No-code pipeline · Huggy → Amazon S3

Send data from Huggy to Amazon S3

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From Huggy to Amazon S3: managed, scheduled, no code.

Kondado replicates Huggy’s Agents, Contacts, Chats, and Chat Satisfaction Surveys to Amazon S3 on a configurable schedule, enabling automated data pipelines that keep your S3 storage updated with fresh customer interaction data for analysis with Athena, Presto, or Dremio.

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Send Huggy Data to Amazon S3 Automatically

Kondado provides a direct integration between Huggy and Amazon S3, allowing you to replicate your customer communication data without writing code. Simply authenticate your Huggy account, configure your Amazon S3 bucket as the destination, and select which pipelines you want to replicate. The platform handles the automated extraction and loading on your chosen schedule, whether you need updates every 5 minutes or daily batches.

Once your data arrives in Amazon S3, you can leverage it for advanced analytics, combine it with other business data sources, or feed it into business intelligence tools like Power BI or Looker Studio. This automated workflow eliminates manual exports and ensures your team always works with current information from your Huggy omnichannel communication platform, enabling faster decision-making and more accurate reporting.

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With the Contacts pipeline, you can build comprehensive lead segmentation models in Amazon S3 by analyzing customer profiles alongside conversation history from the Chats pipeline. Track service quality trends by combining the Agents pipeline with Chat Satisfaction Surveys to correlate individual agent performance with customer feedback scores. This data combination in S3 enables you to create custom dashboards that measure response efficiency, identify high-value leads, and optimize your omnichannel communication strategy using analytics tools like Athena or Presto.

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Replicated to Amazon S3

Huggy data available for Amazon S3

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

available pipelines

extractable fields

Amazon S3

Destination

Available integrations

Agents

Table contains information about agents, including fields such as id, name, and department.

Contacts

Table presents contacts with fields such as id, name, phone, and email, enabling efficient lead management.

Chats

Table records chat details, including id, contactid, agentid, and timestamps such as createdat and closedat.

Chat Satisfaction Surveys

Table contains chat feedback, with fields such as chat_id, feedback_score, and feedback_text, allowing satisfaction analysis.

See all available data → Send Huggy to Amazon S3 →

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How to send Huggy data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect Your Huggy Account

Authenticate your Huggy data source in Kondado by providing your API credentials, allowing the platform to access your Agents, Contacts, and Chats data.

Configure Amazon S3 Destination

Enter your AWS bucket details and authentication keys to establish Amazon S3 as your target storage location for the replicated data.

Select Pipelines and Schedule

Choose which Huggy pipelines to replicate and set your preferred update frequency, from near-real-time 5-minute intervals to daily batches.

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Send data from Huggy to other destinations

Huggy > Looker Studio

Huggy > Power BI

Other visualizations

Huggy > Amazon S3

Huggy > BigQuery

Huggy > Excel

Huggy > Google Sheets

Huggy > MySQL

Huggy > PostgreSQL

Huggy > Redshift

Huggy > SQL Server

Choose a tool to visualize your Huggy data

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

Huggy > Airtable

Huggy > Alteryx

Huggy > Amazon Quicksight

Huggy > BIMachine

Huggy > Cortex

Huggy > Data Studio

Huggy > Geckoboard

Huggy > Grafana

Huggy > IBM Cognos Analytics

Huggy > Klipfolio

Huggy > Looker Studio

Huggy > Looker

Huggy > Looqbox

Huggy > Metabase

Huggy > Microstrategy

Huggy > Pentaho

Huggy > Power BI

Huggy > Qlik Cloud Analytics

Huggy > Qlik Sense

Huggy > Qlik

Huggy > QlikView

Huggy > Redash

Huggy > Superset

Huggy > Tableau

Huggy > BI TOTVS

Huggy > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Huggy data to Amazon S3 automatically

How does Kondado extract data from Huggy for Amazon S3 storage? ▼

Kondado connects to the Huggy API using your authentication credentials to pull data from the available pipelines. The service handles pagination, rate limiting, and incremental updates automatically, ensuring complete data retrieval without manual intervention.

Which specific fields are available in the Huggy pipelines replicated to Amazon S3? ▼

The 33 available fields include agent identifiers and department assignments from the Agents pipeline, contact phone numbers and emails from Contacts, chat timestamps and participant IDs from Chats, and satisfaction scores with feedback text from Chat Satisfaction Surveys.

Can I adjust the replication schedule after initial setup for my Huggy to Amazon S3 pipeline? ▼

Yes, you can modify the update frequency at any time through the Kondado dashboard, switching between 5-minute, 15-minute, hourly, or daily intervals based on your evolving business needs and analytical requirements.

How is Huggy data organized within my Amazon S3 bucket structure? ▼

Data is organized in a logical folder hierarchy within your specified S3 bucket, typically separated by pipeline name and date partitions, making it easy to query specific time periods using Athena or implement lifecycle policies for cost-effective storage management.

Is it possible to replicate Huggy data alongside CRM or ERP information in Amazon S3? ▼

Absolutely, you can consolidate Huggy communication data with information from PostgreSQL, MySQL, or other sources in the same S3 environment. This unified approach enables comprehensive customer journey analysis across sales, support, and marketing touchpoints.

Can I route Huggy data to visualization tools instead of storing it in Amazon S3? ▼

Yes, Kondado supports sending Huggy data directly to Power BI, Looker Studio, Google Sheets, or BigQuery if you prefer immediate dashboard creation over data lake architecture.

What happens to historical Huggy data when I first connect to Amazon S3? ▼

Kondado performs an initial full replication of your existing Huggy records when you first activate the pipeline, then switches to incremental updates based on your schedule to capture new chats, contacts, and satisfaction surveys as they occur.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days