Oracle Analytics Cloud

Name: Oracle Analytics Cloud
Brand: Oracle Analytics Cloud
Rating: 3.5 (293 reviews)

From data to action: AI-powered self-service analytics for smart decisions across the entire team.

Oracle Analytics Cloud is a scalable, AI-powered platform for self-service data analysis, visualization, and enterprise reporting.

BenchTrust Score:70/100

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.

Overview

Oracle Analytics Cloud (OAC) is a leading, cloud-native platform from Oracle Corporation, which was founded in 1977 and is headquartered in Austin, Texas. With around 159,000 employees worldwide, Oracle offers a highly scalable and secure solution for modern data analysis. The platform is aimed at companies of all sizes and supports various user roles—from business analysts to IT specialists. OAC integrates advanced artificial intelligence (AI) and machine learning directly into the analysis workflow. This enables automated data preparation, intelligent data enrichment, and precise forecasting. Core features include self-service data visualization, interactive dashboards, pixel-perfect enterprise reporting, and Natural Language Processing (NLP) for intuitive queries. A particular advantage is the flexibility of deployment: companies can use the solution as a cloud-native service (Oracle Analytics Cloud) or on-premises (Oracle Analytics Server) without compromising on governance and security. Through deep integration with Oracle Cloud Infrastructure (OCI) and connectivity to various data sources such as Google Analytics, OAC provides a high-performance environment for data-driven decisions.

Core features

Self-service data visualization and dashboard creation for all user rolesCore

Integrated AI and machine learning to accelerate business decisions

Support for the entire analytics workflow from data preparation to sharing insights

Flexible data storage on a high-performance cloud platform

Data preparation and enrichment integrated directly into the workflow

Collaborative analytics capabilities for individuals, workgroups, and enterprises

Enterprise reporting with governed analytics, strong governance, and security

Advanced analytics with AI-powered assistance to automatically generate dataset descriptions

Extensive data connectivity and modeling, including optimized Google Analytics connection

Video analytics through OCI Vision integration to extract insights from video files

Automated email delivery of analytics workbooks on a schedule

Advanced filtering options and selection steps for workbooks

Natural Language Processing (NLP) for modern, AI-powered self-service analytics

Scalable and secure Oracle Cloud service for comprehensive data exploration

Flexible deployment as a cloud-native solution or on-premises (Oracle Analytics Server)

Compliance & security

No verified certifications (such as ISO 27001 or SOC 2) are currently listed for this provider. Information about compliance with standards such as GoBD or GDPR may still be available.

Ask the AI assistant on this page for current compliance and security details. It researches live information from publicly available sources.

Contact the provider

www.oracle.com/analytics

Supported languages

🤖 AI assistant for Oracle Analytics Cloud

Ask about pricing, features, integrations, or comparisons. Our AI assistant can help with up-to-date information.

💬 Customer feedback summary

80% mention this

Self-service visualization & dashboards

70% mention this

Integration with Oracle and external data sources

65% mention this

Performance & scalability of the cloud platform

60% mention this

Advanced analytics features (ML, augmented analytics, natural language)

Summary of customer feedback

Customer reviews of Oracle Analytics Cloud primarily emphasize the strong visualization and dashboard functionality, good integration into Oracle ecosystems, and the powerful, scalable cloud infrastructure. The advanced analytics features such as machine learning, augmented analytics, and natural language explanations are highlighted particularly positively, while usability and costs are frequently described as being more dependent on the use case or the complexity of the environment. Oracle Analytics Cloud is especially suitable for medium to large companies with extensive Oracle or hybrid data landscapes that require a centralized, powerful analytics platform with self-service capabilities and advanced analysis features.

AI-generated summary

📰 News & community feedback

🚀 Product updates & press releases

Oracle Analytics Cloud continuously expands its platform capabilities to optimize data-driven decision-making in global enterprises. Through the deep integration of artificial intelligence and machine learning, the platform enables advanced predictive analytics directly within the business workflow. In addition, strategic partnerships and expansion into sovereign cloud regions strengthen connectivity and compliance in regulatory demanding markets.

•Product Innovations: Direct integration of OCI Generative AI to automatically generate text summaries and data-driven insights.
•Expanded Partnerships: Deepened connectivity to platforms like Salesforce, Snowflake, and Microsoft Azure to enable agile multi-cloud scenarios.
•Global Compliance: Deployment in new sovereign cloud regions to guarantee compliance with local data protection regulations such as GDPR.
•Target Group Focus: Enhanced self-service tools for business analysts, enabling complex data preparation without programming knowledge.

Source: Publicly available product updates or press releases from Oracle Analytics Cloud.

📰 Social media feedback about the product

No social media mentions or feedback data for Oracle Analytics Cloud were provided. Since no specific data is available for analysis, a content-based evaluation regarding topics, praise, or criticism cannot be performed.

•No Data Basis: No Reddit or X/Twitter mentions were submitted for analysis.
•No Evaluation Possible: Without concrete usage reports, no conclusions can be drawn regarding features, issues, or target groups.

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.

Back to overview