What is Oracle Analytics Cloud?

Oracle Analytics Cloud is a scalable, secure service built on Oracle Cloud Infrastructure. It enables collaborative analytics for various organizational roles, supporting the full analytics workflow. The cloud service is designed for flexibility, offering service management capabilities such as fast setup, scaling, patching, and automated lifecycle management.

With support for a wide range of out-of-the-box data connections, as well as JDBC for additional sources, Oracle Analytics Cloud facilitates data unification. It enables data preparation, modeling, visualization, discovery, and collaboration. Data-level security and a full set of analytic capabilities are provided to cater to the needs of individuals, workgroups, and enterprises.

Oracle Analytics Cloud is available in Enterprise and Professional editions, with the Enterprise Edition offering more advanced features. As a managed service, it integrates with Oracle Cloud Infrastructure Object Storage and can be managed using REST APIs, SDKs, CLI, and developer tools, ensuring a high-performance platform for business-led and IT-managed analytics.

What is Oracle Analytics Cloud?

Oracle Analytics Cloud is a comprehensive cloud service designed for analytics. It delivers a full suite of capabilities for collaborative analytics, allowing exploration of data across organizations.

Scalability and Security

As a secure Oracle Cloud service, it meets the demands of businesses with scalable infrastructure that facilitates fast setup, easy scaling, and seamless patching.

Service Management

It offers flexible service management capabilities, supporting the complete analytics workflow, from data unification to insight generation.

Data Integration and Management

The service provides extensive data integration options, including a wide range of out-of-the-box data connections, JDBC support for legacy systems, and tools for creating, managing, and sharing these connections.

Data Analysis

Oracle Analytics Cloud enables access to all data types, supports data profiling and cleansing with advanced algorithms, and allows for data transformation and aggregation.

Machine Learning and Collaboration

Users can run machine learning models at scale, join tables through self-service, and collaborate and share data models and findings with colleagues.

Data Visualization

It facilitates data visualization on any device, making complex data more engaging and easier to understand for all users.

Customization and Support for Roles

The platform provides ways to extend and customize analytics, supports various roles within an organization, including IT and business users, and offers centralized reporting and self-service analytics.

Semantic Models and AI

Oracle Analytics Cloud's semantic models abstract physical data sources and query languages, incorporating built-in AI and machine learning with customizable algorithms and trackable data preparation.

Oracle Analytics Cloud vs Alibaba Quick BI

User Ratings and Reviews

Oracle Analytics Cloud has garnered 435 ratings, reflecting a broader user base, while Alibaba Quick BI has 118 ratings. Oracle Analytics Cloud has a 4.4 star rating, suggesting strong user satisfaction, but Alibaba Quick BI leads with a slightly higher 4.8 star rating.

Service Provider and Market Position

Alibaba Quick BI is a product of Alibaba Cloud, a key player in the Asian market. In contrast, Oracle Analytics Cloud is developed by Oracle, a well-established global entity in enterprise software solutions.

Oracle Analytics Cloud Features

Oracle Analytics Cloud offers a comprehensive suite of features including scalability, security, collaborative analytics, and flexible service management. It emphasizes quick setup, easy scaling, patching, and supports the entire analytics workflow. The service is designed to unify data sources and provides a range of out-of-the-box data connections as well as JDBC for legacy systems. Users can create, manage, and share connections, access and cleanse data with various algorithms, and run machine-learning models at scale. Oracle Analytics Cloud facilitates table joins, collaboration, and sharing of data models. It enables data visualization on any device and aims to make complex data understandable. The platform is extendable for applications to customize analytic experiences and caters to a wide range of roles within an organization, including IT, executives, and business users. Centralized reporting, self-service analytics, a semantic model that abstracts data sources and query languages, as well as built-in AI and customizable machine learning are among its core offerings.

Alibaba Quick BI Features

The specifics of Alibaba Quick BI's features are not detailed in the provided facts. Therefore, a direct comparison of features cannot be made. However, given its high user ratings, it can be inferred that Alibaba Quick BI is also equipped with features that satisfy its user base.

Final Assessment

While both Oracle Analytics Cloud and Alibaba Quick BI are rated positively, Oracle Analytics Cloud is distinguished by its extensive feature set catering to a diverse range of organizational roles and its emphasis on security, scalability, and comprehensive analytics capabilities. Alibaba Quick BI's position is less clear due to the lack of detailed feature information but is notable for its higher average user rating and its association with Alibaba Cloud.

Frequently Asked Questions

Which platform has a higher user rating, Oracle Analytics Cloud or Alibaba Quick BI?

Alibaba Quick BI has a higher user rating of 4.8 from 118 ratings, compared to Oracle Analytics Cloud, which has a rating of 4.4 from 435 ratings.

Does Oracle Analytics Cloud support machine learning capabilities?

Yes, Oracle Analytics Cloud offers built-in AI and machine learning, as well as customizable machine learning algorithms.

Can Oracle Analytics Cloud handle the entire analytics workflow?

Yes, Oracle Analytics Cloud supports the entire analytics workflow, including data access, profiling, cleansing, transformation, and running machine-learning models at scale.

Is it possible to unify data sources with Oracle Analytics Cloud?

Yes, Oracle Analytics Cloud allows for unifying data sources and provides a wide range of out-of-the-box data connections, as well as JDBC for other sources and legacy systems.

What are the capabilities of Oracle Analytics Cloud in terms of collaboration and sharing?

Oracle Analytics Cloud allows for creating, managing, and sharing connections, collaborating with other business users, and sharing data models with colleagues.

Why Choose Sourcetable as Your Data Analytics Tool

Seeking an alternative to Alibaba Quick BI and Oracle Analytics Cloud? Sourcetable offers a seamless integration of data analytics within a familiar spreadsheet interface. With a user-friendly platform, Sourcetable simplifies complex data queries, enabling real-time data manipulation without the need for specialized database knowledge.

While Alibaba Quick BI boasts a high user satisfaction rate with a 4.8 rating from 118 ratings, and Oracle Analytics Cloud holds a strong standing with a 4.4 rating from 435 ratings, Sourcetable emerges as a versatile contender. It caters to users looking for an agile and intuitive spreadsheet solution to handle diverse data sources.

Sourcetable's spreadsheet-centric approach to data analysis makes it an accessible alternative for users accustomed to traditional spreadsheet tools. It bridges the gap between complex databases and the spreadsheet environment, offering a streamlined experience for data-driven decision-making.