Find out what your peers are saying about Salesforce, Qlik, Splunk and others in Data Visualization.
kdb Insights brings the small but mighty kdb engine to data scientists and engineers with full support for Docker and Kubernetes and native integration with industry-standard programming languages. It’s the fastest time series analytics engine!
Fully cloud-enabled to operate on AWS, Azure, and GCP as well as on-prem private-cloud environments, kdb Insights allows you to harness the technology that powers Wall Street directly within your cloud services. It lets you modernize your cloud-native analytics stacks and develop transformative machine learning operations (MLOps) pipelines.
With kdb Insights Enterprise Edition – the fastest and most efficient time series analytics engine in the cloud – you can harness the technology that powers Wall Street. With its integrated data management and streaming analytics engine, kdb Insights Enterprise makes it easier for data scientists and analysts to create robust, production-ready data-driven applications. Using an easy-to-use interface, data scientists and business users can work alongside expert coders to design real-time pipelines and dashboards and deploy them into resilient, high-availability, and autoscaling infrastructures.
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.
