XnPipe: Low-Code Data Pipeline Platform

Modern enterprises need to move data quickly and intelligently—from web and mobile apps, sensors, and third-party APIs into data lakes, warehouses, and analytics systems. Traditional ETL tools often struggle to keep up, requiring heavy engineering efforts and causing latency or data quality issues.

XnPipe solves these challenges with a low-code, modular platform built for scale, speed, and flexibility. It enables engineering and data teams to build robust pipelines that automate ingestion, transformation, and routing of high-volume data from diverse sources to modern destinations such as Amazon S3, Redshift, DynamoDB, Snowflake, and BigQuery.

Originally designed for demanding AdTech workloads, XnPipe processes millions of events per second using a high-throughput, low-latency architecture. Teams can quickly configure pipelines using intuitive tools and reusable modules, significantly reducing time-to-market while enhancing performance and cost efficiency.

XnPipe pipelines run on scalable, cloud-native infrastructure. Core services operate in Amazon EKS or EC2 clusters, ingest data via Amazon Kinesis or Kafka, and deliver results to S3, Redshift, or downstream APIs. AWS Lambda automates data enrichment and alerting, while Amazon CloudFront and Route 53 optimize performance for real-time use cases.

For flexible or hybrid environments, XnPipe supports on-premises Kubernetes clusters and allows replacement of default components (e.g., Aerospike, ClickHouse) with AWS-native services like DynamoDB or Redshift. This ensures seamless integration with your existing stack and cost model.

Solutions are tailored to your specific requirements and eligibility. Get a free consultation with our product managers and engineers to kick-start your project—contact us at hello@xenoss.io  or request a private offer.