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What is AdLibertas?

AdLibertas helps app developers use app-generated data to get answers on how to grow their app.

Summary: The AdLibertas platform collects, processes and stores your app’s data then gives users in your organization, flexible, easy-to-use interactive analytics.

2:29s introduction video

How it works

The AdLibertas Architecture

AdLibertas functions as your private end-to-end data cloud: we do the heavy lifting of managing your data so you can focus your efforts on more valuable activities.

Step 1. API Data Collection

We have 100+ APIs that are scheduled to batch-fetch your data from all in-app service providers. We don’t require an SDK for integration, and most data can be collected by simply connecting credentials.

For more information, please see our supported integrations.

Step 2. Data Pipeline: Processing & Storage
Scheduled Data Import & ETL

Our scheduled, overlapping data import schedules ensures the latest data available is accessible while back-fetching ensures any later-posted data is added to keep data access timely and correct.

We’ve pre-built the ETL & processing algorithms so there’s no need for you to wrestle with scripting your own

Fully managed data lake

For every AdLibertas customer we spin up a single-tenant AWS account to house and store your data. We’ve architected your data to be stored as ORC files in S3 buckets. This maximizes long-term cost-efficiency and maintain accessibility and security for all clients. There’s no maintenance or overhead needed.

Building your own Data Pipeline: Best Practices

For app developers that want to architect, build and maintain their own data architecture, AdLibertas Head of Architecture, Allen Eubank, shares our experiences in building a scalable, reliable data pipeline.

Fast, parallel-distributed query processing

For processing the many petabytes of information generated by our clients, we adopted Trino a fast, highly parallel and distributed query engine that is built from the ground up for efficient, low latency analytics at scale. 

Read how and why AdLibertas uses Trino to enable their customers.
Step 3. End User Reporting & Access
Self-service no-SQL analysis

Our analytics give all users in your organization the ability to build custom-defined user datasets, defined by user-events, actions and/or user-characteristics. There’s on need for complicated SQL-joins or custom Tableau reports, anyone can simply drag and drop user-audiences. This gives your organization complete control and flexibility in refining their data-sets to find the important users and actions in your app.

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Interactive, custom reporting & prediction models

Your organization can compare audience datasets across performance metrics and custom events

Direct SQL Access & Custom Processing

For customers who want direct access to the data, we offer direct SQL-access via Amazon Athena, or end-points to access and download reports. Additionally, customers can spin up their own computing clusters to run advanced or custom models against their users or custom-datasets.

Recommended: Getting Started with AdLibertas

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