Our Partners

Technology Partners

Icloudsys, Cloud & Big Data as a Service installs best-of-breed advancements, including cloud framework, databases, expository motors and many other open-source and custom parts. Our esteem is increasing, computerizing and "completely dealing with" these unpredictable advancements, making them straightforward, secure and upgraded for the cloud.

Microsoft Azure Circle Partner, with demonstrated experience in helping customers transition to the Windows Azure Platform. We offer consulting and solutions services in areas such as Cloud Strategy and Roadmap, Application Migration to Windows Azure, Cloud Architecture Diagrams, Cloud Proof of Concepts (PoC), Security Assessment, Disaster Recovery planning and much more.

Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud

Data and analytics implementations are at the heart of what we do, so teaming up with an analytics platform leader like Databricks is a natural fit for Icloudsys and for our customers.

Databricks provides a Unified Data Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production.

By migrating to Google Cloud, ICloudsys has improved the performance and reliability of its infrastructure, automating operations while empowering its development teams to focus on data-driven solutions.