Bold BI vs. Dundas BI: Choosing an Embedded Analytics Tool

TL;DR: Bold BI® and Dundas BI both support embedded analytics, but they may be suited to different priorities. Bold BI is positioned around built-in multi-tenancy, AI-assisted analytics, and flexible deployment options. Dundas BI is often considered by organizations looking for customization, reporting flexibility, and developer extensibility. Teams evaluating either platform should compare deployment requirements, embedding needs, security, customization, pricing, and implementation effort based on their specific use case.

Introduction

Some product teams don't set out to build an analytics platform. They simply need to add dashboards and insights to their application because customers expect them. The challenge is that embedded analytics often becomes a major engineering project. Development teams must build visualizations, manage user permissions, secure data access, support multiple customers, and maintain everything over time. What starts as a dashboard request can quickly consume months of roadmap capacity. That's why many organizations evaluate embedded analytics platforms instead of building analytics in-house.

Bold BI and Dundas BI are two platforms commonly considered for this decision. Both enable teams to embed dashboards and analytics into SaaS applications and enterprise software, but they take different approaches. Bold BI is positioned for embedded analytics deployments with built-in multi-tenancy, AI-powered analytics, and flexible deployment options.

This comparison examines how each platform approaches embedded analytics, deployment flexibility, AI capabilities, customization, security, and scalability so teams can evaluate which solution best aligns with their product strategy.

What should you evaluate in an embedded analytics platform?

Choosing an embedded analytics platform involves more than comparing dashboards and visualizations. The right solution should support your current requirements and be evaluated for how well it can adapt as your product and customer base grow.

When evaluating vendors, consider the following factors:

• Branding and customization: Look for white-labeling capabilities that allow control over themes, colors, domains, navigation, and embedded user experiences.
• Data connectivity: Evaluate solutions that offer capabilities such as SSO, role-based access control, row-level security, tenant isolation, and appropriate authentication options.
• Security and governance: Evaluate solutions that offer SSO, role-based access control, row-level security, tenant isolation, and enterprise-grade authentication mechanisms.
• Multi-tenancy support: For SaaS products, tenant management, isolation, resource allocation, and governance may be important considerations depending on architecture and growth plans.
• Deployment flexibility: Cloud, on-premises, and container support can help teams address data residency, security, and operational requirements.
• AI-powered analytics: Consider whether the platform offers capabilities such as natural language querying, AI assistants, automated insights, or dashboard creation assistance.
• Self-service analytics: Consider how well the platform enables technical and non-technical users to build, modify, and explore dashboards with appropriate governance.
• Total cost of ownership: Licensing is only one part of total cost, so implementation effort, infrastructure, maintenance, and scaling overhead should also be evaluated.
• Implementation timeline: Review the level of setup, configuration, and technical involvement likely to be required.

With these evaluation criteria in mind, let's take a closer look at what each platform offers and how they support modern embedded analytics initiatives.

Understanding Bold BI

Bold BI is Syncfusion's analytics platform for organizations that want to embed dashboards and analytics into SaaS applications, customer portals, and enterprise software. It combines embedded analytics, self-service capabilities, AI-assisted analytics features, and broad data connectivity in a platform designed to support embedded analytics use cases.

Key capabilities include:

• Interactive dashboard creation: Build dashboards through a drag-and-drop designer and extensive visualization library, which may help reduce engineering effort for dashboard development, depending on the use case and implementation.
• AI-driven analytics: Use AI Copilot, natural-language queries, and smart narrations that automatically summarize key trends, highlight notable changes in performance, and can help users understand dashboard insights more quickly.
• Broad data connectivity: Connect to more than 140 data sources, reducing the time required to integrate analytics across databases, cloud applications, APIs, and business systems.
• Embedding capabilities: Embed dashboards, widgets, and analytics designers directly into applications, allowing customers to access insights without leaving the product they use every day.
• White-label customization: Deliver analytics under your own brand with customizable themes, domains, navigation, and user experiences, creating a seamless extension of your application.
• Security features: Support enterprise governance requirements through SSO, role-based access control, and row-level security to help organizations control access so users can be limited to authorized data, depending on configuration.
• Built-in multitenancy: Manage multiple customers from a single instance with tenant isolation and centralized administration for SaaS-oriented deployments.
• Built-in data preparation and modeling: Bold Data Hub supports data preparation, blending, and modeling before data is used in dashboards, so teams can work with clean, ready-to-use data without relying on separate data preparation tools.
• Collaboration and sharing: Support dashboard sharing, comments, and centralized analytics access, so teams can discuss insights directly within dashboards instead of relying on disconnected email threads or screenshots.

Who is Bold BI best suited for?

Bold BI is designed for product teams, SaaS providers, and enterprises that need embedded analytics, built-in multi-tenancy, deployment flexibility, and AI-powered analytics capabilities.

Next, let’s examine how Dundas BI supports embedded analytics and dashboard customization.

Understanding Dundas BI

Dundas BI is the Custom Analytics module within insightsoftware's Logi Symphony platform, offering embedded analytics, dashboarding, and reporting capabilities. Since insightsoftware's 2022 acquisition, Dundas BI is no longer sold as a standalone product; it operates specifically as a component of the unified Logi Symphony platform. It's often evaluated by organizations seeking customized analytics experiences and greater control over implementation.

Key capabilities include:

• Dashboard customization: Design dashboards and analytics experiences to align with specific business and application requirements.
• Embedded analytics capabilities: Integrate analytics into existing applications through customizable embedded BI features.
• Self-service analytics: Enable users to explore data, run ad hoc analysis, and create dashboards and reports with reduced dependence on IT teams, depending on governance and implementation.
• Open APIs and extensibility: Use .NET, REST, and JavaScript APIs to customize workflows, extend functionality, and support embedded analytics integrations.
• Data visualizations: Analyze business data using charts, maps, tables, gauges, scorecards, and other interactive visualization components.
• Data integration and preparation: Connect, transform, and prepare data from multiple sources to support reporting and analytics initiatives.
• Mobile-friendly analytics: Access and interact with dashboards across desktop and mobile devices through an HTML5-based interface.

These capabilities may make Dundas BI relevant for organizations that require customization, reporting flexibility, and more control over dashboard behavior and analytics workflows.

Who is Dundas BI best suited for?

Dundas BI may be relevant for organizations that prioritize customization, reporting flexibility, and developer extensibility, particularly when analytics requirements extend beyond standard dashboarding use cases.

Bold BI vs. Dundas BI: Key differences that matter

The comparison below highlights how the two platforms differ across areas that may matter to product teams, developers, and enterprise buyers.

Feature	Bold BI	Dundas BI
Dashboard design	Drag-and-drop dashboard interface with filtering, drill-downs, interactive visualizations, and a broad set of widgets.	Customizable dashboard designer for creating tailored analytics experiences.
AI-powered analytics	AI Copilot, smart narrations, prompt-to-dashboard creation, and AI assistant capabilities.	AI-related capabilities should be evaluated based on the current product offering, edition, and implementation approach.
Data connectivity	Supports a broad range of connectors across databases, cloud applications, APIs, and files.	Supports integration with multiple enterprise data sources and reporting systems.
Data preparation	Built-in data modeling and preparation through Bold Data Hub.	Built-in ETL and data preparation capabilities.
Embedded analytics	SDKs, APIs, and embedding options for embedded analytics use cases.	Customizable embedded analytics capabilities with developer-oriented configuration and integration options.
Branding & customization	White-label analytics with branding controls and customizable user experiences.	Customization and white-labeling options for analytics applications.
Multi-tenancy	Built-in multi-tenancy capabilities for supporting multiple customers from a centralized deployment.	Multi-tenant deployment support should be evaluated based on architecture and implementation requirements.
Security & governance	SSO (OAuth 2.0, OpenID Connect), RBAC, row-level security, and compliance support including ISO, SOC 2, GDPR, and HIPAA.	Security and governance controls that can be configured based on organizational requirements.
SaaS & enterprise readiness	Includes built-in multi-tenancy and deployment options intended to support SaaS and enterprise use cases.	Supports enterprise analytics deployments with configurable architecture and customization options.
Pricing model	Flexible pricing options are available based on deployment requirements and organizational needs. Organizations can review current pricing details directly on the Bold BI pricing page.	Dundas BI uses a custom, quote-based pricing model. Organizations should contact the vendor directly to obtain pricing based on their deployment, user, and implementation requirements.
Total cost of ownership	Self-serve trial access and embedding options may help some teams evaluate implementation effort.	Implementation and configuration effort may vary depending on customization, deployment architecture, and reporting requirements.
Self-service analytics	Drag-and-drop dashboard creation that can enable business users to build and customize dashboards with less developer involvement, depending on governance and use case complexity.	Supports self-service analytics and ad hoc reporting with customizable governance and reporting workflows.
Collaboration & sharing	Supports dashboard sharing, comments, and centralized analytics access.	Supports dashboard distribution, reporting workflows, and sharing capabilities for analytics teams.
Time-to-value	Organizations should assess evaluation experience, implementation effort, and deployment timelines based on product requirements, support model, and architecture.	Evaluation and implementation approach should be assessed based on vendor process, customization needs, and deployment requirements.

Looking for a product-focused evaluation? Explore our Bold BI alternative to Dundas BI guide for additional details on deployment options, customization capabilities, embedded analytics features, and migration considerations.

Where Bold BI stands out

• Built-in AI-assisted analytics capabilities.
• A broad set of data connectors for integrating with business systems.
• Flexible deployment options, including cloud, on-premises, Docker, Kubernetes, Windows, and Linux environments.
• Broad connectivity across 140+ data sources, which may reduce integration effort.
• White-label analytics capabilities, enabling organizations to deliver a fully branded analytics experience that feels like a native part of their application.
• Self-service analytics for business users, which can support self-service dashboard creation.
• Built-in data preparation and modeling with Bold Data Hub, allowing teams to combine, transform, and prepare data before visualization without requiring separate tools.
• Enterprise-grade security and governance, including SSO, role-based access control, row-level security, and support for compliance requirements such as SOC 2, GDPR, HIPAA, and ISO standards.
• positioned for customer-facing analytics use cases, helping software vendors and SaaS teams embed dashboards and analytics directly into their products.

Where Dundas BI stands out

• Dashboard customization and developer extensibility.
• Reporting capabilities alongside embedded analytics and dashboards.
• A framework that supports tailored and white-labeled analytics experiences.

The comparison highlights different areas of emphasis. Bold BI is positioned around embedded analytics capabilities, deployment options, and built-in multi-tenancy. Dundas BI may appeal to teams looking for API-driven customization and reporting-oriented implementation requirements

Which platform may fit your embedded analytics roadmap?

Both Bold BI and Dundas BI offer embedded analytics capabilities, but they may be evaluated for different priorities.

Bold BI may be relevant if you:

• Are looking for embedded analytics capabilities that include built-in multi-tenancy and support customer-facing use cases.
• Value access to a self-serve trial as part of the evaluation process.
• Are looking for AI-assisted dashboard creation and analytics features available within the platform.
• Need deployment options that align with your infrastructure requirements.

Dundas BI may be relevant if you:

• Have development resources available for greater customization.
• Need configurable dashboard workflows and platform extensibility.
• Prefer a more tailored analytics environment.
• Are already invested in the insightsoftware or Logi Symphony ecosystem.

This framework can help structure your evaluation based on the capabilities that matter most to your organization.

Why do organizations consider moving from Dundas BI to Bold BI?

Organizations may consider migration when evaluating changes in analytics deployment approach, customization requirements, tenant management, or platform fit for customer-facing analytics applications.

Migration may involve steps such as:

• Recreating dashboards within Bold BI's dashboard designer.
• Reconfiguring data source connections and data models.
• Updating embedded analytics integrations using Bold BI SDKs and APIs.
• Validating user access, security policies, and tenant configurations.
• Testing dashboards and analytics workflows before rollout.

For teams migrating from Dundas BI or another analytics platform to Bold BI, implementation support can help accelerate dashboard recreation. Explore our onboarding process to get started with ease.

Migrating from Dundas BI to Bold BI may offer more flexibility in dashboard design, embedding, and tenant management going forward. Many organizations that use Bold BI today have shared feedback on these capabilities, describing how the platform performed once put into production. Here are a few examples.

Customer success stories

Customer success stories show how organizations use Bold BI to accelerate embedded analytics deployments, streamline analytics, and deliver better data experiences to their customers.

ai-InteleKt: Delivering embedded analytics without building from scratch

ai-InteleKt needed a dashboarding solution that could be customized, embedded directly into its application, and used to support its business requirements without the complexity of developing analytics functionality in-house. Using Bold BI, the company embedded customer-facing dashboards and provided users with a seamless analytics experience inside its platform.

• Challenge: Needed a customizable embedded analytics solution that could be integrated into the product without extensive in-house development.
• How: Used Bold BI's drag-and-drop dashboard designer and embedding capabilities, with support from the Bold BI team to help accelerate implementation.
• Why it matters: Helped ai-InteleKt to bring embedded analytics capabilities to market faster while providing users with dashboards that are easy to build, customize, and embed.

Persistent Systems: Streamlining dashboard development and analytics delivery

Persistent Systems wanted to improve how engineering teams transformed raw data into dashboards and analytics experiences. By adopting Bold BI, the organization simplified dashboard creation and embedded analytics directly into existing applications.

• Challenge: Manual dashboard creation processes slowed access to analytics and increased development effort.
• How: Used Bold BI to transform raw data into embedded dashboards and analytics experiences.
• Why it matters: Reduced manual dashboard development effort, enabling engineering teams to focus on higher-value work while providing faster access to analytics.

These examples show different ways organizations have used Bold BI in embedded analytics implementations. Additional customer stories and implementation examples are available on the website.

What customers say about Bold BI

Customer feedback frequently highlights Bold BI's ease of use, embedded analytics capabilities, and responsive support experience.

"Finally, embedded analytics that get out of our way — at a fraction of the cost" “Bold BI does the three things our product actually depends on, natively: embedding dashboards directly into our React app, connecting live to MySQL without an intermediate data layer, and keeping each client's data cleanly isolated through built-in multi-tenancy. Coming from a prior platform where each of those was a fight, the difference has been night and day. The React SDK made embedding straightforward, and features that had eaten months of effort elsewhere came together in days. Support has been a standout too. The team is genuinely responsive and, depending on the complexity of the issue, will jump on a call with multiple engineers rather than trading tickets back and forth for weeks.” By Barbara S. Source G2

This feedback reflects Bold BI's capability in ease of implementation, embedded analytics, and platform flexibility. In addition to this customer feedback, Bold BI also received recognition through multiple badges in the G2 Winter, Spring, and Summer 2026 Reports, earning high performer and leader status in analytics, embedded BI, and business intelligence.

Get started with Bold BI

Choosing between Bold BI® and Dundas BI ultimately comes down to your organization's analytics requirements, deployment preferences, and long-term goals. By evaluating each platform against your needs for embedded analytics, scalability, customization, and ease of implementation, you can identify the solution that best fits your roadmap.

Don't let dashboard requests consume months of development time. Start a free 30-day trial or request a personalized demo to see how Bold BI can accelerate your embedded analytics roadmap while maintaining the flexibility and scalability your business needs.

Related resources:

• Top Embedded Analytics Tools for SaaS Teams 2026
• Embedded Analytics Tools: What to Evaluate Before Buying
• Why You Should Choose Bold BI for Embedded Analytics
• Top 5 Self-Service Analytics Platforms for 2026
• 5 Essential Dashboard Software for SaaS Teams in 2026
• Top 5 Embedded Business Intelligence Tools for 2026
• SaaS Analytics Platform in 2026: Why It Matters & Use Cases

Frequently asked questions

1. 1. How do Bold BI and Dundas BI differ?

      Bold BI is positioned around embedded analytics use cases that may include SaaS deployments, multi-tenancy, and white-labeling, while Dundas BI is often evaluated for customized dashboard and reporting environments.

   2. When might Bold BI be considered as an alternative to Dundas BI?

      Bold BI may be considered as an alternative to Dundas BI when organizations are evaluating factors such as embedded analytics capabilities, deployment options, white-labeling, data connectivity, AI-assisted features, and built-in multi-tenancy.

   3. Which platform may be relevant for SaaS analytics use cases?

      Bold BI may be relevant for SaaS analytics use cases because it includes built-in multi-tenancy, white-labeling, and embedded analytics capabilities for customer-facing applications. Organizations evaluating Dundas BI for SaaS deployments may prioritize customization and reporting flexibility.

   4. Does Bold BI support multi-tenancy?

      Yes. Bold BI includes built-in multi-tenancy capabilities for managing multiple customers from a centralized deployment.

   5. Can Bold BI be deployed on-premises?

      Yes. Bold BI supports on-premises deployment through Windows, Linux, Docker, and Kubernetes environments, in addition to cloud deployment options.

   6. How do Bold BI and Dundas BI differ in their embedded analytics approach?

      Bold BI offers SDKs, APIs, and embedding options for customer-facing analytics use cases, while Dundas BI provides customization and developer extensibility that organizations can evaluate based on their implementation needs.

   7. What types of data sources does Bold BI support?

      Bold BI supports a broad range of data connectors, including databases, cloud applications, spreadsheets, APIs, and data warehouses.

   8. Does Bold BI include AI-assisted analytics capabilities?

      Bold BI includes AI-assisted analytics capabilities such as AI Copilot, prompt-to-dashboard creation, and natural language features, subject to current product availability and configuration.

   9. What should I evaluate before purchasing an embedded analytics platform?

      Evaluate factors such as embedded analytics capabilities, white-labeling, multi-tenancy, data connectivity, security, deployment flexibility, and how the platform may support future growth. Also consider API support, self-service analytics features, AI-related capabilities, and the platform’s total cost of ownership when assessing long-term fit for your business requirements.

   10. What pricing and cost factors should I evaluate when comparing Bold BI and Dundas BI?

       When comparing costs, evaluate more than licensing fees. Consider implementation effort, infrastructure requirements, customization costs, maintenance overhead, scalability, training requirements, and the resources needed to support analytics long term. Total cost of ownership often has a greater impact than initial licensing costs alone.