Why should I choose Bold BI ?
Bold BI is the top substitute to Domo and see for yourself how Bold BI stacks up against the competition.

Fixed Pricing
No Hidden Costs !
Bold BI pricing model is designed with your success in mind. No hidden or extra costs other than discussed in our demo. Even for technical support, Domo adds additional costs, making it costly in the long run.

All-Inclusive product
No Limited Software Capabilities !
Bold BI is easy to customize and no add-ons required. All basic widgets and features are integrated within the product, by default. We are fully committed to making Bold BI the market leader in embedded analytics software.

Simple Setup
No Tech Knowledge Required !
Bold BI is very simple and ultimately, the goal is to create a positive user experience to customers. There is no prior or technical knowledge required to use our product.
Fixed Pricing Model: Unlocking True Value
Bold BI offers a fixed monthly price per project, with no extra fees. On the other hand, Domo primarily uses a per-user pricing model that can be financially challenging to scale, and their pricing tends to be high and variable, especially when customized solutions are required, which makes it too expensive for small companies.


All-Inclusive Product Saves You Time and Money
Bold BI offers flexibility and efficiency in dashboard creation and embedding without requiring any additional add-ons to access its features and required capabilities to build effective dashboards. In contrast, Domo has limited software capabilities and is difficult to use for simple functions, including customizing tooltips, inflexible drill-down data, inaccurate data refresh, limited dashboarding functions, and cross-schema joins & tables functions. These limitations can prove cumbersome for organizations with limited technical resources or those seeking a straightforward setup process.
Setup Made Simple: Our Product is Accessible for Everyone
We, at Bold BI, are committed to supporting our product and providing assistance whenever possible. Our product is user-friendly and does not require technical expertise. In contrast, Domo requires technical assistance by own or pay additionally to Domo services with strong SQL knowledge to write functionality through different steps of creating queries to assemble a collection of cards (dashboard). This tends to be time-consuming, taking a week to create the first dashboard. On the other hand, you can create your first dashboard in minutes with Bold BI.


Impeccable Support: Grow Customer Loyalty
Syncfusion, the company behind Bold BI, has provided SDKs to 400+ of the Fortune 500 for 20+ years. Our 24 x 5 customer service reflects our commitment to long-term support. Whereas Domo have low customer support and tends to push end users to avail premium support for additional costs. Compared to Domo, our support team is fast and efficient, as demonstrated by customer reviews.
Low-Code BI Solution
Bold BI Embedding is a low-code BI solution that simplifies configuration and minimizes the need for extensive coding. In contrast, Domo do have low/no code interface whereas you need to build queries for simple to advanced custom functions where you need to invest in technical users which can be time-consuming for the development team.


21-Year Success: Achieving Goals Secrets
Bold BI provides an intuitive drag-and-drop interface that allows users to quickly generate insights from any data source, creating stunning dashboards, reports, and visualizations. Our commitment to making Bold BI the most successful embedded analytics software on the market remains unwavering.
Unleash the power of on-premises
Bold BI provides a reliable on-premise solution for embedding analytics virtually anywhere, including on-premises with multiple tenants, Linux, Docker, Kubernetes, and Azure App Service. In contrast, Domo is cloud BI solution, not supports On-premises version and cloud version tends to have limited software capabilities and requires constant support for end users.

Easy Data Processing
Bold BI can directly work with 130+ data sources and analyzed directly without the need for an intermediate data store for further processing and display. Sisense can work directly with a limited number of data sources. However, it primarily uses an intermediate store (a cube) to hold data
from multiple data sources for processing and analysis. Depending on the use cases, this can pose a major difficulty, especially if you must do a lot of data processing.
You and your customers must deal with data migration, data security and plan for a workflow that will keep the data in the cube up to date. When data processing is performed by a cube, you must be sure to stress test it. You may find that you must specify significantly upgraded hardware to handle the additional processing and memory overhead.
Embedded Analytics Evaluation Guide
Our Buyer's Guide helps you to analyze market for embedded analytics solution, select the best embedded analytics provider for your needs to make an informed buying decision.
Get more and spend less with Bold BI
Check out how Bold BI compares to Domo with features and functionalities.
Analytic capabilities need to be seamlessly integrated into business applications and websites for faster adoption. Embedding can be iframe-based or JavaScript-based with less code for developers to configure. So, the analytics you embed should be compatible with modern JavaScript frameworks and server-side technologies such as .NET Core and ASP.NET.
Features | ![]() (V6.1.8) | ![]() (March 2023) |
---|---|---|
White-labeling | ||
Multi-tenancy | ||
Version control | ||
Embedding in business apps and websites | ||
Globalization | ||
Localization | ||
Iframe Embedding | ||
JavaScript Embedding | ||
Microservices | ||
Frameworks such as Angular, React | ||
Use with .NET, Java, PHP & more | ||
Low code | ||
Mobile | ||
Natural language generation (NLG) | ||
Responsive Design | ||
Ad hoc Reporting | ||
Export dashboards | ||
Self-service | ||
Scorecards | ||
Slideshows | ||
Pinboards | ||
Pixel Perfect Reporting | ||
Paginated Reports | ||
UI Interactivity | ||
Drill-Down | ||
Key Performance Indicators | ||
Linked reports | ||
Drag & Drop UI | ||
Dashboard Filter | ||
Geographical maps | ||
Custom Visualizations | ||
Custom Dashboard Templates | ||
Tabbed Dashboards | ||
Data Explorer | ||
Tabular reports | ||
Pagination in Grid | ||
Tab Widget | ||
Text Filter | ||
Interactive commenting | ||
Share dashboards via link | ||
Share dashboards within your organization | ||
Share dashboards via email | ||
Email alerts |
Organizations are making important decisions based on their data. A BI tool eases the analysis and reporting processes of an organization, but first you need to get the data into the tool. A good BI tool will be able to connect to data in the many formats and sources it’s kept. For example: files, relational databases, storage services, NoSQL databases, and REST-based Web API services.
Features | ![]() (V6.1.8) | ![]() (March 2023) |
---|---|---|
Support for data files such as CSV, Excel, JSON, XML | ||
Big Data integration | ||
Relational databases | ||
NoSQL Databases | ||
Streaming data | ||
REST API Services | ||
SSAS Support | ||
Data Sampling | ||
ODBC Support (On-Premises) | ||
Bold Desk | ||
Live web Data source using API |
Businesses collect and store massive amounts of data, but don’t always know what to do with it. More and more, comprehensive data management is necessary, both to keep the data secure and optimize its usefulness. A major part of the work for the latter is in data preparation, including ensuring smooth integration of data from different sources.
Features | ![]() (V6.1.8) | ![]() (March 2023) |
---|---|---|
Basic data preparation | ||
Advanced data preparation | ||
Data blending (or) Data mashups | ||
Write-back | ||
Calculated fields | ||
Visual data modeling | ||
Budgeting & Forecasting |
Organizations choose the deployment environments of BI based on their data standards and compliance, target audiences, and their own needs. It may be cloud, on-premises, or in different environments such as, Windows, Linux, Kubernetes, or Docker. Ideally, an analytics platform should be flexible and allow deployment in any environment.
Features | ![]() (V6.1.8) | ![]() (March 2023) |
---|---|---|
On-Premise | ||
Cloud neutral | ||
Windows | ||
Linux | ||
Docker | ||
Kubernetes | ||
Azure and App Services |
Security is the foremost consideration when choosing any product that works with your data. It should be covered from every angle: from granular control over access permissions to data security at rest or in transit.
Features | ![]() (V6.1.8) | ![]() (March 2023) |
---|---|---|
Data 100% in customer control | ||
Row-level Security | ||
Single Sign-On | ||
Parameterized database connections | ||
User filtering | ||
User-based access | ||
Trusted authentication | ||
Lock Accounts (entering five incorrect password) |
Advanced users like app developers need embedded dashboards to be customizable and extensible to meet the growing needs of an application. It’s best to have this kind of flexibility in features like the UI appearance, module-level permissions, and custom logic.
Features | ![]() (V6.1.8) | ![]() (March 2023) |
---|---|---|
Authentication Protocols | ||
Mobile App | ||
Multi development language support | ||
Theming | ||
Data source CRUD and manipulation APIs | ||
Custom UI and logic Injection | ||
Event Handling | ||
Granular Permission Model | ||
Date field auto hierarchy and custom hierarchy |
Complete control over every aspect of embedding should be achievable with any business analytics tools. Any business processes that involves continuous monitoring or repetitive actions for immediate decision making, need to be automated. This kind of business processes can be provisioning tenants, users, groups, and permissions, scheduling reports, api interoperability with dashboard capabilities, or more.
Features | ![]() (V6.1.8) | ![]() (March 2023) |
---|---|---|
Automated provisioning - Multi-tenancy | ||
Automated provisioning - Users, Groups and Permissions | ||
Auto-scheduled reports | ||
API Integration | ||
Automation | ||
Schedule Export to FTP, FTPS and SFTP Location | ||
Unlist dashboard from listing page | ||
Data Caching |
Enterprise-Grade Security and Privacy
To protect your customers’ data, security systems control access to your entire organization and secure your data at multiple levels. Encryption, audit logs, IP restrictions, and single sign-on are features that can help you protect your data and restrict access to only authorized users.
Single Sign-On
Single sign-on (SSO) with Bold BI allows users to log in and access their account with a single set of credentials by using SSO systems such as Office 365, OAuth 2.0 and OpenID identity providers.
Password Policies
Create password policies to enforce secure, strong passwords; password rotation frequency; and password expiration to meet your security standards and policies.
Roles and Permissions
Control users’ access to data by giving them certain permissions.
Audit Logs
Audit logs contain information about specific events or operations, such as access, change details, who performed an action, and so on.
Access Control Security
Bold BI follows strict access control over customer data, and employees do not have direct access to the datacenter.
Allowlist IP addresses
Bold BI Cloud Analytics Server is restricted to access your databases or services only through IP addresses that are specified on your firewall allowlists.
Dashboard Security
Bold BI gives you control over dashboard access, allowing you to make them public or private. You can also make unlisted dashboards, restrict dashboard embedding for unknown domains, and set IP restrictions for dashboard accessibility.
VAPT Compliance
Bold BI is approved by a third-party vendor after a vulnerability assessment and penetration testing (VAPT) evaluation.
What Our Customers Say About Us
See what our customers say about us and our embedded analytics and business intelligence product.




Start Embedding Powerful Analytics
Try out all the features of Bold BI with 15-day free trial and get to know how it suit to your needs of embedded analytics.