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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 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 |
