Google Cloud Datalab and Oracle Analytics Cloud compete in data analysis and insights. Oracle Analytics Cloud has the upper hand due to its comprehensive features, despite Google Cloud Datalab's cost-effectiveness and strong customer support.
Features: Google Cloud Datalab offers interactive data exploration with BigQuery integration, Python libraries, and real-time collaboration. Oracle Analytics Cloud provides advanced analytics, machine learning, and a full suite of business intelligence tools, meeting complex enterprise needs.
Room for Improvement: Google Cloud Datalab could enhance its AI features, improve dashboard data limits, and streamline multi-node operations. Oracle Analytics Cloud could reduce initial setup complexity, simplify its interface for new users, and increase flexibility for customization.
Ease of Deployment and Customer Service: Google Cloud Datalab features seamless integration within Google's ecosystem for a straightforward setup. Oracle Analytics Cloud requires intricate deployment but offers robust customer service, aiding enterprises through its comprehensive suite.
Pricing and ROI: Google Cloud Datalab is cost-effective, offering higher ROI with scalable solutions tailored for specific tasks. Oracle Analytics Cloud demands a larger initial investment but delivers substantial long-term ROI through its extensive analytics capabilities.
Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.
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."
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