Self-managed customers are responsible for deployment and upgrades.
Buyers should account for server, database, operational, and upgrade resources when comparing with fully hosted BI services.
Evidence source ↗
Yellowfin BI
Yellowfin BI is a business intelligence platform for reporting, dashboards, data storytelling, automated insights, and embedded analytics.
6 key claims verifiedOur editorial team checked this profile against vendor documentation, product documentation, pricing information. Supported by 6 documented sources.
Editorial overview
Aggregated Overview
Product documentation verifies broad reporting, integration, embedding, AI-assisted analysis, and deployment options. G2 reviews praise dashboards and collaboration, while some report learning effort and slower performance with large datasets. Public enterprise prices are quote-based.
This profile combines documented product information and independent evidence where available. It is not a hands-on test unless TechZella explicitly identifies one.
Overview
Yellowfin BI is a business intelligence product for building reports, dashboards, and analytics experiences. The vendor describes uses in enterprise analytics, embedded analytics, and bespoke analytical applications.
Its features combine data visualization with Stories, Signals, collaboration, and AI-assisted analysis. Buyers can deploy Yellowfin on their own infrastructure or ask about a managed service.
Yellowfin BI Decision Snapshot
A quick way to understand who this product may suit, where its limits matter, and which facts are most relevant before you compare alternatives.
Best suited to
Organizations and software vendors seeking deployable BI with embedded analytics, dashboards, automated insights, and collaborative data storytelling.
Look elsewhere if
Buyers needing an openly priced, turnkey hosted service or organizations unwilling to size and manage self-hosted infrastructure may find the quote-led and self-managed options less suitable, and should evaluate alternatives such as Microsoft Power BI or Tableau instead.
Platforms
AWS, Azure, Linux, Web, Windows
TechZella assessment
7.6/10
Yellowfin BI — What Sets It Apart?
These are the product-specific differences that may matter when deciding whether the software fits your workflow. They are based on documented evidence rather than a universal ranking.
- Combines reports and dashboards with Stories, Signals, collaboration, and embedded analytics in one platform.
- Offers enterprise pricing based on named users, server cores, or user tiers, and embedded pricing models designed around an ISV's usage or revenue approach.
- Supports self-managed deployments across cloud and on-premises environments, with Docker and Kubernetes mentioned in deployment materials.
Yellowfin BI Pros & Cons
Pros
- Supports cloud and on-premises deployment choices.
- Offers a documented REST API and embedded analytics tooling.
- Combines dashboards with Stories, Signals, and collaboration capabilities.
- Provides many connectors to databases and business applications.
Cons
- Enterprise pricing requires a sales quote.
- Self-managed deployments require customer infrastructure administration and upgrade planning.
- Some public reviews cite a learning curve for advanced functions and performance issues with large datasets.
Yellowfin BI Gotchas & Operational Limits
These are documented constraints or practical friction points that may matter before you adopt the product.
Pricing depends on deployment and licensing model, with prices provided through a sales request.
Buyers need a quote tailored to named users, server cores, user tiers, or embedded usage before estimating total cost.
Evidence source ↗Yellowfin BI Pricing & Plans
Enterprise named-user, server, or user-tier license
Request a quote
Quote-based
Enterprise pricing depends on named-user count, required server cores, or writer and consumer user tiers.
Check current pricing →Embedded analytics
Request a quote
Quote-based
Pricing models include usage-aligned pricing, revenue share, or server-core pricing for software vendors.
Check current pricing →30-day free trial
Free
30 days
Trial access is available by submitting the vendor's request form.
Check current pricing →Pricing may change. Verify current plans on the vendor's website.
Yellowfin BI Competitors & Alternatives
Compare similar products directly, then see which alternatives may make more sense when your requirements differ.
At a glance
Artificial Intelligence Software| Decision factor | Yellowfin BI | Microsoft Power BI | Tableau |
|---|---|---|---|
| Pricing model | Enterprise pricing is quoted and can be based on named users, server cores, or user tiers. | Power BI offers a free account and lists Pro at $14.00 per user per month, paid yearly. Source ↗ | Tableau Cloud Standard starts at $15 per user per month, billed annually; Tableau Server has separately listed user and core-based options. Source ↗ |
| Deployment model | Self-managed on-premises or cloud deployment; a managed-service option is also described. | Microsoft's listed Power BI plans are delivered through the Microsoft Fabric service; free-account report sharing requires an upgrade. Source ↗ | Tableau offers hosted Tableau Cloud and self-hosted Tableau Server, including on-premises and public-cloud deployment. Source ↗ |
| Core scope | Includes dashboards, data stories, automated Signals, and embedded analytics capabilities. | Microsoft describes interactive reports and visual analytics, with report publishing and sharing included in Pro. Source ↗ | Tableau's portfolio includes Cloud, Server, and Tableau Next, with visualization, data preparation, and analytics products. Source ↗ |
Only factors supported by the available research are shown. The comparison is descriptive, not a ranking.
Direct competitors
These products address broadly similar requirements. The descriptions focus on documented reasons a buyer might compare them with Yellowfin BI.
Yellowfin BI Features
Analytics and reporting
- Reports and interactive dashboards
- Data Stories combining narrative and analytical content
- Automated Signals for monitoring data events
- ETL module for supported-source extraction, transformation, and loading
AI-assisted analysis
- Natural-language data questions
- AI-generated summaries and charts in Stories
- Conversational follow-up questions and context retention in Yellowfin 9.18
Integration and embedding
- REST API for content and selected administrative tasks
- JavaScript API and developer toolkits for embedded analytics
- Connectors for databases and third-party applications
Collaboration
- Sharing and discussion around analytics content
- Comments, annotations, and activity streams
- Scheduled distribution and notifications
Demo & Screenshots
Yellowfin BI Specifications
| Deployment | Self-managed cloud or on-premises; managed service is also described. |
|---|---|
| Operating systems | Windows, Linux, or MacOS on JVM-compatible environments. |
| Cloud providers | AWS, Azure, GCP, and other major providers. |
| Container support | Docker and Kubernetes deployments are documented. |
| API | REST API; JavaScript API and other integrations are documented. |
| Free trial | 30 days, by request. |
| Pricing basis | Enterprise: named users, server cores, or user tiers. Embedded: aligned utility, revenue share, or server cores. |
| Connectors | Includes database, SaaS, and application connectors; examples include Salesforce, Jira, Snowflake, and Google Analytics. |
Deployment & System Footprint
Verified installation, hosting, administration, or environment details that can affect implementation.
| Hosting | Self-managed on-premises or cloud deployment; Yellowfin also describes a fully managed service option. Source ↗ |
|---|---|
| Operating environment | JVM-compatible environments, including Windows, Linux, and MacOS; Docker and major cloud providers are supported. Source ↗ |
Migration & Lock-In
Documented portability, standards, export, or switching considerations. No switching-cost score is shown unless the evidence supports one.
Data portability
Yellowfin queries many existing sources directly and says reporting data generally remains in the connected data store; configuration data is held separately in its configuration database.
Evidence source ↗Our evidence-based assessment
TechZella Score
A proprietary editorial score based on product capabilities, usability, value, performance, support and user sentiment evidence.
7.6/10Moderate confidence
Product documentation verifies broad reporting, integration, embedding, AI-assisted analysis, and deployment options. G2 reviews praise dashboards and collaboration, while some report learning effort and slower performance with large datasets. Public enterprise prices are quote-based.
Methodology v1.0. The assessment weighs feature coverage (25%), ease of use (15%), value for money (20%), performance (15%), support (10%) and user sentiment (15%), using researched product evidence and verified review evidence where available. It is a TechZella editorial assessment, not a direct user-review average.
Editorial transparency
Our Review Methodology
Key claims are linked to the sources used to verify them. This evidence record is separate from third-party user ratings.
TechZella evaluates software using documented product capabilities, pricing information, usability and value considerations, independent user evidence where available, and competitive context. The assessment is an editorial review, not a hands-on test unless one is explicitly identified. Our editorial assessment is based on 6 documented sources.
What TechZella adds
- Combines reports and dashboards with Stories, Signals, collaboration, and embedded analytics in one platform.
- Offers enterprise pricing based on named users, server cores, or user tiers, and embedded pricing models designed around an ISV's usage or revenue approach.
- Supports self-managed deployments across cloud and on-premises environments, with Docker and Kubernetes mentioned in deployment materials.
Important limitations
- Enterprise pricing is not listed as a fixed public amount and requires a sales quote.
- Self-hosted deployments require customers to manage infrastructure and schedule upgrades.
- Public G2 review summaries include reports of slower performance on large datasets and a learning curve for advanced features.
Evidence-backed claimsYellowfin provides enterprise pricing options based on named users, server cores, and user tiers. Yellowfin supports on-premises and cloud deployment on JVM-compatible operating systems. Yellowfin offers a 30-day free trial by request. Yellowfin exposes a REST API for reports, dashboards, stories, users, and administrative functions. Yellowfin 9.18 was announced with conversational analytics and controls for AI model use. G2 lists Yellowfin BI at 4.4/5 from 423 reviews.
The official enterprise pricing page describes each model and directs prospects to request pricing.
View source ↗Verified 2026-11-07The deployment guide describes self-hosted options, JVM compatibility, Windows/Linux/MacOS systems, and cloud providers.
View source ↗Verified 2026-11-07The vendor trial page invites applicants to try Yellowfin free for 30 days.
View source ↗Verified 2026-11-07The Yellowfin Guide describes REST API access to content types and selected administration functions.
View source ↗Verified 2026-11-07The official release page lists 9.18 as released in August 2026 and describes follow-up questions, context retention, and AI-use controls.
View source ↗Verified 2026-11-07The public G2 product page displays the aggregate rating and review count.
View source ↗Verified 2026-11-07Yellowfin BI FAQs
Answers begin with the clearest available response, followed by the context that helps you act on it.
Does Yellowfin BI offer a free trial?
Yes. Yellowfin offers a 30-day free trial through its request form.
How is Yellowfin BI priced?
Yellowfin lists named-user, server-core, and user-tier models for enterprise deployments, but requires buyers to request pricing.
Can Yellowfin BI be self-hosted?
Yes. Yellowfin documents self-hosting on-premises or in cloud environments on JVM-compatible systems.
Does Yellowfin BI have a REST API?
Yes. Its public REST API covers major content types, including reports, dashboards, stories, and users.
Can Yellowfin embed analytics in another application?
Yes. Yellowfin markets embedded analytics and provides APIs and developer toolkits for integration.
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