Oracle Analytics Cloud

Oracle is a global provider of enterprise cloud computing, offering software, platform, infrastructure and even data as a service. In 2018, Oracle acquired the machine learning platform – relaunched as OCI Data Science – which can be leveraged for ML-related use cases. The company currently employs more than 132,000 people worldwide.

The Oracle Analytics offering (OA) rests on three major pillars: Oracle Analytics Cloud (OAC), its flagship product for analytics and BI; Oracle Analytics Server (OAS) for on-premises and multi-cloud deployments; and Fusion Analytics for Oracle’s ERP, HCM, Customer Experience and Supply Chain.

Oracle Analytics Cloud incorporates business-user-oriented capabilities for the complete analytics cycle. It offers modules for developing and deploying formatted reports, interactive dashboards and no-code mobile analytical applications. Data preparation (Data Flows) is also provided as well as visual analysis in a comprehensive and integrated analytics platform. Furthermore, integration with Oracle Autonomous Data Warehouse (ADW) is constantly evolving to benefit from central and governed data models. Oracle Analytics Server, the on-premises version of OAC, brings the capabilities of the cloud platform to organizations requiring on-premises deployment options.

With Explain, users can leverage automated insights generation powered by ML and NLG. Relevant drivers, patterns and clusters are identified and visualized with little to no effort. Beyond that, forecasts leveraging weighting algorithms can be created based on the drivers identified with one click too. Natural language queries (‘Ask’) can be used to analyze data without deep technical know-how or to search in all data sets cataloged in any of the 28 languages supported.

Complementing the portfolio, machine learning algorithms are embedded out of the box with Oracle Analytics Cloud. R and Python scripts can be embedded in OAC for advanced analytics applications. Additionally, ML algorithms embedded in Oracle databases can be leveraged without shifting data.

User & Use Cases

Oracle Analytics is an enterprise BI and analytics platform clearly designed to serve a range of usage scenarios. Customers therefore use it quite broadly: 81 percent for dashboards, 78 percent for reporting, 78 percent for ad hoc query and 66 percent for analysis.

This wide scope is especially useful for customers with a large user base and different user types requiring access to information. Therefore, it is not surprising that more than half (53 percent) of the Oracle Analytics customers responding to this year’s survey come from companies with more than 2,500 employees. Almost one third (28 percent) are from mid-sized companies (100 to 2,500 employees).

The sophistication of Oracle Analytics’ usage scenarios is shown by a median of 163 users and a mean of 1254 users. Customers use the suite with a median of 2679 GB of data.

The products most commonly evaluated in competition with Oracle Analytics clearly underline a strong focus on business user orientation. Oracle Analytics Cloud is equipped with several business-user-friendly modules for analysis and data preparation.

Current vs. planned use


5 products most often evaluated in competition with Oracle Analytics Cloud


Percentage of employees using Oracle Analytics Cloud


Number of users using Oracle Analytics Cloud


Tasks carried out with Oracle Analytics Cloud by business users


Company size (number of employees)


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Oracle Analytics Cloud

Peer Groups Business Software Generalists (BI), International BI Giants, Large/Enterprise-Wide Implementations: (BI), Largest Enterprise BI & Analytics Platforms
VendorOracle Corporation
Number of responses32
ProductOracle Analytics Cloud (cloud), Oracle Analytics Server (on-premises)
CustomersHundreds of thousands (all products), no exact number published