Teradata and Oracle Analytics Cloud compete in the field of enterprise data management and analytics. Oracle Analytics Cloud has the upper hand due to its comprehensive analytics capabilities, including machine learning, which enhances its offering beyond just data management.
Features: Teradata excels in handling large data volumes through parallel processing and multi-temperature data management, providing speed and efficiency with advanced query execution and workload management. Oracle Analytics Cloud is known for its data visualization, machine learning integrations, and ease of data manipulation, offering interactive dashboards and the ability to merge varied data types for comprehensive insights.
Room for Improvement: Teradata could improve in cost competitiveness and expand unstructured data capabilities. Scalability in cloud environments and more flexible pricing are needed. Oracle Analytics Cloud could address high costs and complexity, with desires for enhanced visualization options and better user interaction capabilities. Both need to improve cloud functionalities and simplify deployment.
Ease of Deployment and Customer Service: Teradata supports various deployment options like on-premises and hybrid environments, which users find advantageous. Its technical support is generally well-regarded. Oracle Analytics Cloud offers fast deployment in cloud settings but requires skilled personnel due to its complexity, posing a challenge for users seeking simpler solutions.
Pricing and ROI: Teradata is perceived as a high-cost solution delivering substantial returns in analytics capabilities, albeit more suited for larger enterprises. Oracle Analytics Cloud, despite its expense, offers a competitive pricing model appealing for a comprehensive analytics platform. It is considered cost-effective over the long term, though may not suit smaller companies seeking budget-friendly solutions.
Product | Market Share (%) |
---|---|
Oracle Analytics Cloud | 2.0% |
Teradata | 0.7% |
Other | 97.3% |
Company Size | Count |
---|---|
Small Business | 12 |
Midsize Enterprise | 7 |
Large Enterprise | 11 |
Company Size | Count |
---|---|
Small Business | 26 |
Midsize Enterprise | 12 |
Large Enterprise | 49 |
Oracle Analytics is a complete platform with ready-to-use services for a wide variety of workloads and data.
Oracle Analytics allows businesses to add AI and machine learning capabilities to any application—and as part of our integrated suite of cloud services to comply with data security and connected without disrupting business operations.
Offering valuable, actionable insights from all types of data—in the cloud, on-premises, or in a hybrid deployment—Oracle Analytics empowers business users, data engineers, and data scientists to access and process relevant data, evaluate predictions, and make quick, accurate decisions.
Oracle Analytics Cloud Features
Oracle Analytics Cloud has many valuable key features. Some of the most useful ones include:
Oracle Analytics Cloud Benefits
There are many benefits to implementing Oracle Analytics Cloud. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Analytics Cloud solution.
Fabricio Q., Data Analytics Manager, says, “The main functionality is great and everything is pretty standard and easy to use. It's great for consolidation and creating one source of truth. The initial setup is pretty straightforward.”
PeerSpot user, Eric B., Independent Consultant - Oracle BI Applications at Desjardins, mentions “It's really an enterprise solution. It has standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution.”
Gaurav S., Vice President Credit Risk Management at a financial services firm, explains, “From a financial or bank perspective, this product is secure enough. The dashboards, analytics, visualizations, and different reports are valuable for business analytics. The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code.”
Another reviewer, Trinh P., Delivery Manager at Sift Ag, comments, "The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."
Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.
Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.
What are the key features of Teradata?In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.
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