10 Best Dashboard Software Solutions (2024)

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Software dashboards are critical instruments that help enterprise users grasp large datasets, glean hidden insights, monitor operations in real-time, and make predictions to gain a competitive edge. From business intelligence platforms to data visualization tools, the leading dashboard solutions on the market are geared for facilitating data-driven decision-making and analysis using familiar visual elements and compelling interfaces. We compared the most popular dashboard software solutions on the market to see how they stack up across various feature sets and benefits—here are our top picks:

• Best for Built-In Analytics and Support: Tableau
• Best for Visualizations and Included Library/Templates: Grafana
• Best for Integrations/Datasources: Google Looker Studio
• Best for Pricing: Microsoft Power BI
• Best for Third-party Connectors: Klipfolio
• Best for Multi-Channel Sharing: Geckoboard
• Best for Pricing Options: Databox
• Best for a Wide Range of Use Cases: Qlik
• Best for Ease-of-Use: Metabase
• Best for AWS Cloud Infrastructures/Services: Amazon QuickSight

Read on to find more details about each of our picks, how they compare on features and price, and how we chose them.

Top Dashboard Software Comparisons at-a-Glance

In evaluating the top dashboard solutions, we considered five key, composite elements: pricing, core features, vendor profile, support, integrations, and additional features.

Jump to:

• Dashboard Software Comparison Criteria
• Key Features of Dashboard Software and Tools
• Choosing the Best Dashboard Software For Your Business
• Frequently Asked Questions (FAQ)

Our list of top dashboard software solutions ranges from barebones data visualization tools for quickly charting graphic data to fully-fledged enterprise business intelligence (BI) platforms with sophisticated data analytics and visuals. Here’s a more detailed look at each of our 10 picks.

Google Looker Studio: Best for Data Sources

Previously known as Google Data Studio, Looker Studio is Google’s re-imagined dashboard solution for building visually compelling reports, dashboards, and informative data visualization elements. The tool brings together previous Data Studio features with Looker’s new business intelligence capabilities under the same platform, with integrated core Google technologies such as artificial intelligence and machine learning (AI/ML).

With more than 800 different data sources and more than 600 data connectors, Google Looker Studio is the ideal tool for syncing all your organization’s data sources into a streamlined, unified reporting interface. The solution also comes with its own modeling language, LookML, for creating semantic data models.

Pricing

• Free and paid (Pro) versions—different licenses for Viewer, Standard, and Developer users ($30-125 per user, per month)

Features

• Integration with Google Sheets
• Support for more than 50 SQL databases
• LookML modeling language for creating semantic data models
• Easy-to-use merging capability for different data sources

Pros

• Full-featured free version
• Many available templates, data sources, and integrations
• Seamless interoperability across Google’s Suite

Cons

• Developer license is expensive
• Only Pro version offers additional collaboration capabilities for larger teams
• Add-on integrations priced individually (can get expensive if using many add-ons

Tableau: Best for Built-In Analytics

A veteran dashboard developer, Tableau and its data visualization platform were acquired by enterprise cloud CRM giant Salesforce back in 2019. Since then, the product has continued to dominate in the data visualization market category.

For Salesforce users, this is a clear win-win. Tableau’s native Salesforce connector allows for a streamlined Salesforce-to-Tableau integration. On its own, Tableau’s powerful real-time data visualizations have for years made it a go-to for advanced graphical capabilities—a reputation it continues to hold to this day.

Pricing

• Viewer, Explorer, and Creator subscription levels ($15-70 per user, per month, billed annually)

Features

• Powerful, high-performance analytic engine for gleaning insights from cloud and relational databases, spreadsheets, OLAP cubes, and more
• In-memory data connections to both live and external data sources
• Desktop and online versions available
• Advanced security with Active Directory and Kerberos

Pros

• Streamlined Salesforce integration
• User-friendly interface designed for non-developer users
• Advanced visualization capabilities and pre-installed map data
• Works well in both desktop and mobile versions

Cons

• Relatively high cost (and no unlimited free version)
• Lack of full-fledged business intelligence tools (e.g, large-scale reporting, static layouts)
• Steep learning curve for non-analyst users

Klipfolio: Best for Third-Party Connectors

Klipfolio’s Software-as-a-Service (SaaS)-based dashboard and visualization platform is well-regarded for its wide array of pre-built dashboard options and clear, customizable visualization components derived from myriad data sources. The solution makes it easy to automate reporting capabilities, as well as integrate a broad enterprise toolset into the platform’s dashboards.

Some popular connectors that come with the solution include Asana, Dropbox, Eventbrite, Google Analytics, BambooHR, and Adobe Analytics.

Pricing

• Free and paid (Go, Pro, and Business Tiers at $90-800 per month)

Features

• Over 100 pre-built connectors and data connectivity to on-premises servers, spreadsheets, and cloud servers/assets
• Data visualizations/dashboard sharing via multiple messaging and social media platforms
• Custom data visualization tools like scatter plots, graphs, and charts for creating hyper-personalized dashboards

Pros

• Intuitive, easy-to-understand user interface
• Easy automation of data tracking, consolidation, and visualization for non-technical users
• Impressive visualizations and charting capabilities

Cons

• 10 MB limit on Klipfolio data sources
• Building customized reports (outside of predefined options) requires significant technical expertise
• User interface lacking in some customizable elements
• Larger datasets can cause performance issues

Geckoboard: Best for Multi-Channel Sharing

Geckoboard has established a reputation over the years for being a simple, no-nonsense tool for building and sharing business dashboards. The solution’s built-in widget and template library enable users to create visually compelling, insightful dashboards in a short amount of time, and the data visualization tool is especially adept for real-time tracking/monitoring/analysis of key performance indicators.

Geckoboard’s customizable interface can pull in over 100 data sources, including Salesforce, Tableau, Google Analytics, and Microsoft Power BI, to name a few—all without special coding or developer support.

Pricing

• Essential, Pro, and Scale Tiers ($39-559 per month). Limited 14-day free trial available.

Features

• Simple drag-and-drop dashboard editor
• Wizard assistant feature for quickly building effective visuals
• Multi-channel dashboard sharing/viewing via Slack, email, or any web browser
• Interesting “Send-to-TV” feature for creating freestanding dashboard kiosks

Pros

• Easy to configure and get up to speed with
• Cost-effective option for SMBs and individuals
• Live, in-browser support

Cons

• Limited in-built analytics
• Lack of fine tuning and adjustments (e.g., for displaying data fields)
• Lacks more advanced features like ad-hoc reporting

Databox: Best for Pricing Options

Databox is known for its powerful features for tracking and creating dashboards against high-level metrics, allowing for the contextualization of multiple data sources into a unified context. Of all the solutions reviewed, Databox offers the widest range of pricing options, including a free, non-expiring tier for rudimentary use cases.

Databox also offers unlimited dashboards and reports, unlike a few competing solutions that charge for additional dashboards or visualizations.

Pricing

• Offers four pricing tiers ($47-700 per month), with free option

Features

• Reports interface is intuitive and easy-to-use for both self-service and standard reports
• Wide range of built-in chart and graph formats
• Score cards let you visually track key performance indicators (KPIs)

Pros

• Unlimited (free forever) version available
• Controls are customizable
• Excellent mobile app

Cons

• Setup is involved and can take time
• Historical data limitations

Qlik: Best for a Wide Range of Use Cases

The QlikView platform has long been a favorite of data professionals working in a variety of industries, from accounting and IT to healthcare and pharmaceuticals. Now known as Qlik Sense, the leading business intelligence platform is ideal for enterprises looking to access powerful analytics, interactive dashboards, and sophisticated business intelligence and data analysis capabilities.

Pricing

• $30 per month for Qlik Sense Business, enterprise pricing is quote-based. Free, limited trial version available

Features

• Augmented analytics
• Visual data prep
• SaaS/Multi-cloud capabilities
• Machine learning toolkit identifies a wide range of KPIs

Pros

• Easy to create custom reporting dashboards for ad-hoc analyses
• Automated workflows and visual (low-code) workflow design tools
• Powerful extract, transform, load (ETL) capabilities

Cons

• Some reported performance issues with large datasets
• Limited pricing options (enterprise can be costly)
• Solution can be challenging for non-technical users, despite visual tools
• Limited number of data sources

Microsoft Power BI: Best for Pricing

It’s safe to say that most business users are familiar with Microsoft Power BI. As the leading data visualization and business intelligence solution by market share, Power BI has a massive footprint across myriad industries and organization types, from SMBs and enterprises in the private sector to government and educational institutions.

As a data analytics platform, the solution offers a wealth of easy-to-use features for collecting, analyzing, and visualizing data.

Pricing

• $10 per user for Power BI Pro; $20 per user for Power BI Premium; $20 per user or $4,995 per month per Power BI enterprise

Features

• Customizable dashboards and tiles
• “Ask a Question” natural language search
• Azure ML-powered features and integration
• Microsoft Data Analysis Expression (DAX) Library—more than 200 functions in the Power BI function library

Pros

• Seamless integration with the Microsoft Ecosystem (e.g., Excel, PowerApps, and SharePoint)
• Easy to create highly interactive and engaging reports, dashboards, or graphics from Excel files, SQL databases, BI warehouses, Cloud data, APIs, web pages
• Cost-effective option for individual and professional users

Cons

• Limited data sharing capabilities
• Some performance issues with handling large data sources
• May not be suitable for large/complicated data sets or real-time analytics

Like a few of the offerings already covered, Metabase is an open source solution for querying and visualizing data sourced from a data pipeline or warehouse. The streamlined platform is known for its ease-of-use and low learning curve, with most tasks and configurations carried out via drop-and-drop interactions—no SQL required.

Pricing

• Starter to Pro tiers ($85-500 per month); Enterprise also available (custom pricing, starts at $15,000 per year)

Features

• Easy monitoring/alert setup
• Customizable “on-click” dashboard behaviors for creating unique interactions
• Data instruments like a customizable data dictionary and editing tools for metadata curation

Pros

• Low learning curve and highly accessible for non-technical users
• Clean, easy-to-understand user interface
• Data project collaboration features for sharing visualized data across different teams

Cons

• No ad-hoc reporting and benchmarking
• Lacks advanced analytics capabilities
• More expensive than competing solutions

Amazon Quicksight: Best for AWS Cloud Infrastructures/Services

Compared to the other solutions on this list, Amazon QuickSight is a relatively new contender in the dashboard and data visualization arena; that said, native integration within AWS’ environment makes it a rising favorite among AWS cloud’s massive user base.

As a cloud-native solution, QuickSight accels in use cases that involve large datasets but require only basic dashboard creation capabilities.

Pricing

• Standard edition, $9 per user, per month; Enterprise edition pricing per user type (e.g., authors, readers)

Features

• One-click public embedding for coding/development-free embedding of dashboards into public applications, wikis, and portals
• Built-in integration with QuickSight Q, AWS’ ML-powered business intelligence service
• Includes Amazon’s super-fast parallel in-memory calculation engine (SPICE) for quickly querying large datasets

Pros

• Advanced dashboard capabilities via seamless integrations with other AWS services (e.g., Amazon CloudWatch for real-time monitoring of QuickSight assets)
• Highly scalable for enterprises with an expansive cloud-based data estate and large data consumer/user base
• Support for virtually any internet-accessible database or data source

Cons

• Limited visualization capabilities—even with its built-in visualization engine
• Moderate selection of basic charts and graphs
• Limited amount of embedded analytics

Grafana: Best for Data Visualizations

True to its open source roots, Grafana’s data visualization platform is available for free download or as a SaaS-based cloud application; in the case of the latter, a “free forever” access tier allows for free perpetual use of a scaled-down version of the full-blown solution.

Grafana is known for its advanced visualizations and sophisticated, highly customizable dashboards and charts.

Pricing

• Free Forever, Pro and Advanced Tiers ($29 per month and $299 per month)

Features

• Robust monitoring and alert management system
• Automated PDF and email-based reports
• Robust data security and governance capabilities to meet compliance requirements (e.g., SOC2, ISO 27001, PCI, GDPR, CSA, HIPAA)
• Load testing capabilities using Grafana K6, an open-source tool and cloud service for testing performance at scale

Pros

• Easy-to-use, intuitive user interface and powerful visualizations
• Plugins available for hooking up virtually any storage array or operating system
• Streamlined alert and notification workflow with built-in integration to collaboration channels

Cons

• Adaptive alerts and capacity planning via Grafana ML only available in Pro/Advanced versions
• Deeper customizations require technical expertise and programming (e.g., JSON, SQL)
• Data storage not included in the cloud service

Dashboard Software Evaluation Criteria

We considered five key composite criteria when evaluating dashboard solutions: pricing, core features, vendor profile, support, and integrations. We also considered additional features. Percentages represent the weight of the total score for each product.

Core Features | 20 Percent

Of course, a dashboard software’s primary purpose is to provide data-driven visualizations—its visualization capabilities are therefore a critical measure of its core feature set. Other core feature considerations include the breadth of its built-in chart/graphic component library, the degree to which its user interface (UI) is customizable, collaboration features such as social sharing, and built-in analytics (if any).

Pricing | 20 Percent

In evaluating the top ten dashboard software solutions, pricing considerations include the advertised cost, the price of add-ons and options, available pricing tiers, any upgrades or discounts, and whether a free tier and/or trial version is available.

Vendor Profile | 15 Percent

Several attributes of the vendor’s profile are important when your organization’s data is on the line. We considered the size and name recognition of the vendor’s customer base, the vendor’s length of time in business, its business type (e.g., new startup or established software player), the breadth of its product suite, and reputation (e.g., data breaches, privacy incidents, acquisitions).

Support | 15 Percent

In a perfect world, hooking up your data and pressing a button would yield impressive dashboards and visualizations out of the gate. Unfortunately, software solutions can pose many difficulties, and a competent dashboard solution should offer numerous customer support options. These include email, live chat, self-service options (e.g., knowledgebase, service outage dashboards), as well as phone/premium support.

Integrations | 15 Percent

No software is (or should be) an island entirely to itself. A dashboard solution should offer ample plugins and/or a component library, as well a lively ecosystem of third-parties, developers, and related resources. Further, the components and plugins should provide a reasonable degree of usability and utility.

Additional Features | 15 Percent

Aside from core features, additional features help to bolster/strengthen the overall dashboard offering—for example, built-in social functionality and sharing allow for the easy dissemination of your visualizations. Additionally, AI/ML-powered functionality (if any), regularity and cadence of software updates, and the availability of an on-premises option are also key additional features.

Key Features of Dashboard Software and Tools

Dashboard software solutions can vary drastically in terms of their functionality and relative strengths/weaknesses. For example, some lean toward a more barebones graphing/charting solution with minimal connectors, while others are full-blow business intelligence platforms capable of generating powerful visual analytics.

Generally, the following are key features of dashboard software to focus on when evaluating potential solutions:

Built-In Analytics

A crucial feature that most—but not all—dashboard solutions offer is built-in analytics: this could range from simple, automated custom report generation to advanced insights driven by AI/ML. Keep in mind that larger cloud-based offerings like Tableau and Amazon QuickSight more often provide integrations to both native and third-party analytics engines and machine learning services.

Visualization Library and Templates

By and large, users are looking to get up-and-running as fast as possible to maximize ROI. Candidate desktop solutions should offer a library of pre-built visualization templates to draw from; this allows for the shortest time to value when it comes to creating the most commonly used visualizations and reports.

Data Sources and Plugins

Like pre-built templates, the more data sources and plugins the better—however, in this case, more data sources and plugins mean better connectivity to external and/or disparate data sources, allowing for richer context and deeper insights. Be sure to verify that the potential dashboard solution offers plugins and connectors to your specific data sources.

Data Security and Management

Data security and management should always be top-of-mind when it comes to dashboard software. However, these concerns may be more or less relevant depending on the solution and use case. For example, some solutions offer no data storage, while others offer both an on-premises and cloud version (storage inclusive). Firms that must comply with strict customer or legal requirements for data should evaluate dashboard solutions with more comprehensive data security and governance capabilities.

Subscription Plans and Options

Aside from the handful of on-premises dashboard solutions, most of the offerings covered previously are subscription-based and offer various tiers/levels. Ideally, the potential dashboard solution(s) will offer a range of plans to suit your business requirements.

Frequently Asked Questions (FAQs)

Do dashboard software offer DIY and build-your-own integrations with third-party applications?

Yes, but many solutions allow you to get up-and-running quickly with built-in connectors. BI users and analysts aren’t necessarily developers, and may not know how to (and arguably shouldn’t) write code to build dashboards.

Are dashboard software options suitable for both small businesses and enterprises?

Yes, but enterprises should select a dashboard solution with more in-built analytics and extensive visualization capabilities. Larger organizations are likely to have more diverse datasource requirements across their data estates.

How secure are the data and insights stored within dashboard software tools?

This depends on the vendor—some SaaS-based dashboard solutions rely on the underlying cloud provider (e.g., AWS, Microsoft Azure) for metered data storage. In these cases, you should validate both direct and third-party attestations regarding compliance and adherence to local data privacy laws.

Do dashboard tools come in an installed desktop version?

Some do, but most offerings these days are accessible as a SaaS offering. For today’s data requirements and data sources, the ability to scale using the cloud is necessary.

I have a limited dataset and small use case. Do any of these vendors offer a completely free version?

Many dashboard vendors (e.g., Google Looker Studio, Databox, Grafana) offer a completely free, albeit limited version of their solutions. Tableau comes in a free form, Tableau Public, available for open public use. Other solutions typically provide a 14-day or one month free trial.

Do any of these dashboard software solutions offer AI/ML capabilities ?

Yes, many do—but AI/ML could drive varying components of the dashboard software offering. For example, some platforms build in AI-driven assistance to guide users in creating the right reports/visualizations, while others are capable of drawing strategic inferences from predictive models derived from connected datasets.

I’m concerned about vendor lock-in. Are any of these solutions open source?

A few of these solutions come in open source form. For example, both Kibana and Grafana started out as open source projects and evolved into large scale business offerings after gaining wide adoption across enterprises. Their codebases are still maintained and freely available on GitHub.

Bottom Line: Dashboard Software Solutions

Dashboard software solutions help data professionals move beyond static rows and columns to dynamic, highly intuitive visual instruments for understanding data, engaging with it, and gleaning new insights. With the prominence of AI/ML in today’s business landscape, you can expect the emergence of new dashboard solutions to address increasingly novel and diverse requirements for data visualization, processing, and management. When selecting the best one for your organization’s needs, the “best-for” use cases highlighted here are a good head start to help you find the right solution for the right price.

Read next: The Best Tools for Data Visualization