- 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
- CockroachDB
- MongoDB
- Troubleshooting Database Sources
- 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
- Mailgun Send
- Metaplane
- Notion
- Recharge
- sevdesk
- Statuspage
- Teamwork.com
- Workday RaaS
- Yotpo
- TikTok Shop Partner Center
- Linear
- Microsoft Dynamics 365 Business Central
- Pylon
- Naming Conventions for Source Data Entities
- Destinations
- Transformations
- Alerts
- Activate
- Custom Connectors
-
Releases
- Edge Release Notes - October 2026
- Edge Release Notes - September 2026
- Edge Release Notes - August 2026
- Edge Release Notes - July 2026
- Edge Release Notes - June 2026
- Edge Release Notes - May 2026
- Edge Release Notes - April 2026
- Edge Release Notes - March 2026
- Edge Release Notes - February 2026
- Edge Release Notes - January 2026
- Edge Release Notes - December 2025
- Edge Release Notes - November 2025
- Edge Release Notes - October 2025
- Edge Release Notes - September 2025
- Edge Release Notes - August 2025
- Edge Release Notes - July 2025
- Edge Release Notes - November 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
- 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
-
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
Fullstory (Edge)
Fullstory is a digital experience analytics platform that captures how users interact with your websites and mobile apps. It enables teams to analyze user sessions, group users into segments, and apply privacy controls that govern what data is captured.
Hevo uses the Fullstory Server API to replicate data from your Fullstory account to the Destination of your choice. To ingest data, you must provide Hevo with an API key to authenticate to your Fullstory account.
Supported Features
| Feature Name | Supported |
|---|---|
| Capture deletes | Yes (except for the Segment Event object) |
| History mode | No |
| Custom data (user-configured tables & fields) | Yes |
| Data blocking (skip objects and fields) | Yes |
| Resync (objects and Pipelines) | Yes |
| API configurable | Yes |
Prerequisites
-
An active Fullstory account from which data is to be ingested.
-
A user with the Admin role, or the Architect role on Fullstory Enterprise plans, to create the API key.
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An API key with the Admin or Architect permission level is available to provide Hevo access to your Fullstory account data.
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The Segment Export add-on is enabled in your Fullstory account to ingest the Segment Event object. This add-on is available only on Fullstory Enterprise and Advanced plans.
Obtain the API Key
To connect Hevo to your Fullstory account, you must provide an API key. You can either use an existing API key or create one if required. The API key must have the Admin or Architect permission level.
Perform the following steps to create an API key:
-
Log in to your Fullstory account as a user with the Admin or Architect role.
-
In the top-left corner, click your account name, and then click Settings.
-
In the left navigation pane, under Integrations, click API Keys.
-
On the API Keys page, click Create key.
-
In the Create API Key side panel, specify a name for the key, and select the Admin permission level. If your account is on a Fullstory Enterprise plan, you can select the Architect permission level instead.
Note: Hevo only reads data from your Fullstory account, irrespective of the permission level of the key.
-
Click Save API Key.
-
Copy the key and store it securely. Fullstory does not display the key again. Use this key while configuring your Fullstory Source in the Hevo Pipeline.
For more information, read Managing API Keys.
If the API key configured in the Pipeline is deleted from your Fullstory account, or the user who created the key is removed from the 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 key. Once the updated key is saved, Hevo re-authenticates the Source, and data ingestion resumes from the last saved offset.
Configure Fullstory as a Source in your Pipeline
Perform the following steps to configure your Fullstory Source:
-
Click Pipelines in the Navigation Bar.
-
Click + Create Pipeline in the Pipelines List View.
-
On the Select Source Type page, select Fullstory.
-
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, Fullstory Source.
-
In the Connect to your Fullstory account section, specify the API key that you obtained from your Fullstory account.
-
-
Click Test & Continue to test the connection to your Fullstory Source. Once the test is successful, you can proceed to set up your Destination.
Note: If the API key has the Standard permission level, the test succeeds with a warning. The objects that the key cannot access are shown as inaccessible on the Configure Objects page.
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.
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 Segment Event object, Hevo ingests only the incremental data in subsequent Pipeline runs. The first run of the Pipeline ingests the events from the last 90 days. Each subsequent run ingests the new events.
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.
Fullstory enforces rate limits on the number of requests that can be made to its API in a given period of time. These limits are shared by all the applications that access your Fullstory account through the API. If these limits are 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 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 |
|---|---|
| Privacy Block Rule History | Contains the versions of your block rules, such as the blocked IP addresses, user agents, and app IDs. |
| Privacy Domain Settings History | Contains the versions of your domain settings, such as the list of domains and whether only known domains are recorded. |
| Privacy Geo Settings History | Contains the versions of your geolocation settings, such as the geo recording mode and geo zones. |
| Privacy Recording Feature History | Contains the versions of your recording feature settings, such as whether the console watcher, AJAX watcher, and rage click capture are enabled. |
| Privacy Setting History | Contains the versions of your privacy settings, such as the default privacy mode and whether IP addresses are discarded. A new version is created whenever the settings change. It includes the following child objects: - Privacy AJAX Watch - Privacy Element Block - Privacy Element Group |
| Segment | Contains the segments defined in your Fullstory account, including the segment name, its creator, and its creation time. |
| Segment Event | Contains the events captured for the users in your Fullstory account, such as page, session, device, browser, location, and error details for each event. The custom variables of each event are currently stored in the custom_variables column in JSON format. |
| Users | Contains the users identified in your Fullstory account, such as their display name, email address, application-specified UID, and app URL. It includes a child object, User Property. |
Additional Information
Read the detailed Hevo documentation for the following related topics:
Handling of Deletes
Hevo uses a full data refresh approach to capture delete actions. 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 to all objects except Segment Event.
For the Segment Event object, Hevo does not support capturing deletes.
Source Considerations
-
Fullstory provides Segment Export, which Hevo uses to ingest the Segment Event object, as an add-on for its Enterprise and Advanced plans. If your Fullstory account does not include this add-on, Hevo cannot ingest the Segment Event object.
-
During the first run of the Pipeline and after you resync the object, Hevo ingests the Segment Event data from the last 90 days. If your Fullstory plan retains data for less than 90 days, Hevo ingests only the events that are still retained.
-
Fullstory’s API does not support fetching only new or updated users. As a result, Hevo ingests all the users during each Pipeline run, and for accounts with a large number of users, the sync of the Users object can take a long time.
Limitations
- If a block rule, element group, or AJAX watch rule is removed from your privacy settings, its record in the Privacy Element Block, Privacy Element Group, or Privacy AJAX Watch object is not marked as deleted in the Destination. The record retains the values from the last version of the settings that contained it. This happens because Hevo reads the entire settings history during each Pipeline run, and these records are not linked to a specific version of the settings. In the Privacy AJAX Watch object, editing a rule also retains the earlier version of the rule as a separate record.
Revision History
Refer to the following table for the list of key updates made to this page:
| Date | Release | Description of Change |
|---|---|---|
| Oct-26-2026 | NA | New document. |