No-code pipeline · Pushwoosh → MySQL

Send data from Pushwoosh to MySQL

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From Pushwoosh to MySQL: managed, scheduled, no code.

Kondado replicates Pushwoosh marketing data including Apps, Push History, Push Stats, and App Stats to MySQL automatically on a configurable schedule, enabling SQL-based analysis of push notification performance without manual API extraction.

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Connect Pushwoosh to MySQL for Automated Replication

Setting up a data pipeline from Pushwoosh to MySQL takes minutes with Kondado’s no-code platform. Simply authenticate your Pushwoosh account as a data source, configure your MySQL database as the destination, and select which pipelines you want to replicate. Kondado handles the automated data extraction and loading on your preferred schedule, whether you need updates every five minutes, hourly, or daily, ensuring your MySQL tables always contain fresh marketing data.

Once your Pushwoosh data lands in MySQL, you can query campaign performance metrics using standard SQL, build custom dashboards in Power BI or Looker Studio, and combine mobile engagement data with other business sources. Marketing teams gain immediate access to granular push notification statistics while analysts maintain full control over data modeling and storage costs in their existing MySQL environment. This direct integration eliminates manual CSV exports and complex API scripting, letting you focus on deriving insights rather than data wrangling.

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Available Pushwoosh pipelines for MySQL

The Push History pipeline delivers comprehensive campaign records including send dates, campaign names, and platform-specific parameters for Android and iOS directly into your MySQL database. Combined with the Push Stats pipeline, which tracks interaction counts and action metrics over time, you can calculate precise engagement rates and identify optimal sending times using standard SQL queries. The Apps pipeline provides foundational metadata and interaction statistics that let you compare performance across different mobile applications, enabling consolidated reporting when you join this data with user behavior information from Pushwoosh and other sources in your MySQL warehouse.

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Replicated to MySQL

Pushwoosh data available for MySQL

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

available pipelines

extractable fields

MySQL

Destination

Available integrations

Apps

Contains information about app code, app name, and statistics such as interaction count.

Push History

Records details such as ID, campaign name, send date, and specific parameters for Android and iOS.

Push Stats

Presents metrics such as action, stat date and time, push code, and interaction count.

App Stats

Provides data on action, app code, stat date and time, and event count.

See all available data → Send Pushwoosh to MySQL →

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How to send Pushwoosh data to MySQL

Sync data automatically — no code, no manual exports.

Connect Pushwoosh as data source

Authenticate your Pushwoosh account by providing your API credentials in the Kondado interface to establish the data source connection.

Configure MySQL destination

Enter your MySQL host, database name, and credentials to establish the target location where your Pushwoosh pipelines will replicate.

Select pipelines and schedule

Choose which Pushwoosh pipelines to replicate and set your preferred update frequency from five minutes to daily intervals.

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Send data from Pushwoosh to other destinations

Pushwoosh > Looker Studio

Pushwoosh > Power BI

Other visualizations

Pushwoosh > Amazon S3

Pushwoosh > BigQuery

Pushwoosh > Excel

Pushwoosh > Google Sheets

Pushwoosh > MySQL

Pushwoosh > PostgreSQL

Pushwoosh > Redshift

Pushwoosh > SQL Server

Choose a tool to visualize your Pushwoosh data

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

Pushwoosh > Airtable

Pushwoosh > Alteryx

Pushwoosh > Amazon Quicksight

Pushwoosh > BIMachine

Pushwoosh > Cortex

Pushwoosh > Data Studio

Pushwoosh > Geckoboard

Pushwoosh > Grafana

Pushwoosh > IBM Cognos Analytics

Pushwoosh > Klipfolio

Pushwoosh > Looker Studio

Pushwoosh > Looker

Pushwoosh > Looqbox

Pushwoosh > Metabase

Pushwoosh > Microstrategy

Pushwoosh > Pentaho

Pushwoosh > Power BI

Pushwoosh > Qlik Cloud Analytics

Pushwoosh > Qlik Sense

Pushwoosh > Qlik

Pushwoosh > QlikView

Pushwoosh > Redash

Pushwoosh > Superset

Pushwoosh > Tableau

Pushwoosh > BI TOTVS

Pushwoosh > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Pushwoosh data to MySQL automatically

What specific Pushwoosh campaign data gets replicated to MySQL? ▼

Kondado replicates four distinct pipelines including Push History with campaign IDs, send dates, and platform-specific Android and iOS parameters, alongside Push Stats containing action metrics and interaction counts. The Apps pipeline includes app codes and names, while App Stats tracks event counts and temporal data for each application.

How frequently can I schedule Pushwoosh data updates to MySQL? ▼

You can configure automated updates to run every five minutes, fifteen minutes, hourly, or daily depending on your analysis requirements and API rate limits. This near-real-time replication ensures your MySQL database reflects the latest push notification performance without manual intervention.

Can I merge Pushwoosh push notification stats with CRM data in MySQL? ▼

Yes, once your Pushwoosh data resides in MySQL, you can perform SQL joins with CRM tables, customer databases, or e-commerce platforms to correlate mobile engagement with revenue events. Many users combine this data with sources like PostgreSQL or BigQuery through MySQL federation or export it to Power BI for unified dashboards.

What format does Pushwoosh data take when stored in MySQL? ▼

Data arrives as structured relational tables with standard data types, where JSON fields from the Pushwoosh API are parsed into queryable columns. Each pipeline creates separate tables that maintain referential integrity through primary keys like push IDs and app codes, ready for immediate SQL analysis.

Is it possible to replicate multiple Pushwoosh apps to the same MySQL database? ▼

Yes, Kondado supports replicating data from multiple Pushwoosh applications simultaneously into separate or shared MySQL schemas. The Apps pipeline identifies each app through unique app codes, allowing you to segment analytics by application while maintaining centralized storage.

Can I send Pushwoosh data to MySQL and visualization tools at the same time? ▼

Absolutely, Kondado supports multiple destinations so you can replicate Pushwoosh data to MySQL for warehousing while simultaneously sending it to Google Sheets for quick sharing or Looker Studio for immediate dashboarding. This parallel routing eliminates the need to manually copy data between systems.

Try out all the features for free for 14 days

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Try out all the features for free for 14 days