# Best Data Visualization Tools - Page 19

*By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)*


Data visualization tools and software translate data and metrics into charts and graphs to help companies track business metrics and key performance indicators (KPIs) in real time so they can better understand performance and goals. These can be delivered and displayed in various formats, including charts, graphs, reports, and dashboards. These tools help translate quantitative data and metrics into easy-to-understand visualizations. In regards to dashboards, there are various forms of visuals that one can create and view, such as scorecards and easy-to-interpret visualizations of company data to follow the trends and KPIs. Many data visualization software provides drag-and-drop functionality and other non-technical capabilities, so the average business user can build necessary dashboards. However, some do offer the ability to create dashboards using code. [Data visualization](https://www.g2.com/glossary/data-visualization-definition) software can consume data from many sources, including file uploads, databases, and business applications. Connecting certain applications or databases may require some IT involvement or coding knowledge.

Dashboards with real-time data are particularly helpful to allow business users to understand business applications and systems, such as [ERP systems](https://www.g2.com/categories/erp-systems) and [CRM software](https://www.g2.com/categories/crm). However, in some cases, one might want to export these visualizations to share them as reports via email or other communication channels. This can be helpful if one is looking to send a targeted overview of data to busy executives or clients. In addition, these tools can be used to craft visualizations, such as charts and graphs, that can be exported in various formats, such as PNG and JPEG, to create content with visualizations of data. This content creation can often be accomplished collaboratively, allowing users to collaborate across devices and device types. Users looking for tools solely focused on diagramming can look to [diagramming software](https://www.g2.com/categories/diagramming) to build flow charts, floor plans, and more.

The [best data visualization tools](https://learn.g2.com/best-data-visualization-software) are specifically designed to benchmark and visualize important metrics and are not intended to be used for robust, complicated data analysis. While some data visualization products may offer drill-down or data-joining functionality, their primary purpose is to provide dashboards and visualizations to monitor business-critical data. Users looking for analysis-specific tools should look to [analytics platforms](https://www.g2.com/categories/analytics-platforms). Analytics platforms, specifically of the self-service variety, can help businesses query and visualize their data without the need for IT support. Finally, business users and developers who are interested in embedding their visualizations in applications can use [embedded business intelligence software](https://www.g2.com/categories/embedded-business-intelligence) to accomplish this goal.

To qualify for inclusion in the Data Visualization Tools category, a product must:

- Consume data from a variety of sources through file uploads, database querying, and application connectors
- Provide visual representation of key performance indicators





## Top Data Visualization Tools at a Glance
| # | Product | Rating | Best For | What Users Say |
|---|---------|--------|----------|----------------|
| 1 | [Canva](https://www.g2.com/products/canva/reviews) | 4.7/5.0 (6,439 reviews) | No-code visual storytelling with brand-consistent templates | "[Canva keeps becoming much more than a design tool](https://www.g2.com/survey_responses/canva-review-13061098)" |
| 2 | [Looker](https://www.g2.com/products/looker/reviews) | 4.4/5.0 (1,583 reviews) | Governed self-service dashboards with LookML modeling | "[Transforms Data, But Challenging for Beginners](https://www.g2.com/survey_responses/looker-review-12784757)" |
| 3 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (1,003 reviews) | Multi-source data unification with no-code ETL visualization | "[Interactive Real-Time Dashboards That Make Complex Data Easy](https://www.g2.com/survey_responses/domo-review-13003120)" |
| 4 | [Data Studio](https://www.g2.com/products/data-studio/reviews) | 4.4/5.0 (456 reviews) | Google-native multi-source dashboard reporting | "[Looker Studio Makes Real-Time, Interactive Dashboards Effortless](https://www.g2.com/survey_responses/data-studio-review-12779274)" |
| 5 | [Elastic Stack](https://www.g2.com/products/elastic-stack/reviews) | 4.5/5.0 (105 reviews) | Centralized log visualization with real-time search | "[Powerful Centralized Log Management with Elastic Stack](https://www.g2.com/survey_responses/elastic-stack-review-12951407)" |
| 6 | [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) | 4.3/5.0 (521 reviews) | Real-time analytics on SAP-native in-memory data | "[Blazing-Fast In-Memory Performance with Seamless SAP Integration](https://www.g2.com/survey_responses/sap-hana-cloud-review-12419032)" |
| 7 | [AgencyAnalytics](https://www.g2.com/products/agencyanalytics/reviews) | 4.7/5.0 (446 reviews) | Multi-client dashboard reporting with cross-platform consolidation | "[Centralized Analytics and Stunning Branded Reports That Save Time](https://www.g2.com/survey_responses/agencyanalytics-review-13061053)" |
| 8 | [SAP Analytics Cloud](https://www.g2.com/products/sap-analytics-cloud/reviews) | 4.2/5.0 (750 reviews) | SAP-native BI, planning, and predictive dashboards | "[SAP Analytics Cloud Clean Dashboards and Powerful Real Time Analytics in One Place](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12817514)" |
| 9 | [Hurree](https://www.g2.com/products/hurree/reviews) | 4.8/5.0 (74 reviews) | Multi-source KPI dashboards with AI-driven insights | "[Game-Changer for Data-Driven Marketing Teams](https://www.g2.com/survey_responses/hurree-review-12533440)" |
| 10 | [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews) | 4.5/5.0 (848 reviews) | Native MongoDB data visualization and dashboarding | "[Flexible Document Model and Fast Development with MongoDB Atlas](https://www.g2.com/survey_responses/mongodb-atlas-review-12863051)" |

---
## What Are the Most Common Questions About Data Visualization Tools?
*AI-generated · Last updated: May 26, 2026*
### What is the best platforms for creating real-time visualization dashboards?
Based on G2 reviews, buyers looking for real-time visualization dashboards most often mention fast updates, centralized data access, and dashboards that are easy to share across teams. According to verified users, Looker is frequently used for live dashboards, real-time reporting, and centralized metric definitions that help teams stay aligned. G2 reviewers mention that users value the ability to refresh reports quickly, explore current data, and share dashboards with stakeholders without relying on manual reporting workflows. Reviewers also note some tradeoffs, including learning curve and occasional performance slowdowns with large or complex datasets, but recent feedback consistently highlights real-time visibility and operational reporting as core strengths for dashboard creation.

**Here are some of the top-rated products on G2:**

- [Looker](https://www.g2.com/products/looker/reviews/looker-review-12865135) – used for shareable dashboards, live reporting, and self-serve data exploration
- [Data Studio](https://www.g2.com/products/data-studio/reviews/data-studio-review-12779274) – supports real-time dashboard refreshes and interactive filtering across sources
- [Domo](https://www.g2.com/products/domo/reviews/domo-review-12844071) – helps teams monitor business performance with automated real-time dashboards


### Which visualization platform is best for non-technical users?
Based on G2 reviews, Canva stands out for non-technical users because reviewers consistently describe it as intuitive, beginner friendly, and quick to learn. According to verified users, Canva helps people without design expertise create presentations, infographics, flowcharts, and other visuals using templates and drag-and-drop tools. G2 reviewers mention that it reduces dependence on specialist designers and makes it easier for teams to create polished materials quickly. Reviewers also highlight collaboration features, brand kits, and ease of sharing as practical benefits for business teams. Some users note limits around advanced customization and large, complex projects, but the overall pattern in recent reviews strongly favors Canva for accessibility and ease of adoption.


### What is the top tools for visualizing big data?
Based on G2 reviews, tools used for big data visualization are most often praised for handling large datasets, connecting to warehouses, and keeping reporting centralized. G2 reviewers mention that Looker is commonly used when teams need to work with large historical data, complex reporting, and governed metrics across departments. According to verified users, it helps centralize reporting, make data more accessible, and support business users with shareable dashboards and self-service exploration. Reviewers also mention performance depends on data setup and that heavy dashboards can load slowly, but recent feedback still points to Looker as a strong option when organizations need scalable reporting tied to larger data environments.

**Here are some of the top-rated products on G2:**

- [Looker](https://www.g2.com/products/looker/reviews/looker-review-12563951) – centralizes large-scale reporting and supports analysis across warehouse data
- [Domo](https://www.g2.com/products/domo/reviews/domo-review-12276368) – used to process large volumes of data and deliver dashboards to end users
- [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews/sap-hana-cloud-review-12674293) – supports real-time analytics on massive datasets with fast in-memory processing


### Which is the best data visualization software for business intelligence?
Based on G2 reviews, Looker is the strongest fit for business intelligence because reviewers repeatedly describe it as a centralized analytics platform for dashboards, governed metrics, and self-service reporting. According to verified users, it helps organizations unify inconsistent reporting, create trusted definitions for metrics, and share dashboards across teams. G2 reviewers mention its strengths in data modeling, integrations, and reporting automation, especially for organizations that want one source of truth for analytics. Users also note tradeoffs, including a learning curve and occasional latency with large datasets, but the recurring theme in recent reviews is that Looker supports business intelligence workflows well by making data more consistent, shareable, and actionable.


### What is the best data visualization platforms for enterprise analytics?
Based on G2 reviews, enterprise analytics buyers often prioritize scalability, centralized reporting, and the ability to connect multiple systems. According to verified users, Looker, Domo, and SAP HANA Cloud are all used in enterprise settings to support reporting, dashboard sharing, and cross-functional visibility. G2 reviewers mention Looker for governed analytics and self-service exploration, Domo for centralizing data and enabling collaboration across departments, and SAP HANA Cloud for real-time processing and unifying large data environments. Reviewers also mention that implementation complexity and cost can be considerations for enterprise tools, but recent reviews consistently show these products helping larger teams move away from fragmented reporting and toward more reliable decision-making.

**Here are some of the top-rated products on G2:**

- [Looker](https://www.g2.com/products/looker/reviews/looker-review-12355012) – supports governed self-service analytics and centralized metric definitions
- [Domo](https://www.g2.com/products/domo/reviews/domo-review-12802484) – centralizes data from multiple business systems for enterprise reporting and collaboration
- [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews/sap-hana-cloud-review-12644611) – unifies large-scale data and enables real-time analytics for enterprise operations


### What is the top-rated data visualization software for self-service analytics?
Based on G2 reviews, self-service analytics tools are valued when business users can explore data without waiting on technical teams. G2 reviewers mention Looker for helping non-technical users explore trusted data through centralized models and dashboards, while Data Studio is often praised for simple dashboard creation and flexible sharing. According to verified users, these tools reduce manual reporting work and make it easier for teams to answer recurring questions on their own. Reviewers also call out learning curve and performance considerations depending on setup, but the common pattern is that self-service works best when dashboards are shareable, filters are easy to use, and reporting is centralized rather than scattered across files and platforms.

**Here are some of the top-rated products on G2:**

- [Looker](https://www.g2.com/products/looker/reviews/looker-review-12280633) – lets non-technical users explore governed data safely and build reports faster
- [Data Studio](https://www.g2.com/products/data-studio/reviews/data-studio-review-12560231) – helps users create and share dashboards with automated updates and multi-source reporting
- [Omni Analytics](https://www.g2.com/products/omni-analytics-inc-omni-analytics/reviews/omni-analytics-review-12334498) – supports self-service analysis with consistent metrics for analysts and business users


### Which platform offers the most advanced visualization types?
Based on G2 reviews, Looker reviewers frequently point to the breadth of charting and data exploration options, including graphs, maps, pivots, filters, and interactive dashboard components. According to verified users, it supports a wide range of visualization needs for analytics teams that want to move beyond basic charts and into more detailed exploration. G2 reviewers mention value in being able to customize views, compare metrics, and work with diverse reporting elements from one platform. At the same time, some users note that visualization customization still has limits and that more flexibility would be welcome. Even with those caveats, recent reviews suggest Looker offers one of the broadest visualization ranges in this review set.


### What is the top tools for creating interactive data dashboards?
Based on G2 reviews, interactive dashboard tools are usually described in terms of filters, sharing, customization, and live exploration. According to verified users, Data Studio is widely used for interactive dashboards that let teams adjust date ranges, apply filters, and explore multiple views in one report. G2 reviewers mention that it helps combine data sources into clear, shareable dashboards and reduces manual reporting by keeping reports updated. Reviewers also note that performance may slow with larger datasets or more complex blends, but recent feedback consistently highlights ease of interaction, flexibility, and collaborative sharing as key strengths for dashboard creation and ongoing reporting workflows.

**Here are some of the top-rated products on G2:**

- [Data Studio](https://www.g2.com/products/data-studio/reviews/data-studio-review-12779274) – creates interactive dashboards with filters, date controls, and multi-source reporting
- [Looker](https://www.g2.com/products/looker/reviews/looker-review-12773945) – supports interactive dashboards for exploration and client-facing reporting
- [Domo](https://www.g2.com/products/domo/reviews/domo-review-12676104) – offers interactive dashboards and real-time visibility across connected data sources


### What is the best tools for combining data visualization with storytelling?
Based on G2 reviews, Canva is frequently used when teams need visuals that communicate information clearly rather than just display data. According to verified users, it helps turn reports, presentations, and investor or leadership updates into more polished visual stories through templates, brand controls, and easy editing. G2 reviewers mention use cases such as annual reports, investor updates, roadmap visuals, presentations, and content creation, all of which suggest a strong storytelling fit. Reviewers also note collaboration benefits and ease for non-designers, while acknowledging that advanced customization can be limited. Overall, recent reviews position Canva as a practical choice for combining visual communication, presentations, and storytelling-oriented content.

**Here are some of the top-rated products on G2:**

- [Canva](https://www.g2.com/products/canva/reviews/canva-review-12701529) – helps teams create polished reports and investor updates with easy visual editing
- [Visme](https://www.g2.com/products/visme/reviews/visme-review-11314830) – supports reports, presentations, and data visuals with built-in charts and templates
- [Count](https://www.g2.com/products/count/reviews/count-review-12337355) – combines analysis, collaboration, and storytelling for guided data exploration


### Which data visualization tool integrates with the most data sources?
Based on G2 reviews, Looker is one of the strongest options when broad data connectivity matters. According to verified users, it is used with Google products, marketing platforms, data warehouses, APIs, and multiple reporting sources to centralize information in one place. G2 reviewers mention integrations with marketing channels, sheets, warehouse environments, and broader cloud ecosystems, along with the ability to combine disconnected reporting into shareable dashboards. Reviewers also note that setup quality matters and that some connectors or blended datasets can be challenging, but recent reviews consistently describe Looker as a practical hub for bringing multiple data sources together for analytics, reporting, and visualization workflows.




## G2 Grid® for Data Visualization Tools
![G2 Grid® for Data Visualization Tools plotting products by satisfaction and market presence](https://www.g2.com/categories/data-visualization-tools/grids.png?focus%5B%5D=4400&focus%5B%5D=5048&focus%5B%5D=604&focus%5B%5D=22648&focus%5B%5D=18493&focus%5B%5D=16446&focus%5B%5D=1251&focus%5B%5D=35854)
Highlighted products: Canva, Looker, Domo, Data Studio, Elastic Stack, AgencyAnalytics, SAP HANA Cloud, and SAP Analytics Cloud.
Underlying data: [Grid® JSON](https://www.g2.com/categories/data-visualization-tools/grids.json?focus%5B%5D=canva&focus%5B%5D=looker&focus%5B%5D=domo&focus%5B%5D=data-studio&focus%5B%5D=elastic-stack&focus%5B%5D=agencyanalytics&focus%5B%5D=sap-hana-cloud-2025-10-01&focus%5B%5D=sap-analytics-cloud)


## How Many Data Visualization Tools Products Does G2 Track?
**Total Products under this Category:** 471

### Category Stats (Jul 2026)
- **Average Rating**: 4.43/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product**: UniFi (+1.49%) - Among all products in this category, UniFi recorded the largest rating increase compared to last month
*Last updated: July 08, 2026*


## How Does G2 Rank Data Visualization Tools Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 24,500+ Authentic Reviews
- 471+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.


## Which Data Visualization Tools Is Best for Your Use Case?

- **Leader:** [Canva](https://www.g2.com/products/canva/reviews)
- **Highest Performer:** [Swydo](https://www.g2.com/products/swydo/reviews)
- **Easiest to Use:** [Canva](https://www.g2.com/products/canva/reviews)
- **Top Trending:** [Abacum](https://www.g2.com/products/abacum/reviews)
- **Best Free Software:** [Canva](https://www.g2.com/products/canva/reviews)


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---

## What Are the Top-Rated Data Visualization Tools Products in 2026?
### 1. [STAQ](https://www.g2.com/products/operative-staq/reviews)
STAQ is Operative’s data intelligence platform that automates the collection, normalization, and activation of advertising data across more than 400 media platforms. It unifies revenue, spend, and inventory data into standardized, actionable datasets, enabling teams to generate accurate reports and performance insights. With powerful APIs and seamless integrations, STAQ connects to the most widely used ad platforms and supports custom connections to proprietary systems. Users can access real-time reporting, custom reconciliation outputs, and anonymized benchmark data from publishers generating over $3 billion in ad revenue. STAQ helps media organizations centralize their data workflows and make consistent, data-driven decisions across sales, operations, and strategy.



**Who Is the Company Behind STAQ?**

- **Seller:** [Operative](https://www.g2.com/sellers/operative)
- **Year Founded:** 2000
- **HQ Location:** New York, New York, United States
- **Twitter:** @Operative_Media (1,875 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/operative (799 employees on LinkedIn®)






### 2. [Stimulsoft Dashboards Cloud](https://www.g2.com/products/stimulsoft-dashboards-cloud/reviews)
The Business Intelligence platform contains all the necessary tools for preparing, analyzing, and visualizing data. You can easily combine all your data and display it in the form of interactive and stylized dashboards, share it with anyone in a way convenient for you.



**Who Is the Company Behind Stimulsoft Dashboards Cloud?**

- **Seller:** [Stimulsoft](https://www.g2.com/sellers/stimulsoft)
- **Year Founded:** 2002
- **HQ Location:** Tallinn, EE
- **Twitter:** @Stimulsoft (275 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/stimulsoft (20 employees on LinkedIn®)






### 3. [Supadash](https://www.g2.com/products/supadash/reviews)
Supadash is an AI-powered data visualization platform that enables users to effortlessly create interactive dashboards and charts from their existing databases or REST APIs. By connecting your data source, Supadash automatically generates insightful visualizations, eliminating the need for manual coding or complex SQL queries. This allows businesses and developers to quickly track key metrics and uncover trends, facilitating data-driven decision-making without the typical setup complexities. Key Features and Functionality: - Automated Dashboard Generation: Instantly create comprehensive dashboards by connecting your database, with support for PostgreSQL and REST APIs. - AI-Driven Insights: Leverage artificial intelligence to transform raw data into easily understandable charts and graphs. - User-Friendly Interface: Navigate through an intuitive platform designed for users of all technical backgrounds. - Real-Time Data Visualization: Monitor and analyze data trends as they occur, ensuring timely insights. - Customizable Metrics: Tailor dashboards to focus on the specific metrics that matter most to your business. Primary Value and Problem Solved: Supadash addresses the challenge of complex and time-consuming data visualization processes. By automating the creation of dashboards and charts, it empowers users to gain immediate insights from their data without the need for coding expertise. This streamlines the analytics workflow, enhances productivity, and enables organizations to make informed decisions swiftly.



**Who Is the Company Behind Supadash?**

- **Seller:** [Supadash](https://www.g2.com/sellers/supadash)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 4. [SutiDAnalytics](https://www.g2.com/products/sutidanalytics/reviews)
SutiDAnalytics helps to get a web-based business reporting and analytics solution for generating real-time reports and intuitive dashboards from a centralized location.



**Who Is the Company Behind SutiDAnalytics?**

- **Seller:** [SutiSoft](https://www.g2.com/sellers/sutisoft-c3cc51f3-e243-4075-8113-cd3c23187452)
- **Year Founded:** 2009
- **HQ Location:** Sunnyvale, CA
- **Twitter:** @sutisoft (3,031 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/157124/ (274 employees on LinkedIn®)






### 5. [Synthetix AI Dashboarding](https://www.g2.com/products/synthetix-ai-dashboarding/reviews)

**Who Is the Company Behind Synthetix AI Dashboarding?**

- **Seller:** [Synthetix AI](https://www.g2.com/sellers/synthetix-ai)
- **Year Founded:** 2024
- **HQ Location:** Paris, FR
- **LinkedIn® Page:** https://www.linkedin.com/company/synthetix-ai-ch/ (5 employees on LinkedIn®)






### 6. [SystemLink Cloud](https://www.g2.com/products/systemlink-cloud/reviews)
SystemLink Cloud enables you to deploy custom web applications to the cloud so you can share measurement data with stakeholders in a mobile-friendly, secure browser. You can also create drag-and-drop, web-based dashboards with bidirectional communication between the cloud and existing applications to provide instantaneous access to live systems and tests. SystemLink Cloud is an NI-hosted service in a secure environment, which eliminates the need for your team to manage web server configuration and security.



**Who Is the Company Behind SystemLink Cloud?**

- **Seller:** [NI](https://www.g2.com/sellers/ni)
- **Year Founded:** 1976
- **HQ Location:** Austin, TX
- **Twitter:** @NIglobal (26,204 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3433 (7,957 employees on LinkedIn®)
- **Ownership:** NASDAQ: NATI






### 7. [Think Blue Data](https://www.g2.com/products/think-blue-data/reviews)
Think Blue Data is a software development company specializing in transforming complex datasets into intuitive and insightful visualizations. Established in 2012, the company offers tailored solutions that integrate seamlessly with clients' existing data and document management systems, ensuring alignment with their unique branding and style. Key Features and Functionality: - Insightful Visualizations: Utilizes interactive maps, charts, and diagrams to simplify and explore large datasets. - Engaging Storytelling: Employs customized views and animated transitions to highlight key insights. - Streamlined Workflows: Develops well-defined UX/UI designs and prototypes to enhance data preparation and management. - Data Migration: Facilitates easy migration and export of data into desired formats. - Simplified Views: Transforms raw data into user-friendly interfaces. - Custom Branding: Applies clients' brand identities to all solutions. Primary Value and Solutions: Think Blue Data addresses the challenges of managing and interpreting complex, data-rich information by providing interactive and customized software solutions. Their services enhance productivity, offer deeper insights, and increase the impact of data through user-friendly visualizations and efficient workflows. By aligning solutions with clients' branding and operational needs, Think Blue Data ensures that organizations can effectively harness their data for informed decision-making and strategic planning.



**Who Is the Company Behind Think Blue Data?**

- **Seller:** [Think Blue Data](https://www.g2.com/sellers/think-blue-data)
- **Year Founded:** 2012
- **HQ Location:** Pakkred, TH
- **LinkedIn® Page:** http://www.linkedin.com/company/think-blue-data (15 employees on LinkedIn®)






### 8. [Timetoast](https://www.g2.com/products/timetoast/reviews)
Timetoast is a timeline maker for teams, educators, and professionals who need to turn events, milestones, and plans into clear, shareable timelines. Create project timelines, roadmaps, historical overviews, research timelines, and visual plans using structured data, custom fields, a spreadsheet-style grid, and multiple views, including horizontal timeline, vertical timeline, and grid view. Timetoast is simple enough for quick timelines, but flexible enough for business planning, education, research, and public-facing storytelling.



**Who Is the Company Behind Timetoast?**

- **Seller:** [Timetoast](https://www.g2.com/sellers/timetoast)
- **Year Founded:** 2007
- **HQ Location:** London, GB
- **LinkedIn® Page:** https://www.linkedin.com/company/timetoast (1 employees on LinkedIn®)






### 9. [TotalKPI](https://www.g2.com/products/totalkpi/reviews)
View all your KPIs in one dashboard. Overlay graphs and see correlations.



**Who Is the Company Behind TotalKPI?**

- **Seller:** [Valoks](https://www.g2.com/sellers/valoks)
- **Year Founded:** 2023
- **HQ Location:** Lolland Falster, DK
- **LinkedIn® Page:** https://www.linkedin.com/company/valoks (6 employees on LinkedIn®)






### 10. [Tower by Codygon](https://www.g2.com/products/tower-by-codygon/reviews)
Beautiful dashboards using AI Tower generates dashboards for you using AI. Just point it to your data and see the magic happen. You can chat with your charts to modify them or generate new charts. You can also add and modify the data for the charts by just chatting. No need to memorize complex formulae. Powered by a modern Gen AI tech stack, Tower is fast and dependable so that you can get the reports you need when you need them.



**Who Is the Company Behind Tower by Codygon?**

- **Seller:** [Codygon](https://www.g2.com/sellers/codygon)
- **Year Founded:** 2023
- **HQ Location:** Mumbai, IN
- **Twitter:** @CodygonTech (9 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/codygontech/about/ (4 employees on LinkedIn®)






### 11. [Una AI](https://www.g2.com/products/una-ai/reviews)
Una is an AI-Native Financial Budgeting, Planning, Forecasting, and Modelling software designed to help users drive execution in financial planning and analysis (FP&A). Unlike traditional FP&A tools that often rely on static data and rigid frameworks, Una offers a dynamic solution that adapts to the ever-changing needs of businesses. This innovative software empowers finance teams to move beyond mere analysis and instead focus on actionable insights that can influence outcomes and align strategies with real-time business conditions. Targeted primarily at finance professionals and organizations looking to enhance their planning processes, Una is particularly beneficial for companies that require agility in their financial operations. The software is designed for users who need to respond quickly to market changes, ensuring that their financial strategies remain relevant and effective. By integrating native AI capabilities, Una streamlines the planning process, allowing finance teams to create and adjust forecasts with ease, thus enabling more informed decision-making. Key features of Una include its AI-powered analytics, which provide real-time insights into financial performance, and its execution-focused planning capabilities. These features allow users not only to forecast potential outcomes but also to actively drive them through informed strategic adjustments. The software’s agile financial planning framework enables organizations to pivot quickly in response to changing market dynamics, ensuring that financial strategies are always aligned with current business realities. Additionally, Una stands out in the market by offering a user-friendly interface that simplifies complex financial data, making it accessible for users at all levels of expertise. This ease of use, combined with the software's robust performance metrics, allows finance teams to collaborate effectively and make data-driven decisions that enhance overall business performance. By focusing on execution rather than analysis alone, Una transforms how organizations approach financial planning, ultimately improving operational efficiency and strategic alignment.



**Who Is the Company Behind Una AI?**

- **Seller:** [Una AI](https://www.g2.com/sellers/una-ai)
- **Company Website:** https://www.una.ai/
- **HQ Location:** Toronto, Canada
- **LinkedIn® Page:** https://www.linkedin.com/company/una-software/ (30 employees on LinkedIn®)






### 12. [Verita](https://www.g2.com/products/verita/reviews)
Verita is a no-code dashboard builder that allows you to create interactive data visualizations using your existing REST APIs. Transform your raw data into meaningful insights with charts, graphs, and tables—all without writing a single line of code.



**Who Is the Company Behind Verita?**

- **Seller:** [Verita](https://www.g2.com/sellers/verita)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 13. [Visualizer](https://www.g2.com/products/visualizer/reviews)
Aria Visualizer is an analytics application that consolidates Genesys interaction events into an intuitive, interactive visual interface. It helps organizations understand their data, gain efficiency, and save time and money.



**Who Is the Company Behind Visualizer?**

- **Seller:** [Avtex](https://www.g2.com/sellers/avtex-9ccf6ee6-0884-4574-8f7b-b856ca229181)
- **Year Founded:** 1972
- **HQ Location:** Bloomington, MN
- **Twitter:** @avtex (1,135 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/avtex-solutions (168 employees on LinkedIn®)






### 14. [Visuant](https://www.g2.com/products/visuant/reviews)
OVERVIEW Visuant® connects metrics, meetings, and corrective actions linked to underperforming metrics into one execution management system—giving leaders real-time visibility, accountability, and alignment across the organization. Built on the proven Process Based Leadership® framework, Visuant turns performance data into measurable action and sustainable results. PROVEN CLIENT RESULTS • 20% increase in operating efficiency • 60% increase in performance goal awareness • 90% decrease in incidents over 3-year period • 50% decrease in time spent in meetings CLIENT TESTIMONIAL "The framework within Visuant allows us to cascade metrics and accountabilities so there is good visibility across the organization on what each level is doing and how it relates to the ultimate goals and strategies of the organization." - Workers' Compensation Insurance Provider



**Who Is the Company Behind Visuant?**

- **Seller:** [Competitive Solutions](https://www.g2.com/sellers/competitive-solutions)
- **Year Founded:** 1991
- **HQ Location:** Alpharetta, US
- **Twitter:** @CSIPBL (190 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/competitive-solutions-inc./ (30 employees on LinkedIn®)






### 15. [Vizta](https://www.g2.com/products/vizta/reviews)
Vizta is a next-generation business intelligence (BI) and data visualization platform designed to empower organizations of all sizes to make smarter, faster, and more data-driven decisions. Built to overcome the limitations of traditional spreadsheets and outdated BI systems, Vizta provides a seamless, intuitive interface for handling large-scale transactional databases with ease. Key features include: Drag-and-Drop Analytics Real-Time Data Integration AI-Powered Insights Custom Visualizations High Performance With Vizta, decision-makers no longer need to rely on limited reporting tools or face Excel's row restrictions. Its intuitive design, powerful analytics, and seamless integration make it the ultimate solution for transforming raw data into impactful business strategies.



**Who Is the Company Behind Vizta?**

- **Seller:** [Viz Labs](https://www.g2.com/sellers/viz-labs)
- **Year Founded:** 2023
- **HQ Location:** Gurgaon, IN
- **LinkedIn® Page:** https://www.linkedin.com/company/viz-labs/ (7 employees on LinkedIn®)






### 16. [Vizydrop](https://www.g2.com/products/vizydrop/reviews)
Vizydrop is a data visualization software that simplify visual data discovery and share charts.



**Who Is the Company Behind Vizydrop?**

- **Seller:** [Vizydrop](https://www.g2.com/sellers/vizydrop)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 17. [watsonx BI Assistant](https://www.g2.com/products/watsonx-bi-assistant/reviews)
IBM watsonx BI Assistant is an AI-powered business analyst and advisor designed to provide rapid, insightful answers to business questions. By leveraging advanced artificial intelligence, it enables users to understand past events, predict future outcomes, and receive actionable recommendations, all through a user-friendly, conversational interface. This empowers business users to make confident decisions swiftly, without the need for complex dashboards or extensive data analysis expertise. Key Features and Functionality: - Natural Language Interaction: Users can ask questions in everyday language and receive immediate, contextually relevant answers, eliminating the need for specialized training or technical skills. - AI-Driven Analytics: The assistant not only diagnoses past events but also predicts future trends and prescribes actionable strategies, offering a comprehensive analytical perspective. - Transparent Reasoning: Provides clear, step-by-step explanations of its analyses, ensuring users understand the basis of its insights and fostering trust in the decision-making process. - Semantic Automation: Automates data profiling, business term matching, and data modeling, reducing manual effort and enhancing data consistency across the organization. - Advanced Data Visualization: Offers customizable visualizations that can be tailored through conversational and graphical interactions, aiding in the clear communication of complex data. - Integration with Existing Tools: Seamlessly connects with platforms like Slack and Microsoft Teams, allowing users to access insights within their existing workflows and collaboration tools. Primary Value and User Solutions: Watsonx BI Assistant addresses the common challenge of complex and time-consuming data analysis by simplifying the process through AI-driven, natural language interactions. It democratizes access to business intelligence, enabling users across various roles to obtain timely and accurate insights without relying on data specialists. This leads to faster decision-making, improved operational efficiency, and a more agile response to business challenges. By providing a single source of truth through a centralized metrics catalog, it ensures data consistency and governance, enhancing the reliability of business insights.



**Who Is the Company Behind watsonx BI Assistant?**

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity (74,660 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®)
- **Ownership:** SWX:IBM






### 18. [Wet Dog Weather](https://www.g2.com/products/wet-dog-weather/reviews)
Wet Dog Weather processes weather data to provide comprehensive visualization from public repositories and proprietary models, giving unparalleled insights into current and future conditions. Our platform transforms raw data into engaging visuals, allowing you to grasp complex weather patterns and make informed decisions quickly. Our customers rapidly integrate and customize our web or mobile visuals into their offerings.



**Who Is the Company Behind Wet Dog Weather?**

- **Seller:** [WEt Dog Weather](https://www.g2.com/sellers/wet-dog-weather)
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** https://www.linkedin.com/company/wet-dog-weather (7 employees on LinkedIn®)






### 19. [Xapsys CRM](https://www.g2.com/products/xapsys-crm/reviews)
Xapsys create business software solutions including; - CRM - Live Business Intelligence - Live Planning systems and - E commerce sync software We offer a unique consultation service to tailor our systems to individual customer’s unique requirements, creating custom solutions without the usual costs attached. All of our modules are developed to be integrated with each other and with finance packages such as Sage, Xero and Quickbooks. Our goal is to make our customer’s work life easier, more profitable and therefore happier!


**Average Rating:** 4.5/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Xapsys CRM?**

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10)

**Who Is the Company Behind Xapsys CRM?**

- **Seller:** [Xapsys CRM](https://www.g2.com/sellers/xapsys-crm)
- **Year Founded:** 2015
- **HQ Location:** Leicester, GB
- **LinkedIn® Page:** https://www.linkedin.com/company/xapsys?originalSubdomain=uk (4 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market



#### What Are Recent G2 Reviews of Xapsys CRM?

**"[A unique ERP integrated CRM](https://www.g2.com/survey_responses/xapsys-crm-review-9378801)"**

**Rating:** 4.5/5.0 stars
*— Mayur N.*

[Read full review](https://www.g2.com/survey_responses/xapsys-crm-review-9378801)

---



### 20. [Yoroboard](https://www.g2.com/products/yoroboard/reviews)
Keep Tracking of Anything You Require to Get Done with Yoroboard Task board is a tool to represent work its way towards completion. You can configure many options in the Yoroboard to customize the look and feel of the task board.



**Who Is the Company Behind Yoroboard?**

- **Seller:** [Yorosis Technologies](https://www.g2.com/sellers/yorosis-technologies)
- **Year Founded:** 2013
- **HQ Location:** Plano, US
- **Twitter:** @yoroflow (50 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/yoroflow (6 employees on LinkedIn®)






### 21. [ZENPLOT](https://www.g2.com/products/zenplot/reviews)
ZENPLOT®, the Data Visualization software dedicated to advanced graphics. ZENPLOT® allows you to create impactful visualizations by stacking different graphic layers (histograms, scatterplots, line charts, bar charts etc.). The data can be linked to any characteristic of the different layers (color, shapes, etc.). The user also has the option of annotating visualizations with images, text or shapes while navigating through a user-friendly interface. Each graphic is then exportable to vectorial or standard format.



**Who Is the Company Behind ZENPLOT?**

- **Seller:** [Lumivero](https://www.g2.com/sellers/lumivero)
- **Year Founded:** 1995
- **HQ Location:** Denver, CO
- **Twitter:** @LUMIVER0 (399 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/76790/ (299 employees on LinkedIn®)







## What Is Data Visualization Tools?

[Business Intelligence Software](https://www.g2.com/categories/business-intelligence)

## What Software Categories Are Similar to Data Visualization Tools?

- [Analytics Platforms](https://www.g2.com/categories/analytics-platforms)
- [Embedded Business Intelligence Software](https://www.g2.com/categories/embedded-business-intelligence)
- [Marketing Analytics Software](https://www.g2.com/categories/marketing-analytics)


---

## How Do You Choose the Right Data Visualization Tools?

### What You Should Know About Data Visualization Tools

### What are Data Visualization Tools?

Data visualization tools are basic analytics platforms for business users to easily consume and interpret data, KPIs, and other critical metrics using dashboards. These dashboards can pull data from a number of sources, including databases and spreadsheets and other applications, such as [CRM](https://www.g2.com/categories/crm) systems and [digital analytics](https://www.g2.com/categories/digital-analytics) tools. Users can build a variety of visuals based on the data sets to easily track and measure important metrics. Such chart types include column charts, bar charts, pie charts, line graphs, tables, general tracking meters, maps for geographical data, and even just raw numbers.

Data visualization software is the most simplistic in the business intelligence category of software. They are built to display data in one central location instead of forcing employees to dig through different solutions to find important metrics. Business intelligence platforms, self-service business intelligence software, and embedded business intelligence software all contain more in-depth analytics features, such as drill-downs, and are most often used by analysts or data scientists. But for companies interested in displaying visual analytics dashboards, data visualization tools are the proper applications.

Setting up and implementing data visualization tools are relatively straightforward compared to implementing other business intelligence tools. It may require a bit of development knowledge to connect the product to a database or third-party application. However, if a non-developer is interested in building a visualization using a spreadsheet, implementation is basic.

Key Benefits of Data Visualization Tools

- Turn complex data into easily understandable graphics
- Track and visualize live and static metrics
- Monitor Key Performance Indicators (KPIs)
- Visualize and compare related metrics
- Provide various options to communicate complex information

### Why Use Data Visualization Tools?

The main reason for using data visualization is to track real-time data, metrics, goals, and KPIs. Businesses frequently set high goals, so tracking each metric as teams and companies progress is essential. By displaying data visualizations of each KPI, businesses can reinforce the importance of these goals and even help prioritize work based on which metrics need the most attention. General business metrics may include web traffic, revenue, and customer acquisition, among others. With data visualization products, it is easy to pull those business metrics from data sources such as digital analytics and CRMs, so that employees do not need to find them on their own.

Outside of this initial benefit of using data visualization software, another advantage is that data visualization tools help users easily understand critical business data. By using data visualization solutions, employees and businesses can easily interpret data. It makes the purpose of the information very evident to all users. If employees understand the business data, they can align around long-term goals and improve overall company growth.

Critical business data differs among every company and industry, so allowing for extensive customization is beneficial. There is no one-size-fits-all business dashboard; therefore, pulling data from a variety of sources is useful and necessary. When new employees start, it is helpful to understand said critical business data, and with the help of data visualization tools, that understanding is simplified.

Data visualization software also allows users to quickly and easily identify trends in business metrics. If certain metrics are not on pace to hit month-end, quarter-end, or year-end goals, companies can see that up front with data visualization tools. Businesses can adjust their strategies and methods for attaining goals based on how KPIs are tracked. Being able to react to data is an important overall strategy for greater business modernization and digital transformation.

### Who Uses Data Visualization Tools?

All employees have an opportunity to utilize data visualization tools; however, there are a number of roles that can use the solutions in different ways. For example:

**C-level executives –** C-suite employees utilize data visualization software such as KPI dashboards to keep a holistic view of all company goals and how they are progressing. Instead of checking in with every team or digging into disparate software for each KPI, a CEO can track all company metrics in one location. If a CFO wants to observe all financial metrics, data visualization is an option instead of going through accounting and CRM products to find necessary information. Additionally, C-level executives may take dashboards into board meetings to help illustrate how the company is performing as a whole.

[**Sales teams**](https://www.g2.com/categories/data-visualization/f/sales) **–** There are many use cases for sales teams when it comes to data visualization solutions, and not just to track revenue numbers or how many deals they have closed. Business development teams often connect [sales acceleration](https://www.g2.com/categories/sales-acceleration) tools as a data source to track how many calls each rep is making or how many meetings they are setting up. Sales managers can track individual account representatives’ performances to see how much revenue and deals each of their employees are closing, and how much they have in the pipeline. They may also set goals and determine how they are tracking on a quarterly or yearly progression. Displaying personal metrics with data visualization tools is one method to help motivate sales employees to hit their quotas.

[**Marketing teams**](https://www.g2.com/categories/data-visualization/f/marketing) **–** For marketers, data visualization solutions are ideal for recording real-time data regarding customer and prospect interactions. Users can pull specific digital analytics metrics, such as web traffic, and easily visualize progress. Additionally, marketers can see how email campaigns or advertising campaigns are progressing, whether that be open rates or how many impressions Facebook, Twitter, and other social advertisement campaigns are receiving. Businesses benefit by quickly visualizing conversion rates and cost-per-customer acquisition, among many other key marketing metrics.

**Customer service teams –** There are a variety of different instances where data visualization software is helpful for customer support teams, whether they be in a [contact center](https://www.g2.com/categories/contact-center) or receiving customer inquiries via a [help desk](https://www.g2.com/categories/help-desk), among other scenarios. Representatives at call centers can visualize the number of calls they have taken that day, how many calls are waiting to be answered, and how long the average call has been, among many other business-critical data points. For support teams that use a help desk, users benefit from data visualization by tracking how many tickets they have resolved and how many are still in their queues. [Customer success](https://www.g2.com/categories/customer-success) teams may choose to measure KPIs such as customer retention or churn rates to ensure they are maintaining the appropriate number of customers.

**Human resources teams –** Data is aplenty for recruiters and human resources professionals, so having a single dashboard to display the information is advantageous. [Recruiting](https://www.g2.com/categories/recruiting) coordinators can track how many applications have been submitted for specific roles or monitor how often the career page has been viewed. Other general human resources professionals use it to display [employee engagement](https://www.g2.com/categories/employee-engagement), whether that is an overall satisfaction of work life within a company or a gamification of certain tasks. Even third-party services such as Glassdoor may be a data source for businesses interested in tracking their rating at all times.

**Development teams –** If a business is responsible for running multiple applications and needs to track performance in real time, data visualization tools are an excellent way to keep tabs on all of them simultaneously. This allows development teams to react quickly to potential bugs or issues and ensure that performance is trending in the correct direction. Some data sources valuable to development teams include databases, public cloud [infrastructure as a service](https://www.g2.com/categories/infrastructure-as-a-service-iaas) offering, and [application performance monitoring](https://www.g2.com/categories/application-performance-monitoring-apm) software.

### Data Visualization Tools Features

While data visualization software might seem fairly straightforward, there are some features that impact the user experience with these tools. The main feature, and often most critical component buyers should look for when purchasing data visualization software, is which data sources the tool can integrate with and pull from. Most solutions can pull from SaaS applications, cloud and on-premise databases, and even solutions built in-house. But, if one of the main reasons for a company purchasing a data visualization software is to track marketing campaigns, but the tool cannot integrate with the marketing automation tool the business is already using, then it defeats the purpose.

Tracking real-time data is another important feature of data visualization software. Observing progress and trends in a business’ KPIs in real time ensures that employees can react and improve on strategies and methods.

Data visualization vendors often offer mobile functionality, so users can observe and track business metrics regardless of their physical location. In today’s business world, employees are often on the go, so the ability to see dashboards from mobile phones or tablets is convenient. This is important for C-level employees who might not always be in the office.

The ability to share [dashboards](https://www.g2.com/categories/data-visualization/f/dashboards) is another important feature of data visualization software. If a sales leader needs to send numbers to a company’s board of directors, easily emailing an entire dashboard is quick and easy. It is also beneficial to be able to share metrics internally with teams via email, if employees are unaware of how metrics are progressing.

Other features of data visualization software:[Charts and Graphs](https://www.g2.com/categories/data-visualization/f/charts-and-graphs), [Contact Center](https://www.g2.com/categories/data-visualization/f/contact-center), [Education](https://www.g2.com/categories/data-visualization/f/education), [Finance](https://www.g2.com/categories/data-visualization/f/finance), [IT & Development](https://www.g2.com/categories/data-visualization/f/it-and-development), and [Reports](https://www.g2.com/categories/data-visualization/f/reports).

### Kinds of Data Visualization Tools

Some data visualization solutions target specific industries or teams within a company, making them more unique than general data visualization software. A marketing team may opt to use a marketing analytics solution since they only want to visualize and track progress for specific marketing metrics. There are also sales analytics tools that only track sales metrics.

Additionally, many software products have some data visualization within them. For example, a CRM or help desk tool might have data visualization features, but they differ in the sense that these are simply features, not the product's main function.

### Software and Services Related to Data Visualization Tools

For business users interested in advanced analytics tools that contain more robust features, business intelligence tools are a step up from data visualization. Data analysts or data scientists most often utilize business intelligence platforms.

These platforms often require a good amount of coding or query language knowledge to access necessary data and transform it into visualizations. Self-service business intelligence solutions are aimed more at roles outside of analyst or data scientist, and allow users to perform analysis without a deeper knowledge of the back end. [Embedded business intelligence](https://www.g2.com/categories/embedded-business-intelligence) solutions may have self-service aspects, but these solutions embed the business intelligence capabilities within a third-party application.

The difference between business intelligence products and data visualization tools is that you can perform drill-downs and dig further into the data, right there in the business intelligence product with interactive data visualizations. Business intelligence tools focus more on exploratory data representations than just the raw data or metrics. Data visualization software is really just to see goals and track metric progress, not to dig into the data further and conduct deeper analysis.

For businesses that need to consume large data sets, [big data analytics](https://www.g2.com/categories/big-data-analytics) solutions may be the best option. These products pull mostly unstructured data from [big data processing and distribution](https://www.g2.com/categories/big-data-processing-and-distribution) systems, such as Hadoop, before putting them into big data analytics tools. These products require heavy development knowledge and are mostly utilized by data scientists at larger companies.