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.
Tableau is a tool for data visualization and business intelligence that allows businesses to report insights through easy-to-use, customizable visualizations and dashboards. Tableau makes it exceedingly simple for its customers to organize, manage, visualize, and comprehend data. It enables users to dig deep into the data so that they can see patterns and gain meaningful insights.
Make data-driven decisions with confidence thanks to Tableau’s assistance in providing faster answers to queries, solving harder problems more easily, and offering new insights more frequently. Tableau integrates directly to hundreds of data sources, both in the cloud and on premises, making it simpler to begin research. People of various skill levels can quickly find actionable information using Tableau’s natural language queries, interactive dashboards, and drag-and-drop capabilities. By quickly creating strong calculations, adding trend lines to examine statistical summaries, or clustering data to identify relationships, users can ask more in-depth inquiries.
Tableau has many valuable key features:
Tableau stands out among its competitors for a number of reasons. Some of these include its fast data access, easy creation of visualizations, and its stability. PeerSpot users take note of the advantages of these features in their reviews:
Romil S., Deputy General Manager of IT at Nayara Energy, notes, "Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly.
Ariful M., Consulting Practice Partner of Data, Analytics & AI at FH, writes, “Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good.”
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