Inneractive Implements Databricks for On-Demand Scalability and Machine Learning Capabilities

SAN FRANCISCO, CA--(Marketwired - Feb 4, 2016) - Databricks, the company behind Apache Spark, today announced that Inneractive, a global ad exchange focused on powering native and video ads, chose the Databricks platform as their go-to enterprise data solution. Databricks was selected for its ability to scale and support large volumes of diverse data sets while providing native machine learning capabilities to optimize the ad buying ROI for Inneractive customers.

At the heart of the Inneractive platform is a constant flow of user data upwards to over three billion rows per day. To utilize this data to its fullest potential, Inneractive needs the ability to not only query the data, but also build high performing machine learning models to improve the bidding outcome while satisfying stringent requirements in delivering value to the users of their platform. The team's existing tools took more time to process and query data, which meant Inneractive had to limit the number of queries made. This slowed the performance of their real-time ad serving capabilities.

To address these challenges, Inneractive implemented Databricks as a unified big data platform. With Databricks, Inneractive is able to query the data at scale without issue while also leveraging advanced analytics capabilities to build machine learning models in a distributed fashion. Databricks now provides Inneractive with benefits in several key areas, including:

• Accelerated processing of a wide variety of data types at large scale.
• Ability to independently scale compute and storage on-demand increase cost efficiency.
• Enabled data engineers to focus on building high performing machine learning models.

"As our data pipeline continues to grow exponentially, it's vital for us to handle data influx with seamless scalability and without limiting the ability to deliver timely insights to our customers. Databricks empowers us to innovate and seamlessly meet these growing demands of our business without pain," said Richard Grossman, system architect at Inneractive.

"Inneractive's requirements for on-demand scalability and data ingestion are common within Ad Tech where they are seeing an average of 240 gigabytes of raw data per day," said Kavitha Mariappan, vice president of marketing at Databricks. "Powered by Apache Spark, the Databricks platform is showing them real ROI -- from cost efficiency to a better customer experience. We're honored to be a critical driver in creating more value for their customers through data analytics."

Download the Inneractive case study: http://go.databricks.com/case-studies/inneractive
For more information on Databricks: https://www.databricks.com/product/databricks

About Databricks:
Databricks' vision is to make big data simple for the enterprise. The company was founded by the team that created and continues to drive Apache Spark, a powerful open source data processing engine built for sophisticated analytics, ease of use, and speed. Databricks is the largest contributor to the open source Spark project providing 10x more code than any other company. The company has also trained over 20,000 users on Apache Spark, and has the largest number of customers deploying Spark to date. Databricks is venture-backed by Andreessen Horowitz and NEA. For more information, contact info@databricks.com.