Oracle Analytics
Understand data, decide smarter: Oracle Analytics combines self-service, AI, and absolute security for your business.
Oracle Analytics is a comprehensive, AI-powered analytics platform for enterprises.
Independent B2B performance index (0–100 points). It is calculated mathematically and without subjective influence from four verified pillars: company stability, aggregated feedback from publicly available online sources, documented compliance certifications, and operational transparency.
Headquarters
2300 Oracle Way, 78741 Austin, United States
Employees
159000
Founded
1977
Overview
Oracle Analytics is a leading, AI-powered analytics platform from Oracle Corporation, which was founded in 1977 and is headquartered in Austin, Texas. With around 159,000 employees worldwide, the company provides a highly sophisticated platform that offers business users, data engineers, and data scientists a complete suite for data analysis. The solution integrates machine learning and artificial intelligence directly into the analysis process to generate automated insights. The platform supports self-service analytics, augmented analytics, and governed analytics in cloud, on-premises, and hybrid environments. Outstanding features include AI agent filters, AI token monitoring, as well as advanced map visualizations and automated error corrections during data modeling. Oracle Analytics meets the highest security and compliance standards, including ISO/IEC 27001, SOC 2, HIPAA, and GDPR, making it a secure choice for large global enterprises.
Core features
Compliance & security
Ask about pricing, features, integrations, or comparisons. Our AI assistant can help with up-to-date information.
Data visualization & dashboards
Self-service analytics & user-friendliness for business users
Performance & scalability with large volumes of data
Integration into Oracle ecosystem and data sources
Summary of customer feedback
Customers particularly highlight Oracle Analytics' extensive visualization and dashboard features, self-service capabilities for business departments, and good integration into the Oracle ecosystem. Performance aspects in very large and complex data landscapes, as well as the licensing and cost structure, which is perceived as complex and expensive, are viewed more critically. Oracle Analytics is particularly suitable for medium and large enterprises with an existing Oracle infrastructure that require scalable BI and analytics features with AI support and self-service for business users.
AI-generated summary
🚀 Product updates & press releases
Oracle Analytics is strengthening its market position through deep AI integrations and expanded multi-cloud partnerships, particularly with Microsoft Azure. The latest feature releases are aimed at global business users and data analysts to accelerate data-driven decisions through automated insights. In addition to technological innovations, the focus is on global expansion into new cloud regions and compliance with local regulatory guidelines.
- •Integration of generative AI for automated reporting and the provision of personalized data analysis.
- •Expansion of multi-cloud partnerships, in particular the deeper integration with Microsoft Azure.
- •Global expansion through deployment in additional cloud regions to meet local compliance requirements.
- •Optimization of self-service features for business users through intuitive no-code interfaces.
Source: Publicly available product updates or press releases from Oracle Analytics.
📰 Social media feedback about the product
No social media mentions or feedback data on Oracle Analytics were provided for analysis. Due to the lack of a database, no statements can be made about specific topics, praise, criticism, or open questions. A reliable trend analysis is not possible under these circumstances.
- •No database available: No text data from Reddit or X/Twitter was provided.
- •No content evaluation possible: Without concrete feedback, no statements can be made about features, target groups, or competitors.
Source: Publicly available social media posts (X/Twitter, LinkedIn, Reddit) from the last 12 months. The opinions shown come from users and do not represent BenchTrust's assessment.
See Oracle Analytics in action
Oracle Analytics Product Roadmap Webinar: January 2026