Data Pipeline
Let our proven analytics infrastructure deliver your data so you can focus on the insights.
Explore the Data Pipeline technical documentation
Data Pipeline
Tech Docs
How it works
Take ownership of your data; analyze it using your existing
tools. Our data pipeline collects, enhances and streams
real-time user and content data to your warehouse.
1. We track and collect
Leverage Parse.ly's JavaScript and native mobile trackers to collect data on all your sites and apps. Our proven distributed infrastructure ensures every event is captured reliably.
2. We clean and enrich
As clickstream events arrive, we automatically enrich them, adding attributes like device type and geographic region. We deliver the enriched events in real-time to a Kinesis Stream hosted in AWS, and archive them in an S3 Bucket.
3. You own and analyze
You can use the data streams directly in AWS or integrate them with Redshift, BigQuery or other tools using our open source recipes. You now own a clean, structured, first-party data source that your team can analyze directly.
An ideal data source for tools you love
Whether you use an in-house database or any number of other analytics engines, Parse.ly's data formats work well everywhere. Events follow a simple JSON format that will import easily.
Streaming access to real-time, bulk access to historic
Stream every single raw event in real-time and bulk-process or bulk-download all of your historical data in a matter of minutes.
Control and customize your data
Control and customization allows you to enrich and transform it before storing it in your warehouse.
"Parse.ly has gone out of its way to make our data readily available and queryable, working with us to implement a data pipeline that takes no maintenance on our end.
"Understanding site data is critical to our business, but the particular work of our data science team often requires access to the more granular data that underpins dashboards and reports. Getting access to this data used to be painful — excruciatingly painful. Not anymore."
How Mashable uses the Parse.ly Data Pipeline
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Use cases
There’s no limit to what you can do with Data Pipeline.
Data Science
Uncover your most valuable user segments.
Product Buildouts
Build real-time analytics, adtech, and predictive functionality.
Business Intelligence
Build custom views for anyone on your team.
In-depth Analysis
Answer your complex questions while leaving the day-to-day reports to Parse.ly's dashboard.
Audience Models
Analyze subscriber or loyal audience engagement.
Executive Reporting
Focus your teams around a single stream of data.
Get access to your raw data in minutes.
