Partnerships & Memberships

Xenoss’s partnership with Aerospike allows us to continue to bolster our AdTech capabilities and provide our clients with unparalleled high-load architecture for their projects. Aerospike unleashes the power of real-time data to meet the demands of The Right Now Economy. With support for strong consistency and globally distributed, multi-cloud environments, Aerospike is an essential part of the modern data stack for Adobe, Airtel, Criteo, DBS Bank, Experian, PayPal, Snap, Sony Interactive Entertainment, The Trade Desk, and Wayfair.

Xenoss has a long track record of helping AdTech, MarTech, and Media companies migrate their on-premises infrastructure to Amazon Web Services, optimize their infrastructure costs, and leverage the full potential of AWS tools. On multiple occasions, we appreciated the flexibility, increased speed, and cost reduction potential AWS tools offer AdTech and MarTech vendors.

The collaboration with Databricks enables us to combine our deep technical expertise and industry insights with Databricks’ platform, delivering even greater value to our clients as they navigate the complexities of modern data architecture. It is an honor to strengthen our partnership with Databricks, a company at the forefront of data engineering and analytics innovation, and explore new ways to connect their platform with the innovative solutions built by Xenoss engineers.

The partnership with Adobe is proof of acknowledgment from industry leaders and the result of committing to high service excellence for over 10 years on the market. The close collaboration with the Adobe team allows Xenosss to connect Adobe robust toolset seamlessly with the innovative products Xenoss engineers are building.

Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.