No-code pipeline · 55pbx → BigQuery

Send data from 55pbx to BigQuery

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From 55pbx to BigQuery: managed, scheduled, no code.

Creating a pipeline that sends data from 55pbx to BigQuery data warehouses takes only a few minutes with Kondado. And the whole integration from 55pbx to BigQuery is managed and executed by our platform. With Kondado, you can focus on extracting value from 55pbx data and combining it with other data in your BigQuery data warehouse

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Send 55pbx Data to BigQuery

Sending your 55pbx call center data to BigQuery requires no engineering effort when using Kondado. Simply select 55pbx as your data source, authenticate your account, and choose BigQuery as your destination to start replicating data on a configurable schedule. The platform handles the technical complexity of extracting call records and agent metrics from your 0800 and 4003 numbers, transforming them into query-ready formats, and loading them into your Google Cloud data warehouse. You can analyze call performance alongside CRM, sales, and marketing data without writing API code or managing infrastructure. Once configured, your contact center metrics stay synchronized automatically for consistent reporting.

Kondado provides direct integration between 55pbx and BigQuery, automatically replicating your contact center data including call details and agent status updates on schedules ranging from every 5 minutes to daily.

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

Available 55pbx Data in BigQuery

With the Calls pipeline, you can analyze call costs, durations, and disconnection patterns to optimize your 0800 and 4003 number performance directly in BigQuery. The Agent Status pipeline delivers granular visibility into pause reasons, queue assignments, and action durations, enabling you to calculate occupancy rates and identify coaching opportunities. Combine these datasets to build custom dashboards that correlate service level achievements with individual agent productivity, or blend 55pbx metrics with CRM data stored in your data warehouse for complete customer journey analysis.

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Replicated to BigQuery

55pbx data available for BigQuery

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

available pipelines

extractable fields

BigQuery

Destination

Available integrations

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 → Send 55pbx to BigQuery →

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How to send 55pbx data to BigQuery

Sync data automatically — no code, no manual exports.

Connect 55pbx to Kondado

Authenticate your 55pbx account in Kondado by providing your API credentials through the interface. The platform automatically discovers your available call center data including the Calls and Agent Status pipelines.

Configure BigQuery destination

Select BigQuery as your destination and specify your Google Cloud project, dataset, and table preferences. Kondado handles the schema creation and optimization for your contact center data automatically.

Select pipelines and schedule

Choose which 55pbx pipelines to activate and set your update frequency from every 5 minutes to daily. Your 55pbx data begins replicating to BigQuery immediately according to your configured timeline.

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Send data from 55pbx to other destinations

55pbx > Looker Studio

55pbx > Power BI

Other visualizations

55pbx > Amazon S3

55pbx > BigQuery

55pbx > Excel

55pbx > Google Sheets

55pbx > MySQL

55pbx > PostgreSQL

55pbx > Redshift

55pbx > SQL Server

Choose a tool to visualize your 55pbx data

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

55pbx > Airtable

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55pbx > Amazon Quicksight

55pbx > BIMachine

55pbx > Cortex

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55pbx > Geckoboard

55pbx > Grafana

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55pbx > Klipfolio

55pbx > Looker Studio

55pbx > Looker

55pbx > Looqbox

55pbx > Metabase

55pbx > Microstrategy

55pbx > Pentaho

55pbx > Power BI

55pbx > Qlik Cloud Analytics

55pbx > Qlik Sense

55pbx > Qlik

55pbx > QlikView

55pbx > Redash

55pbx > Superset

55pbx > Tableau

55pbx > BI TOTVS

55pbx > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending 55pbx data to BigQuery automatically

How does Kondado replicate 55pbx data to BigQuery? ▼

Kondado connects directly to your 55pbx account via API to extract call records and agent status information. The platform automatically structures this data into optimized schemas and loads it into your specified BigQuery dataset on your chosen schedule. You maintain full control over which pipelines are active and how frequently they update.

What specific 55pbx data can I replicate to BigQuery? ▼

You can replicate data from two main pipelines: the Calls pipeline containing call IDs, costs, durations, user names, and disconnection types, plus the Agent Status pipeline with pause reasons, queue information, action durations, and remaining pause times. This gives you complete visibility into both customer interactions and workforce management metrics.

How often does 55pbx data update in BigQuery? ▼

Kondado updates your BigQuery data on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. This near-real-time replication ensures your contact center reports reflect current operational conditions without manual data exports.

What format does 55pbx data take in BigQuery? ▼

Your 55pbx data arrives in BigQuery as structured datasets with properly typed fields, ready for SQL queries and joins with your existing information. Each pipeline creates distinct tables containing up to 70 fields of contact center metrics that integrate seamlessly with your data warehouse architecture.

Can I combine 55pbx data with other sources in BigQuery? ▼

Yes, once your 55pbx data resides in BigQuery, you can join it with information from other data sources like your CRM, ERP, or marketing platforms. This enables comprehensive analysis correlating call center performance with sales conversions, campaign effectiveness, or customer satisfaction scores.

Do I need coding skills to send 55pbx data to BigQuery? ▼

No coding is required to configure the connection between 55pbx and BigQuery through Kondado. The interface guides you through authentication, pipeline selection, and scheduling without writing SQL, Python, or API scripts.

Can I send 55pbx data to destinations other than BigQuery? ▼

Yes, while BigQuery offers powerful analytics capabilities, you can also send 55pbx data to Power BI, Looker Studio, Google Sheets, PostgreSQL, MySQL, Excel, Redshift, SQL Server, or Amazon S3. This flexibility allows you to choose the destination that best fits your technical infrastructure and reporting workflows.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days