iPass

Customer Case Study

Founded in 1996, iPass is the world’s largest wi-fi network serving over 160 network providers, with over 64 million hotspots in airports, hotels, airplanes, and public spaces in more than 140 countries across the globe.

Vertical Use Case

To provide an optimal user experience across their wi-fi network.

Technical Use Case

• Data Ingest and ETL
• Batch and Streaming
• Machine Learning
• Graph Processing

The Challenges

On-premises Hadoop system had scalability issues and was complex to maintain.
Wifi is unpredictable, but expectations are that it should work all the time
Fast paced, unregulated and ever changing environment
Unknown number of access points in the world
Security and performance a highly variable
Lack of information about where they are located and how secure they are
Growth is unregulated – anyone can plug in a router and become a wifi provider
Massive amounts of data to analyze in real time

The Solution

Databricks allows iPass to focus on building scalable business logic, not infrastructure, in order to more effectively monitor the state of the world’s wifi in real-time:

21+ billion scans performed in two months
100+ million hotspots identified
500+ million records analyzed
Quick iterative development – bi-weekly sprints including QA
Reduced time to-market from months to only two weeks
Easier to explore data and assess new ideas
Opened new revenue opportunities as iPass developed Data and Analytics product called Veri-Fi – $1M new business in 2017

Databricks allows us to quickly process and analyze data, run machine learning, support both batch and streaming, and most importantly, scale on-demand.

Tomasz Magdanski, Director, Big Data and Analytics, iPass

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