Send data from Hi Platform to MySQL

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Replicate Hi Platform Data to MySQL Automatically

Setting up a data pipeline between Hi Platform and MySQL requires no coding or complex configuration. Kondado connects your customer support and marketing automation data directly into your MySQL database on a configurable schedule. You choose the update frequency, from every five minutes to daily intervals, ensuring your analytics infrastructure always contains current information.

Kondado connects to Hi Platform as a data source and replicates Tickets data, including account IDs, status fields, interaction details, and timestamps like created_at and resolved_at, directly into your MySQL database on your chosen schedule.

By centralizing Hi Platform information in MySQL, you unlock the ability to run complex SQL queries, build custom dashboards, and combine customer service metrics with data from other business systems. This setup empowers analysts to create comprehensive reports that track resolution times, agent performance, and customer satisfaction trends without manual data exports.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Available Pipelines and Use Cases

The Tickets pipeline delivers comprehensive support interaction data directly into your MySQL environment, capturing 220 fields including resolution timestamps, account associations, and status histories. Once replicated, you can construct SQL queries to calculate average resolution times by priority level or identify recurring issues through pattern analysis across ticket descriptions.

This data foundation enables you to generate custom visualizations in tools like Power BI or Looker Studio by connecting directly to your MySQL instance. Analysts can correlate Hi Platform ticket volume with sales data or marketing campaign timing, creating unified reports that reveal how customer service interactions impact overall business performance and retention metrics.

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Hi Platform data available for MySQL

1
available pipeline
220
extractable fields

Available integrations

Integration Description
Tickets Table contains information about tickets, including fields such as id, account_id, and status, as well as interactions and timestamps like created_at and resolved_at.
Tickets
Table contains information about tickets, including fields such as id, account_id, and status, as well as interactions and timestamps like created_at and resolved_at.
See all available data →

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How to send Hi Platform data to MySQL

Sync data automatically — no code, no manual exports.

1
Connect Hi Platform to Kondado

Authenticate your Hi Platform account in Kondado by providing your API credentials through the data source connection interface. Select the Tickets pipeline to begin extracting your customer support data including interaction logs and resolution timestamps.

2
Configure MySQL Destination

Enter your MySQL connection parameters including host address, database name, and authentication details to establish the destination. Kondado validates the connection to ensure your Hi Platform data can be loaded into the correct database schema.

3
Select Pipelines and Schedule

Choose which fields from the Tickets pipeline you want to replicate and define your update frequency, selecting intervals from five minutes to daily. Once activated, Kondado automatically maintains your MySQL dataset, keeping your Power BI or Looker Studio reports current without manual intervention.

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Send data from Hi Platform to other destinations

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Power BI

Hi Platform > Power BI
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Hi Platform > Amazon S3
BigQuery

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Excel

Hi Platform > Excel
Google Sheets

Hi Platform > Google Sheets
MySQL

Hi Platform > MySQL
PostgreSQL

Hi Platform > PostgreSQL
Redshift

Hi Platform > Redshift
SQL Server

Hi Platform > SQL Server

Choose a tool to visualize your Hi Platform data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Airtable
Hi Platform > Airtable
Alteryx
Hi Platform > Alteryx
Amazon Quicksight
Hi Platform > Amazon Quicksight
BIMachine
Hi Platform > BIMachine
Cortex
Hi Platform > Cortex
Data Studio
Hi Platform > Data Studio
Geckoboard
Hi Platform > Geckoboard
Grafana
Hi Platform > Grafana
IBM Cognos Analytics
Hi Platform > IBM Cognos Analytics
Klipfolio
Hi Platform > Klipfolio
Looker Studio
Hi Platform > Looker Studio
Looker
Hi Platform > Looker
Looqbox
Hi Platform > Looqbox
Metabase
Hi Platform > Metabase
Microstrategy
Hi Platform > Microstrategy
Pentaho
Hi Platform > Pentaho
Power BI
Hi Platform > Power BI
Qlik Cloud Analytics
Hi Platform > Qlik Cloud Analytics
Qlik Sense
Hi Platform > Qlik Sense
Qlik
Hi Platform > Qlik
QlikView
Hi Platform > QlikView
Redash
Hi Platform > Redash
Superset
Hi Platform > Superset
Tableau
Hi Platform > Tableau
BI TOTVS
Hi Platform > BI TOTVS
Zoho Analytics
Hi Platform > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Hi Platform data to MySQL automatically

How does the Hi Platform to MySQL replication process work? ▼
Kondado connects to your Hi Platform account as a data source and extracts data from the available pipelines. The platform then automatically loads this information into your specified MySQL database tables, maintaining data types and structure. Updates occur on your configured schedule, appending new records and refreshing existing ones based on timestamp fields like created_at and resolved_at.
What specific Hi Platform data fields are available in the Tickets pipeline? ▼
The Tickets pipeline contains 220 fields including standard identifiers like id and account_id, status tracking fields, and detailed interaction logs. You also receive comprehensive timestamp data such as created_at and resolved_at, enabling precise calculation of resolution times and service level agreement compliance. This structure supports detailed analysis of customer support workflows directly within your MySQL environment.
How often can I update my Hi Platform data in MySQL? ▼
Kondado offers flexible scheduling options ranging from every five minutes to daily updates, allowing you to balance data freshness with system resources. You configure this frequency during the initial setup and can modify it later based on your analytical requirements. Near-real-time updates ensure your MySQL reports reflect recent customer interactions without overwhelming your database infrastructure.
What MySQL data types are used when replicating Hi Platform fields? ▼
Kondado automatically maps Hi Platform fields to appropriate MySQL data types, converting timestamps to DATETIME fields, numerical identifiers to INT or BIGINT, and text content to VARCHAR or TEXT columns. This preserves the integrity of your Hi Platform information while ensuring optimal query performance. The resulting schema allows immediate use with standard SQL operations and business intelligence tools.
Can I combine Hi Platform ticket data with other sources in MySQL? ▼
Yes, MySQL serves as a central repository where Hi Platform data can coexist alongside information from other sources like your CRM or e-commerce platform. You can write JOIN queries across tables to correlate ticket volume with sales transactions or marketing campaign dates. This unified approach enables comprehensive analysis in Power BI or Looker Studio that connects customer service metrics to revenue impact.
Do I need technical skills to set up the Hi Platform MySQL connection? ▼
The setup requires no coding knowledge, as Kondado provides a guided interface for connecting both your Hi Platform account and MySQL destination. You authenticate through standard credential inputs and select pipelines using dropdown menus rather than writing SQL or API calls. Database administrators can then focus on query optimization while analysts immediately begin accessing the replicated data.
How do I build custom dashboards from Hi Platform data in MySQL? ▼
Once your data resides in MySQL, connect your visualization tool such as Power BI, Looker Studio, or Google Sheets directly to the database. Write SQL queries to aggregate ticket metrics by time period, agent, or status, then map these results to charts and graphs. This approach delivers tailored reports that track specific key performance indicators relevant to your customer service operations.
What happens to historical Hi Platform data when I first connect to MySQL? ▼
The initial replication pulls existing historical records from your Hi Platform Tickets pipeline into MySQL, creating a comprehensive baseline for trend analysis. Kondado captures all available past data within the API limits, populating your database with fields like historical resolved_at timestamps and account interactions. Subsequent updates then maintain this history while adding new records according to your schedule.

Try out all the features for free for 14 days