Case Study: Voyager Labs achieves scalable, cost-effective data analytics with DoiT International

How Voyager Labs identifies nuggets of insight from 120K events/second

Voyager Labs, a technology company in Tel Aviv, needed a way to analyze billions of data points and turn them into actionable insights while handling massive data volumes of about 10 TB per day and ingesting at least 120K events per second. DoiT International helped design a secure, flexible, and cost-effective data collection, storage, and analytics platform using AWS managed services such as Amazon S3, Kinesis, Kinesis Firehose, IAM, and SageMaker.

With DoiT International’s solution, Voyager Labs now runs fully managed Spark clusters with elastic scaling and spot instances, uses serverless data ingestion, and benefits from a consistent research experience in SageMaker. The move to Amazon S3 reduced disk capacity costs by 300%, while managed services eliminated maintenance burden and improved scalability and speed of product development.

Voyager Labs

Chen Goldberg

Voyager Labs