Mobile generates 10X more data than desktop.
As an always on, always compute, personal device, mobile devices generate over 120 different signals ranging from geo-location, accelerometer, camera, weather, activity, context, carrier and more.
Events ingested 9.2 billion/day
Ad Requests 4 Billion/day
Data Processed 240 TB/day
Total amount of new data generated in a single day 5 TB/day
Number of distinct analysis done directly on our Big-Data Hadoop warehouse ~800 / day
Monthly active users on our network 1 Billion
Leveraging big data to make smarter decisions.
Data driven optimization: Leverage our big data platform to optimize your approach to mobile advertising, from developing effective ads to driving higher CTRs and CVRs.
Precise user targeting: By processing billions of transactions every single day, our algorithms constantly refine targeting capabilities to help you reach a precise user group. We enable real-time decisions based on geo, user context and much more.
Maximizing monetization and LTV: With our machine-learning capabilities, our platform constantly works to maximize monetization for publishers. By identifying high-quality users, we deliver the most value for our customers.
We are a major contributor to open source projects on big data.
Apache Falcon: Falcon is a data management and process orchestration platform built by InMobi and shared with the larger community as open source through the Apache Software Foundation. Learn more
Pintail: Pintail is a client library that provides a streaming view of data as it arrives on HDFS, sourcing it from multiple clusters a.k.a ‘tailing’ a stream. Learn more
Conduit: Conduit is a system to collect the huge number of events data from online transactions, and make them available as a real-time stream to consumers. Learn more
Apache Lens: Lens provides an Unified Analytics Interface. Lens aims to cut the Data Analytics silos by providing a single view of data across multiple tiered data stores and optimal execution environment for the analytical query. It seamlessly integrates Hadoop with traditional data warehouses to appear like one. Learn more