What 55pbx data can I replicate to Amazon S3?

Kondado offers two pipelines from 55pbx to Amazon S3: the Calls pipeline containing call IDs, costs, duration, user names, and disconnection types, and the Agent Status pipeline with agent actions, pause reasons, queue information, and remaining pause times. These 70 fields cover your complete contact center activity for analysis.

How often does 55pbx data update in Amazon S3?

You configure the replication schedule based on your business needs, selecting intervals from every 5 minutes for near-real-time analysis up to daily updates for batch processing. Kondado automatically manages the data delivery to your S3 buckets according to your chosen frequency without manual intervention.

What file format does 55pbx data use in Amazon S3?

Data arrives in structured formats optimized for AWS analytics services like Athena, Presto, and Dremio, typically as compressed columnar files that enable efficient querying across large contact center datasets without transformation.

Can I combine 55pbx data with other sources in Amazon S3?

Yes, store your 55pbx data alongside CRM exports or financial records in the same S3 buckets to create unified datasets. Join call metrics with other business information using SQL queries in Athena or Presto for comprehensive analysis across your organization.

How do I query 55pbx data once it is in Amazon S3?

Use Amazon Athena to run SQL queries directly against your S3-stored 55pbx data without moving files, or connect business intelligence tools like Power BI , Looker Studio , or BigQuery to build visualizations from your contact center metrics.

What is the difference between the Calls and Agent Status pipelines?

The Calls pipeline focuses on communication records including call costs and duration, while the Agent Status pipeline tracks workforce activity such as pause reasons and time spent in different states. Together they provide complete visibility into both customer interactions and team productivity.

Do I need technical skills to set up 55pbx to Amazon S3 replication?

No coding is required to connect your 55pbx account and configure Amazon S3 as your destination. The interface guides you through selecting pipelines and setting your schedule, making it accessible for analysts while delivering data ready for Power BI , Looker Studio , or other visualization tools.

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Send 55pbx Data to Amazon S3 with Automated Pipelines

Connect your 55pbx account to Kondado and select Amazon S3 as your destination to start replicating contact center data without writing any code. Choose which pipelines you want to enable from the available 55pbx data source options, configure your preferred update frequency ranging from every 5 minutes to daily schedules, and let Kondado handle the automated data delivery directly to your specified S3 buckets. Your 55pbx data arrives in structured formats compatible with AWS analytics services, enabling immediate analysis of call metrics and agent performance indicators.

Kondado provides direct integration between 55pbx and Amazon S3, replicating your contact center data on a configurable schedule ranging from every 5 minutes to daily intervals. The platform delivers 55pbx Calls and Agent Status pipelines directly to your S3 buckets in a structured format ready for analysis with Athena, Presto, or Dremio.

Once configured, Kondado maintains your data replication automatically, ensuring your Amazon S3 storage always contains current information from your 55pbx CCaaS environment. Use this fresh data to build custom dashboards, combine with other business sources, or feed into your existing data virtualization layer for comprehensive reporting across your entire organization.

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

Available 55pbx Pipelines for Amazon S3

Replicate your 55pbx Calls pipeline to Amazon S3 to analyze call costs, duration patterns, and disconnection types alongside other business metrics stored in your data lake. The Agent Status pipeline delivers detailed agent activity data including pause reasons and queue information, enabling workforce optimization analysis when combined with HR or scheduling data in Athena or Presto. With both pipelines available in your S3 buckets, you can create comprehensive contact center reports that track performance trends, calculate true cost per call, and monitor agent productivity across different time periods without manual data exports.

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55pbx data available for Amazon S3

available pipelines

extractable fields

Available integrations

Integration	Description
Calls	Table contains data about calls, including call ID, call cost, and total duration. Information such as user name and disconnection type is also available.
Agent Status	Table presents agent status, including user name, action duration, and pause reason. Information about the queue and remaining pause time is also included.

Calls

Table contains data about calls, including call ID, call cost, and total duration. Information such as user name and disconnection type is also available.

Agent Status

Table presents agent status, including user name, action duration, and pause reason. Information about the queue and remaining pause time is also included.

See all available data →

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How to send 55pbx data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect 55pbx Data Source

Enter your 55pbx credentials in Kondado to establish the connection and authorize access to your contact center pipelines.

Configure Amazon S3 Destination

Set up your Amazon S3 bucket as the destination, specifying the path where your replicated data will be stored for analysis with Athena or Presto.

Select Pipelines and Schedule

Choose which 55pbx pipelines to enable and define your update frequency from every 5 minutes to daily, then activate automated replication to Amazon S3.

Try out all the features for free for 14 days