GoodData and Oracle Analytics Cloud provide business intelligence solutions, competing in the BI category. Oracle Analytics Cloud holds the upper hand with its advanced features, while GoodData is preferred for its balance of pricing and support.
Features: GoodData focuses on agile analytics, embedded insights, and a platform-as-a-service model, excelling in ease of integration and customization. Oracle Analytics Cloud is notable for its comprehensive data preparation, extensive machine learning capabilities, and robust reporting tools. GoodData offers streamlined analytics tailored to specific integrations; Oracle Analytics Cloud delivers a broader feature set suited for complex data environments.
Ease of Deployment and Customer Service: GoodData's cloud-native, customizable platform simplifies deployment with a focus on embedding analytics into current workflows, providing timely support. Oracle Analytics Cloud supports robust deployment options and comprehensive customer service, though it may involve complex integrations due to its extensive functionalities. GoodData is agile in deployment, while Oracle Analytics Cloud supports larger, more complex implementation strategies.
Pricing and ROI: GoodData offers a cost-effective solution with transparent pricing models aimed at delivering measurable returns quickly through agile deployment. Oracle Analytics Cloud may require a higher setup cost but provides extensive tools that potentially yield higher ROI in complex data scenarios. GoodData attracts organizations seeking straightforward pricing and quicker ROI, while Oracle Analytics Cloud justifies costs with its enriched feature set and scalability over the long term.
| Product | Market Share (%) |
|---|---|
| Oracle Analytics Cloud | 3.3% |
| GoodData | 0.8% |
| Other | 95.9% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 7 |
| Large Enterprise | 11 |
GoodData provides cloud-based big data solutions to companies in any industry. GoodData's platform is a scalable, reliable and secure method of analyzing large data sets. It is specifically useful for companies seeking to gain insights into marketing, sales and customer service performance. GoodData's platform works with any data source and is able to load, store, analyze, visualize and share data sets. This business intelligence (BI) platform is able to access existing data from any source including SaaS, on premise, structured, and unstructured. It allows companies to monitor and manage multiple load processes from its data integration service console. GoodData's big data analysis uses Multidimensional Analytics Query Language (MAQL) and the Extensible Analytics Engine. The combination of these two features results in enhanced multi-level caching, increased performance and the option to include advanced metrics. The platform's data reporting and visualization features are user-friendly, customizable and are cross-platform compatible. GoodData improves collaboration among teams with advanced exporting and sharing capabilities via branded dashboards and offers 24/7 customer support. GoodData's platform has been implemented by many enterprises to improve and optimize services. Switchfly, a company that provides technology solutions aimed at increasing customer engagement, needed a big data platform that was able to efficiently analyze over 60 billion customer impressions made each year. After implementing GoodData's platform, Switchfly was able to provide their clients with relevant insights into customer behavior and accurately measure market impact. GoodData is just one of many SaaS business intelligence products reviewed in our SmartAdvisor; click the link to see more solutions.
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."
We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
