
Top Tableau Alternatives & Competitors based on 254 Reviews
Brand | Rating | Pricing |
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★ ★ ★ 3 | Tableau offers a tiered pricing model which includes three main products: Tableau Creator ($70 per user per month), Tableau Explorer ($35 per user per month), and Tableau Viewer ($12 per user per month). Pricing is aimed at businesses of all sizes with options for on-premise or cloud-based deployment. |
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★ ★ ★ ☆ 3.2 | |
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★ ★ ★ ☆ 3.4 | |
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★ ★ ★ ★ ☆ 4.3 | |
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★ ★ ☆ 2.5 | Hotjar provides a variety of pricing plans including a free basic plan with limited features. Paid plans start at $39 per month for the Plus plan, $99 for the Business plan, and customized pricing for the Scale plan, which accommodates larger teams and advanced needs. |
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Kissmetrics offers customized pricing plans based on the needs of the business, focusing on analytics solutions. They encourage users to contact them for a quote, indicating a flexible pricing structure tailored to specific requirements. | |
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★ ★ ★ ★ ☆ 4.5 | |
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★ ★ ★ ★ ☆ 4.3 | |
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★ ★ ★ ☆ 4 | Mixpanel pricing is based on the number of monthly tracked users and features required. They offer a free tier for small-scale usage, with paid plans starting at $25 per month for the Growth plan. Advanced options with more features are available at higher pricing tiers, requiring a custom quote. |
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Why should you be looking for a Tableau alternative?
Users may seek alternatives to Tableau for various reasons, including unmet feature requirements, user-friendliness, budget limitations, and support options. Solutions such as Amplitude, Google Analytics, Heap Analytics, Hotjar, Kissmetrics, Looker, Microsoft Power BI, and Mixpanel offer different strengths tailored to specific needs. This exploration will delve into key factors like unique features, pricing structures, and target user bases to help users identify the best fit for their data analytics requirements.
Quick Overview of Top Tableau Competitors
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Amplitude (Best Tableau Alternative for Product Analytics)
Offers robust product analytics tools focused on user behavior and engagement. Unique features include cohort analysis, user segmentation, and retention tracking, making it suitable for product teams seeking in-depth insights. -
Google Analytics (Cheapest Tableau Competitor)
A widely-used web analytics service that tracks and reports website traffic. Its strengths lie in easy integration with other Google services, real-time data processing, and customizable dashboards, making it an accessible alternative with a low cost. -
Heap Analytics (User-Friendly Tableau Alternative)
Automates event tracking without the need for extensive coding. Its main value proposition is its ability to capture every user interaction on a website or app, allowing teams to analyze user journeys easily. -
Hotjar (Best Tableau Competitor for UX Insights)
Focuses on user experience analytics by providing heatmaps, session recordings, and feedback polls. Its strength lies in visualizing user interactions, making it ideal for UX/UI teams looking for in-depth behavioral insights. -
Kissmetrics (Tableau Alternative for E-commerce Analytics)
Specializes in tracking customer behavior and funnel analysis. Its unique features include revenue tracking and cohort reports, making it a strong choice for businesses focused on optimizing the customer journey and increasing conversions. -
Looker (Advanced Tableau Competitor for Data Exploration)
Provides a powerful data exploration platform with customizable visualizations and real-time analytics. Its main strength is in its SQL-based data modeling, offering sophisticated data management options compared to Tableau. -
Microsoft Power BI (Budget-Friendly Tableau Alternative)
Offers a cost-effective solution for business intelligence with strong integration with Microsoft products. Its strengths include quick data visualization, accessibility for users across organizations, and natural language query capabilities. -
Mixpanel (Best Tableau Alternative for Event Tracking)
Stands out with event-driven analytics focused on user actions and product usage. Its unique features include advanced segmentation and predictive analytics, making it excellent for product teams looking to understand user interactions deeply.
Tableau Alternatives: Feature by Feature Comparison
Feature | Amplitude | Google Analytics | Heap Analytics | Hotjar | Kissmetrics | Looker | Microsoft Power BI | Mixpanel | Tableau Comparative Notes |
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Event Tracking | Advanced event tracking with clear funnels. | Basic event tracking with page analytics focus. | Automatic event tracking without prior setup. | Limited event tracking primarily for user feedback. | Focus on actions, campaigns, and revenue tracking. | Event-based tracking with customizable metrics. | Customizable event tracking supported. | Advanced event tracking with clear funnel analysis. | Event tracking in Tableau is robust but requires manual setup and coding to manage event definitions effectively. |
User Segmentation | Powerful user segmentation based on behaviors. | Audience segmentation primarily for marketing. | Automatic user segments created from data behavior. | Segments based on user feedback and participation. | Segmentation based on user actions over time. | Advanced segmentation capabilities across datasets. | Basic user segmentation available, less advanced. | Granular user segmentation based on behavior. | Tableau’s segmentation capabilities depend on prior data organization, which can be complex and time-consuming. |
Real-Time Analysis | Real-time analytics available for immediate insights. | Real-time basic analytics available but limited. | Immediate insights into user behavior in real-time. | Real-time feedback analysis from users. | Real-time data visualizations for user metrics. | Real-time reporting capabilities with SQL. | Real-time dashboard features provided. | Real-time data availability with instant updates. | Tableau provides real-time dashboards but may require setup for frequent data refreshes. |
Dashboard Customization | Highly customizable dashboards and reports. | Limited customization options for dashboards. | Customizable dashboards with pre-built templates. | Limited on dashboard features, more feedback focused. | Customizable dashboards but less visual flexibility. | Strong dashboard customization with data blending. | High dashboard customization with drag and drop. | Highly customizable dashboards focused on product metrics. | Tableau offers superior dashboarding capabilities, allowing far more flexibility in visual creation. |
Data Visualization | Advanced visualizations tailored to product metrics. | Standard visualizations with less focus on UX. | Strong visualizations with user behavior focus. | Basic visualizations, mainly for feedback responses. | Various visualizations, but focused on metrics analysis. | Advanced visualizations with integration flexibility. | Rich data visualizations with interactive features. | High-impact visualizations tailored for user interaction. | Tableau excels in visual storytelling and offers extensive visualization capabilities compared to its peers. |
Integration Capability | Extensive SDKs and integrations for various tools. | Integrates easily with Google services. | Wide integrations with automatic data capture. | Basic integrations focused on survey tools. | Extensive integrations for marketing tools and CRM. | Strong integrations with data warehouses and BI tools. | Deep integration with Microsoft products and beyond. | Multiple integrations, especially for web and mobile data. | Tableau can connect to a broad range of data sources but can sometimes require advanced configurations. |
User Behavior Analysis | In-depth analysis of user behavior over time. | Basic behavioral analysis with user flow visualizations. | Automatic analysis without manual input. | User behavior feedback focused, less analytical depth. | User behavior tracked alongside financial metrics. | Behavioral insights via SQL queries and builds. | User behavior analytics based primarily on dashboards. | Strong behavior analysis through conversion funnels. | Tableau provides analytical depth but often requires significant data engineering efforts to achieve similar insights. |
A/B Testing | A/B testing features built into user journey analysis. | A/B testing through Google Optimize. | No built-in A/B testing; requires integration. | No A/B testing included; focuses on feedback. | A/B testing supported with comprehensive metrics. | Limited A/B testing without explicit features. | Integration with third-party A/B testing. | Built-in A/B testing capabilities for product optimizations. | Tableau doesn’t directly support A/B testing, needing external tools to collect data before analysis. |
Data Aggregation | Powerful aggregation and manipulation of event data. | Basic aggregation features for web metrics. | Automatic aggregation of user data. | Simple feedback aggregation, less analytical depth. | Strong aggregation based on various metrics. | Robust aggregation features with data relation capabilities. | Advanced data aggregation within Microsoft ecosystem. | Advanced data aggregation with behavioral metrics focus. | Tableau specializes in data aggregation and manipulation, making it superior for complex data sets. |
Pricing Model | Flexible pricing plans based on usage and features. | Free tier available with limited features. | Free tier and custom pricing based on usage. | Freemium model with limited features for free. | Custom pricing based on user acquisition and scaling. | Flexible pricing based on user licenses and features. | Tiered pricing based on features and user access. | Competitive pricing depending on product usage. | Tableau’s pricing can be prohibitive for small teams but offers robust features for larger enterprises. |
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Integration Capabilities for each Tableau competitor
Alternative | Supported Integrations | Compatibility Notes |
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Tableau | Salesforce, Google Analytics, Microsoft Excel, Amazon Redshift, Slack, HubSpot, MySQL, PostgreSQL, Snowflake | Widely compatible with data sources, BI tools, and databases for analytics and visualization. |
Amplitude | Segment, Google Analytics, Mixpanel, Salesforce, Marketo, Slack, Zendesk | Primarily focuses on product and user analytics; strong in software integrations. |
Google Analytics | Google Ads, Google BigQuery, Salesforce, Shopify, Facebook Ads, YouTube | Best for web and marketing analytics; easy integration with all Google services. |
Heap Analytics | Segment, Salesforce, Slack, Intercom, Zendesk, HubSpot | Strong for automatic event tracking, especially on mobile and web platforms. |
Hotjar | Google Analytics, Zapier, HubSpot, Mailchimp | Focuses on user experience and behavior analytics; complementary to other analytics platforms. |
Kissmetrics | Salesforce, Zapier, Shopify, Mailchimp | Tailored for e-commerce; useful for marketers looking to track conversions. |
Looker | Google Cloud, Salesforce, Amazon Redshift, Snowflake, BigQuery | Strong in cloud data integrations; works well for enterprise analytics. |
Microsoft Power BI | Azure, Microsoft Excel, Google Analytics, Salesforce, Mailchimp | Excellent for enterprise-level reporting; integrates deeply with Microsoft products. |
Mixpanel | Slack, Segment, Stripe, Salesforce, Zapier | Designed for event tracking and user behavior; integrates well with mobile applications. |
Pros and Cons of each Tableau Alternative
Here’s a comparative table outlining the pros and cons of each alternative analytics tool compared to Tableau:
Alternative | Pros | Cons |
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Amplitude | – User-friendly interface for product analytics | – Limited functionality for non-technical users |
– Strong cohort analysis and retention tracking | – Primarily focused on product usage, less on marketing | |
– Real-time analytics capabilities | – May require more setup for advanced features | |
Google Analytics | – Free and widely accessible for small to medium businesses | – Data sampling issues with large datasets |
– Robust reporting features and integration with Google Ads | – Less flexibility in data visualization compared to Tableau | |
– Strong community and support resources | – Limited customization for reports | |
Heap Analytics | – Automatic data capture without pre-configuration | – Costs can add up quickly with larger teams |
– Easy setup for event tracking | – May have a learning curve for advanced features | |
– User-friendly interface | – Limited historical data management compared to Tableau | |
Hotjar | – Focus on user experience through heatmaps and recordings | – Limited to qualitative feedback metrics |
– Provides direct user feedback features | – Not primarily intended for extensive quantitative analysis | |
– Easy to integrate into websites | – Data may be less actionable for data-heavy analysis | |
Kissmetrics | – Strong focus on user behavior and journey tracking | – Cost can be prohibitive for smaller businesses |
– Powerful segmentation capabilities | – Less intuitive than other platforms for new users | |
– Good customer support | – Less robust in data visualization compared to Tableau | |
Looker | – Strong integration with SQL databases | – Steeper learning curve for non-technical users |
– Customizable reporting and dashboards | – Higher price point than some competitors | |
– Excellent data modeling capabilities | – Requires more technical skill for effective usage | |
Microsoft Power BI | – Strong integration with Microsoft products | – Initially less intuitive interface compared to Tableau |
– Free tier available | – Limited sharing options in the free version | |
– Advanced data modeling and DAX capabilities | – Performance may lag with very large datasets | |
Mixpanel | – Excellent for tracking user engagement over time | – More limited in visualizations compared to Tableau |
– Real-time data analysis | – Focused primarily on product analytics over broader business intelligence | |
– Strong segmentation and retention analytics | – Can be expensive as usage scales |
Each alternative has its unique strengths and weaknesses, making them suitable for specific use cases alongside or as alternatives to Tableau.
Tableau vs Competitors: Traffic & Marketing Comparison
Traffic Comparison: Tableau leads significantly in organic traffic, peaking at over 1.1 million monthly visitors, while other brands, like Google Analytics and Hotjar, see comparatively lower numbers, around 800,000 and 200,000 respectively. Amplitude and Heap Analytics follow with about 80,000 and 30,000 monthly visitors. Microsoft Power BI and Looker meanwhile have minimal or no recorded traffic, indicating a potential gap in visibility. This stark variance highlights Tableau’s dominance in attracting user interest within the analytics sector.
Top Performing Keywords: Tableau excels with numerous high-ranking keywords such as "data analytics," "business intelligence," and "data visualization," frequently ranking 1st, solidifying its niche authority. Amplitude also performs well, leveraging keywords around "customer data platform" and "user analytics." Conversely, Google Analytics’ traffic relies heavily on functional keywords like "google analytics ga4." Hotjar utilizes traffic derived from user behavior analysis. This variance suggests distinct strategies: Tableau and Amplitude favor a broad approach while Google Analytics focuses on specific functionalities.
Conclusions on Visibility and Reach: Tableau stands out for having the strongest online visibility, largely driven by its dominant traffic figures and a robust keyword presence. Amplitude also has a solid positioning in user analytics, while Google Analytics remains competitive in functionality-based searches. Conversely, Microsoft Power BI and Looker lag significantly, indicating areas of improvement in reaching potential users. Overall, Tableau’s strategic keyword utilization and substantial traffic reflect its authority in the analytics market, effectively enhancing its brand visibility.
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Other “Tableau” Alternatives & Competitors that you can find for free
Here are five alternatives and competitors to Tableau, along with their key features, strengths, and value propositions:
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Qlik Sense
- Key Features: Associative data indexing engine, self-service visualization, advanced analytics integration, and collaborative features.
- Strengths: Strong data integration capabilities and user-friendly interface that allows for intuitive exploration of data relationships.
- Value Proposition: Qlik Sense enables users to explore data in a seamless manner, providing powerful insights through its associative model, making it suitable for both business users and data analysts.
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Domo
- Key Features: Cloud-based dashboarding, real-time data access, extensive app ecosystem, and mobile accessibility.
- Strengths: Combines business intelligence and data visualization with robust data management and collaboration tools.
- Value Proposition: Domo offers a comprehensive platform for visualizing organizational data in real-time, promoting data-driven decision-making across departments.
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Sisense
- Key Features: In-chip analytics for faster data processing, an extensible architecture, and drag-and-drop interface for dashboard creation.
- Strengths: Focuses on providing robust data analytics solutions that can handle large datasets efficiently.
- Value Proposition: Sisense empowers organizations to transform complex data into actionable insights quickly, making it easier to leverage large amounts of data without extensive technical expertise.
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Zoho Analytics
- Key Features: AI-powered data analysis, extensive third-party integrations, and mobile access to dashboards.
- Strengths: Affordable and user-friendly, suitable for small to mid-sized businesses looking for a holistic analytics solution.
- Value Proposition: Zoho Analytics allows businesses to visualize and analyze their data with ease, leveraging AI to derive insights quickly and affordably.
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IBM Cognos Analytics
- Key Features: AI-assisted data preparation, automated data visualization, and robust reporting capabilities.
- Strengths: Strong enterprise-grade tool with a comprehensive suite for data governance and analytics.
- Value Proposition: IBM Cognos provides a scalable analytics solution designed for large organizations, combining advanced analytics capabilities with enterprise features for in-depth data exploration and utilization.
These alternatives present varied functionalities and cater to different user needs, offering robust solutions for data visualization and business intelligence.