What is Oracle Analytics Cloud?

Oracle Analytics Cloud is a comprehensive cloud service designed for analytics. It provides a secure, scalable environment that supports the full analytics workflow for individuals, workgroups, and enterprises. The service facilitates collaborative analytics, data preparation, modeling, visualization, and discovery, catering to a variety of organizational roles.

Key Features

It offers out-of-the-box data connections and JDBC for diverse data sources, alongside capabilities for data cleansing, transformation, and aggregation. Advanced features like running machine-learning models and creating semantic models are included to ensure data consistency and support data-driven decision-making.

Editions and Management

Available in Enterprise and Professional editions, Oracle Analytics Cloud provides flexible management options, including REST APIs, SDKs, and CLI. It integrates with Oracle Cloud Infrastructure, leveraging its high-performance platform and comprehensive identity and service management features.

Security and Compliance

The platform ensures data-level security and governance, providing a trusted environment for analytics. While it supports a wide range of analytics capabilities across all organizational roles, it is not recommended for production use when utilizing preview features.

What is Oracle Analytics Cloud?

Oracle Analytics Cloud is a comprehensive, scalable, and secure service provided by Oracle Cloud. It offers a full spectrum of analytics capabilities for collaborative exploration and reporting. This service facilitates rapid setup, easy scaling, and efficient patching.

Service Management and Data Integration

The platform provides flexible service management capabilities, including the ability to unify various data sources. It supports a wide range of out-of-the-box data connections, as well as JDBC for integration with other sources and legacy systems. Users can create, manage, and share these connections seamlessly.

Data Processing and Analysis

Oracle Analytics Cloud supports the entire analytics workflow, from accessing and preparing all types of data to running machine learning models at scale. It offers features for data profiling, cleansing, transforming, and aggregating, as well as the ability to join tables through a self-service interface.

Collaboration and Visualization

The platform enables collaboration among business users and facilitates sharing of data models. It provides tools for visualizing and exploring data on any device, making complex ideas more engaging and understandable.

Extensibility and Support

Oracle Analytics Cloud allows applications to extend, customize, and embed analytic experiences. It caters to various roles within an organization, including IT professionals, executives, data engineers, citizen data scientists, business analysts, and business users.

Governance and Self-Service Analytics

It offers centralized, governed reporting alongside business-led self-service analytics. The platform's semantic model abstracts physical data sources and query languages, simplifying the analytics process.

Artificial Intelligence and Machine Learning

Built-in AI and machine learning capabilities are core features, with customizable algorithms and trackable data preparation processes. This enhances predictive analytics and the generation of actionable insights.

Oracle Analytics Cloud vs DataWalk

Vendor Ratings

DataWalk is the higher-rated vendor in the comparison, with a perfect 5 rating from 7 ratings. In contrast, Oracle Analytics Cloud has received a 4.3 rating based on 880 ratings.

Features and Capabilities

Oracle Analytics Cloud offers a comprehensive set of features for analytics, including support for the entire analytics workflow, flexible service management, and fast setup. It allows for easy scaling, patching, and unifying of various data sources through out-of-the-box data connections and JDBC for legacy systems.

Oracle Analytics Cloud emphasizes collaboration, offering tools for managing and sharing connections, profiling and cleansing data, and visualizing results on any device. It supports roles across an organization, from IT to business users, with centralized governance and self-service analytics. Additionally, it provides a semantic model to abstract data sources and query languages, along with built-in AI and customizable machine learning algorithms.

DataWalk's specific features are not detailed in the provided facts, but its higher rating suggests a strong user satisfaction. However, it is important to consider the scale of feedback, as DataWalk's rating is based on 7 ratings compared to Oracle's 880 ratings.

Service Management

Oracle Analytics Cloud is designed for scalability and security as a cloud service, offering fast setup and easy scaling. The platform allows for patching, and it is positioned to support various analytics tasks, from data access to machine learning, for a diverse range of users in an organization.

While the exact service management capabilities of DataWalk are not listed, the vendor's high rating indicates that users may find its service management satisfactory.

Collaboration and Usability

Oracle Analytics Cloud facilitates collaboration among business users, allowing them to share data models and insights. The service is geared toward making data easily understandable and supports visualization on any device, which is crucial for engaging diverse teams.

DataWalk's collaboration and usability features are not specified, but the perfect rating could imply a positive user experience in these areas.

Artificial Intelligence and Machine Learning

Oracle Analytics Cloud provides built-in AI and machine learning capabilities with customizable algorithms, supporting data engineers and citizen data scientists in running models at scale. It also offers trackable data preparation, which is essential for maintaining data quality and integrity.

The AI and machine learning capabilities of DataWalk are not compared here due to a lack of detailed information on its features in this context.

Frequently Asked Questions

Which vendor is higher rated in the Oracle Analytics Cloud vs DataWalk comparison?

DataWalk is the higher rated vendor in this comparison.

What is the rating of Oracle Analytics Cloud?

Oracle has a 4.3 rating.

How many ratings does Oracle Analytics Cloud have?

Oracle has 880 ratings.

What is the rating of DataWalk?

DataWalk has a 5 rating.

How many ratings does DataWalk have?

DataWalk has 7 ratings.

Why Choose Sourcetable Over Oracle Analytics Cloud and DataWalk

Sourcetable streamlines data analytics by offering seamless connectivity to various data sources, allowing users to blend, transform, and enrich data effortlessly. This integration flexibility positions Sourcetable as a superior alternative for those seeking efficient data manipulation.

Unlike Oracle Analytics Cloud, which can create bottlenecks for IT departments, Sourcetable empowers users with self-service analytics capabilities. The platform's intuitive design facilitates quick data preparation, visualization, and reporting, leading to accelerated insights and decision-making.

Sourcetable's real-time data querying through a familiar spreadsheet-like interface offers a unique advantage for professionals accustomed to traditional spreadsheet tools. This approach simplifies the transition to advanced analytics, making it an attractive solution for organizations prioritizing ease of use and rapid adoption.