“The global business intelligence market will grow to $33 billion by 2025! – Tech Jury”
Every organization strives to democratize data with best-in-class business intelligence tools. But picking the right fit tool with the perfect mix of ease of use, affordability, scalability, self-service, embedded analytics & ML, customization, device compatibility, and so on is a daunting task.
Power VS Tableau is a never-ending tug of war among the decision-makers!
In this blog post, let’s discuss the significant differences between Power BI & Tableau!
The scope of business intelligence has outgrown the data scientists to interns who just joined part time. It is spread across C or V level executives, sales, marketing, service, operations, IT, and other organizational units. So, it’s important to decide which is the right tool for you upfront than spending time and money on adoption!
Here’s the decisive comparison of Power BI VS Tableau in the aspects of which suits best for your use case!
If you’re a c-level executive, sales head, marketing, or operations manager, hope these facts would help you decide on whether Tableau or Power BI suits best for your use case.
However, if you want to still dig deeper into the differences between Tableau & Power BI, let’s jump on to the technical aspects!
Power BI has easy drag-and-drop data features and pre-built dashboards that make the kickstart of a data-driven culture hassle-free. It renders around 3500 data points for drilling down to granular details across the data model. When it comes to real-time streaming and ad-hoc visualizations, Power BI has a leg up in the BI space with native connectors for SaaS products.
Tableau is built for data scientists with advanced visualization experience based on the patented VizQL engine. This tool can sense data from live and in-memory data sources catering to diverse devices. Enterprises looking for bulk data processing & advanced customizations in data visualizations can opt for Tableau.
Power BI is specific to Azure cloud platform and the product suite encompasses desktop, mobile, pro, premium, embedded & report servers. Depending on your organizational model, you can pick the right licensing to achieve analytics maturity. Power BI has limitless on-demand scalability in horizontal and vertical scaling options.
Tableau has its wings spread across both on-premises and cloud landscapes. The tool offers a myriad of deployment options in the on-prem, cloud (AWS, Azure, GCP, Tableau) & platforms (Windows, Linux, Mac) with diverse data sources.
Tableau has a messy licensing model that includes creator, explorer, and viewer models. Depending on the use cases, IT teams must plan and purchase licenses for the individual users. In the aspects of on-demand scalability, Tableau has definitive sizes and offers only vertical scaling options.
Power BI has inbuilt toolsets as well as native connectors for data engineering, modeling, and end-to-end analytics. The tool support Data Analysis Expressions (DAX), M language for data manipulation & modeling, Azure data factory, Azure cognitive services, Azure machine learning, and R language integrity using Microsoft Revolution Analytics for enterprise users. If required, Power BI users can connect on-prem data sources by leveraging Power BI data gateway.
Tableau relies on external toolsets and programming languages for data transformation, machine learning, and other operations. Tableau creators must have expertise in multi-dimensional expressions (MDX), R language, Python programming & machine learning, and Salesforce Einstein Analytics to outperform competitors. Data visualization reports can be implemented using C, C++, Java & Python in Tableau.
Both Tableau and Power BI support a diverse range of data sources with native connectors. Here’s the list of compatible data sources.
Winner: Power BI for inbuilt tools and native connectors for third-party SaaS products
Power BI is undoubtedly the winner in self-service capabilities with advanced functionalities and intuitiveness. Power BI has paramount features such as easy drag and drop, intuitiveness, pre-built templates, report-sharing features, and much more in its bag to support the data-driven culture in an organization. Any individual having a grip over excel can easily create intuitive, visually appealing dashboards, and share them with their teams by leveraging Power BI.
Tableau has basic self-service capabilities compared to Power BI and requires intensive user adoption training. With lots of limitations in licensing model and a steep learning curve, Tableau has a lot more gaps in achieving data democratization. However, Tableau users believe that in the upcoming upgrades, the team- would make it easier for data visualizations.
Power BI releases monthly feature updates to its services. Some of the recent additions are AI-infused experiences, natural query processing, anomaly detection, smart narratives (NLG), Q & A feature, composite models, mobile formatting, cross-tenant data sharing, and much more. Another recent enticing feature update of Power BI is the inbuilt visual for Power Automate & Power Apps.
Tableau releases feature upgrades annually and are currently focusing on features that swirl around Salesforce products such as ask data in slack, Einstein discovery in slack, model builder, and so on.
Power BI is budget-friendly and is the go-to choice for start-ups and mid-sized organizations for its affordability. Power BI pro version costs around $10/month/user which is around $100 when billed annually. With dedicated cloud compute and storage resources, Power BI premium is billed $4995/month.
Microsoft Power BI offers free of cost licenses for various user groups. Here’s the detailed list of Power BI pricing.
Power BI Premium$20/month/user | @240/year/user
Power BI has plethora of out-of-the-box Microsoft identity features for advanced data security implementations. From implementing single-sign-on to row-level & object-level security, it has all-encompassing features to attain analytics maturity and data democratization across the organization.
Tableau connects with the active directory and the security level of Tableau reader is near zero as anyone who views the workspace can get access to it.
Ranging from picking the right tool to user adoption, you need an expert business intelligence partner to make your analytics efforts win!
Both Power BI & Tableau offers trial versions to kick-start your business intelligence journey. The best one for your organization is defined by use case, organizational model, analytic needs, existing human capital, data sources, cloud investments, and much more factors.
We help you in finding the appropriate business intelligence tool for your organization with your first POC dashboard in 48 hours!
Wondering how we can deliver your POC dashboard in 48 hours? Here’s our business intelligence journey & intellectual assets along the way!
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