No-code pipeline · Hi Platform → Amazon S3

Send data from Hi Platform to Amazon S3

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From Hi Platform to Amazon S3: managed, scheduled, no code.

Creating a pipeline that sends data from Hi Platform to Amazon S3 data lakes takes only a few minutes with Kondado. And the whole integration from Hi Platform to Amazon S3 is managed and executed by our platform. With Kondado, you can focus on extracting value from Hi Platform data and combining it with other data in your Amazon S3 data lake

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Send Hi Platform Data to Amazon S3

To send Hi Platform data to Amazon S3, start by connecting your Hi Platform account as a data source and selecting the Tickets pipeline. Kondado extracts ticket information, customer interactions, and resolution timestamps automatically, then loads this data into your specified S3 bucket. You configure the replication frequency to match your business needs, whether that is every 5 minutes for operational monitoring or daily for comprehensive reporting. Once in Amazon S3, your Hi Platform data becomes available for advanced analytics, allowing you to combine customer support metrics with other business data using tools like Athena or Presto.

Kondado provides a direct integration between Hi Platform and Amazon S3 that replicates support tickets and customer service data on a configurable schedule. The pipeline extracts 220 fields including ticket IDs, account information, status updates, and resolution timestamps, then loads the data into your S3 storage for analysis with Athena, Presto, or Dremio.

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Available Hi Platform Data in Amazon S3

The Tickets pipeline captures comprehensive support data including ticket lifecycle events, customer account associations, and resolution metrics. Once replicated to Amazon S3, you can analyze this data to identify support bottlenecks, track agent performance trends, and calculate average resolution times across different customer segments. Combine Hi Platform ticket data with sales information from other sources in your S3 data lake to build custom reports that correlate customer service quality with revenue retention, or use the raw data to feed machine learning models that predict ticket escalation risks.

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Replicated to Amazon S3

Hi Platform data available for Amazon S3

Tables Kondado writes into your Amazon S3, on a schedule you control.

available pipeline

220

extractable fields

Amazon S3

Destination

Available integrations

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 → Send Hi Platform to Amazon S3 →

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How to send Hi Platform data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect Hi Platform Account

Authenticate your Hi Platform credentials in Kondado to establish the data source connection and access the available Tickets pipeline.

Configure Amazon S3 Destination

Enter your S3 bucket details and authentication credentials to establish where your Hi Platform ticket data will be stored and organized.

Select Data and Schedule

Choose the Tickets pipeline containing 220 fields and set your preferred replication frequency, from 5-minute intervals to daily updates.

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Send data from Hi Platform to other destinations

Hi Platform > Looker Studio

Hi Platform > Power BI

Other visualizations

Hi Platform > Amazon S3

Hi Platform > BigQuery

Hi Platform > Excel

Hi Platform > Google Sheets

Hi Platform > MySQL

Hi Platform > PostgreSQL

Hi Platform > Redshift

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

Hi Platform > Airtable

Hi Platform > Alteryx

Hi Platform > Amazon Quicksight

Hi Platform > BIMachine

Hi Platform > Cortex

Hi Platform > Data Studio

Hi Platform > Geckoboard

Hi Platform > Grafana

Hi Platform > IBM Cognos Analytics

Hi Platform > Klipfolio

Hi Platform > Looker Studio

Hi Platform > Looker

Hi Platform > Looqbox

Hi Platform > Metabase

Hi Platform > Microstrategy

Hi Platform > Pentaho

Hi Platform > Power BI

Hi Platform > Qlik Cloud Analytics

Hi Platform > Qlik Sense

Hi Platform > Qlik

Hi Platform > QlikView

Hi Platform > Redash

Hi Platform > Superset

Hi Platform > Tableau

Hi Platform > BI TOTVS

Hi Platform > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Hi Platform data to Amazon S3 automatically

How does Kondado replicate Hi Platform data to Amazon S3? ▼

Kondado connects to the Hi Platform API and extracts data from the Tickets pipeline on your configured schedule. The platform handles the data transformation and loads it directly into your specified S3 bucket, maintaining field structures and data types throughout the process.

What Hi Platform data can I replicate to Amazon S3? ▼

You can replicate the Tickets pipeline, which contains 220 fields covering ticket IDs, account associations, status changes, and timestamps like created_at and resolved_at. This includes all ticket interactions and metadata needed for comprehensive support analytics.

How often does Hi Platform data update in Amazon S3? ▼

You choose the update frequency when configuring the pipeline, with options ranging from every 5 minutes to daily schedules. The replication runs automatically on this schedule, ensuring your S3 bucket contains current data without manual intervention.

What file format does Hi Platform data use in Amazon S3? ▼

The data is stored in your Amazon S3 bucket in a structured format that works seamlessly with analytics engines like Athena, Presto, and Dremio. This allows you to run SQL queries directly against your Hi Platform data without additional transformation steps.

Can I combine Hi Platform data with other sources in Amazon S3? ▼

Yes, Amazon S3 serves as a central data lake where you can combine Hi Platform tickets with information from sales platforms and marketing tools. Store all your business data together to build comprehensive reports in Power BI or BigQuery.

Do I need coding skills to send Hi Platform data to Amazon S3? ▼

No coding is required to set up the connection between Hi Platform and Amazon S3. Kondado provides a no-code interface where you authenticate your Hi Platform account, select the Tickets pipeline, and configure your S3 destination through point-and-click selections.

Can I send Hi Platform data to destinations other than Amazon S3? ▼

Yes, Kondado supports multiple destinations, so you can send Hi Platform data to BigQuery, PostgreSQL, or Google Sheets in addition to Amazon S3. This flexibility allows you to route support data to the tools your team already uses.

How do I query Hi Platform data once it is in Amazon S3? ▼

Once in Amazon S3, you can query Hi Platform data using AWS Athena, Presto, or Dremio for data virtualization. These tools allow you to run complex SQL queries across your ticket data, join it with other datasets, and create custom visualizations without moving the data out of S3.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days