Action-based dashboards
Yellowfin says it combines action-based dashboards with automated analysis and data storytelling. The homepage also describes real-time, interactive dashboards for companies that want to act with confidence on live data.
Yellowfin
#11 in Business IntelligenceBI platform for dashboards, reporting, and collaborative analytics.
#11Business IntelligenceMid-market
Overview
Yellowfin is a BI platform built for dashboards, reporting, and collaborative analytics, with a strong emphasis on embedded analytics, action-based dashboards, automated analysis, and data storytelling. It is positioned for teams that want a white-labeled analytics experience, predictable pricing, and AI-assisted exploration for both enterprise BI and software-vendor use cases.
- Combines dashboards, automated analysis, and data storytelling in one platform.
- Supports embedded analytics with a fully white-labeled experience for end users.
- Offers flexible pricing models for software vendors and enterprise BI buyers.
- Includes AI-assisted querying, chart explanations, and storytelling enhancements.
- Used across both enterprise analytics and embedded analytics scenarios.
AI visibility
1/49 eligible runsWhere the score comes from: per-assistant visibility, the weekly trend, and the domains cited in tracked buyer answers.
Score by assistant
All assistants1.7
Claude0.0
Gemini0.0
ChatGPT0.0
Perplexity8.5
Google AI Mode0.0
Weekly trend
Jul 20Jul 20
Sources cited in AI answers
Features
Capabilities are grouped by the work they help a team complete, so you can scan the product without decoding a flat feature list.
Dashboards, reporting, and storytelling
Yellowfin presents itself as an analytics platform designed to help business users act on live data, not just view static reports. Its homepage describes the product as combining action-based dashboards, automated analysis, and data storytelling, while release notes add newer report, chart, and storytelling improvements. The result is a platform that supports both recurring operational review and more guided narrative exploration. This makes it relevant for organizations that want dashboards, reporting, and presentation-ready analytics in the same environment.
Data storytelling
The platform highlights data storytelling as a core part of the experience, and the releases page says Yellowfin Stories can incorporate AI-generated summaries and charts. That combination is aimed at turning numbers into contextual narratives that are easier to share with business stakeholders.
Reporting enhancements
Release notes mention improved report builder functionality, drag-and-drop column reordering, calculated totals in most chart types, and new report info pop-ups. These updates suggest Yellowfin is actively supporting report-building workflows alongside dashboard consumption.
Embedded and OEM analytics
Yellowfin clearly positions embedded analytics as a major part of its value proposition. Its pricing page says the platform is ideal for OEMs and ISVs looking to white-label analytics into their product, and the homepage says embedded analytics can feel like a native part of the product. The company also emphasizes flexibility in deployment, pricing alignment, and options for extending, hosting, and database selection. This makes the platform especially relevant for software vendors that need analytics to blend into their own application experience.
White-labeled embedded analytics
Yellowfin says it provides a fully white-labeled experience for end users and describes embedded analytics that feel like a native part of your product. That framing is consistent across the homepage and pricing materials.
OEM and ISV pricing alignment
The pricing page says Yellowfin's flexible pricing model is designed for OEMs and ISVs and is aligned to how vendors sell their own products. It also emphasizes predictability and scalability without hidden costs or surprises.
Deployment flexibility
Yellowfin describes choices for self-managed or fully managed service, on-premise or cloud deployment, and in-memory analytical database options. Those choices are presented as part of the platform's embedded and enterprise packaging, giving buyers more control over operating model and architecture.
AI-assisted analytics
Yellowfin has added a growing set of AI-assisted capabilities around natural language querying, automated explanations, and storytelling. The homepage advertises Ask Yellowfin and Code Assistant, while the release notes detail conversational AI NLQ, Tell Me About My Data, and model support across providers such as Claude, Gemini, Azure, and OpenAI. The product appears to be moving toward a conversational analytics workflow where users can ask questions, refine follow-ups, and generate charts without needing SQL. That should appeal to teams trying to broaden self-service analytics beyond expert users.
Conversational natural language query
Yellowfin says users can ask questions in plain language and get charts and graphs without SQL. Release notes add that the platform remembers what you asked and supports a dialogue-like experience so follow-up questions build on prior context.
Explainable insights
The Tell Me About My Data feature generates plain-English summaries, AI-written insights, and suggested charts. Yellowfin presents it as a way to explain what is happening in a report or chart without requiring the user to interpret everything manually.
Flexible AI model support
Release notes say Yellowfin can connect to providers like Claude, Gemini, Azure, and OpenAI, with visibility into token usage and an option to bring your own AI key. That flexibility suggests buyers can adapt the AI layer to their workflow and budget.
Who it is for
A practical fit map: the teams, organization sizes, and industries the available evidence points to.
Teams and use cases
- Independent software vendors
- OEMs
- Enterprise analytics teams
- Business users who need self-service exploration
- Data teams supporting embedded analytics products
Company profile
- Small to medium sized deployments
- Large-scale deployments
- Organizations with 25+ users
- Companies with 100+ users
- Companies with 500+ users
- Mid-market
Industries
- Software and technology
- Healthcare software
- Enterprise services
- Organizations needing embedded analytics
Look elsewhere if
- Buyers looking for a narrowly scoped dashboard-only tool may find the platform broader than they need.
- The review snippet notes that it can feel limiting for advanced analytics and power users, and performance may slow with large or complex datasets.
Buyer personas
Who evaluates the product, what each person is responsible for, and the events that typically start a buying cycle.
Embedded analytics buyer
Product leader or platform owner at a software vendor
Buying triggers
- Adding analytics to a SaaS product
- Replacing a brittle homegrown reporting layer
- Needing a white-labeled analytics experience
- Trying to align analytics costs to product pricing
BI program owner
Analytics manager or BI leader in an enterprise organization
Buying triggers
- Rolling out self-service analytics to more users
- Modernizing dashboards and reporting
- Standardizing on a BI platform with flexible licensing
- Looking for AI-assisted exploration and storytelling
Developer or solutions engineer
Technical implementer responsible for integrations and deployment
Buying triggers
- Building analytical applications
- Needing REST API support
- Choosing between self-managed and fully managed deployment
- Evaluating database and hosting flexibility
Behind the product
Verified company context behind the product, kept separate from product capabilities and pricing.
Yellowfin describes itself as an enterprise and embedded analytics platform that combines action-based dashboards, automated analysis, and data storytelling. Across its marketing pages, it emphasizes real-time analytics, white-label embedding, and pricing structures designed to scale from vendor-led deployments to enterprise BI programs.
The homepage says Yellowfin delivers real-time, interactive dashboards and data stories.
The site says the platform is used for both enterprise analytics and embedded analytics use cases.
The company highlights customers such as Coca-Cola, Xerox, ANZ, NTT Docomo, NHS, BMC, Vodafone, and Honda on its homepage.
The homepage states that Yellowfin is trusted by 1M+ users.
Data notes
- The supplied materials do not provide a complete public product list or a comprehensive technical architecture overview.
- Some official pages in the supplied set are primarily marketing and pricing pages rather than detailed implementation documentation.
Alternatives
Yellowfin competes in a crowded BI market where Microsoft Power BI, Tableau, Looker, Domo, and Qlik are frequent comparison points in its own pricing comparison content. Yellowfin's positioning leans toward flexible embedded analytics, white-label deployment, and pricing predictability, which it contrasts with more rigid per-user or capacity-based models from large BI suites. The product also explicitly publishes comparison content against major BI alternatives, signaling that it is sold as a competitive option for both enterprise BI and embedded analytics.
Comparison candidates
These candidates come from measured co-mentions or source-backed alternatives. A full comparison is published only after both products have supporting evidence.
Leaderboard
Business IntelligenceEvery product ranked in this category, scored by visibility in buyer-focused AI answers.
User sentiment
Yellowfin’s review footprint in the supplied documents points to a BI platform that is evaluated mainly as a dashboards-and-storytelling tool rather than a deeply specialized analytics engine. The strongest verified signal comes from G2, which reports a 4.4-star score from 422 verified reviews. In the review language that was fetched, Yellowfin is described as combining action-based dashboards with automated analysis and data storytelling, a blend that should resonate with teams that want to turn data into shared business narratives. At the same time, the pros-and-cons excerpt adds an important caution: some users feel it can be limiting for advanced analytics and power users, and performance may slow with large or complex datasets. Overall, the available review and marketplace documents suggest Yellowfin is best positioned for collaborative BI buyers who value reporting, dashboards, and accessible analysis, while heavier technical analytics teams should validate depth and performance carefully during evaluation.
AI answers
Examples of how assistants answer real buyer questions in this category.
View all Business Intelligence prompts →Perplexity
How do licensing and pricing models differ across BI vendors?BI vendors primarily differ by using per-user subscriptions (tiered by role) versus capacity-based licensing (paying for compute/storage regardless of user count), with some offering hybrid or usage-based models. ### Core Licensing Models | Model | How It Works | Key Vendors | Typical Cost Range | |-------|--------------|-------------|-------------------| | Per-User/Per-Month (Role-Based) | Each named user gets a license tier: Viewer (read-only), Explorer/Pro (interact/edit), Creator (build) | Power BI, Tableau, Qlik, Domo | Viewer: $3–$15; Explorer: $15–$45; Creator: $70–$120/user/month | | Capacity-Based | Buy a fixed compute footprint (e.g., F-SKU, P-SKU); unlimited readers; authors often metered separately | Power BI Premium, Looker, Tableau Cloud Bridge | $1,500–$5,000+/month for capacity blocks | | Hybrid | Combines per-user for creators + capacity for hosting/consumption; free read access above capacity threshold | Power BI/Fabric (F-SKU + Pro) | Pro: ~$14/user/month; Capacity: ~$5,000/month | | Usage-Based | Pay for data processed, queries run, or storage used; no per-user fees for viewers | Snowflake, Databricks, BI Helper | $2–$4/credit; usage scales with consumption | ### Vendor-Specific Breakdown (2026) | Vendor | Licensing Structure | Creator Cost | Viewer Cost | Notable Nuance | |--------|---------------------|--------------|-------------|----------------| | Microsoft Power BI | Hybrid: Pro (per-user) + Premium/F-SKU (capacity) | $14/user/month (Pro) | Free above F64 capacity; otherwise requires Pro/PPU | Forced migration from P-SKU to F-SKU by Oct 2026 | | Tableau | Role-based per-user (Creator/Explorer/Viewer) | $75/user/month (Standard) | $15–$35/user/month | Granular role segmentation benefits large passive user bases | | Looker (Google Cloud) | Pure capacity-based + per-user developer overlay | ~$100–$120/month (developer) | Scales with capacity blocks,
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