Top 8 Dashboard Software to choose in 2025: A Detailed Comparison Guide
Integrate your CRM with other tools
Lorem ipsum dolor sit amet, consectetur adipiscing elit lobortis arcu enim urna adipiscing praesent velit viverra sit semper lorem eu cursus vel hendrerit elementum morbi curabitur etiam nibh justo, lorem aliquet donec sed sit mi dignissim at ante massa mattis.
- Neque sodales ut etiam sit amet nisl purus non tellus orci ac auctor
- Adipiscing elit ut aliquam purus sit amet viverra suspendisse potenti
- Mauris commodo quis imperdiet massa tincidunt nunc pulvinar
- Adipiscing elit ut aliquam purus sit amet viverra suspendisse potenti
How to connect your integrations to your CRM platform?
Vitae congue eu consequat ac felis placerat vestibulum lectus mauris ultrices cursus sit amet dictum sit amet justo donec enim diam porttitor lacus luctus accumsan tortor posuere praesent tristique magna sit amet purus gravida quis blandit turpis.
Techbit is the next-gen CRM platform designed for modern sales teams
At risus viverra adipiscing at in tellus integer feugiat nisl pretium fusce id velit ut tortor sagittis orci a scelerisque purus semper eget at lectus urna duis convallis. porta nibh venenatis cras sed felis eget neque laoreet suspendisse interdum consectetur libero id faucibus nisl donec pretium vulputate sapien nec sagittis aliquam nunc lobortis mattis aliquam faucibus purus in.
- Neque sodales ut etiam sit amet nisl purus non tellus orci ac auctor
- Adipiscing elit ut aliquam purus sit amet viverra suspendisse potenti venenatis
- Mauris commodo quis imperdiet massa at in tincidunt nunc pulvinar
- Adipiscing elit ut aliquam purus sit amet viverra suspendisse potenti consectetur
Why using the right CRM can make your team close more sales?
Nisi quis eleifend quam adipiscing vitae aliquet bibendum enim facilisis gravida neque. Velit euismod in pellentesque massa placerat volutpat lacus laoreet non curabitur gravida odio aenean sed adipiscing diam donec adipiscing tristique risus. amet est placerat.
“Nisi quis eleifend quam adipiscing vitae aliquet bibendum enim facilisis gravida neque velit euismod in pellentesque massa placerat.”
What other features would you like to see in our product?
Eget lorem dolor sed viverra ipsum nunc aliquet bibendum felis donec et odio pellentesque diam volutpat commodo sed egestas aliquam sem fringilla ut morbi tincidunt augue interdum velit euismod eu tincidunt tortor aliquam nulla facilisi aenean sed adipiscing diam donec adipiscing ut lectus arcu bibendum at varius vel pharetra nibh venenatis cras sed felis eget.
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Businesses today are overwhelmed by data from multiple sources. Be it marketing, sales or customer service, every business function today wants to be able to track KPIs and be able to create a compelling data story around them. But these siloed metrics often fail to paint a complete picture of the business.
Enter dashboard software. These BI tools are built to consolidate business critical data into intuitive visualizations. By providing a unified, real-time view of KPIs, these modern data dashboards help teams spot trends and make informed decisions more effectively, turning fragmented data into actionable insights that drive growth.
With growing popularity, the market for modern dashboards too has seen significantly grown. A simple google search for “dashboard software” will throw a long list of options–from basic data visualization dashboards to sophisticated analytics platforms. The search often stalls here. Not from lack of need, but from decision paralysis. What started as a simple goal of making metrics accessible to your team or customers, would have become a complex research project.
This blog is aimed at giving you a detailed walkthrough of the top dashboard solutions in the market today and strategies to help you choose a solution that matches all your business requirements.
Key Capabilities of a Dashboard Software
Real-Time Data Integration
Real-time data access speeds up decision-making. A good dashboard solution connects directly to your data sources - from spreadsheets, databases to data warehouses - enabling quick analysis and dashboard creation.
Data Modeling & Preparation
Dashboard software should have the ability to combine data from multiple sources into a single source of truth. This helps break down data silos by allowing all users/teams to be able to bring their data into a single interface, thereby promoting transparency and promoting a data-literate culture within the organization.
Intuitive & Customizable Interface:
A flexible, customizable interface allows users to tailor dashboards to their specific needs. It enables users of all types to easily adopt and utilize the tool, allowing you to democratize data both with your customers and within your business. Key features include
- Drag-and-drop functionality for easy widget arrangement.
- The ability to add, remove, and rearrange dashboard elements.
- Options to customize layout, design, and content.
Interactive Visualizations
A good dashboard software should offer a variety of interactive charts, graphs, and maps to explore and analyze data effectively. These visualizations make complex data more digestible, especially for non-technical users.
Mobile Accessibility
Modern dashboard software should be accessible across various devices, including smartphones and tablets, enabling users to access important data on the go.
Advanced Analytics and Reporting
As your business grows, complex data analysis becomes a necessity for you to find hidden actionable insights. A good dashboard software enables this by providing:
- Drill-down capabilities to uncover underlying trends.
- Ability to apply advanced filtering options.
- Capability to create intelligent system alerts and native product workflows.
- Custom report generation to enable your end-users a good self-service reporting experience.
Enterprise-grade security
In a world that is seeing significant increase in data breaches and stringent regulations, security and compliance features are table stakes to:.
- Protect sensitive business data from unauthorized access or breaches.
- Ensure compliance with industry-specific regulations (e.g., HIPAA for healthcare).
- Build trust with customers and partners by demonstrating a commitment to data protection.
- Robust security measures safeguard not just data, but also the organization's reputation and legal standing.
Performance and Scalability
As your business grows, your data needs expand exponentially. A scalable & performance oriented dashboard software:
- Protects the initial investment by growing with the organization.
- Maintains performance even as data volumes and user numbers increase.
- Supports enterprise-wide deployment without compromising speed or functionality.
- Ensures that the dashboard solution remains valuable and effective long-term.
Embedded Analytics Capabilities
For customer-facing analytics in particular, the ability to seamlessly integrate dashboards into existing applications and workflows is crucial. While this is not core to all solutions, this capability is becoming increasingly important for businesses looking to provide analytics within their own products or services.
Pricing Models
Pricing strategies vary widely among dashboard solutions, with many offering tiered plans based on the number of dashboards or users. Choose one that best suits your business model and doesn’t put a hole as you scale.
Pro-tip: Databrain’s transparent pricing model only charges you for the platform and isn’t tied to any usage-based metrics. This means you can create unlimited embeds on your SaaS app and not worry about getting surprised at the end of your billing cycle
Top 8 Dashboard Software & Tools in 2025
We've evaluated and ranked the top 8 dashboard software tools based on the above-mentioned criteria. Here's a comprehensive list of them.
Databrain
Before we explore all the other options, it wouldn’t make sense if we didn’t highlight what we consider the best dashboard software in the market today–Databrain. Yes, we created it - but don't take our word for it. Our customers' success stories tell the real story.
Here’s what Evan Wade, co-founder of EpochOS, a leading business management tool designed for Mortgage Brokers, had to say about using Databrain.
Key Features:
- Customizable & Extensible SDK: Using our world-class SDK and our no-code data studio, product and data teams to easily build great end-user analytics experiences.
- White-labeled visualizations: Craft beautiful, pixel-perfect dashboards that look, feel, and behave exactly like your platform.
- AI-Powered Analytics: Give end-users the power of AI-Powered analytics to surface insights for your end-users and allow them to chat with their data.
- Self-Serve Reporting: Enable faster insight finding by allowing end users to customize dashboards, create new metrics & filters based on guardrails defined by you.
While most other tools excel at providing a good analytics experience to your end-users, the ability to create, customize and manage dashboards that is native to your product with minimal engineering involvement is something most tools don’t match up to the expectations, especially to that of a non-technical business user and this is where Databrain excels.
1. Tableau
Tableau is an established leader in data visualization, offering powerful tools to create interactive dashboards that transform raw data into actionable insights. While its extensive visualization library and robust features make it ideal for technical users extracting and analyzing complex data, business users often struggle with its steep learning curve.
Despite catering to users across skill levels, its technical complexity can be a significant barrier for those seeking straightforward dashboard creation. Also for businesses looking to embed dashboards, tableau embedded pricing has been a major issue for growing businesses owing to complex licensing and usage cost. Key Features:
- Extensive library of visualizations: Offers hundreds of pre-built chart types and customizable visuals to display data effectively
- Robust data blending and exploration tools: Combines multiple data sources and enables deep analysis through intuitive interfaces
- Drill-down functionality and advanced filtering: Allows users to explore data hierarchies and refine views with complex filters
- Strong community support and resources: Provides access to learning materials, forums, and user-created content for troubleshooting and inspiration
2. Microsoft Power BI
Power BI, Microsoft's AI-powered analytics platform, integrates seamlessly with the Microsoft ecosystem while providing comprehensive data analysis capabilities.
Complexity of its DAX formula language, performance issues with large datasets, and intricate data modeling requirements are some common challenges. Its visualization options less flexible than competitors, and licensing costs can escalate for larger organizations.
Related read:
- Tableau vs Power BI - See how the two tools compare.
- Power BI Embedded Pricing
-A Guide to Pricing & Feature Analysis
Key Features:
- Drag and drop builder: Simplifies dashboard creation with intuitive interface for arranging visual elements without coding
- Extensive library of pre-built dashboards and reports: Ready-to-use templates for common business scenarios, speeding up implementation
- Robust data modeling capabilities: Advanced tools for creating relationships between datasets and complex calculations
- Integration with the Microsoft ecosystem: Seamless connectivity with Office 365, SharePoint, and other Microsoft tools for unified data analysis
3. Looker
Looker, Google's cloud-based business intelligence and data analytics platform, offers a powerful solution for organizations seeking to derive actionable insights from their data. As part of the Google Cloud Platform, Looker seamlessly integrates with Google's ecosystem, providing robust data exploration and visualization capabilities.
However, Looker’s modeling layer LookML while powerful, can present a steep learning curve for users unfamiliar with SQL-based languages. Additionally, the cost structure of Looker can be prohibitive for smaller organizations or those with limited budgets, as it often requires a significant financial investment.
Key Features:
- LookML Data Modeling: Looker's unique modeling layer, LookML, allows users to define data relationships and calculations, ensuring consistency across the platform. This SQL-based modeling language enables the creation of reusable data models, streamlining analysis and maintaining data integrity.
- Real-time Data Exploration: With its live query functionality, Looker provides real-time data analysis capabilities. Users can perform ad-hoc analyses and receive immediate feedback, facilitating timely decision-making based on the most current data available.
- Interactive Dashboards and Visualizations: Looker offers a wide range of customizable visualization options, allowing users to create interactive dashboards, charts, and graphs. These tools help in identifying patterns and trends, crucial for data-driven strategy formulation.
- Embedded Analytics:The platform allows for seamless embedding of analytics into existing applications and workflows. This feature enhances user experience by providing self-service reporting within your own interface.
Related read:
- Looker vs Tableau: See how the two tools compare.
- Looker vs Power BI: See how the two tools compare.
- Looker embedded analytics alternatives
4. Sisense
Sisense is a comprehensive business intelligence and analytics platform designed to handle complex data. It offers a unique In-Chip™ technology for fast data processing and a user-friendly interface for creating interactive dashboards and visualizations.
While Sisense provides powerful data analysis capabilities, some users report that the initial setup and data modeling can be complex, requiring technical expertise. Additionally, the platform's pricing structure may be less transparent compared to some competitors, potentially leading to unexpected costs for scaling organizations.
Key Features:
- In-Chip™ Technology: Sisense's proprietary In-Chip™ technology leverages CPU cache and RAM for ultra-fast data processing, enabling quick analysis of large and complex datasets.
- AI-Powered Insights: The platform incorporates machine learning algorithms to automatically uncover hidden patterns and anomalies in data, providing users with AI-driven insights.
- Data Mashup Technology: Sisense's data mashup technology allows users to combine data from multiple sources easily, regardless of structure or size. This feature enables complex data analysis without the need for data warehousing or complex ETL processes.
- Drag-and-Drop Interface: A user-friendly interface with drag-and-drop functionality enables users to create dashboards and visualizations without extensive coding knowledge.
5. ThoughtSpot
ThoughtSpot is an AI-powered analytics platform that emphasizes natural language processing and search-driven analytics. It aims to make data exploration accessible to non-technical users through its intuitive search bar interface.
However, the platform's limited data modeling capabilities create challenges for complex data structures, while inefficient query execution can lead to escalating costs. Visualization options are considered basic compared to competitors, and the natural language processing feature often requires extensive setup to be useful. ThoughtSpot's pricing structure, with high initial costs and usage-based pricing, makes it difficult for organizations to predict and control expenses, potentially making it less attractive for budget-conscious businesses or those with fluctuating analytics needs.
Key Features:
- SpotIQ AI Engine: ThoughtSpot's AI engine automatically generates insights and visualizations based on user queries, uncovering hidden trends and patterns.
- Natural Language Search: Users can ask questions in plain language to explore data and generate visualizations, making analytics more accessible to non-technical users.
- Relational Search Engine: ThoughtSpot's relational search engine allows users to explore data relationships across multiple tables and data sources using simple search queries, enabling users to uncover complex insights without needing to understand the underlying data structure.
6. Domo
Domo is a cloud-based business intelligence platform that focuses on providing a comprehensive suite of data connectors and visualization tools. It aims to unify data from various sources into a single, user-friendly interface.
Some users find that the platform can become costly as data volume and user numbers increase.
Key Features:
- Extensive Data Connectors: Domo offers over 1,000 pre-built connectors, enabling easy integration with a wide variety of data sources.
- Real-Time Data Processing: The platform provides real-time data updates and alerts, allowing users to make decisions based on the most current information.
- Collaborative Tools: Domo includes built-in social and collaborative features, facilitating team discussions and knowledge sharing within the platform.
- Mobile-First Design: With a strong emphasis on mobile accessibility, Domo ensures that users can access and interact with their data on any device.
7. Amazon QuickSight
QuickSight is a cloud-based business intelligence platform that is part of the Amazon Web Services (AWS) ecosystem. It offers fast, easy-to-use, and cost-effective BI solutions with seamless integration with other AWS services.QuickSight's tight integration with AWS can be a double-edged sword.
While it works exceptionally well within the AWS ecosystem, it may not be the best choice for organizations primarily using other cloud providers. Some users also report that QuickSight's visualization options are more limited compared to some other BI tools.
Key Features:
- SPICE Engine: QuickSight's Super-fast, Parallel, In-memory Calculation Engine (SPICE) enables rapid data analysis and visualization creation.
- Machine Learning Insights: The platform incorporates machine learning to provide automated insights and anomaly detection.
- Pay-Per-Session Pricing: QuickSight offers a unique pay-per-session pricing model, which can be cost-effective for organizations with intermittent BI needs.
- Q - Natural Language Query: Amazon QuickSight Q is an advanced natural language query feature that allows users to ask business questions in plain language and receive accurate answers and relevant visualizations instantly. This AI-powered capability makes data exploration more intuitive and accessible to non-technical users.
8. Qlik Sense:
Qlik Sense combines low-code simplicity with powerful analytics, featuring an associative engine that enables free-form data exploration. The platform connects multiple data sources into a unified view, while AI assistance aids in data prep and dashboard creation. Its comprehensive capabilities span self-service visualization, guided analytics, embedded reporting, and mobile solutions.
Key Features:
- Drag and drop builder: Simplifies dashboard creation with intuitive interface for arranging visual elements without coding
- Extensive library of pre-built dashboards and reports: Ready-to-use templates for common business scenarios, speeding up implementation
- Robust data modeling capabilities: Advanced tools for creating relationships between datasets and complex calculations
- Integration with the Microsoft ecosystem: Seamless connectivity with Office 365, SharePoint, and other Microsoft tools for unified data analysis
Conclusion
The best dashboard software is the one that best suits your business needs and requirements. Each tool has its own pros and cons, and it is important to go through them in detail and see how the challenges map up to your business circumstances. Ask for a clear proof of concept with the tools you are exploring, and this would give you a good understanding of how good their support and customer service really is. If you are looking for an embedded BI dashboard that you can showcase as a feature to your own customers. It’s important to understand the different embedded analytics tools in the market today and how they differ from a feature POV versus an internal analytics dashboard tool that we’ve discussed here.
