# Best Data Visualization Tools

  *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





## Best Data Visualization Tools At A Glance

- **Leader:** [Canva](https://www.g2.com/products/canva/reviews)
- **Highest Performer:** [Hurree](https://www.g2.com/products/hurree/reviews)
- **Easiest to Use:** [Canva](https://www.g2.com/products/canva/reviews)
- **Top Trending:** [Drivetrain](https://www.g2.com/products/drivetrain-drivetrain/reviews)
- **Best Free Software:** [Canva](https://www.g2.com/products/canva/reviews)


---

**Sponsored**

### TELUS Trade Promotion Management

TELUS Trade Promotion Management’s offerings (formerly Blacksmith Applications) are delivered via a SaaS platform that empowers consumer packaged goods (CPG) companies to get the most out of their trade promotions and accelerate trade spend performance across retail and foodservice channels. CPG companies use our offerings to improve trade spend, gain access to new insights and increase efficiency for sustainable business growth. You can rely on our tools and expertise with 25+ years of experience in the CPG industry. With TELUS TPM’s offerings, CPG companies can increase forecast accuracy; plan and approve trade spend; execute promotions; control finances; manage contracts, claims, deductions and analytics; and optimize trade promotions. Learn more at: https://telus.com/tpm Key features & benefits AI assistant Talk to your data like you talk to your colleagues with our AI Assistant. Get help, information and guidance instantly – in plain language. - Provides advanced system guidance: Ask questions and get easy-to-understand answers about promotions, system features and more. - Generates expert insights: Get on-demand and easy-to-understand insights into promotion data with plain-language prompts. Analyze ROI, trade spend and performance metrics. - Enhances user adoption: Skip the training manual and increase your team’s productivity with on-demand assistance. Advanced analytics Transform complex trade promotion data into actionable insights. Key features and capabilities include: - Pre-built dashboards: Get easy access to promotion P&L, forecast accuracy and performance metrics. Enjoy the seamless integration of analytics and core TPM functions. - Custom report builder: Quickly create tailored reports with an easy-to-use drag-and-drop interface. Dissect your data with advanced filtering, and export and share data insights across your teams instantly. - Advanced data exploration: Filter and analyze data across multiple dimensions with instant results. Generate reports with ease and track performance metrics quickly. - Role-based security: Customize views to ensure data compliance and governance. Enjoy secure data access management and consistent data governance across all users. Enterprise scalability TELUS Trade Promotion Management offers: 1. Support for complex global operations 2. Multi-retailer and multi-channel management 3. Integration with major ERP and data systems 4. Cloud-native architecture for rapid deployment 5. Multi-language and multi-currency support Operational advantages When you choose TELUS Trade Promotion Management’s offerings, you can count on: - Simplicity: Streamline your work with user-friendly software, automation, cloud-based hosting and an intuitive interface. - Support: Access a range of services that are designed to enable your team's success. - Scalability: Grow with our flexible and front-end configurable solutions. - Synergy: Power your processes across your sales journey – whether you’re in retail, foodservice or both. Getting started: 1. Dedicated customer success team with CPG industry expertise 2. Comprehensive training and certification programs 3. Pre-built integrations with major retailers and data providers 4. Best practice templates and industry benchmarks Ongoing support: 1. 24/7 global support with guaranteed response times 2. Regular platform updates and feature enhancements 3. User community and industry events 4. Quarterly business reviews and optimization consulting TELUS Trade Promotion Management enhancements We constantly enhance our products and services – guided by user feedback from our global customer base. Here are the latest changes to TELUS TPM: - AI assistant: Work efficiently, improve adoption, boost engagement and gain access to insights. Analyze your promotion ROI, trade spend and performance metrics in plain language. - Refined user interface: Work seamlessly with our enhanced user interface that was designed for efficiency and ease of use. - Advanced analytics and reporting: Analyze your data in detail with built-in reporting powered by Google Cloud Platform. Easily navigate complex data sets with our user-friendly interface. Use our role-based, self-service dashboards to make more data-driven decisions. - Mobile companion app: Access critical promotion details and approve programs on-the-go with just a few taps. Address issues away from your desk and give your in-field teams more flexibility than ever before. Transform your promotions Gain a competitive advantage with our proven technology and deep CPG industry expertise. Discover how TELUS TPM can elevate your promotional performance. Contact us: https://www.telus.com/agcg/en-ca/contact/sales?userGroup=consumer-goods&solution=trade-promotion-management-software



[Visit company website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=208&secure%5Bdisplayable_resource_id%5D=208&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=208&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=67404&secure%5Bresource_id%5D=208&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-visualization-tools%3Fopen_modal_url%3D%252Fproducts%252Fsisense%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fdata-visualization-tools%2526source%253Dcategory&secure%5Btoken%5D=3912afb56b8338adacee1386af1219543852e865145c0fe1e1e376e805e51010&secure%5Burl%5D=https%3A%2F%2Fwww.telus.com%2Fagcg%2Fconsumer-goods%2Ftrade-promotion-management-software%3Futm_source%3Dg2%26utm_medium%3Dreferral%26utm_campaign%3DCG_G226&secure%5Burl_type%5D=custom_url)

---

## Top-Rated Products (Ranked by G2 Score)
  ### 1. [Canva](https://www.g2.com/products/canva/reviews)
  Canva is an end-to-end AI-powered visual communication and collaboration platform empowering everyone in the world to design everything from presentations to infographics, videos, documents, websites, social media graphics and more. With pre-templated designs and thousands of stock images, videos, soundtracks, and fonts, Canva is a simple way to create visual content at scale. Canva is available on the web, iOS and Android.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 6,082

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.0/10)
- **Dashboards:** 9.1/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.7/10 (Category avg: 8.5/10)
- **Formats:** 9.2/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Canva](https://www.g2.com/sellers/canva)
- **Company Website:** https://www.canva.com/
- **Year Founded:** 2012
- **HQ Location:** Sydney
- **Twitter:** @canva (336,707 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2850862/ (13,716 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Owner, Marketing Manager
  - **Top Industries:** Marketing and Advertising, Information Technology and Services
  - **Company Size:** 66% Small-Business, 23% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (1742 reviews)
- Templates (1263 reviews)
- Features (1144 reviews)
- Easy Creation (1062 reviews)
- Template Availability (1055 reviews)

**Cons:**

- Limited Features (585 reviews)
- Limited Options (559 reviews)
- Missing Features (497 reviews)
- Expensive (473 reviews)
- Limited Customization (450 reviews)

  ### 2. [Looker](https://www.g2.com/products/looker/reviews)
  Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 1,553

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.0/10)
- **Dashboards:** 8.7/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.0/10 (Category avg: 8.5/10)
- **Formats:** 8.3/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google (31,840,340 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®)
- **Ownership:** NASDAQ:GOOG

**Reviewer Demographics:**
  - **Who Uses This:** Data Analyst, Data Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 60% Mid-Market, 20% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (126 reviews)
- Insights (75 reviews)
- Easy Integrations (70 reviews)
- Integrations (70 reviews)
- Data Visualization (62 reviews)

**Cons:**

- Learning Curve (58 reviews)
- Learning Difficulty (42 reviews)
- Slow Loading (36 reviews)
- Slow Performance (36 reviews)
- Complexity (32 reviews)

  ### 3. [Domo](https://www.g2.com/products/domo/reviews)
  Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and generate dynamic reports and visualizations—all within a single interface. With built-in AI and automation capabilities, teams can easily build and use AI agents, streamline workflows, and create tailored solutions.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 983

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.0/10)
- **Dashboards:** 8.3/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.3/10 (Category avg: 8.5/10)
- **Formats:** 8.6/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Domo](https://www.g2.com/sellers/domo)
- **Company Website:** https://www.domo.com
- **Year Founded:** 2010
- **HQ Location:** American Fork, UT
- **Twitter:** @Domotalk (63,693 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/25237/ (1,334 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Analyst, Business Analyst
  - **Top Industries:** Computer Software, Marketing and Advertising
  - **Company Size:** 49% Mid-Market, 29% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (248 reviews)
- Data Visualization (116 reviews)
- Intuitive (95 reviews)
- Easy Integrations (93 reviews)
- Integrations (88 reviews)

**Cons:**

- Learning Curve (66 reviews)
- Missing Features (59 reviews)
- Data Management Issues (55 reviews)
- Expensive (45 reviews)
- Complexity (43 reviews)

  ### 4. [Looker Studio](https://www.g2.com/products/looker-studio/reviews)
  Looker Studio offers self-service business intelligence with unmatched flexibility for smarter business decisions. Featuring connections to more than 1,000+ data sources, you can create highly visual, intuitive reports and share them with your team with consistent metrics. Looker Studio helps you tell impactful stories by creating and sharing engaging reports and data visualization, showcasing your business metrics and dimensions with intuitive smart reports, with automatic sharing for informed collaboation. Create meaningful, shareable, customizable, charts and graphs with just a few clicks, and now, with Duet AI in Looker, automatically generate reports, visualizations and slides and save countless hours.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 446

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10)
- **Dashboards:** 9.0/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.0/10 (Category avg: 8.5/10)
- **Formats:** 8.5/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google (31,840,340 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®)
- **Ownership:** NASDAQ:GOOG

**Reviewer Demographics:**
  - **Who Uses This:** Digital Marketing Specialist, Digital Marketing Manager
  - **Top Industries:** Marketing and Advertising, Computer Software
  - **Company Size:** 47% Small-Business, 36% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (23 reviews)
- Visualization (13 reviews)
- Easy Integrations (11 reviews)
- Data Visualization (9 reviews)
- Collaborative Sharing (8 reviews)

**Cons:**

- Limited Customization (9 reviews)
- Slow Performance (9 reviews)
- Slow Loading (6 reviews)
- Connectivity Issues (4 reviews)
- Limitations in Storage (4 reviews)

  ### 5. [AgencyAnalytics](https://www.g2.com/products/agencyanalytics/reviews)
  AgencyAnalytics is the only reporting platform designed specifically for marketing agencies. The easy-to-use platform saves you time, improves reporting processes, and impresses your clients with insightful reports and live, customizable marketing dashboards that showcase your full marketing impact. Connect and monitor each of your clients’ marketing channels in single, seamless dashboards. AgencyAnalytics integrates with over 80 platforms to track and report on SEO, PPC, Call Tracking, Social media, Email marketing, Ecommerce, Local, and more—all fully white-labeled for your agency. AgencyAnalytics also includes a suite of SEO tools designed to streamline and automate your agency. Track rankings daily, monitor backlinks, and keep up with the competition. Whether you’re an established agency or just getting started, AgencyAnalytics offers simple, flexible pricing for every stage of your agency's growth, starting at just $12 per client per month. Try it risk-free for 14 days, no credit card required.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 429

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.0/10)
- **Dashboards:** 9.3/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.8/10 (Category avg: 8.5/10)
- **Formats:** 8.9/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [AgencyAnalytics](https://www.g2.com/sellers/agencyanalytics)
- **Company Website:** https://agencyanalytics.com
- **Year Founded:** 2010
- **HQ Location:** Toronto
- **Twitter:** @agencyanalytics (4,022 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3309361/ (148 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Founder, CEO
  - **Top Industries:** Marketing and Advertising, Information Technology and Services
  - **Company Size:** 88% Small-Business, 8% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (64 reviews)
- Time Saving (49 reviews)
- Customer Support (48 reviews)
- User-Friendly (42 reviews)
- Integration Capabilities (39 reviews)

**Cons:**

- Integration Issues (31 reviews)
- Limited Features (14 reviews)
- Reporting Issues (13 reviews)
- Connection Issues (12 reviews)
- Learning Curve (12 reviews)

  ### 6. [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)
  SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learning and predictive tools grounded in modern data science. Its powerful in-memory performance safeguards efficient data processing. By securely storing vast amounts of data with its integrated multitier storage and handling various types on a single copy in its native multi-model database, SAP HANA Cloud simplifies data management and connects to other data sources. The seamless integration of these capabilities in a reliable, unified foundation makes it easier for developers to build high-demand intelligent data apps.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 508

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.0/10)
- **Dashboards:** 8.9/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.0/10 (Category avg: 8.5/10)
- **Formats:** 8.5/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Company Website:** https://www.sap.com/
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP (297,024 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/sap/ (141,341 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Consultant, SAP Consultant
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 61% Enterprise, 26% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (55 reviews)
- Easy Integrations (41 reviews)
- Integrations (40 reviews)
- Speed (39 reviews)
- Scalability (35 reviews)

**Cons:**

- Complexity (33 reviews)
- Expensive (32 reviews)
- Learning Curve (30 reviews)
- Difficult Learning (28 reviews)
- Complex Setup (20 reviews)

  ### 7. [Elastic Stack](https://www.g2.com/products/elastic-stack/reviews)
  The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data. - Kibana: An extensible user interface that provides powerful visualizations, dashboards, and management tools to interpret and present data effectively. - Beats and Logstash: Data ingestion tools that collect and process data from various sources, transforming and forwarding it to Elasticsearch for indexing. - Integrations: A multitude of pre-built integrations that facilitate seamless data collection and connection with the Elastic Stack, enabling quick insights. Primary Value and User Solutions: The Elastic Stack empowers organizations to harness the full potential of their data by providing a scalable and resilient platform for real-time search and analytics. It addresses challenges such as managing large datasets, ensuring high availability, and delivering relevant search results swiftly. By offering a unified solution for data ingestion, storage, analysis, and visualization, the Elastic Stack enables users to gain actionable insights, enhance operational efficiency, and make informed decisions based on their data.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 92

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 9.0/10)
- **Dashboards:** 9.0/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.3/10 (Category avg: 8.5/10)
- **Formats:** 8.7/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Elastic](https://www.g2.com/sellers/elastic)
- **Year Founded:** 2012
- **HQ Location:** San Francisco, CA
- **Twitter:** @elastic (64,492 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/814025/ (4,986 employees on LinkedIn®)
- **Ownership:** NYSE: ESTC

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 44% Mid-Market, 35% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (3 reviews)
- Flexibility (3 reviews)
- Log Management (3 reviews)
- Search Efficiency (3 reviews)
- Versatility (3 reviews)

**Cons:**

- Resource Management (3 reviews)
- Complexity Issues (2 reviews)
- Expensive (2 reviews)
- High Memory Usage (2 reviews)
- Learning Curve (2 reviews)

  ### 8. [SAP Analytics Cloud](https://www.g2.com/products/sap-analytics-cloud/reviews)
  With the SAP Analytics Cloud solution, you can bring together analytics and planning with unique integration to SAP applications and smooth access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated planning processes enterprise-wide to help you make decisions without doubt.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 729

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10)
- **Dashboards:** 8.8/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.0/10 (Category avg: 8.5/10)
- **Formats:** 8.7/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Company Website:** https://www.sap.com/
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP (297,024 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/sap/ (141,341 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Senior Consultant, Consultant
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 49% Enterprise, 28% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (68 reviews)
- Data Analysis (52 reviews)
- Data Visualization (51 reviews)
- Easy Integrations (40 reviews)
- Analytics (39 reviews)

**Cons:**

- Slow Performance (36 reviews)
- Learning Curve (35 reviews)
- Learning Difficulty (33 reviews)
- Performance Issues (32 reviews)
- Large Dataset Handling (30 reviews)

  ### 9. [Hurree](https://www.g2.com/products/hurree/reviews)
  Hurree is an AI-powered platform that consolidates all your reporting data into a single, easy-to-use command centre. It connects with over 70 popular tools, giving you a single, reliable view of performance across your business. With fully customizable dashboards, Hurree makes it simple for any team to track KPIs, monitor trends, and measure success with no technical skills required. At the heart of the platform is Riva, Hurree's built-in AI assistant. Riva doesn't just show you the numbers; it explains them. From instant summaries to predictive insights and actionable recommendations, Riva helps you understand what’s happening and what to do next. Hurree is built for teams who want better visibility, clearer reporting, and data they can actually use, without the complexity.


  **Average Rating:** 4.9/5.0
  **Total Reviews:** 77

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.0/10)
- **Dashboards:** 9.7/10 (Category avg: 9.0/10)
- **Steps to Answer:** 9.1/10 (Category avg: 8.5/10)
- **Formats:** 8.5/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Hurree](https://www.g2.com/sellers/hurree)
- **Company Website:** https://www.hurree.co/
- **Year Founded:** 2018
- **HQ Location:** Belfast, Antrim
- **Twitter:** @Hurree_me (902 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/hurree/ (47 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Marketing and Advertising
  - **Company Size:** 56% Small-Business, 40% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (349 reviews)
- Analytics (237 reviews)
- Data Visualization (185 reviews)
- Efficiency (169 reviews)
- Insights (164 reviews)

**Cons:**

- Learning Curve (118 reviews)
- Limited Customization (71 reviews)
- Limited Options (61 reviews)
- Missing Features (58 reviews)
- Learning Difficulty (55 reviews)

  ### 10. [Visme](https://www.g2.com/products/visme/reviews)
  Visme is a comprehensive visual content creation platform that assists teams in developing, managing, and scaling on-brand materials efficiently. It integrates essential features such as design tools, brand governance, collaboration capabilities, and analytics, enabling organizations to communicate their messages consistently and confidently across various channels and touchpoints. Targeted primarily at businesses, marketing teams, educators, and content creators, Visme serves a diverse audience that requires a streamlined approach to visual communication. The platform is particularly beneficial for teams that need to produce a wide range of content types, including interactive presentations, infographics, brand documents, and data visualizations. By providing a centralized solution for these needs, Visme helps users save time and resources while maintaining brand integrity. One of the standout features of Visme is its all-in-one design interface, which allows users to create visually appealing content without needing extensive design skills. The platform offers a rich library of templates, graphics, and design elements that can be easily customized to align with an organization’s branding. This flexibility not only enhances creativity but also ensures that all produced materials adhere to brand guidelines, fostering a cohesive visual identity. Additionally, Visme’s collaboration tools enable teams to work together seamlessly, regardless of their location. Users can invite team members to collaborate in real-time, provide feedback, and make edits, which streamlines the content creation process. The platform also includes analytics features that allow users to track engagement and performance metrics, providing valuable insights into how their content is received by the audience. This data-driven approach helps organizations refine their strategies and improve future content. Overall, Visme stands out in the visual content creation landscape by offering a robust set of features that cater to the diverse needs of modern teams. Its focus on efficiency, collaboration, and brand governance makes it a valuable tool for organizations looking to enhance their visual communication efforts while saving time and resources.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 467

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.0/10)
- **Dashboards:** 8.6/10 (Category avg: 9.0/10)
- **Steps to Answer:** 7.8/10 (Category avg: 8.5/10)
- **Formats:** 8.9/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Visme](https://www.g2.com/sellers/visme)
- **Company Website:** https://www.visme.co
- **Year Founded:** 2014
- **HQ Location:** Rockville, Maryland
- **Twitter:** @VismeApp (63,918 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/9176693/ (86 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** CEO, Founder
  - **Top Industries:** Marketing and Advertising, Education Management
  - **Company Size:** 69% Small-Business, 24% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (47 reviews)
- Features (33 reviews)
- Templates (31 reviews)
- Intuitive (29 reviews)
- Simple (29 reviews)

**Cons:**

- Limited Features (13 reviews)
- Missing Features (12 reviews)
- Limited Editing (9 reviews)
- Limited Options (9 reviews)
- Expensive (8 reviews)

  ### 11. [Coefficient](https://www.g2.com/products/coefficient/reviews)
  Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 175

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [Coefficient](https://www.g2.com/sellers/coefficient)
- **Company Website:** https://coefficient.io/
- **Year Founded:** 2020
- **HQ Location:** Palo Alto, CA
- **Twitter:** @coefficient_io (351 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/coefficientworks/ (70 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 49% Mid-Market, 35% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (72 reviews)
- Automation (42 reviews)
- Integrations (42 reviews)
- Time-saving (36 reviews)
- Easy Integrations (31 reviews)

**Cons:**

- Limited Features (18 reviews)
- Feature Limitations (17 reviews)
- Limitations (13 reviews)
- Missing Features (12 reviews)
- Integration Issues (11 reviews)

  ### 12. [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews)
  MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 346

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.0/10)
- **Dashboards:** 9.2/10 (Category avg: 9.0/10)
- **Steps to Answer:** 7.9/10 (Category avg: 8.5/10)
- **Formats:** 8.5/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [MongoDB](https://www.g2.com/sellers/mongodb)
- **Year Founded:** 2007
- **HQ Location:** New York
- **Twitter:** @MongoDB (502,561 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/783611/ (7,665 employees on LinkedIn®)
- **Ownership:** NASDAQ: MDB

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 56% Small-Business, 25% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (8 reviews)
- User Interface (7 reviews)
- Features (6 reviews)
- Scalability (5 reviews)
- Reliability (4 reviews)

**Cons:**

- Expensive Pricing (3 reviews)
- Unclear Pricing (3 reviews)
- Expensive (2 reviews)
- High Memory Usage (2 reviews)
- Latency Issues (2 reviews)

  ### 13. [Swydo](https://www.g2.com/products/swydo/reviews)
  Swydo’s easy-to-use reporting and monitoring platform retrieves data from multiple sources (Google Ads, Facebook, Google Analytics, and more (34+) ), helping marketers to create professional, customizable marketing reports or dashboards. The user-friendly tool allows digital marketers to generate (client or stakeholders) reports and dashboards combining external data sources in one report. Digital agencies, brands, and franchisors save time creating professional-looking reports while adding more value to analyzing data and gaining actionable insights to improve ROI.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 110

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.0/10)
- **Dashboards:** 9.7/10 (Category avg: 9.0/10)
- **Steps to Answer:** 9.0/10 (Category avg: 8.5/10)
- **Formats:** 8.8/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Swydo](https://www.g2.com/sellers/swydo)
- **Year Founded:** 2013
- **HQ Location:** Hilversum, NL
- **Twitter:** @swydo (1,355 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/swydo/ (24 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Digital Marketing Manager, Director
  - **Top Industries:** Marketing and Advertising
  - **Company Size:** 83% Small-Business, 11% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (45 reviews)
- Customer Support (30 reviews)
- Helpful (26 reviews)
- Time-saving (25 reviews)
- Insights (23 reviews)

**Cons:**

- Missing Features (8 reviews)
- Expensive (7 reviews)
- Lack of Information (6 reviews)
- Limited Customization (6 reviews)
- Integration Issues (4 reviews)

  ### 14. [Infogram](https://www.g2.com/products/infogram/reviews)
  Infogram is a data visualization company that helps people create infographics, reports, dashboards, maps, charts and social media assets. We show people how to communicate with data in a clear and engaging way. Launched in 2012, Infogram rapidly became the web’s favorite data visualization tool thanks to its simplicity, functionality and strong design aesthetic. We serve a wide range of customers including marketers, educators, journalists, consultants, and business professionals. We support people who see data as a powerful communication tool when visualized effectively. Infogram is used and loved by millions of people around the globe


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 178

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.0/10)
- **Dashboards:** 9.2/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.4/10 (Category avg: 8.5/10)
- **Formats:** 9.3/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Prezi](https://www.g2.com/sellers/prezi)
- **Year Founded:** 2009
- **HQ Location:** Oakland, California
- **Twitter:** @prezi (174,312 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/216295/ (253 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Education Management, Marketing and Advertising
  - **Company Size:** 51% Small-Business, 31% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (3 reviews)
- Charting (2 reviews)
- AI Integration (1 reviews)
- Automation (1 reviews)
- Customer Satisfaction (1 reviews)

**Cons:**

- Poor Visualization (1 reviews)
- Template Issues (1 reviews)

  ### 15. [Whatagraph](https://www.g2.com/products/whatagraph/reviews)
  Whatagraph is the easiest AI-powered marketing intelligence platform that turns complex marketing data into clear insights, instantly. Marketers use Whatagraph to connect all their channels, centralize reporting, and share impactful results - without needing technical expertise. Unlike legacy BI tools, third-party connectors, or code-heavy workflows, Whatagraph does the heavy-lifting with AI so you can focus on running impactful campaigns and growth.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 263

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.0/10)
- **Dashboards:** 8.6/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.7/10 (Category avg: 8.5/10)
- **Formats:** 8.9/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Whatagraph](https://www.g2.com/sellers/whatagraph)
- **Year Founded:** 2015
- **HQ Location:** Amesterdam, Netherlands
- **Twitter:** @whatagraph (1,280 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/9447253/ (56 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** CEO, Marketing Manager
  - **Top Industries:** Marketing and Advertising, Information Technology and Services
  - **Company Size:** 78% Small-Business, 18% Mid-Market


#### Pros & Cons

**Pros:**

- Customer Support (8 reviews)
- Automation (4 reviews)
- Customizability (4 reviews)
- Ease of Use (4 reviews)
- Easy Integrations (4 reviews)

**Cons:**

- Expensive (3 reviews)
- Slow Loading (2 reviews)
- Compatibility Issues (1 reviews)
- Connection Issues (1 reviews)
- Editing Issues (1 reviews)

  ### 16. [Pigment](https://www.g2.com/products/pigment-2024-01-19/reviews)
  Pigment is an AI business planning and performance management platform. Built for the complexity of modern enterprises, Pigment combines dynamic modeling with autonomous AI agents and an intuitive UX, to help teams make intelligent decisions with speed and clarity. Across finance, sales, supply chain, and other business functions, teams at companies like Unilever, Snowflake, Siemens, and Anthropic use Pigment every day to anticipate change, plan ahead, and act with confidence.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 101

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.0/10)
- **Dashboards:** 8.8/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.6/10 (Category avg: 8.5/10)
- **Formats:** 7.5/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Pigment](https://www.g2.com/sellers/pigment)
- **Company Website:** https://www.pigment.com/
- **Year Founded:** 2019
- **HQ Location:** Paris, FR
- **LinkedIn® Page:** https://www.linkedin.com/company/pigment/ (642 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** FP&A Manager
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 76% Mid-Market, 19% Enterprise


#### Pros & Cons

**Pros:**

- Flexibility (9 reviews)
- Features (8 reviews)
- Customer Support (7 reviews)
- Ease of Use (7 reviews)
- Automation (6 reviews)

**Cons:**

- Data Inaccuracy (3 reviews)
- Complexity (2 reviews)
- Complex Setup (2 reviews)
- Connectivity Issues (2 reviews)
- Formula Limitations (2 reviews)

  ### 17. [Count](https://www.g2.com/products/count/reviews)
  Count is a modern data collaboration platform that helps data teams actually work together. It combines a data notebook with a real-time collaborative canvas for analysis and visualisation, so everyone can query, debug, and explore data in one place. Count replaces the mess of disconnected tools with a single workspace where analysts, engineers, and stakeholders can write SQL or Python, build visualisations, and share insights instantly. You can import and debug dbt models, see live results from connected CTEs, and export back to dbt Cloud, GitHub, or full SQL scripts. Used by over 500 data teams, including Accenture, Cleo AI, and Too Good To Go, Count helps teams move beyond static dashboards and focus on solving real business problems. It’s data collaboration that actually works.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 101

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.0/10)
- **Dashboards:** 9.4/10 (Category avg: 9.0/10)
- **Steps to Answer:** 9.6/10 (Category avg: 8.5/10)
- **Formats:** 9.6/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Count Technologies](https://www.g2.com/sellers/count-technologies)
- **Company Website:** https://count.co/
- **Year Founded:** 2016
- **HQ Location:** London, United Kingdom
- **Twitter:** @counthq (2,098 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/counthq/ (29 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Analyst, Analytics Engineer
  - **Top Industries:** Financial Services, Information Technology and Services
  - **Company Size:** 80% Mid-Market, 10% Small-Business


#### Pros & Cons

**Pros:**

- Team Collaboration (34 reviews)
- Ease of Use (28 reviews)
- Customer Support (20 reviews)
- Flexibility (20 reviews)
- Data Visualization (19 reviews)

**Cons:**

- Learning Curve (18 reviews)
- Slow Performance (9 reviews)
- Limited Customization (7 reviews)
- Missing Features (7 reviews)
- Layout Issues (5 reviews)

  ### 18. [Omni Analytics](https://www.g2.com/products/omni-analytics-inc-omni-analytics/reviews)
  Omni is a business intelligence and embedded analytics platform that empowers everyone—regardless of technical ability—to easily analyze data using SQL, spreadsheets, AI, or point-and-click interfaces. It is built on a semantic layer that ensures every insight is accurate and dependable. Beyond powering internal analytics, Omni makes it easy for businesses to offer highly customizable in-product analytics to their customers. We build our product fast and in the open, with new features releasing every week. You can follow along by watching our public engineering demos at: omni.co/demos To learn more about how companies like BuzzFeed use Omni, check out: omni.co/customer-case-studies


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 64

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 9.0/10)
- **Dashboards:** 9.0/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.9/10 (Category avg: 8.5/10)
- **Formats:** 8.8/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Omni Analytics, Inc](https://www.g2.com/sellers/omni-analytics-inc)
- **Company Website:** https://omni.co/
- **Year Founded:** 2022
- **HQ Location:** San Francisco, CA
- **Twitter:** @omni (4,095 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/exploreomni/ (722 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 42% Small-Business, 41% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (14 reviews)
- Customer Support (10 reviews)
- Easy Integrations (8 reviews)
- Innovation (8 reviews)
- Data Visualization (7 reviews)

**Cons:**

- Missing Features (8 reviews)
- Learning Curve (5 reviews)
- Limited Features (4 reviews)
- Complex Data Modeling (3 reviews)
- Difficult Setup (3 reviews)

  ### 19. [Datamatics TruBI](https://www.g2.com/products/datamatics-trubi/reviews)
  TruBI is an enterprise-ready business intelligence platform that provides a modern & responsive user interface. It supports self-service analysis, 360 degree view of a single-version-of-truth, and provides an intuitive & interactive experience in a secure and scalable environment.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 22

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10)
- **Dashboards:** 8.8/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.6/10 (Category avg: 8.5/10)
- **Formats:** 8.6/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Datamatics](https://www.g2.com/sellers/datamatics)
- **Year Founded:** 1975
- **HQ Location:** Edison, New Jersey
- **Twitter:** @Datamatics (1,432 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/163359/ (8,186 employees on LinkedIn®)
- **Ownership:** BOM:532528

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 50% Mid-Market, 36% Small-Business


  ### 20. [dataPARC](https://www.g2.com/products/dataparc/reviews)
  dataPARC is a self-service industrial data visualization & analytics toolkit designed for process manufacturers seeking to improve quality, increase yield, & optimize their operations. Collect, connect, & analyze IoT data from across the plant with dataPARC’s process data analytics & visualization platform. Solve challenging process & product quality issues with simple, yet powerful trending & diagnostic analytics tools. Build sophisticated dashboards and displays to monitor processes & share production KPIs across your enterprise. Leverage artificial intelligence (AI) and machine learning to drive continuous improvement & increase margins via predictive modelling.


  **Average Rating:** 4.9/5.0
  **Total Reviews:** 39

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.0/10)
- **Dashboards:** 9.3/10 (Category avg: 9.0/10)
- **Steps to Answer:** 9.1/10 (Category avg: 8.5/10)
- **Formats:** 8.6/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [dataPARC](https://www.g2.com/sellers/dataparc)
- **Year Founded:** 1997
- **HQ Location:** Washougal, US
- **Twitter:** @dataPARCsolutio (26 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/dataparc-solutions/ (115 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Paper & Forest Products
  - **Company Size:** 62% Mid-Market, 31% Enterprise


#### Pros & Cons

**Pros:**

- Customizability (2 reviews)
- Data Analysis (2 reviews)
- Data Visualization (2 reviews)
- Ease of Use (2 reviews)
- Features (2 reviews)

**Cons:**

- Complex Usability (1 reviews)
- Data Management Issues (1 reviews)
- Difficult Learning (1 reviews)
- Learning Curve (1 reviews)
- Required Expertise (1 reviews)

  ### 21. [Rollstack](https://www.g2.com/products/rollstack/reviews)
  Rollstack helps data, finance, customer success, and revenue operations teams automate recurring PowerPoint presentations and Word documents by connecting directly to business intelligence tools like Tableau, Power BI, Looker, Metabase, and Google Sheets. If you’re tired of copying charts, pasting screenshots, or triple-checking KPIs across decks, Rollstack eliminates that manual, error-prone work. You can sync up-to-date data into branded templates, update them with one click, and export presentation-ready files in seconds. It’s built for teams responsible for client reporting, executive dashboards, business reviews, and sales enablement materials. Rollstack integrates directly with your existing BI stack, so there’s no need to rebuild dashboards or redesign visuals. Just connect your source, map the data to your slides or docs, and update them on your schedule — daily, weekly, or whenever you need them. Used by companies like Zillow, SoFi, Whirlpool, TripAdvisor, and CarGurus, Rollstack helps teams save 10+ hours per week, avoid mistakes, and focus on the story the data tells — not the tedious mechanics of building decks. For data analysts, program managers, sales ops, finance, and client success teams — Rollstack is how modern enterprises deliver consistent, trusted reports at scale. Whether you’re building a QBR for a $10M account or a weekly EBR, Rollstack makes its creation automatic and accurate. Book a demo today to learn how to automate your most important business reports.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 78

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.0/10)
- **Dashboards:** 8.2/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.0/10 (Category avg: 8.5/10)
- **Formats:** 8.4/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Rollstack](https://www.g2.com/sellers/rollstack)
- **Year Founded:** 2022
- **HQ Location:** New York, USA
- **Twitter:** @Rollstack (177 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/rollstack (30 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Marketing and Advertising, Computer Software
  - **Company Size:** 46% Mid-Market, 41% Enterprise


#### Pros & Cons

**Pros:**

- Time-saving (45 reviews)
- Customer Support (30 reviews)
- Ease of Use (29 reviews)
- Automation (25 reviews)
- Integrations (18 reviews)

**Cons:**

- Slow Loading (11 reviews)
- Slow Performance (7 reviews)
- Limitations in Storage (5 reviews)
- Complex Setup (4 reviews)
- Limited Customization (4 reviews)

  ### 22. [Visier](https://www.g2.com/products/visier/reviews)
  Visier gives organizations a Workforce AI Edge: a set of AI-powered capabilities that help leaders understand the relationship between people and work, elevate employee productivity, and win by adapting to change faster. The company is the global leader in AI-powered people analytics, workforce planning, and compensation allocation. All Visier technology is underpinned by its Real-time People Data Platform, which uses AI to unlock the business-transforming potential of people data, work data, and the fusion of both. Founded in 2010 by the pioneers of business intelligence, Visier has over 60,000 customers in 75 countries—including enterprises like BASF, Panasonic, Experian, Amgen, eBay, Ford Motor Company, and more. To learn more about Visier, visit www.visier.com.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 219

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.0/10)
- **Dashboards:** 8.6/10 (Category avg: 9.0/10)
- **Steps to Answer:** 7.9/10 (Category avg: 8.5/10)
- **Formats:** 8.2/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Visier](https://www.g2.com/sellers/visier-8c589666-edc0-409b-b9fb-0df31e55c335)
- **Year Founded:** 2010
- **HQ Location:** Vancouver, British Columbia
- **Twitter:** @visier (6,181 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/visier-analytics/ (566 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Hospital & Health Care, Information Technology and Services
  - **Company Size:** 82% Enterprise, 17% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (25 reviews)
- Data Analysis (22 reviews)
- Insights (19 reviews)
- Data Visualization (18 reviews)
- Time-saving (18 reviews)

**Cons:**

- Learning Difficulty (12 reviews)
- Expensive (11 reviews)
- Learning Curve (8 reviews)
- Complexity (7 reviews)
- Limited Customization (7 reviews)

  ### 23. [OriginPro](https://www.g2.com/products/originpro/reviews)
  Origin is a user-friendly and easy-to-learn software application that provides data analysis and publication-quality graphing capabilities tailored to the needs of scientists and engineers. OriginPro offers extended analysis tools for Peak Fitting, Surface Fitting, Statistics, Signal Processing and Image Handling. Along with general statistical tools such as descriptive statistics, T-tests, ANOVA, and survival analysis, OriginPro also offers advanced Time Series analysis and Quality Improvement tools including DOE, SPC, and MSA. Users can customize operations such as importing, graphing and analysis, all from the GUI. Graphs, analysis results and reports update automatically when data or parameters change. This allows for batch analysis of multiple files or data sets without the need for programming.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 138

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.0/10)
- **Dashboards:** 7.7/10 (Category avg: 9.0/10)
- **Steps to Answer:** 6.7/10 (Category avg: 8.5/10)
- **Formats:** 8.7/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [OriginLab Corp.](https://www.g2.com/sellers/originlab-corp)
- **Company Website:** https://www.originlab.com
- **Year Founded:** 1992
- **HQ Location:** Northampton, MA
- **Twitter:** @OriginLab (2,429 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/205815/ (34 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Research Scientist
  - **Top Industries:** Research, Higher Education
  - **Company Size:** 46% Enterprise, 34% Small-Business


#### Pros & Cons

**Pros:**

- Analysis (10 reviews)
- Data Analysis (10 reviews)
- Ease of Use (10 reviews)
- Visualization (10 reviews)
- Graphical Visualization (9 reviews)

**Cons:**

- Learning Curve (5 reviews)
- Not User-Friendly (4 reviews)
- Complexity (3 reviews)
- Expensive (3 reviews)
- Limited Flexibility (3 reviews)

  ### 24. [ILUM](https://www.g2.com/products/ilum-ilum/reviews)
  Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible.


  **Average Rating:** 4.9/5.0
  **Total Reviews:** 23

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.0/10)
- **Dashboards:** 10.0/10 (Category avg: 9.0/10)
- **Steps to Answer:** 10.0/10 (Category avg: 8.5/10)
- **Formats:** 10.0/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Ilum](https://www.g2.com/sellers/ilum)
- **Company Website:** https://ilum.cloud/
- **Year Founded:** 2019
- **HQ Location:** Santa Fe, US
- **Twitter:** @IlumCloud (18 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/ilum-cloud/ (4 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Telecommunications
  - **Company Size:** 52% Enterprise, 35% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (16 reviews)
- Features (16 reviews)
- Integrations (16 reviews)
- Setup Ease (15 reviews)
- Easy Integrations (14 reviews)

**Cons:**

- Complex Setup (9 reviews)
- Difficult Setup (9 reviews)
- Learning Curve (9 reviews)
- UX Improvement (8 reviews)
- Complexity (7 reviews)

  ### 25. [PopSQL](https://www.g2.com/products/popsql/reviews)
  PopSQL is the evolution of legacy SQL editors like DataGrip, DBeaver, Postico. We provide a beautiful, modern SQL editor for data focused teams looking to save time, improve data accuracy, onboard new hires faster, and deliver insights to the business fast. With PopSQL, users can easily understand their data model, write version controlled SQL, collaborate with live presence, visualize data in charts and dashboards, schedule reports, share results, and organize foundational queries for search and discovery. Even if your team is already leveraging a large BI tool, like Tableau or Looker, or a hodge podge of SQL editors, PopSQL enables seamless collaboration between your SQL power users, junior analysts, and even your less technical stakeholders who are hungry for data insights. \* Cross-platform compatibility with macOS, Windows, and Linux \* Works with Snowflake, Redshift, BigQuery, Clickhouse, Databricks, Athena, MongoDB, PostgreSQL, MySQL, SQL Server, SQLite, Presto, Cassandra, and more


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 80

**User Satisfaction Scores:**

- **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.0/10)
- **Dashboards:** 8.7/10 (Category avg: 9.0/10)
- **Steps to Answer:** 9.0/10 (Category avg: 8.5/10)
- **Formats:** 8.8/10 (Category avg: 8.6/10)


**Seller Details:**

- **Seller:** [Tiger Data (creators of TimescaleDB)](https://www.g2.com/sellers/tiger-data-creators-of-timescaledb)
- **Year Founded:** 2015
- **HQ Location:** New York, New York
- **Twitter:** @TigerDatabase (1,286 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/timescaledb/ (43 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 43% Small-Business, 37% Mid-Market




## Parent Category

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



## Related Categories

- [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)



---

## Buyer Guide

### 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.