- Introduction
-
Getting Started
- Creating an Account in Hevo
- Subscribing to Hevo via AWS 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
- Sources
- Destinations
- Alerts
- Custom Connectors
-
Releases
- 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?
- 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
-
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 2.45 (Jan 12-Feb 09, 2026)
- Release 2.44 (Dec 01, 2025-Jan 12, 2026)
-
2025 Releases
- 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)
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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
BambooHR (Edge)
Edge Pipeline is now available for Public Review. You can explore and evaluate its features and share your feedback.
BambooHR is a human resources information system (HRIS) used by small and medium-sized businesses to centralize employee information. It enables organizations to manage essential HR processes, including time-off tracking, performance reviews, training programs, and day-to-day HR operations.
Hevo uses the following BambooHR APIs to replicate data from your BambooHR account to the Destination of your choice:
| API Name | API Endpoint | Description |
|---|---|---|
| Custom Reports API | /v1/reports/custom |
Used to ingest Employee object data with incremental replication support based on a timestamp field. |
| REST APIs | /v1/* |
Used to ingest operational data such as time-off requests, training records, dependents, goals, milestones, and related objects. |
| Meta APIs | /v1/meta/* |
Used to ingest metadata such as time off types, policies, and account users. |
These APIs enable you to analyze HR data using your preferred analytics and reporting tools. To ingest data, you must provide Hevo with a BambooHR API key and your subdomain for authentication.
Supported Features
| Feature Name | Supported |
|---|---|
| Capture deletes | Yes, except for Employee, Time Off Request, Training, and Employee Time Off Policy objects |
| Custom data (user-configured tables & fields) | Only for Employee object |
| Data blocking (skip objects and fields) | Yes |
| Resync (objects and Pipelines) | Yes |
| API configurable | Yes |
| Authorization via API | Yes |
Prerequisites
-
An active BambooHR account exists from which data is to be ingested.
-
An API key with read permissions to provide Hevo access to your BambooHR account data.
-
The subdomain of your BambooHR account.
Note: BambooHR API keys are associated with user accounts, and the data accessible through the API is limited by that user’s permissions. To ensure complete data ingestion, ensure that you generate the API key from a user account with Administrator or Manager access.
Obtain the API Key
To connect Hevo to your BambooHR account, you must generate an API key. BambooHR API keys do not expire and can be reused across all your Pipelines.
Perform the following steps to obtain the API key:
-
Log in to your BambooHR account as a user with permission to create API keys, such as an Administrator or Manager.
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On the bottom-left corner of the page, click the Account icon.

-
From the account menu, click API Keys.

-
In the My API Keys screen, click Add New Key.

-
Provide a descriptive name for the key, for example, Hevo API, and click Generate Key.

-
Click COPY KEY to copy the generated API key.

Note: BambooHR displays the API key only once. Ensure that you copy and store it securely, as it cannot be retrieved later.
-
Click Done.
Use this API key when configuring your BambooHR Source in Hevo. If the API key configured in the Pipeline is revoked manually from your BambooHR account, Hevo can no longer authenticate with the Source. As a result, all active jobs for the Pipeline fail and data ingestion stops. To resume data replication, modify the Source configuration in the Pipeline with a valid API key. Once the updated key is saved, Hevo re-authenticates the Source, and data ingestion resumes from the last saved offset.
Configure BambooHR as a Source in your Pipeline
Perform the following steps to configure your BambooHR Source:
-
Click Pipelines in the Navigation Bar.
-
Click + Create Pipeline in the Pipelines List View.
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On the Select Source Type page, select BambooHR.
-
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, BambooHR Source.
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In the Connect to your BambooHR account section, specify the following:
-
API Key: The API key that you obtained from your BambooHR account.
-
Subdomain: The unique identifier for your BambooHR account. For example, in https://hevo.bamboohr.com, the subdomain is hevo.
-
-
-
Click Test & Continue to test the connection to your BambooHR 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 Employee object, Hevo ingests only the incremental data in subsequent Pipeline runs. Incremental changes are detected using the lastChanged timestamp fields.
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.
Currently, BambooHR enforces a rate limit of 60 API requests per minute (approximately one request per second). If this limit is exceeded, a rate limit exception occurs. Hevo handles such scenarios using built-in retry logic, applicable to both historical and incremental ingestion:
-
When a rate limit is encountered, Hevo waits 60 seconds before retrying the request.
-
Each rate-limited request is retried up to three times. If all retries fail, the job is marked as Failed. Read Handling Rate Limit Exceptions for more information.
For the Employee object, Hevo uses BambooHR’s Custom Reports API for ingesting data with incremental sync support. This API supports a maximum of 400 fields per request. If your BambooHR account includes more than 400 standard or custom fields:
-
Hevo automatically splits the request into multiple batches.
-
The batched results are merged before loading into the Destination, ensuring all Employee fields are ingested without data loss.
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 User | Contains BambooHR account user details, such as login status and permission-related metadata. |
| Employee | Contains comprehensive employee information, such as personal details, employment status, compensation, and custom fields configured in your BambooHR account. |
| Employee Dependent | Contains information about employee dependents, such as relationship, demographic details, and address information. |
| Employee Time Off Policy | Represents the relationship between employees and their assigned time off policies, including accrual start dates. |
| Goal | Contains employee goals, including titles, descriptions, completion percentages, due dates, and status. |
|
Milestone (Child object of Goal) |
Contains milestones associated with employee goals, including progress indicators and completion timestamps. Each milestone belongs to a specific goal. |
| Time Off Policy | Contains time off policies defined in BambooHR, including policy names, effective dates, and policy rules. |
| Time Off Request | Contains time off requests submitted by employees, including request dates, approval status, time off amounts, and associated employee and policy details. |
| Time Off Type | Contains the types of time off configured in BambooHR, such as vacation, sick leave, and personal leave. |
| Training | Contains employee training records, including completion dates, instructors, credits, and associated costs. |
| Training Category | Contains training categories used to organize training types in BambooHR. |
| Training Type | Contains training types configured in BambooHR, including completion requirements, frequencies, and due dates. |
Note:
-
The Employee object schema is dynamically generated based on the fields configured in your BambooHR account. The fields available for ingestion may vary depending on your BambooHR plan and any custom fields configured in your account. Schema changes are automatically detected and applied during subsequent Pipeline runs.
-
The Employee Time Off Policy object is a junction table that connects employees with their assigned time off policies.
Handling of Deletes
BambooHR 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 parent objects. During each Pipeline run, Hevo compares the data fetched from the Source object with the data present in the Destination table. 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 only to the following objects, for which the complete data is ingested during each sync:
-
Account User
-
Employee Dependent
-
Goal
-
Time Off Policy
-
Time Off Type
-
Training Category
-
Training Type
For child objects, such as Milestone, during each sync, Hevo removes the existing data from the corresponding Destination tables and loads them with the latest data ingested from the Source. As a result, if any records are deleted for child objects, those records are not present in the Destination after the next Pipeline run. This ensures that the child objects remain in sync with their parent objects.
The following objects do not support capturing deletes:
-
Employee
-
Time Off Request
-
Training
-
Employee Time Off Policy
Revision History
Refer to the following table for the list of key updates made to this page:
| Date | Release | Description of Change |
|---|---|---|
| Feb-10-2026 | NA | New document. |