No-code pipeline · api4com → Redshift

Send data from api4com to Redshift

Get started for free

No credit card required | 14 days | 10 million records | 30 pipelines

or sign up with your email

By signing up, you agree to Kondado’s Terms of service and Privacy policy

From api4com to Redshift: managed, scheduled, no code.

Kondado automatically replicates api4com Voice Calls and Recharge History data to Amazon Redshift on a configurable schedule, updating your data warehouse every 5 minutes, 15 minutes, hourly, or daily based on your business requirements.

Connect api4com now →

Send api4com Data to Redshift Automatically

Connecting your voice communication data to your data warehouse requires a reliable method for automated data movement. Kondado provides a direct integration between api4com and Amazon Redshift, allowing you to replicate call records and recharge information without writing custom code or managing complex API connections. Simply authenticate your api4com account, configure your Redshift destination, and select which pipelines you want to replicate on your preferred schedule.

Once configured, your api4com data flows directly into Redshift tables optimized for analytical queries. Marketing agencies and customer support teams can analyze call duration, costs, and recharge patterns alongside other business data to optimize communication strategies and budget allocation. The automated process ensures your Redshift environment always contains current information for reporting in Power BI, Looker Studio, or your preferred analytics platform.

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

Available api4com Pipelines for Redshift

The Voice Calls pipeline delivers detailed communication records including caller identifiers, call duration, and pricing data directly into your Redshift cluster. This enables support managers to calculate average handling times and identify peak calling periods while finance teams monitor telecommunication expenses through SQL queries against their data warehouse. Additionally, the Recharge History pipeline tracks username, credit dates, and recharge values, allowing you to correlate funding activities with usage patterns and predict future credit needs based on historical consumption trends. By combining these pipelines in Redshift with data from api4com and other sources, you create comprehensive views of communication costs and operational efficiency.

Try out all the features for free for 14 days

Replicated to Redshift

api4com data available for Redshift

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

available pipelines

extractable fields

Redshift

Destination

Available integrations

Voice Calls

Table provides details about calls, including fields such as 'from', 'to', 'duration', and 'call_price'.

Recharge History

Table contains information about recharges, highlighting fields such as 'username', 'credit_date', 'value', and 'obs'.

See all available data → Send api4com to Redshift →

Try out all the features for free for 14 days

How to send api4com data to Redshift

Sync data automatically — no code, no manual exports.

Connect api4com to Kondado

Enter your api4com API credentials in the Kondado interface to authenticate the data source and establish the initial connection. Kondado validates your access permissions to ensure reliable data extraction from your voice communication platform.

Configure Redshift destination

Provide your Redshift cluster details including host, database name, and credentials to designate where your api4com data should land. Kondado tests the destination connection to verify write access before proceeding to pipeline configuration.

Select pipelines and schedule

Choose between the Voice Calls and Recharge History pipelines, then set your preferred update frequency from 5 minutes to daily intervals. Once activated, Kondado begins replicating your selected data to Redshift automatically according to your schedule.

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado

Why Kondado?

Focus on extracting value from your data and leave the rest to us

Wherever you need

With the same platform, you send data to AI (Claude/ChatGPT via MCP), reports, spreadsheets, databases, data warehouses, and data lakes. ETL and ELT

Learn More About Our Platform →

From wherever you need

Data from over 80 sources for Marketing, Ecommerce, ERPs, Customer Service, Finance, Databases, and much more

Learn More About Our Data Sources →

Predictable pricing

No surprise invoices, pick a plan and change it anytime

Check out our plans →

Send data from api4com to other destinations

api4com > Looker Studio

api4com > Power BI

Other visualizations

api4com > Amazon S3

api4com > BigQuery

api4com > Excel

api4com > Google Sheets

api4com > MySQL

api4com > PostgreSQL

api4com > Redshift

api4com > SQL Server

Choose a tool to visualize your api4com data

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

api4com > Airtable

api4com > Alteryx

api4com > Amazon Quicksight

api4com > BIMachine

api4com > Cortex

api4com > Data Studio

api4com > Geckoboard

api4com > Grafana

api4com > IBM Cognos Analytics

api4com > Klipfolio

api4com > Looker Studio

api4com > Looker

api4com > Looqbox

api4com > Metabase

api4com > Microstrategy

api4com > Pentaho

api4com > Power BI

api4com > Qlik Cloud Analytics

api4com > Qlik Sense

api4com > Qlik

api4com > QlikView

api4com > Redash

api4com > Superset

api4com > Tableau

api4com > BI TOTVS

api4com > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending api4com data to Redshift automatically

How does the api4com to Redshift connection work? ▼

Kondado uses your api4com API credentials to extract Voice Calls and Recharge History data, then loads it into designated Redshift tables on your chosen schedule. The process requires no manual intervention after initial configuration, with data transformation handled automatically to match Redshift's columnar storage format. You can monitor pipeline status and historical syncs directly from your Kondado dashboard.

What specific data fields are available from api4com in Redshift? ▼

The Voice Calls pipeline includes fields such as from, to, duration, and call_price, while Recharge History contains username, credit_date, value, and obs. These 23 total fields map to corresponding columns in your Redshift schema, preserving the original data types for accurate SQL analysis. You can select specific pipelines during setup to replicate only the datasets relevant to your reporting needs.

How often does api4com data update in Redshift? ▼

Kondado updates your Redshift data on a configurable schedule that you define during setup, with options ranging from every 5 minutes to daily intervals. This near-real-time approach ensures your analytics reflect recent call activity and recharge transactions without overwhelming your api4com API limits. You can modify the frequency anytime based on seasonal business demands or analytical requirements.

Can I combine api4com data with other sources in Redshift? ▼

Yes, Redshift's architecture allows you to join data from your api4com pipelines with information from other sources like BigQuery exports, PostgreSQL databases, or Google Sheets uploads within the same warehouse. This enables cross-functional analysis such as correlating call volumes with sales data from your CRM or support tickets from your helpdesk platform. Kondado maintains separate pipelines for each source while ensuring consistent formatting for seamless SQL joins.

What data format does api4com use when stored in Redshift? ▼

api4com data arrives in Redshift as structured relational tables with standard PostgreSQL-compatible data types, including timestamps for call durations and decimal precision for pricing fields. The columnar storage format in Redshift optimizes query performance for large historical datasets, allowing complex aggregations across millions of call records. Each pipeline creates distinct tables that you can reference using standard SQL syntax in your analytics workflows.

Do I need coding skills to set up the api4com Redshift pipeline? ▼

No coding is required to establish the connection between api4com and Redshift through Kondado's interface. The setup process uses point-and-click configuration for authentication, destination settings, and pipeline selection. Technical users can customize advanced options, but business analysts can complete the entire implementation without writing SQL or API code.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days