- About Hevo
- Hevo Features
- Hevo System Architecture
- Core Concepts
- Free Trials
- Regulatory Compliance
- Hevo Support
- General FAQs
- Getting Started
- Creating an Account in Hevo
- Connection Options
- Familiarizing with the UI
- Creating your First Pipeline
- Data Loss Prevention and Recovery
- Activity Log
- Data Ingestion
- Ingestion Modes and Query Modes
- Types of Data Synchronization
- Ingestion and Loading Frequency
- Ingestion Frequency and Data Synchronization
- Data Ingestion Statuses
- Deferred Data Ingestion
- Handling of Primary Keys
- Handling of Updates
- Handling of Deletes
- Hevo-generated Metadata
- Data Loading
- Loading Data in a Database Destination
- Loading Data to a Data Warehouse
- Optimizing Data Loading for a Destination Warehouse
- 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
- Data Flow in a Pipeline
- Familiarizing with the Pipelines UI
Working with Pipelines
- Best Practices for Creating Database Pipelines
- Creating a Pipeline
- Scheduling a Pipeline
- Modifying a Pipeline
- Prioritizing a Pipeline
- Viewing Pipeline Progress
- Troubleshooting Data Replication Errors
- Pausing and Deleting a Pipeline
- Log-based Pipelines
- Pipeline Objects
- 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
- 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
- Using Schema Mapper
- Mapping Statuses
- Auto Mapping Event Types
- Mapping a Source Event Type with a Destination Table
- Mapping a Source Event Type Field with a Destination Table Column
- Schema Mapper Actions
- Fixing Unmapped Fields
- Resolving Incompatible Schema Mappings
- Resizing String Columns in the Destination
- Schema Mapper Compatibility Table
- Troubleshooting Failed Events in a Pipeline
- Mismatch in Events Count in Source and Destination
- Does creation of Pipeline incur cost?
- Can I have the same Source and Destination in the Pipeline?
- Why are my new Pipelines in trial?
- Can multiple Sources connect to one Destination?
- Is my data stored after I delete a Pipeline?
- What happens if I re-create a deleted Pipeline?
- When should I pause vs delete my Pipeline?
- Why am I getting warnings while adding Pipelines?
- Why is there a delay in my Pipeline?
- Can I delete skipped objects in a Pipeline?
- How do I disable Auto Mapping?
- How do I change the ingestion frequency for tables?
- How do I change the query mode for Pipelines?
- How does changing the query mode affect data ingestion?
- Why is my billable Events high with Delta Timestamp mode?
- How does the timing of Change Schedule work?
- 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 sort Event Types listed in the Schema Mapper?
- How do I include new tables in the Pipeline?
- Can I see the historical load progress?
- Why is my Historical Load Progress still at 0%?
- Why is the historical data not getting ingested?
- How do I restart the historical load for all the objects?
- How do I set a field as a primary key?
- How can I load only filtered Events to the Destination?
- How do I ensure that records are loaded only once?
- Why do the Source and the Destination events count differ?
- How can I transfer Excel files using Hevo?
- How can I load an XML file from an S3 folder?
- Events Usage
- Free Sources
Databases and File Systems
- Data Warehouses
- Connecting to a Local Database
- Amazon DocumentDB
- Amazon DynamoDB
- Generic MongoDB
- MongoDB Atlas
- Support for Multiple Data Types for the _id Field
- Example - Merge Collections Feature
Errors During Pipeline Creation
- Error 1001 - Incorrect credentials
- Error 1005 - Connection timeout
- Error 1006 - Invalid database hostname
- 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
- Amazon RDS SQL Server
- Azure SQL Server
- Google Cloud SQL Server
- Generic SQL Server
- Troubleshooting SQL Server
- SQL Server FAQs
- Amazon Aurora MySQL
- Amazon RDS MySQL
- Azure MySQL
- Google Cloud MySQL
- Generic MySQL
- MariaDB 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
- Amazon Aurora PostgreSQL
- Amazon RDS PostgreSQL
- Azure PostgreSQL
- Google Cloud PostgreSQL
- Heroku PostgreSQL
- Generic 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
- Troubleshooting Database Sources
- Amazon S3
- File Log
- Azure Blob Storage
- FTP / SFTP
- Google Cloud Storage (GCS)
- Google Drive
- Google Sheets
- Android SDK
- Writing JSONPath Expressions
REST API FAQs
- Why does my REST API token keep changing?
- Is it possible to use a Bearer Authorization token?
- Does Hevo’s REST API support API chaining?
- What is the maximum payload size returned by a REST API?
- How do I split an Event into multiple Event Types?
- How do I split multiple values in a key into separate Events?
- Jira Cloud
- Finance & Accounting Analytics
- Apple Search Ads
- Facebook Ads
- Facebook Page Insights
- Google Campaign Manager
- Google Ads
- Google Analytics
- Google Analytics 4
- Google Analytics 360
- Google Play Console
- Google Search Console
- Instagram Business
- LinkedIn Ads
- Microsoft Advertising
- Pinterest Ads
- SendGrid Webhook
- Salesforce Marketing Cloud
- Snapchat Ads
- TikTok Ads
- Twitter Ads
- YouTube Analytics
- Product Analytics
- Sales & Support Analytics
- From how far back can the Pipeline ingest data?
- What is a free Source?
- Why am I unable to modify my OAuth Source connection settings?
- Can I connect to a Source not listed in Hevo?
- Can I connect a local database as a Source?
- How do I connect a CSV file as a Source?
- Which file formats are supported by file storage-based Sources?
- How does the Merge Table feature work?
- Familiarizing with the Destinations UI
- Amazon Aurora MySQL
- Microsoft SQL Server
- Connecting to a Local Database
- Structure of Data in the Amazon Redshift Data Warehouse
- Loading Data to an Amazon Redshift Data Warehouse
- Troubleshooting Amazon Redshift Destination
- Amazon Redshift FAQs
- Hevo Managed Google BigQuery
- Clustering in BigQuery
- Partitioning in BigQuery
- Loading Data to a Google BigQuery Data Warehouse
- Near Real-time Data Loading using Streaming
- Troubleshooting Google BigQuery
- Google BigQuery FAQs
- Structure of Data in the Snowflake Data Warehouse
- Loading Data to a Snowflake Data Warehouse
- Troubleshooting Snowflake
- Snowflake FAQs
- Amazon Redshift
- Can I create a Destination through API?
- Can I move data between SaaS applications using Hevo?
- Can I change the primary key in my Destination table?
- How do I change the data type of table columns?
- Can I change the Destination table name after creating the Pipeline?
- How can I change or delete the Destination table prefix?
- How do I resolve duplicate records in the Destination table?
- How do I enable or disable deduplication of records?
- 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?
- Can I load data to a specific Destination table?
- How do I filter out specific fields before loading data?
- How do I sort the data in the Destination?
- Activate Concepts
- Familiarizing with the Activate UI
- Working with Activate
- Activate Warehouses
- Activate Targets
- Account Management
- Personal Settings
- Team Settings
- Pricing Plans
- Time-based Events Buffer
- Setting up Pricing Plans, Billing, and Payments
- On-Demand Purchases
- Billing Alerts
- Viewing Billing History
- Billing Notifications
- Can I try Hevo for free?
- Can I get a plan apart from the Starter plan?
- Are free trial Events charged once I purchase a plan?
- For how long can I stay on the Free plan?
- When will I be charged for my subscription?
- How can I upgrade my plan?
- Is there a discount for non-profit organizations?
- Can I seek a refund of my payment?
- Do ingested Events count towards billing?
- Will Pipeline get paused if I exceed the Events quota?
- What is a free Source?
- Will the initial load of data be free?
- Does the Hevo plan support multiple Destinations?
- Do rows loaded through Models count in my usage?
- Is Hevo subscription environment-specific?
- Can I pause billing if I have no active Pipelines?
- What are the payment methods available in Hevo?
- Can you explain the pricing plans in Hevo?
- Where do I get invoices for payments?
- Is my billing information removed upon account deletion?
- Account Suspension and Restoration
- Account Management FAQs
- Release Notes
- 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)
- 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)
- 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)
- Upcoming Features
Snowflake offers a cloud-based data storage and analytics service, generally termed as data warehouse-as-a-service. Companies can use it to store and analyze data using cloud-based hardware and software.
In Snowflake, you can create both data warehouses and databases to store your data. Each data warehouse can further have one or more databases, although this is not mandatory. Snowflake provides you one data warehouse automatically when you create an account.
For Hevo to access your data, you must assign the required permissions. Snowflake uses Roles to assign permissions to users. You need
SYSADMIN privileges to create the required roles for Hevo. Read more about Roles in Snowflake.
The data from your Pipeline is staged in Hevo’s S3 bucket before being finally loaded to your Snowflake warehouse.
An active Snowflake account.
The user has either ACCOUNTADMIN or SECURITYADMIN role in Snowflake to create a new role for Hevo.
The user must have ACCOUNTADMIN or SYSADMIN role in Snowflake, if a warehouse is to be created.
Hevo is assigned USAGE permissions on data warehouses.
Hevo is assigned USAGE and CREATE SCHEMA permissions on databases.
Hevo is assigned USAGE, MONITOR, CREATE TABLE, CREATE EXTERNAL TABLE, and MODIFY permissions on the current and future schemas.
Refer to section, Create and Configure your Snowflake Warehouse to create a Snowflake warehouse with adequate permissions for Hevo to access your data.
Perform the following steps to configure your Snowflake Destination:
(Optional) Creating a Snowflake Account
In Snowflake, when you sign up for the account, you get 30 days of free access with $400 credits. Beyond this limit, it is chargeable. The free trial starts from the day you complete the sign up and activate the account. In case you end up using the $400 credits before the 30 days, the free trial gets over and the account is suspended. You can still log in to your account, however, you cannot use any features, such as running a virtual warehouse, loading data, or performing queries.
Let’s get started with the Snowflake Account.
In the Sign up page, specify the following and click CONTINUE:
- First Name and Last Name: The first and last name of the account user.
- Email: A valid email address that can be used to manage the Snowflake account.
- Company: The name of your organization.
- Country: The organization’s country or region.
Select the Snowflake editions you want to use.
Note: There are multiple editions of Snowflake, so you can choose the one that meets your organization’s needs. Read Snowflake Editions to learn about the different editions available.
Select the desired cloud platform. You can choose to host your Snowflake account on any of the following cloud platforms.
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
- Microsoft Azure (Azure)
To learn about the details and pricing on each cloud platform, read Supported Cloud Platforms.
Select the region for your cloud platform. In each platform, Snowflake provides one or more regions where the account can be provisioned.
Click GET STARTED.
That’s it! An email to activate your account has been sent to your registered email address. Click the link in the email to sign-in to your Snowflake account.
Create and Configure your Snowflake Warehouse
Hevo provides you a ready-to-use script to configure the Snowflake warehouse you intend to use as the Destination.
Follow these steps to run the script:
Log in to your Snowflake account.
In the Worksheets tab, click +Worksheet to create a new worksheet.
Paste the following script in the worksheet. The script creates a new role for Hevo in your Snowflake Destination. Keeping your privacy in mind, the script grants only the bare minimum permissions required by Hevo to load the data in your Destination.
-- create variables for user / password / role / warehouse / database (needs to be uppercase for objects) set role_name = 'HEVO'; -- Replace "HEVO" with your role name set user_name = 'HARRY_POTTER'; -- Replace "HARRY_POTTER" with your username set user_password = 'Gryffindor'; -- Replace "Gryffindor" with the user password set warehouse_name = 'HOGWARTS'; -- Replace "HOGWARTS" with the name of your warehouse set database_name = 'RON'; -- Replace "RON" with the name of your database set schemaName = 'DARK_ARTS'; -- Replace "DARK_ARTS" with the database schema name set db_schema = concat($database_name, '.', $schemaName); begin; -- change role to securityadmin for user / role steps use role securityadmin; -- create role for HEVO create role if not exists identifier($role_name); grant role identifier($role_name) to role SYSADMIN; -- create a user for HEVO create user if not exists identifier($user_name) password = $user_password default_role = $role_name default_warehouse = $warehouse_name; -- Grant access to the user grant role identifier($role_name) to user identifier($user_name); -- change role to sysadmin for warehouse / database steps use role sysadmin; -- create a warehouse for HEVO, if it does not exist create warehouse if not exists identifier($warehouse_name) warehouse_size = xsmall warehouse_type = standard auto_suspend = 600 auto_resume = true initially_suspended = true; -- create database for HEVO create database if not exists identifier($database_name); -- grant HEVO role access to warehouse grant USAGE on warehouse identifier($warehouse_name) to role identifier($role_name); -- grant HEVO access to database grant CREATE SCHEMA, MONITOR, USAGE, MODIFY on database identifier($database_name) to role identifier($role_name); use role accountadmin; CREATE SCHEMA IF not exists identifier($db_schema); GRANT USAGE, MONITOR, CREATE TABLE, CREATE EXTERNAL TABLE, MODIFY ON SCHEMA identifier($db_schema) TO ROLE identifier($role_name); commit;
Replace the sample values provided in lines 2-7 of the script with your own to create your warehouse. These are the credentials that you will be using to connect your warehouse to Hevo. You can specify a new warehouse, role, and or database name to create these now, or use pre-existing ones to load data into.
Note: The values for
schemaNamemust be in upper case.
Press CMD + A (Mac) or CTRL + A (Windows) inside the worksheet area to select the script.
Press CMD+return (Mac) or CTRL + Enter (Windows) to run the script.
Once the script runs successfully, you can use the credentials from lines 2-7 of the script to connect your Snowflake warehouse to Hevo.
Obtain your Snowflake Account URL
The Snowflake data warehouse may be hosted on any of the following Cloud providers:
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Microsoft Azure (Azure)
The account name, region, and cloud service provider are visible in your Snowflake web interface URL.
For most accounts, the URL looks like
westeros is your account name,
us-east-2 is the region, and
aws is the service provider.
However, if your Snowflake instance is hosted on AWS, US West region, the URL looks like
Perform the following steps to obtain your Snowflake Account URL:
Log in to your Snowflake instance. Click Admin in the left panel.
Under the Admin tab, click Accounts.
Hover the mouse on the LOCATOR field corresponding to the account for which you want to obtain the URL.
Click on the link icon to copy your account URL.
Configure Snowflake as a Destination
Click DESTINATIONS in the Asset Palette.
Click + CREATE in the Destinations List View.
In the Add Destination page, select Snowflake as the Destination type.
In the Configure your Snowflake Warehouse page, specify the following:
Destination Name: A unique name for your Destination.
Snowflake Account URL: The account URL that you retrieved in Step 2 above.
Database User: The Hevo user that you created. This user has a non-administrative role in the Snowflake database.
Database Password: Password of the database user.
Database Name: Name of the Destination database where the data is to be loaded.
Database Schema: Name of the schema in the Destination database where the data is to be loaded.
Note: Schema name is case-sensitive.
Warehouse: The Snowflake warehouse associated with your database, where the SQL queries and DML operations are performed.
Populate Loaded Timestamp: Enable this option to append the
__hevo_loaded_atcolumn to the Destination table to indicate the time when the Event was loaded to the Destination. Read Loading Data to a Data Warehouse.
Sanitize Table/Column Names: Enable this option to sanitize your table or column names. Hevo replaces all non-alphanumeric characters and spaces in a table or column name with an underscore. Names are sanitized while mapping a Source Event Type to a table in Snowflake using Auto Mapping, or when you try to create a table manually using the Hevo UI. Read Name Sanitization.
Create Transient Tables: Enable this option to create transient tables. Transient tables have the same features as permanent tables minus the Fail-safe period. The fail-safe feature allows Snowflake to recover the table if you were to lose it, for up to seven days. Transient tables allow you to avoid the additional storage costs for the backup, and are suitable if your data does not need the same level of data protection and recovery provided by permanent tables, or if it can be reconstructed outside of Snowflake. Read Transient Tables.
Click TEST CONNECTION.
Click SAVE & CONTINUE.
Handling Source Data with Different Data Types
For teams created in or after Hevo Release 1.58, Hevo automatically modifies the data type of a Snowflake table column to accommodate Source data with a different data type. Data type promotion is performed on tables that are less than 50GB in size. Read Handling Different Data Types in Source Data.
Note: Your Hevo release version is mentioned at the bottom of the Asset Palette.
- Hevo replicates a maximum of 4096 columns to each Snowflake table, of which six are Hevo-reserved metadata columns used during data replication. Therefore, your Pipeline can replicate up to 4090 (4096-6) columns for each table. Read Limits on the Number of Columns.
Refer to the following table for the list of key updates made to this page:
|Date||Release||Description of Change|
|Nov-24-2022||NA||Added a step in section, Create and Configure your Snowflake Warehouse.|
|Oct-10-2022||NA||Added the section (Optional) Creating a Snowflake Account.|
|Jun-16-2022||NA||Modified section, Prerequisites to update the permissions required by Hevo to access data on your schema.|
|Jun-09-2022||NA||Updated the page to provide a script containing all the user commands for creating a Snowflake warehouse.|
|Mar-31-2022||NA||Updated the screenshots to reflect the latest Snowflake UI.|
|Feb-07-2022||1.81||Updated the page to add the step, Create and Configure Your Snowflake Warehouse, and other permission related content.|
|Mar-09-2021||1.58||Added section, Handling Source Data with Different Data Types.|
|Feb-22-2021||NA||- Updated the page overview to state that the Pipeline stages the ingested data in Hevo’s S3 bucket, from where it is finally loaded to the Destination.
- Formatting-related edits.