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Tableau: Service Overview and Insight

See the full list of Top Big Data Analytics Tools Read user reviews of Tableau Bottom Line: Big Data can cause big problems for administrators that don’t know how to connect to different types of data repositories. That’s a problem that Tableau helps to solve with its platform that makes it easy to connect to […]

Written By

SMK

Sean Michael Kerner

Apr 25, 2019

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See the full list of Top Big Data Analytics Tools

Read user reviews of Tableau

Bottom Line:
Service Description:
Features:
Delivery:
Use Cases:
Pricing:

Bottom Line:

Big Data can cause big problems for administrators that don’t know how to connect to different types of data repositories. That’s a problem that Tableau helps to solve with its platform that makes it easy to connect to diverse sources for data analytics.

While Tableau can be used by data scientists, it is not positioned as a tool for Big Data experts. Rather it’s a great choice for non-data scientists working across any sector. The VizQL data visualization technology at the core of Tableau is a key differentiator, enabling users to create data visualization without the need to first organize data, which can often be a time consuming and frustrating process.

Adding to the platform’s ease-of-use are drag and drop capabilities for dashboards, to help any type of user to see and analyze big data.

Service Description:

Tableau provides visual analytics and data drilling tools that can be used with Big Data Hadoop repositories. The platform is designed for multiple type of business intelligence activities, that are all grouped around data discovery and analytics.

The Tableau platform is accessible from multiple form factors, including desktop and mobile devices. It can also be embedded into applications.

Features:

Data access and connectivity. Tableau makes use of SQL (Structured Query Language) to interface with Big Data and connects to all the major Hadoop distributions with Cloudera via Impala; Hortonworks via Hive; and MapR via Apache Drill.

Hyper data engine. High-performance in-memory data engine technology that helps customers analyze large or complex data sets faster.

Hybrid data architecture. Can connect live to data sources or bring data (or a subset) in-memory.

VizQL. Interactive data visualization technology that does not require data to be structured first.

Intuitive dashboards. Dashboard can be setup using drag-and-drop.

Secure collaboration. Different users within an organization can share and collaborate on Big Data analytics insights.

Delivery:

On-premises and cloud Software-as-a-Service (SaaS) options.

Use Cases:

Users that are looking for easy-to-setup and customize dashboards for Big Data analytics.

Pricing:

Viewer license – $12 per user/month

Explorer – $35 per user/ month

Creators – $70 / user/month

Solution	Tableau
Use-Cases	Users that are looking for easy to setup and customize dashboards.
Key Differentiator	VizQL data visualization technology
Pricing	Viewer license – $12 per user/month Explorer – $35 per user/ month Creators – $70 / user/month

Solution	Tableau
Use-Cases	Users that are looking for easy to setup and customize dashboards.
Key Differentiator	VizQL data visualization technology
Pricing	Viewer license – $12 per user/month Explorer – $35 per user/ month Creators – $70 / user/month