- 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
- Connectivity Check for RDBMS Sources
- Scheduling a Pipeline
- Modifying a Pipeline
- Prioritizing a Pipeline
- Viewing Pipeline Progress
- Pausing and Deleting a Pipeline
- Log-based Pipelines
- Troubleshooting Data Replication Errors
- Pipeline Objects
Python Code-Based Transformations
- Examples of Python Code-based Transformations
- API References
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
- Python Code-Based Transformations
- Using Schema Mapper
- Mapping Statuses
- Auto Mapping Event Types
- Mapping a Source Event Type Field with a Destination Table Column
- Modifying Schema Mapping for Event Types
- 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?
- 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?
- Can I change the Destination post-Pipeline creation?
- How do I change the query mode for my 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 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
- 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
- Generic PostgreSQL
- Heroku 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
- Help Scout
- Hub Planner
- Toggl Track
- 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 can I push data to Hevo API?
- How do I connect a CSV file as a Source?
- Which file formats are supported by file storage-based Sources?
- Why are my selected Source objects not visible in the Schema Mapper?
- How does the Merge Table feature work?
- Familiarizing with the Destinations UI
- Amazon Aurora MySQL
- SQL Server
- Connecting to a Local Database
- Limitations of using MySQL as a Destination
- 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?
- dbt™ Models
- Familiarizing with the Models UI
- Types of Models
- Key Features
- Working with SQL Models
- Previewing a Model
- Viewing the Query History
- Legacy Models
- Models FAQs
- 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
- Activate Concepts
- Familiarizing with the Activate UI
- Working with Activate
- Activate Warehouses
- Activate Targets
- Release Notes
- Release Version 2.06
- 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)
- 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
Azure SQL Server
On This Page
- Create a Geo-Replication Database (Optional)
- Whitelist Hevo’s IP Addresses
- Enable Change Tracking
- Create a Database User and Grant Privileges
- Retrieve the Hostname and Port Number (Optional)
- Specify Azure SQL Server Connection Settings
- Revision History
Azure MS SQL Database is an intelligent, scalable, and relational database service built for the cloud. It can automate your database management and maintenance, including routine updates, backups, and security, enabling you to focus on working with your data.
You can ingest data from your Azure MS SQL database using Hevo Pipelines and replicate it to a Destination of your choice.
The MS SQL Server version is 2008 or higher.
CHANGE TRACKING and ALTER DATABASE privileges are granted to the database user, if Pipeline Mode is Change Tracking or Table, and Query mode is Change Tracking.
Perform the following steps to configure your Azure MS SQL Source:
Create a Geo-Replication Database (Optional)
Geo-Replication is an Azure SQL database feature that allows you to create a readable secondary database in the same region or different regions.
Note: Creation of geo-replication database incurs additional costs.
To use an existing, active geo-replication database or connect Hevo to your master database, skip to Whitelist Hevo’s IP Addresses section.
To create a geo-replication database:
Log in to the Azure Portal.
Under Resources, select the database for which you want to create a geo-replication database.
In the left navigation pane, under Settings, click Geo-Replication.
Under Target regions, select your target region.
In the Create secondary page, specify your Target server, the Pricing tier, and then, click OK to create a secondary database.
A notification is displayed to confirm that the geo-replication database was created successfully.
Whitelist Hevo’s IP Addresses
You need to whitelist the Hevo IP addresses for your region to enable Hevo to connect to your Azure SQL database. You can do this by creating firewall rules in your Microsoft Azure database settings as follows:
Access your Azure MS SQL instance.
Under Resources, select the database you want to synchronize with Hevo.
In the right pane, click the Set server firewall tab to open the Firewall settings.
Create a firewall rule:
Specify a Rule name.
Specify Hevo’s IP addresses in the Start IP and End IP fields as per your region.
Note: As Hevo has specific IP addresses and not a range, the value in Start IP and End IP fields is the same.
Repeat this step to add the IP address for each applicable Hevo region.
Enable Change Tracking
The Change Tracking mechanism captures changes made to a database. In order to enable, or disable change tracking, the database user must have the
ALTER DATABASE privilege.
To enable change tracking, connect your Azure SQL Database in your SQL Client tool, and enter these commands:
Enable change tracking at the database level:
ALTER DATABASE [<database>] SET CHANGE_TRACKING = ON;
Enable change tracking for each table you want to integrate:
ALTER TABLE [<schema>].[<table>] ENABLE CHANGE_TRACKING;
Create a Database User and Grant Privileges
1. Create a database user (optional)
To create a database user, open your Azure MS SQL database in your SQL client tool and enter the following commands:
USE [<database>]; # <database> is the database name CREATE USER hevo WITH PASSWORD = '<password>';
This creates a contained database user who grants access to the database user on an individual database level instead of the master database level.
2. Grant privileges to the user
The database user specified in the Hevo Pipeline must have the following global privileges:
To assign these privileges, connect your Azure SQL Database in your SQL Client tool, and enter these commands:
SELECTprivilege at the table and schema level:
GRANT SELECT ON <schema_name>.<table_name> TO <username>;
GRANT VIEW CHANGE TRACKING ON <schema_name>.<table_name> TO <username>;
Retrieve the Hostname and Port Number (Optional)
Note: The Azure MS SQL hostnames start with your database name and end with windows.net.
Host : mssql.database.windows.net
Port : 1433
Refer to the steps below to gather the configuration details required to create your Hevo Pipeline:
To retrieve the hostname:
Log in to the Microsoft Azure Portal.
Under Recent resources, select your SQL database.
In the Essentials panel, locate the Server name. Use this as the hostname while creating your Pipeline.
The default port value is 1433.
Specify Azure SQL Server Connection Settings
In the Configure your Azure SQL Server Source page, specify the following:
Pipeline Name: A unique name for the Pipeline.
SQL Server Host: SQL Server host’s IP address or DNS.
The following table lists a few examples of SQL Server hosts:
Variant Host Amazon RDS SQL Server ms-sql-server-1.xxxxx.rds.amazonaws.com Azure MS SQL mssql.database.windows.net Generic MS SQL 10.123.10.001 or mssql.westeros.inc Google Cloud SQL Server 126.96.36.199
Note: For URL-based hostnames, exclude the http:// or https:// part. For example, if the hostname URL is https://mssql.database.windows.net, enter mssql.database.windows.net.
SQL Server Port: The port on which your SQL Server is listening for connections. Default value: 1433.
SQL Server User: The read-only user who has the permissions to read tables in your database.
SQL Server Password: The password for the read-only user.
For Ingestion mode as Table, read Object Settings for steps to configure the objects to be replicated.
Database Name: The database that you wish to replicate.
Schema Name: The schema that holds the tables to be replicated. Default value: dbo.
Connect through SSH: Enable this option to connect to Hevo using an SSH tunnel, instead of directly connecting your SQL Server database host to Hevo. This provides an additional level of security to your database by not exposing your SQL Server setup to the public. Read Connecting Through SSH.
If this option is disabled, you must whitelist Hevo’s IP addresses. Refer to the content for your SQL Server variant for steps to do this.
Include New Tables in the Pipeline: Applicable for all Ingestion modes except Custom SQL. If enabled, Hevo automatically ingests data from tables created after the Pipeline has been built. If disabled, the new tables are listed in the Pipeline Detailed View in Skipped state, and you can manually include the ones you want and load their historical data. You can include these objects post-Pipeline creation to ingest data.
You can change this setting later.
Click TEST CONNECTION. Hevo’s underlying connectivity checker validates the connection settings you provide.
Click TEST & CONTINUE to proceed for setting up the Destination.
Read the detailed Hevo documentation for the following related topics:
Hevo does not support Azure CDC for replication.
Hevo does not fetch Views from the Azure MS SQL database automatically. As a workaround, you can create individual Pipelines in Custom SQL mode to fetch each View. However, some limitations may arise based on the type of data synchronization, the query mode, or the number of Events. Contact Hevo Support for more details.
Refer to the following table for the list of key updates made to this page:
|Date||Release||Description of Change|
|Dec-07-2022||2.03||Updated section, Specify Azure SQL Server Connection Settings to mention about including skipped objects post-Pipeline creation.|
|Dec-07-2022||2.03||Updated section, Specify Azure SQL Server Connection Settings to mention about the connectivity checker.|
|Apr-21-2022||1.86||Updated section, Specify Azure SQL Server Connection Settings.|
|Sep-08-2021||NA||- Updated the third list item under Prerequisites
- Updated sub-section Grant privileges to the user.
|Jul-26-2021||1.68||Added a note for the SQL Server Host field.|
|Jul-12-2021||NA||Added section, Specify Azure MS SQL Connection Settings.|
|Apr-20-2021||1.61||Added the second bullet point to the Limitations section.|
|Mar-09-2021||1.58||Replaced references to Logical Replication with Change Tracking as Change Tracking is a distinct Pipeline mode for SQL Server Source types.|
- Create a Geo-replication Database
- Create a User and Grant Privileges
- Retrieve the Hostname and Port Number