Best Data as a Service (DaaS) Software for Oracle Cloud Infrastructure

Compare the Top Data as a Service (DaaS) Software that integrates with Oracle Cloud Infrastructure as of October 2025

This a list of Data as a Service (DaaS) software that integrates with Oracle Cloud Infrastructure. Use the filters on the left to add additional filters for products that have integrations with Oracle Cloud Infrastructure. View the products that work with Oracle Cloud Infrastructure in the table below.

What is Data as a Service (DaaS) Software for Oracle Cloud Infrastructure?

Data as a Service (DaaS) software provides businesses with cloud-based access to structured and unstructured data, enabling them to utilize and analyze information without needing to maintain their own data infrastructure. It allows users to retrieve, integrate, and manipulate real-time data from multiple sources, often through APIs, for various applications like analytics, reporting, and decision-making. DaaS platforms ensure data accuracy, quality, and relevance by offering services like data cleansing and enrichment. This on-demand model makes data more accessible and scalable, reducing the cost and complexity of managing in-house data systems. Ultimately, DaaS empowers organizations to leverage data-driven insights efficiently and flexibly. Compare and read user reviews of the best Data as a Service (DaaS) software for Oracle Cloud Infrastructure currently available using the table below. This list is updated regularly.

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    Gravy Analytics

    Gravy Analytics

    Gravy Analytics

    Gravy Analytics processes billions of pseudonymous, mobile location signals every day from millions of mobile devices to understand where people go and why. Billions of daily location signals from mobile devices. The largest events database gives context to millions of places and POIs. Consumer visits built on 100% deterministic location data. Verified and cleansed location datasets via APIs or batch delivery options. Real-world consumer insights for foot traffic, attribution, and competitive analytics. Location-based audiences to drive data-driven advertising campaigns. We want to help companies meet their biggest business challenges head-on with quality location data. To do this, brands and advertisers need context to understand why consumers go where they do. The local events and activities we choose to engage in delivering that context, providing insight into our lifestyles, interests and affinities.
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