domain 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 Pipedrive account exists from which data is to be ingested.
-
You have access to your Pipedrive Personal API Token and company domain, which are required to authenticate with the Pipedrive API.
Obtain the Personal API Token
To connect Hevo to your Pipedrive account, you must provide a Personal API Token. This token authenticates all API requests made by Hevo to your Pipedrive account.
Perform the following steps to obtain the Personal API Token:
-
Log in to your Pipedrive account.
-
In the top-right corner of the page, click your profile icon, and then click Company settings.

-
In the left navigation pane, click Personal preferences.

-
Click the API tab.
-
On the API page, click Copy to copy the API token and save it securely like any other password. Use this token while configuring your Pipedrive Source in Hevo.

If the API token configured in the Pipeline is revoked manually from your Pipedrive 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 API token. Once the updated token is saved, Hevo re-authenticates the Source, and data ingestion resumes from the last saved offset.
Configure Pipedrive as a Source in your Pipeline
Perform the following steps to configure your Pipedrive Source:
-
Click Pipelines in the Navigation Bar.
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Click + Create Pipeline in the Pipelines List View.
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On the Select Source Type page, select Pipedrive.
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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 Pipedrive Pipeline with the same Destination type. Otherwise, you can proceed to create an Edge Pipeline.
-
In the Configure Source screen, specify the following:

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Source Name: A unique name for your Source, not exceeding 255 characters. For example, Pipedrive Source.
-
API Token: Your Personal API Token that you obtained from your Pipedrive account to allow Hevo to access your data.
-
Company Domain: Your Pipedrive company subdomain. This is the part before .pipedrive.com in your Pipedrive URL. For example, if your URL is https://mycompany.pipedrive.com, enter mycompany. This value cannot be changed after the Pipeline is created.
-
-
Click Test & Continue to test the connection to your Pipedrive 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 update_time timestamp field:
- Activity
- Activity Attendees
- Activity Participant
- Deal History
- Organization
- Person
- Person Email
- Person Phone
- Product
- Product Price
- File
- Lead History
- Note
For all other objects, Hevo ingests the entire data during each Pipeline run.
Pipedrive currently enforces a daily API request limit. If this limit is exceeded, a rate limit exception occurs. To understand how Hevo handles such scenarios, read Handling Rate Limit Exceptions.
Note: You can create a Pipeline with this Source only using the Merge load mode. The Append mode is not supported for this Source.
Schema and Primary Keys
Hevo uses the following schema to upload the records to 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 |
|---|---|
| Activity | Contains scheduled and completed activities, such as calls, emails, meetings, and tasks, linked to deals, persons, or organizations. This object has the following child objects: - Activity Attendees - Activity Participant |
| Activity Field | Contains schema definitions for custom activity fields, including field names, types, and option lists. This object has the following child objects: - Activity Field Option - Activity Field Subfield |
| Activity Type | Contains definitions of activity types, such as call, email, and meeting, configured in the Pipedrive account. |
| Call Log | Contains inbound and outbound call records logged in Pipedrive, including call duration, outcome, and linked deal and person details. |
| Currency | Contains currency definitions supported by the Pipedrive account, including currency codes, names, symbols, and decimal precision. |
| Deal Field | Contains schema definitions for standard and custom deal fields, including field types, visibility settings, and editability flags. This object has the following child objects: - Deal Field Option - Deal Field Subfield |
| Deal History | Contains Pipedrive deals, including deal title, owner, pipeline, stage, value, status, and key timestamps such as created, updated, won, lost, and close dates. |
| File | Contains files and attachments linked to deals, persons, activities, or mail messages, including file name, size, remote storage location, and timestamps. |
| Filter | Contains saved filter definitions in Pipedrive, including filter names, types, and visibility settings. |
| Filter Helper | Contains operator and metadata definitions used when building filters in Pipedrive, including relative date expressions and address field breakdown definitions. |
| Goal | Contains sales goals defined in Pipedrive, including targets for deals, revenue, and activities, along with goal type, interval, assignee, and progress. This object has a child object, Goal Pipeline. |
| Installment | Contains individual payment installments for recurring deal subscriptions, including payment status, amount, currency, and due dates. |
| Lead History | Contains Pipedrive lead records, including lead title, owner, assigned person or organization, value, source, expected close date, and key timestamps such as created and updated dates. This object has a child object, Lead Lead Label. |
| Lead Label History | Contains lead label definitions, including label names and colors. |
| Lead Source | Contains the lead source reference list, including source IDs and names. |
| Mail Message | Contains email messages linked to Pipedrive deals. Data is fetched per-deal using deal IDs from the completed Deal History sync. This object has the following child objects: - Email BCC - Email CC - Email To |
| Mail Thread | Contains mail thread (conversation) metadata, including the thread ID and the linked deal ID. |
| Note | Contains text notes attached to deals, persons, or organizations, including note content, pinning status, and linked entity references. |
| Organization | Contains companies and organizations in the Pipedrive CRM, including address details, industry, employee count, and owner information. |
| Person | Contains contact persons in the Pipedrive CRM, including name, job title, organization, and contact information. This object has the following child objects: - Person Email - Person Phone |
| Pipeline | Contains sales pipelines (deal workflows with stages), including pipeline name, deal probability settings, and active status. |
| Product | Contains products and services in the Pipedrive catalog, including name, description, category, unit, tax rate, and billing frequency. This object has a child object, Product Price. |
| Product Deal | Contains products attached to deals as line items, including quantity, price, discount, and billing details. Data is fetched per-deal using deal IDs from the completed Deal History sync. |
| Project | Contains project records from the Pipedrive projects module, including title, status, owner, start and end dates, and linked persons and organizations. This object has a child object, Project Deal. |
| Role | Contains user role definitions in Pipedrive, including role names, active status, and parent role references for hierarchical role structures. |
| Stage | Contains stages within sales pipelines, including stage name, order, deal probability, and rotten deal settings. |
| Task | Contains tasks associated with projects in the Pipedrive projects module, including title, assignee, priority, due date, and completion status. |
| Team | Contains teams in the Pipedrive account, including team name, description, manager, and active status. This object has a child object, Team User. |
| User | Contains Pipedrive user accounts within the company, including name, email, role, timezone, and activation status. |
Additional Information
Read the detailed Hevo documentation for the following related topics:
Handling of Deletes
Hevo uses the following methods to capture deleted records for your Source objects:
For the Activity Type object, Hevo identifies deleted records by comparing the latest 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, Hevo marks the record as deleted by setting the value of the metadata column __hevo__marked_deleted to True.
For the following objects, Pipedrive marks deleted records directly in the API response. In such cases, Hevo marks the __hevo__marked_deleted column to True in the Destination:
- Activity
- Deal History
- Organization
- Person
All the remaining 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. |