Tableau Vs Power BI Cost
Without a question, the top two business intelligence and data analytics platforms now in use are Tableau and Power BI. The two are frequently contrasted, much like Federer and Nadal. Tableau stands out for its unique VizQL engine, which enables the no-code drag-and-drop interface, according to Gartner’s Magic Quadrant for Analytics and Business Intelligence Platforms 2022, while Power BI is well-liked for its features at an affordable price.
The video on your RHS is just a lighthearted justification for Power BI winning out over Tableau as far as price is concerned
The details shown below were directly derived from the Magic Quadrant study for 2022.
Salesforce (Tableau)
The Salesforce (Tableau) is a Leader in this Magic Quadrant. It offers a visual-based exploration that enables business users to access, prepare, analyze and present findings in their data. Tableau CRM, formerly Einstein Analytics, provides augmented analytics capabilities for analysts and citizen data scientists.
In 2021, Tableau unveiled new Slack integrations and improved its NLQ experience, Ask Data, which is now included with all license types along with Explain Data. Ask Data can be added to a dashboard as an integrated object, and new Lenses allow analysts to curate existing datasets. Tableau improved enterprise capabilities by adding centralized row-level security and virtual data connections that enable users to extract and manage data tables.
Strengths
Business user-centric: Tableau provides an intuitive experience for business users to visually explore their data. The patented VizQL engine powers the no-code drag-and-drop interface. The acquisition of Narrative Science, the data storytelling vendor, will improve Tableau’s NLG and data storytelling capabilities in the future.
Analytics economy: Users demonstrate a fanlike attitude toward Tableau. The analytics ecosystem Tableau has built, the Tableau Economy, brings an expansive community of customers, partners and people with analytics skills. One hundred new accelerators were rolled out in the Tableau Exchange, and a “Hire Me” function was added to Tableau Public to help hire talent with Tableau skills.
Salesforce ecosystem opportunity: A new revenue category, “Data,” will incorporate MuleSoft, Tableau, and Tableau CRM, all of which were previously included in “Platform and Other,” demonstrating Salesforce’s dedicated investment to data and analytics business as part of its ecosystem.
Cautions
Premium pricing: Compared with cloud vendors in this market, Tableau’s license cost is expensive, an issue raised by clients durings inquiries with Gartner. Tableau Prep Builder is bundled with the Creator license. Additional fees are required for Data Management, Server Management and Einstein Discovery; however, a new enterprise subscription plan bundles Data Management and Server Management to help customers scale.
Service and support: Gartner Peer Insights reviewers report Tableau slightly below the average when it comes to overall service and support, particularly related to the timeliness of the vendor’s response. Some Tableau customers are unclear about the process for finding the Tableau-specific support they expect. Additionally, although the support organization is not impacted, Tableau no longer has operations directly located in Mainland China, leaving regional customers concerned.
Evolving Einstein Discovery experience: The process for building and deploying Einstein Discovery’s no-code machine learning models is disconnected from the Tableau user experience. Users are redirected to Tableau CRM Studio in Salesforce, where they must reconnect to their desired dataset to train a model and then manually map the fields used when training back to the fields used in Tableau. Plans to address this user experience are on Tableau’s 2022 roadmap.
Microsoft
Microsoft is a Leader in this Magic Quadrant. It has massive market reach and momentum through Office 365 and a comprehensive, visionary product roadmap. Microsoft Power BI offers data preparation, visual-based data discovery, interactive dashboards and augmented analytics.
The new “goals” capability enables data-driven and collaborative tracking of key business metric scorecards. Power BI is primarily deployed as a SaaS option running in Azure, but offers a less-functional on-premises option in Power BI Report Server. Microsoft continues to align Power BI closely with Office 365, Microsoft Teams, Excel and SharePoint. In 2022, Microsoft’s vision is to make Power BI the hub for data and analytics in an organization.
Strengths
Alignment with Office 365, Teams and Azure Synapse: The inclusion of Power BI in the Office 365 E5 SKU has provided an enormous channel for the platform’s spread. As many customers turn to Teams for remote work collaboration, the ability to access Power BI and now “goals” within the same Teams interface is a compelling integration for business users. Power BI and Azure Synapse alignment addresses multiple data and analytics personas and use cases.
Price/value combination: Power BI does not sacrifice quality in order to achieve its disruptively low pricing model. The Power BI cloud service is rich in its capabilities, which include an enlarged set of augmented analytics and automated ML (autoML) capabilities.
Power portfolio and product ambition: Microsoft has a clear vision for cross-utilization of Power BI, Power Apps and Power Automate to drive business value. Power Apps can be embedded in Power BI dashboards or access Power BI datasets, and Power Automate flows can be constructed to take various actions based on the data. AI-powered services, such as text, sentiment and image analytics, are available within Power BI Premium.
Cautions
Gaps in on-premises capabilities: Compared with the Power BI cloud service, Microsoft’s on-premises offering lacks significant functional capabilities, including dashboards, streaming analytics, prebuilt content, natural language question and answer, automated insights, and alerting.
Azure as the only deployment option: Microsoft does not give customers the flexibility to choose a cloud IaaS offering. While data connectivity enables multicloud and hybrid cloud scenarios, its Power BI service runs only in Azure. However, customers that utilize Azure can take advantage of the global reach and multigeography capabilities offered by Microsoft’s cloud platform.
Content publication process and governance: Creating a process for promotion and publication of Power BI content can lead to a significant administrative overhead for customers. With a one-to-one relationship between published Power BI apps and Workspaces, organizations may be manually managing many hundreds of Workspaces — an issue Microsoft plans to address in its roadmap. How to govern self-service usage is one of the most common questions asked about Power BI by users of Gartner’s inquiry service.
