19 Best Data Visualization Software in 2025
10 Best Data Visualization Software Shortlist
Here's my pick of the 10 best software from the 19 tools reviewed.
Navigating the complexities of revenue operations isn't easy. You deal with mountains of data that need to be understood quickly and accurately. That's where data visualization software comes in. It turns raw numbers into clear visuals, making it easier for you and your team to make informed decisions.
I've tested and reviewed countless software solutions to help you find the best fit. In this article, I'll share my unbiased, well-researched top picks. You'll get insights into features, pros, and cons, helping you choose the right tool for your needs.
Stay with me as we explore options that can make your data work for you, not against you.
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Best Data Visualization Software Summary
This comparison chart summarizes pricing details for my top data visualization software selections to help you find the best one for your budget and business needs.
| Tool | Best For | Trial Info | Price | ||
|---|---|---|---|---|---|
| 1 | Best for Zoho customers. | 30-day free trial | From $24/user/month (billed annually) | Website | |
| 2 | Best for AI-driven marketing insights | 15-day free trial | From $42/month (billed annually) | Website | |
| 3 | Best for cross-database work | Free download available | From $199/user/first year (billed annually) | Website | |
| 4 | Best for creating infographics. | Free plan available | From $25/month | Website | |
| 5 | Best for data connections. | 30-day free trial | From $250/month (billed annually) | Website | |
| 6 | Best intuitive data analysis. | 14-day free trial | From $75/user/month (billed annually) | Website | |
| 7 | Best for beginners. | 30-day free trial for new users | Pricing upon request | Website | |
| 8 | Best customizable data dashboards. | Free trial + free demo available | Pricing upon request | Website | |
| 9 | Best for creating accessible data platforms. | 30-day free trial | From $5,000/month | Website | |
| 10 | Best self-service data visualizations. | Free trial + free demo available | Pricing upon request | Website |
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Prisync
Visit WebsiteThis is an aggregated rating for this tool including ratings from Crozdesk users and ratings from other sites.4.7 -
Expedite Commerce
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QuickBooks Online
Visit WebsiteThis is an aggregated rating for this tool including ratings from Crozdesk users and ratings from other sites.4
Best Data Visualization Software Reviews
Below are my detailed summaries of the best data visualization software that made it onto my shortlist. My reviews offer a detailed look at the key features, pros & cons, integrations, and ideal use cases of each tool to help you find the best one for you.
Zoho Analytics can integrate with other Zoho applications to help users collaborate and share data visualizations.
Why I picked Zoho Analytics: Organizations already using Zoho’s other applications will love the ability to unify various business analytics throughout their departments. Like other Zoho applications, Zoho Analytics has ready-made connectors for popular business systems, cloud drives, and databases. If you are familiar with Zoho, you might remember the AI assistant Zia, which the vendor created using AI, machine learning, and natural language processing. Zia helps users answer questions regarding data visualizations.
Zoho Analytics works for any sized business looking to create excellent data visualization from multiple sources and combine them together. The platform allows you to share and publish reports with team members and engage in conversations. Also, Zoho Analytics’ smart data alerts will notify you when it discovers any outliers and anomalies.
Zoho Analytics Standout Features and Integrations
Features include data analytics, performance metrics, predictive analytics, ad-hoc reports, data visualizations, profitability analysis, public and private dashboards, and high-volume data processing.
Integrations include Pipedrive, Stripe, Mortar, Zendesk, Salesforce, Mailchimp, Google Analytics, Slack, HubSpot CRM, Zoho CRM, Dropbox, Microsoft OneDrive, and Quickbooks.
Pros and cons
Pros:
- Creates in-depth data analysis reports.
- Useful help guides and tutorials.
- Easy to learn.
Cons:
- Mobile app is unintuitive.
- Customer support needs improvement.
New Product Updates from Zoho Analytics
Automation Connector Update
Zoho Marketing Automation's connector now includes modules like campaign open rates, sent dates, and geolocation for better insights into lead and campaign performance. More details at Zoho Flow Release Notes.
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DashThis is an automated marketing reporting tool that helps agencies, businesses, and nonprofits turn complex marketing data into clear, visual dashboards. With customizable templates and white-label options, it makes it easier to present performance results in a way that clients and teams can understand.
Why I picked DashThis: I included DashThis because of its AI Insights feature, currently in beta, which can provide actionable takeaways from raw marketing data. This makes it easier to identify what strategies are working and where adjustments may be needed. I also liked that DashThis doesn’t restrict the number of users or data sources, which is particularly useful if you’re managing multiple accounts or campaigns. The platform’s branded report options also make it a strong choice for agencies that need professional, client-ready dashboards.
DashThis Standout Features and Integrations
Features include customizable dashboards, automated reporting with preset templates, shareable reports via email or PDF, and white-label branding options.
Integrations include Google Ads, Google Analytics 4, Facebook Insights, Instagram Insights, LinkedIn Ads, Mailchimp, YouTube, Bing Ads, Pinterest Ads, SEMrush, TikTok Ads, and HubSpot.
Pros and cons
Pros:
- Wide range of integrations available
- Simplifies marketing analytics and reporting
- Affordable for small businesses and agencies
Cons:
- Limited customization for report design
- Aesthetic options may not meet all needs
New Product Updates from DashThis
DashThis Introduces AI Insights Pro for Smarter Marketing Analysis
DashThis introduces AI Insights Pro with Chat Mode and Dashboard Context to deliver more personalized and interactive marketing analysis. For more information, visit DashThis's official site.
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DbVisualizer gives you a unified way to explore, query, and manage virtually any database you use — whether you’re an analyst diving into reports, a developer juggling multiple data sources, or a DBA keeping everything running smoothly. With support for dozens of relational and NoSQL systems and a consistent interface across Windows, macOS, and Linux, it lets you treat all your data sources the same way.
Why I Picked DbVisualizer
I picked DbVisualizer because it offers universal database connectivity combined with flexible data browsing — meaning you can connect to nearly any database using JDBC and immediately start exploring schemas, tables, and data without needing a different tool per database type. Its ability to handle multiple simultaneous connections and treat disparate DBMSs through one UI is particularly valuable when your team uses a mix of relational and NoSQL databases. I like that you don’t have to fight with drivers or learn lots of vendor-specific tools. For teams that want a single, consistent database client regardless of backend, DbVisualizer fits neatly.
DbVisualizer Key Features
In addition to its core cross-database connectivity and management capabilities, DbVisualizer offers the following helpful features:
- Table Management: The Pro edition allows creating and altering tables, defining constraints, and exporting data in multiple formats, providing flexibility in data handling.
- Version Control for SQL Scripts: with built-in support for versioning scripts (branching, history, changes), you and your team can track modifications over time — handy when multiple people edit queries or database objects.
- Monitoring and Comparison: The Pro version enables users to monitor SQL results and compare editor buffers, facilitating performance tracking and data integrity checks.
- Security and Customization: The software includes strong password protection and customizable key bindings in the Pro version, ensuring data security and user preference adaptability.
DbVisualizer Integrations
DbVisualizer natively integrates with various databases such as Oracle, SQL Server, MySQL, PostgreSQL, SQLite, and more, allowing seamless connectivity and data management across different platforms.
Pros and cons
Pros:
- Includes visualization options (charts, graphs) for query results.
- Allows inline editing of data like a spreadsheet for quick changes.
- Works with a very wide range of databases via JDBC support.
Cons:
- No built-in workflow for data standardization, de-duplication, or master-record consolidation.
- Larger datasets can occasionally affect performance.
New Product Updates from DbVisualizer
DbVisualizer Adds Git Support, MongoDB CRUD, and UI Enhancements
DbVisualizer introduces Git support for database connections, expanded MongoDB functionality, Valkey support, and a redesigned interface. These updates improve collaboration, broaden database compatibility, and enhance usability across complex data environments. For more information, visit DbVisualizer's official site.
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Infogram is a drag-and-drop data visualization tool that allows anyone to create compelling infographics, reports, dashboards, and other vital business graphics.
Why I picked Infogram: This web-based tool is one of the most popular platforms for visualizing data. Infogram’s primary use is to help users create exciting and interactive infographics, dashboards, and reports by using data-driven information. The platform provides users with numerous graphic options to make infographics, including over 550 maps, 35 charts, 20 templates, and other pictures and icons.
Infogram is an excellent fit for anyone, from beginners new to creating data visualizations to large enterprises. The dashboard template library provides businesses with many visualization layouts that are perfect for tracking your data and identifying trends. It also offers many collaboration capabilities - you can invite team members to projects, set permissions, share project details, and collaborate in real time.
Infogram Standout Features and Integrations
Features include interactive maps and charts, reports, dashboards, online content publishing, infographics, social media posts, slides, and analytics.
Integrations include Desktop.com, Google Analytics, Dropbox, Microsoft OneDrive, Google Drive, Shift, Azquo, and Turtl.
Pros and cons
Pros:
- No coding skills are required.
- Drag and drop editor.
- Handles multiple data sources.
Cons:
- Some customization limitations.
- Not many integrations are available.
Klipfolio can access and combine data from hundreds of connections without writing unnecessary code.
Why I picked Klipfolio: It can retrieve and combine your data from multiple sources and create data models by using its pre-built instant metrics. These sources include spreadsheets, files, databases, and web service application connections. Klipfolio allows you to import, edit, and analyze data to get exact, comprehensive insights. You can display your data using one of the platform’s pre-built visualizations from its Klip Gallery.
Klipfolio is a good fit for any business looking to visualize complex data formulas to resolve revenue challenges. The PowerMetrics tool doesn’t require coding expertise or technical help from a development team. You and your teams can share visualizations and reports through view-only links, scheduled emails, Slack messages, or PDFs.
Klipfolio Standout Features and Integrations
Features include performance metrics, visual analytics, data analysis, ad-hoc reports, public and private dashboards, data discovery, dashboard creation, and filtered views.
Integrations include Jira, Freshdesk, BambooHR, SendGrid, Twilio, Pipedrive, Recurly, New Relic, FreshBooks, Stripe, Basecamp, Zendesk, Salesforce, and Google Analytics.
Pros and cons
Pros:
- Dashboards fit any device.
- Extensive knowledge base.
- Excellent customer support.
Cons:
- Formula editing is complex.
- Steep learning curve.
Tableau provides built-in visual best practices that enable limitless visual data exploration that doesn’t interrupt analysis flow.
Why I picked Tableau: Thanks to the platform’s flexibility and power, users can develop statistical modeling to build visualizations, explore data, and share insights. You can do all this in just a few clicks and by asking questions using Tableau’s natural language processing and artificial intelligence. It will save you and your team’s time by immediately producing the visual output everyone needs while also providing high-security levels with a guarantee to resolve security issues as soon as they happen.
Tableau works for any sized company that needs a method to create nearly any type of data visualization. This includes simple charts to creative and interactive graphics. The vendor also provides extensive resources and knowledgebase that other Tableau users contribute to.
Tableau Standout Features and Integrations
Features include data management, virtual data connections, data governance, data lineage and quality, self-service data preparation, coordinated views, collaboration tools, and real-time data exploration.
Integrations include Salesforce, Google Analytics, Smartsheet, SurveyMonkey, Zoho Survey, Amplitude, Odoo, Normalyze, Aprimo, Data Sandbox, Pendo, Khoros, and Payscale.
Pros and cons
Pros:
- Handles vast amounts of data.
- User-friendly design.
- Excellent visualization capabilities.
Cons:
- Downloading data takes time.
- Steep learning curve.
Qlik provides business intelligence capabilities to help beginners and small organizations with discovery efforts.
Why I picked Qlik: The platform’s Qlik Sense tool provides an AI-powered tool that offers interactive dashboards and data visualizations. The QlikView tool combines all data sources to help you get the most from your data visualization and reporting. If you’re starting your data visualization journey, Qlik can help you uncover various data patterns.
Qlik is a cloud-based platform, so you can empower your teams to make better decisions with your data and create a data-driven organization. Qlik is an excellent option for any sized business that needs a tool to automatically clean and sort their data. It also provides AI capabilities that will help you analyze your data and understand the insights it discovers.
Qlik Standout Features and Integrations
Features include self-service visualizations, interactive dashboards, search and conversational analytics, embeddable analytics, visually-rich reports, alerts, mobile app, and geospatial analytics.
Integrations include SysAid, Spacewell, Smartsheet, Meisterplan, Sympa, Plika, Datameer, Embrace ERP, AppTweak, Mobisale, Quill, SurveyMonkey Enterprise, Centra, and CloudSwyft.
Pros and cons
Pros:
- User-friendly UI.
- Drag-and-drop tools.
- Automated action triggers.
Cons:
- Resizing visualizations loses details.
- Poor customer support.
Domo provides a simple interface that allows users to create custom data dashboards and other visualizations in just a few clicks.
Why I picked Domo: This is a cloud platform that helps you perform data analysis and create interactive, custom dashboard visualizations. It’s a low-code data visualization tool, meaning that anyone on your team can create a data dashboard to show your vital revenue metrics. When using Domo, you can combine text, cards, and images to your dashboard, which helps guide your audience through the data, so everyone is on the same page.
Domo works best for any sized business, especially small companies that wish to understand their data better and improve data-driven decision-making. Everyone in your team who needs to see your revenue data can do so when using this platform, not just data experts. The vendor also provides an extensive resource library to help everyone learn to use the software.
Domo Standout Features and Integrations
Features include raw data transformation, interactive visualizations, data change alerts, trend analysis, predictive insights, automated data discovery, natural language queries, and data security and governance.
Integrations include Marketo, Google Analytics, Stripe, Zendesk, Salesforce, Airtable, Xero, Aha, Constant Contact, Outreach, Expensify, and HubSpot.
Pros and cons
Pros:
- Powerful report generation capabilities.
- Easy to use.
- Creates professional data visualizations.
Cons:
- Some data connectors are complex.
- Sharing dashboards is challenging.
Looker allows organizations to create dynamic dashboard visualizations to filter information based on who is accessing it.
Why I picked Looker: The platform is a part of Google Cloud, which allows your teams to perform deeper data analysis of the information they need. You can use Looker to create accessible dashboards for multiple experiences. For example, your sales and finance leaders can access the platform for revenue data. In contrast, other external stakeholders can view other vital business intelligence.
Looker fits any sized business looking to access fresh data to stay on top of sudden company changes and perform the necessary actions to resolve challenges. You can share your data visualization from the platform by using any particular tool. You can also export your data files in any format right away.
Looker Standout Features and Integrations
Features include customized data-driven experiences, intuitive guidance, native mobile app, data import, report automation, project management, forecasting, and notifications.
Integrations include Stripe, Ally.io, Anvyl, Desktop.com, Hevo, Gigasheet, Zendesk, Salesforce, Mailchimp, Google Analytics, Slack, HubSpot, Dropbox, and Quickbooks.
Pros and cons
Pros:
- Quick to learn.
- Excellent customer support.
- Stunning visuals.
Cons:
- Not scalable.
- Can be slow to load.
Sisense can help users visualize data and summarize statistics, such as underlying trends and patterns.
Why I picked Sisense: The software helps anyone on your team prepare, analyze, and explore revenue data from multiple sources. Sisense’s self-service functionalities mean you can infuse analytics into your workflows to enhance vital business decisions. The vendor believes every company will be data-driven and every product will relate to data. So, they provide various analytics tools to teams to make their organizations data-driven.
Sisense works best for larger organizations with enormous datasets working in any industry. It helps you be creative with your data visualizations by adding engaging and personalized graphics to keep your audience’s interest. Also, the platform’s AI can help you easily forecast future revenue data according to your historical details. The flexible forecast features allow you to change a parameter to see how it will impact your future values.
Sisense Features and Integrations
Features include embeddable analytics, predictive analysis, data modeling, data exploration and automation, natural language processing, rules-based automation, data warehousing, and profitability analysis.
Integrations include Desktop.com, Hevo, Zendesk, Salesforce, Google Analytics, Slack, Box, Quickbooks, Xero, Hive, Shift, Snowflake, Recruitee, and Accern.
Pros and cons
Pros:
- Low-code or no-code tools.
- Connects to any data source.
- Share dashboards with multiple users.
Cons:
- Mobile version has performance issues.
- Reporting function needs improvement.
Other Data Visualization Software
Here are some additional data visualization software options that didn’t make it onto my shortlist, but are still worth checking out:
- Splunk Enterprise
Scalable data visualization tool.
- MicroStrategy
For drag-and-drop visualizations.
- SAP Crystal Server
For sharing personalized dashboards.
- Athenic
For AI-powered, conversational data insights
- Datawrapper
Open source data visualization tool.
- Whatagraph
For sharing data visualizations automatically.
- FusionCharts
Out-of-the-box data visualization codes.
- ChartBlocks
For importing data from anywhere.
- D3.js
JavaScript data library.
- Microsoft Power BI
For business intelligence data.
Data Visualization Software Selection Criteria
When selecting the best data visualization software to include in this list, I considered common buyer needs and pain points like ease of use and integration capabilities. I also used the following framework to keep my evaluation structured and fair:
Core Functionality (25% of total score)
To be considered for inclusion in this list, each solution had to fulfill these common use cases:
- Create charts and graphs
- Generate interactive dashboards
- Import data from multiple sources
- Export visualizations to various formats
- Share visualizations with team members
Additional Standout Features (25% of total score)
To help further narrow down the competition, I also looked for unique features, such as:
- Real-time data updates
- Advanced analytics and forecasting
- Customizable visual themes
- Integration with AI tools
- Mobile access and reporting
Usability (10% of total score)
To get a sense of the usability of each system, I considered the following:
- Intuitive user interface
- Ease of navigation
- Customization options
- Learning curve
- Aesthetic design
Onboarding (10% of total score)
To evaluate the onboarding experience for each platform, I considered the following:
- Availability of training videos
- Interactive product tours
- Access to templates
- Chatbot assistance
- Webinars for new users
Customer Support (10% of total score)
To assess each software provider’s customer support services, I considered the following:
- Availability of live chat support
- Comprehensive help center
- Response time to inquiries
- Availability of phone support
- Access to community forums
Value For Money (10% of total score)
To evaluate the value for money of each platform, I considered the following:
- Pricing relative to features offered
- Availability of free trials
- Flexible pricing plans
- Discounts for annual subscriptions
- Cost compared to competitors
Customer Reviews (10% of total score)
To get a sense of overall customer satisfaction, I considered the following when reading customer reviews:
- Overall satisfaction ratings
- Feedback on ease of use
- Comments on customer support
- Reports on software reliability
- User recommendations
How to Choose Data Visualization Software
It’s easy to get bogged down in long feature lists and complex pricing structures. To help you stay focused as you work through your unique software selection process, here’s a checklist of factors to keep in mind:
| Factor | What to Consider |
|---|---|
| Scalability | Will the software grow with your business? Check if it handles large data volumes and supports more users as your needs increase. |
| Integrations | Does it connect with your existing tools? Ensure it integrates with your CRM, databases, and other essential platforms to avoid manual data entry. |
| Customizability | Can you tailor it to fit your workflow? Look for options to customize dashboards, reports, and user permissions to match your team's requirements. |
| Ease of use | Is it user-friendly? Opt for software with an intuitive interface to minimize training time and improve adoption across your team. |
| Implementation and onboarding | How smooth is the setup process? Evaluate the time and resources needed for implementation, including any support or training provided by the vendor. |
| Cost | Is it within your budget? Compare pricing plans, watch for hidden fees, and consider long-term costs vs. benefits. |
| Security safeguards | How does it protect your data? Look for features like encryption, user access controls, and compliance with data protection regulations. |
| Support availability | Will you get help when needed? Check for 24/7 support options, response times, and the availability of detailed documentation or user communities. |
Trends
Data visualization software is becoming more sophisticated, offering advanced functionalities that cater to a wider range of business needs, particularly in managing revenue operations. Here is an analysis of the current trends based on recent product updates, press releases, and release logs:
Integration and Interoperability:
- Seamless Data Integration: Enhanced capabilities for integrating diverse data sources, providing a unified view that is crucial for comprehensive revenue analysis.
- Cross-Platform Compatibility: Increasing emphasis on ensuring that data visualization tools work seamlessly across different platforms and devices, enabling users to access insights anywhere, at any time.
Advanced Analytical Features:
- Predictive Analytics: Integration of predictive analytics into data visualization tools, allowing businesses to forecast trends and make proactive decisions.
- Automated Insight Generation: Use of AI to automatically identify and highlight key data points and trends, reducing the time needed for manual analysis.
Innovative Visualization Types:
- Immersive Visualizations: Introduction of VR and AR technologies to create immersive data visualization experiences, offering new perspectives on data analysis.
- Real-Time Data Streaming: Capabilities for visualizing streaming data in real time, enabling immediate response to emerging trends and issues.
Collaboration and Sharing:
- Enhanced Collaboration Features: Tools that facilitate collaboration among team members, including shared dashboards and interactive reports, which are crucial for aligning revenue operation strategies.
- Secure Sharing Mechanisms: Improved security features for sharing data visualizations, ensuring that sensitive revenue data is protected while enabling informed decision-making across teams.
These trends reflect the growing recognition of the strategic value of data visualization in driving business success, particularly in the context of revenue operations. When selecting a data visualization tool, organizations should consider these trends to ensure they choose a solution that will remain relevant and valuable in the face of rapid technological change.
What Is Data Visualization Software?
Data visualization software is a tool that turns raw data into visual formats like charts, graphs, and dashboards. Professionals like analysts, marketers, and executives use these tools to better understand data and make informed decisions. Features like real-time data updates, integrations, and customizability help with analyzing complex datasets and sharing insights. Overall, these tools make data easier to interpret and act upon.
Features
When selecting data visualization software, keep an eye out for the following key features:
- Real-time data updates: Allows users to see the most current data, helping make timely decisions.
- Interactive dashboards: Enables users to explore data through clickable charts and graphs for deeper insights.
- Integrations: Connects seamlessly with other tools like CRMs and databases to centralize data.
- Customizability: Lets users tailor visualizations to fit specific needs and branding.
- User-friendly interface: Simplifies navigation and reduces the learning curve for new users.
- Data import/export options: Facilitates easy transfer of data into and out of the software for reporting.
- Security safeguards: Protects sensitive data through encryption and access controls.
- Mobile access: Offers data access on-the-go, ensuring users can check insights from anywhere.
- Advanced analytics: Provides tools for forecasting and in-depth data analysis to support strategic planning.
Benefits
Implementing data visualization software provides several benefits for your team and your business. Here are a few you can look forward to:
- Improved decision-making: Visual insights help teams quickly understand data trends and make informed choices.
- Enhanced collaboration: Interactive dashboards allow team members to share insights easily and work together more effectively.
- Time savings: Automated data updates and integrations reduce manual data entry and reporting effort.
- Better data comprehension: Visual formats like charts and graphs simplify complex data, making it easier to interpret.
- Increased accessibility: Mobile access ensures users can view and analyze data from anywhere, at any time.
- Scalability support: As your business grows, the software can handle larger datasets and more users without a hitch.
- Data security: Strong security features protect sensitive information, maintaining data integrity and compliance.
Costs & Pricing
Selecting data visualization software requires an understanding of the various pricing models and plans available. Costs vary based on features, team size, add-ons, and more. The table below summarizes common plans, their average prices, and typical features included in data visualization software solutions:
Plan Comparison Table for Data Visualization Software
| Plan Type | Average Price | Common Features |
|---|---|---|
| Free Plan | $0 | Basic charts, limited data sources, and community support. |
| Personal Plan | $10-$30/user/month | Customizable dashboards, multiple data source integration, and email support. |
| Business Plan | $50-$100/user/month | Advanced analytics, priority support, collaboration tools, and mobile access. |
| Enterprise Plan | $100+/user/month | Full customizability, real-time data updates, dedicated account manager, and enhanced security features. |
Data Visualization Software FAQs
Here are some answers to common questions about data visualization software:
What are the types of data visualization software?
Why is data visualization important?
What Other Data Analytics Tools Should I Use?
What’s Next:
If you're in the process of researching data visualization software, connect with a SoftwareSelect advisor for free recommendations.
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