Best Data Visualization Tools

How Many Data Visualization Tools Products Does G2 Track?

Total Products under this Category: 697

Category Stats (Nov 2026)

  • Average Rating: 4.44/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Upsolve AI (+1.75%) - Among all products in this category, Upsolve AI recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Data Visualization Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 20,400+ Authentic Reviews
  • 697+ 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.

G2 Grid® for Data Visualization Tools

G2 Grid® for Data Visualization Tools plotting products by satisfaction and market presence

Highlighted products: Databricks, Domo, Looker, 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=databricks&focus%5B%5D=domo&focus%5B%5D=looker&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)

Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value.

Average Rating: 4.6/5.0

Total Reviews: 1,369

How Do G2 Users Rate Databricks?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.0/10)

Who Is the Company Behind Databricks?

  • Seller: Databricks Inc.
  • Company Website:
  • Year Founded: 2013
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    14,336 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 47% Large, 38% Medium

What Do G2 Reviewers Say About Databricks?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the seamless integration of big data processing and AI, enhancing collaboration and performance in Databricks.
  • Users appreciate the ease of use of Databricks, seamlessly integrating various data workloads into a single interface.
  • Users appreciate the seamless integration of Databricks with big data processing and AI capabilities.
  • Users appreciate the easy collaboration enabled by Databricks’ notebook-based interface and shared environments.
  • Users value the effective data management features of Databricks, simplifying their workflows and enhancing decision-making.
Cons
  • Users find the learning curve steep for Databricks, requiring significant time and resources for effective use.
  • Users find the cost can scale up quickly, making budget management a significant concern while using Databricks.
  • Users find the steep learning curve of Databricks challenging, especially in setup and managing advanced features.
  • Users express frustration over missing features in Databricks, limiting its effectiveness for complex deployments and custom setups.
  • Users find the complexity of Databricks overwhelming, requiring significant time and resources for effective usage.

What Are Recent G2 Reviews of Databricks?

What Are G2 Users Discussing About Databricks?

Domo

Domo’s AI and data platform business is now part of Progress Software. Domo's cloud-native AI data readiness platform complements and significantly broadens Progress' data platform offerings, creating powerful synergies to deliver innovative, secure and scalable AI data readiness solutions worldwide. Together, these capabilities will help customers turn fragmented enterprise data and knowledge into governed, AI-ready intelligence, improving the security, governance and cost of AI-powered initiatives. Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI across their business. Built for enterprises, Domo works with existing cloud data platforms such as Snowflake, BigQuery, and Databricks to help teams turn governed data into AI-powered agents, apps, workflows, and analytics. Domo is built on three layers. The data foundation connects and governs data across cloud data platforms and business systems. The activation layer enables organizations to build AI agents, apps, workflows, automations, and dashboards on top of that foundation. The distribution layer delivers intelligence where work happens through embedded apps, mobile, dashboards, and AI assistants using Model Context Protocol (MCP). Governance underpins every layer, helping organizations scale AI and data products with security and trust. Key capabilities include: • Connecting and governing data across cloud data platforms and enterprise applications. • Building AI agents, apps, workflows, automations, dashboards, and analytics. • Delivering data and AI through dashboards, embedded apps, AI assistants, and AI agents. • Supporting both low-code and pro-code development for business and technical teams. • Applying governance, security, and access controls across data and AI. Organizations use Domo for AI agents, apps, and workflows, as well as business intelligence, operational analytics, embedded analytics, and executive reporting. By combining governed data, AI activation, app development, and distribution in a single platform, Domo helps organizations build and scale trusted data products across the enterprise.

Average Rating: 4.3/5.0

Total Reviews: 1,078

How Do G2 Users Rate Domo?

  • 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: 8.1/10 (Category avg: 8.6/10)
  • Formats: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Domo?

  • Seller: Domo
  • Company Website:
  • Year Founded: 2010
  • HQ Location: American Fork, UT
  • LinkedIn® Page: www.linkedin.com
    1,288 employees on LinkedIn®
  • Ownership: NASDAQ: DOMO

Who Uses This Product?

  • Who Uses This: Data Analyst, Business Analyst
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Medium, 28% Large

What Do G2 Reviewers Say About Domo?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Domo, appreciating its intuitive interface and straightforward data integration capabilities.
  • Users love Domo for its intuitive data visualization, making it easy to create dashboards and extract insights efficiently.
  • Users find Domo extremely intuitive, enabling quick dashboard creation and seamless integration of diverse data sources.
  • Users value the easy integrations of Domo, allowing seamless connection to numerous data sources for insightful analytics.
  • Users praise Domo's seamless integrations, enabling easy connections to various data sources for effective analytics and monitoring.
Cons
  • Users find the steep learning curve of Domo challenging, impacting onboarding and productivity for some staff.
  • Users find it challenging to keep up with missing features and updates, necessitating dedicated resources for tracking.
  • Users face significant data management issues, finding it challenging to secure, clean, and efficiently manage datasets in Domo.
  • Users find Domo's pricing to be expensive and confusing, especially as usage and storage requirements increase.
  • Users find Domo's complexity challenging, citing issues in data management and a lack of support for troubleshooting.

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

Looker

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: 1,653

How Do G2 Users Rate Looker?

  • 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: 8.1/10 (Category avg: 8.6/10)
  • Formats: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Looker?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG
  • Phone: +1 (650) 253-0000

Who Uses This Product?

  • Who Uses This: Data Analyst, Data Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 59% Medium, 21% Small

What Do G2 Reviewers Say About Looker?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Looker, enabling effortless creation of real-time, shareable dashboards.
  • Users value Looker's real-time dashboards, enabling clear insights and seamless data sharing for informed decision-making.
  • Users appreciate the easy integrations of Looker, enabling seamless connectivity and enhancing data-driven insights effortlessly.
  • Users appreciate the seamless integrations of Looker with modern data warehouses, enhancing data governance and analytics access.
  • Users value the flexibility in data visualization with Looker, enabling tailored insights through customizable graphics and views.
Cons
  • Users find the steep learning curve of Looker challenging, especially those without technical expertise.
  • Users find a steep learning curve with Looker, especially for non-technical members, impacting their initial experience.
  • Users experience slow loading times, particularly with large data sets, leading to frustration during urgent tasks.
  • Users experience slow performance with Looker, especially when handling large datasets and encountering technical glitches.
  • Users find the complexity of Looker's setup and learning curve makes it challenging, especially for non-technical team members.

What Are Recent G2 Reviews of Looker?

What Are G2 Users Discussing About Looker?

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Data Studio

Data 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. Data 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 Gemini in Looker, automatically generate reports, visualizations and slides and save countless hours."

Average Rating: 4.4/5.0

Total Reviews: 457

How Do G2 Users Rate Data Studio?

  • Has the product been a good partner in doing business?: 8.2/10 (Category avg: 9.0/10)
  • Dashboards: 9.1/10 (Category avg: 9.0/10)
  • Steps to Answer: 8.1/10 (Category avg: 8.6/10)
  • Formats: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Data Studio?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG
  • Phone: +1 (650) 253-0000

Who Uses This Product?

  • Who Uses This: Digital Marketing Specialist, Marketing Manager
  • Top Industries: Marketing and Advertising, Computer Software
  • Company Size: 45% Small, 37% Medium

What Do G2 Reviewers Say About Data Studio?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of setup in Data Studio, which allows for quick, flexible dashboard creation.
  • Users love the flexible visualization capabilities of Looker Studio, making data insights easily accessible and actionable.
  • Users value the easy integrations in Looker Studio, enhancing their ability to visualize and share data effectively.
  • Users appreciate the ease of data visualization with Data Studio, making complex data clear and accessible for insights.
  • Users love the collaborative sharing capabilities of Looker Studio, making it easy to present data visually to teams and clients.
Cons
  • Users find Looker Studio's limited customization frustrating, especially when needing more advanced visualisation options.
  • Users often experience slow performance when connected to multiple data sources or working with larger datasets.
  • Users often find Looker Studio's slow loading times frustrating, especially with large datasets or numerous charts.
  • Users often face connectivity issues with Looker Studio, leading to frustrating experiences with unreliable connectors and slow performance.
  • Users find limitations in storage, as performance slows with large datasets and advanced customizations are restricted.

What Are Recent G2 Reviews of Data Studio?

What Are G2 Users Discussing About Data Studio?

Elastic Stack

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: 106

How Do G2 Users Rate Elastic Stack?

  • 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: 8.3/10 (Category avg: 8.6/10)
  • Formats: 8.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Elastic Stack?

  • Seller: Elastic
  • Year Founded: 2012
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    10,457 employees on LinkedIn®
  • Ownership: NYSE: ESTC

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 46% Medium, 35% Large

What Do G2 Reviewers Say About Elastic Stack?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Elastic Stack, simplifying real-time monitoring and analysis across diverse systems.
  • Users value the flexibility of Elastic Stack, enabling extensive customization and integration with various tools and formats.
  • Users value the unified log management of Elastic Stack, enabling quick issue correlation and comprehensive system insights.
  • Users appreciate the search efficiency of Elastic Stack, enabling quick issue correlation and insightful system behavior analysis.
  • Users value the versatility of Elastic Stack, benefiting from its seamless integration and customizable deployment options.
Cons
  • Users find that resource management challenges in Elastic Stack require extensive expertise and ongoing attention to maintain performance.
  • Users face complexity issues in managing Elastic Stack, requiring significant expertise and ongoing attention for optimal performance.
  • Users find the Elastic Stack to be expensive at scale, especially due to high resource and licensing costs.
  • Users report that Elastic Stack's high memory usage can lead to increased costs and requires extensive resources at scale.
  • Users find the learning curve steep for Elastic Stack, requiring significant expertise for effective management and performance optimization.

What Are Recent G2 Reviews of Elastic Stack?

What Are G2 Users Discussing About Elastic Stack?

AgencyAnalytics

AgencyAnalytics is the reporting and insights platform purpose-built for marketing agencies. Prove your value to clients, win back the hours you lose to manual reporting, and keep more of the clients you worked hard to earn. Connect every client's marketing channels into live, customizable dashboards and report on SEO, PPC, social media, email, call tracking, ecommerce, local, AI search visibility, and more, with 85+ integrations feeding each client's live data into one place. Reports build and send themselves on the schedule you set, polished and on time, without the manual work. Benchmark performance, spot trends early, and walk into client calls already knowing what's working and what to fix. Everything is white-labeled for your agency, so clients get their own branded login to the web or mobile app. Whether you're an established agency or just getting started, AgencyAnalytics offers flexible pricing that scales as you grow. Try it free for 14 days, no credit card required.

Average Rating: 4.7/5.0

Total Reviews: 455

How Do G2 Users Rate AgencyAnalytics?

  • 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: 8.6/10)
  • Formats: 8.9/10 (Category avg: 8.6/10)

Who Is the Company Behind AgencyAnalytics?

Who Uses This Product?

  • Who Uses This: Founder, CEO
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 88% Small, 8% Medium

What Do G2 Reviewers Say About AgencyAnalytics?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use in AgencyAnalytics, streamlining reporting and dashboard creation effortlessly for clients.
  • Users praise the time-saving features of AgencyAnalytics, streamlining reporting and simplifying data integration for efficiency.
  • Users appreciate the exceptional customer support from AgencyAnalytics, noting quick and efficient resolutions to issues.
  • Users appreciate the user-friendly interface of AgencyAnalytics, making report and dashboard creation simple and efficient.
  • Users value the integration capabilities of AgencyAnalytics, which streamline data collection and enhance reporting efficiency.
Cons
  • Users are frustrated with integration issues, including limited options and technical challenges that hinder connectivity and reporting.
  • Users express a need for improved features and customization, as current options are limited and insufficient for diverse needs.
  • Users find reporting issues problematic, as dashboard changes complicate report building and link management frustrates client access.
  • Users often struggle with connection issues in AgencyAnalytics, leading to frustration and inefficiencies in their workflow.
  • Users find the learning curve steep, struggling with non-intuitive features and requiring extensive training to navigate effectively.

What Are Recent G2 Reviews of AgencyAnalytics?

What Are G2 Users Discussing About AgencyAnalytics?

SAP HANA Cloud

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: 522

How Do G2 Users Rate SAP HANA Cloud?

  • 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: 8.6/10)
  • Formats: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind SAP HANA Cloud?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP
  • Phone: +1 (800) 872-1727

Who Uses This Product?

  • Who Uses This: Consultant, SAP Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 61% Large, 26% Medium

What Do G2 Reviewers Say About SAP HANA Cloud?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of SAP HANA Cloud, benefiting from seamless integration and fast data processing.
  • Users appreciate the easy integrations of SAP HANA Cloud, enhancing efficiency in reporting and decision-making across modules.
  • Users value the seamless integrations of SAP HANA Cloud, enhancing efficiency in reporting and decision-making processes.
  • Users value the exceptional processing speed of SAP HANA Cloud, enhancing real-time insights and decision-making capabilities.
  • Users value the scalability of SAP HANA Cloud, enabling efficient growth and flexibility aligned with business needs.
Cons
  • Users often face complexity in initial setup and configuration that complicates the effective use of SAP HANA Cloud.
  • Users are concerned about the high costs associated with SAP HANA Cloud, especially when managing workloads improperly.
  • Users often struggle with the learning curve and initial setup complexity, hindering efficient onboarding for new users.
  • Users find the difficult learning curve of SAP HANA Cloud hinders onboarding and requires significant technical expertise.
  • Users find the complex setup of SAP HANA Cloud challenging, particularly for new users and specialized features.

What Are Recent G2 Reviews of SAP HANA Cloud?

SAP Analytics Cloud

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: 753

How Do G2 Users Rate SAP Analytics Cloud?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.0/10)
  • Dashboards: 8.7/10 (Category avg: 9.0/10)
  • Steps to Answer: 7.9/10 (Category avg: 8.6/10)
  • Formats: 8.7/10 (Category avg: 8.6/10)

Who Is the Company Behind SAP Analytics Cloud?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP
  • Phone: +1 (800) 872-1727

Who Uses This Product?

  • Who Uses This: Senior Consultant, Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 48% Large, 28% Medium

What Do G2 Reviewers Say About SAP Analytics Cloud?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of SAP Analytics Cloud, facilitating smooth training and effective data management.
  • Users value the integrated data analysis capabilities of SAP Analytics Cloud for seamless reporting and real-time insights.
  • Users appreciate the clean and effective data visualizations in SAP Analytics Cloud that enhance storytelling and reporting.
  • Users value the easy integrations of SAP Analytics Cloud, enhancing data flow and streamlining dashboard creation across teams.
  • Users value the integrated platform of SAP Analytics Cloud, combining BI, planning, and predictive analytics seamlessly.
Cons
  • Users experience slow performance during uploads and when handling large datasets, affecting usability and efficiency.
  • Users find the learning curve steep for SAP Analytics Cloud, particularly for non-technical users needing extra training.
  • Users find the learning difficulty high for SAP Analytics Cloud, requiring technical knowledge and external support for setup.
  • Users often experience performance issues, particularly with slow load times and complexity when handling large datasets.
  • Users often face performance lags with large datasets, making their experience less efficient and frustrating.

What Are Recent G2 Reviews of SAP Analytics Cloud?

What Are G2 Users Discussing About SAP Analytics Cloud?

MongoDB Atlas

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: 855

How Do G2 Users Rate MongoDB Atlas?

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

Who Is the Company Behind MongoDB Atlas?

  • Seller: MongoDB
  • Year Founded: 2007
  • HQ Location: New York
  • LinkedIn® Page: www.linkedin.com
    8,041 employees on LinkedIn®
  • Ownership: NASDAQ: MDB

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 45% Small, 29% Large

What Do G2 Reviewers Say About MongoDB Atlas?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of MongoDB Atlas, enjoying its intuitive UI and seamless setup process.
  • Users appreciate the intuitive user interface of MongoDB Atlas, highlighting its ease of use and helpful documentation.
  • Users appreciate the fast response and easy search features of MongoDB Atlas, enhancing their overall experience.
  • Users appreciate the scalability of MongoDB Atlas, benefiting from intuitive tools that simplify performance and management.
  • Users commend MongoDB Atlas for its exceptional reliability, ensuring consistent uptime and seamless database management experiences.
Cons
  • Users criticize expensive pricing of MongoDB Atlas, feeling forced into higher tiers with insufficient support and performance.
  • Users find the unclear pricing of MongoDB Atlas frustrating, resulting in unexpected costs and poor support experiences.
  • Users find MongoDB Atlas to be overpriced for its performance, leading to frustration and recommendation to switch services.
  • Users express frustration over high memory usage leading to unnecessary costs and performance issues in MongoDB Atlas.
  • Users experience latency issues with MongoDB Atlas, including slow data deletion and performance degradation during critical processes.

What Are Recent G2 Reviews of MongoDB Atlas?

What Are G2 Users Discussing About MongoDB Atlas?

Hurree

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: 4.8/5.0

Total Reviews: 73

How Do G2 Users Rate Hurree?

  • 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: 8.6/10)
  • Formats: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Hurree?

  • Seller: Hurree
  • Year Founded: 2018
  • HQ Location: Belfast, Antrim
  • LinkedIn® Page: www.linkedin.com
    52 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Marketing and Advertising
  • Company Size: 59% Small, 42% Medium

What Do G2 Reviewers Say About Hurree?

AI-generated summary from verified user reviews

Pros
  • Users appreciate Hurree's ease of use, as it offers intuitive dashboards that simplify data analysis for all team members.
  • Users value the clarity and stability of Hurree's analytics, enabling efficient reporting and insightful performance visualizations.
  • Users appreciate the clarity in data visualization of Hurree, making performance tracking and analysis straightforward and effective.
  • Users value the efficiency of Hurree in consolidating analytics, enabling quick decision-making without technical hurdles.
  • Users appreciate the AI-driven insights of Hurree, which streamline reporting and enhance decision-making across customer interactions.
Cons
  • Users face a learning curve with Hurree, requiring additional effort for setup and understanding advanced features.
  • Users feel that limited customization restricts their ability to tailor analytics to specific reporting needs.
  • Users feel that Hurree has limited options for customization and advanced integrations, affecting its flexibility and power.
  • Users note that the missing features in Hurree limit customization, advanced analytics, and integration options.
  • Users face learning difficulties with advanced features on Hurree, leading to challenges in fully utilizing the platform.

What Are Recent G2 Reviews of Hurree?

Sisense

Sisense is an API-first analytics platform that modernizes businesses by seamlessly integrating in-context analytics within applications, leading to action-oriented insights that enhance decision intelligence.

Average Rating: 4.2/5.0

Total Reviews: 1,003

How Do G2 Users Rate Sisense?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 9.0/10)
  • Dashboards: 7.9/10 (Category avg: 9.0/10)
  • Steps to Answer: 6.7/10 (Category avg: 8.6/10)
  • Formats: 7.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Sisense?

  • Seller: Sisense, Inc.
  • Company Website:
  • Year Founded: 2004
  • HQ Location: New York
  • LinkedIn® Page: www.linkedin.com
    534 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Product Manager
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 57% Medium, 24% Small

What Do G2 Reviewers Say About Sisense?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Sisense, thanks to its intuitive design and helpful documentation.
  • Users appreciate the data visualization capabilities of Sisense, creating clear and interactive dashboards from complex data sources.
  • Users value the seamless integrations in Sisense, enabling efficient data management and enhanced reporting capabilities.
  • Users commend the quick and helpful customer support of Sisense, enhancing their overall experience with the tool.
  • Users appreciate the dashboard customization in Sisense, enhancing their ability to create tailored and insightful visual presentations.
Cons
  • Users find a significant learning curve with Sisense, requiring time and training to achieve proficiency.
  • Users note missing features in Sisense, including limited transformation options and a lacking query builder.
  • Users report a massive security breach and poor support, requiring significant effort for issue resolution.
  • Users struggle with dashboard issues, finding the UI unhelpful and time-consuming for efficient data presentation.
  • Users find Sisense has limited customization, making it challenging for non-technical users to create tailored dashboards.

What Are Recent G2 Reviews of Sisense?

What Are G2 Users Discussing About Sisense?

Drivetrain

Drivetrain is an AI-native business planning platform that does the work. Mid-market and enterprise finance teams choose Drivetrain when they need a financial planning and analysis software that scales with complexity while remaining intuitive for users. Finance teams use Drivetrain to support core FP&A workflows such as 3-statement modeling, board and investor reporting, headcount and workforce planning, sales planning, cash flow and revenue forecasting, scenario modeling, budgeting, and variance analysis. By unifying these use cases into a single platform, finance leaders plan with greater accuracy, collaborate more effectively, and deliver timely insights for better decision-making. Drivetrain natively integrates with 800+ business systems including Salesforce, NetSuite, QuickBooks, Xero, Hubspot, Salesforce, Rippling, Excel and Looker. These integrations create a single source of truth that reduces manual data preparation and reconciliation. The platform supports flexible, multi-dimensional modeling. And, these models can be built using plain-English formulas, allowing finance teams to handle complexity without relying on rigid templates or specialized technical expertise. Drivetrain also has intuitive reporting and visualization capabilities, combining drag-and-drop report building with charts and dashboards for clear communication of performance. Robust role-based access controls allow finance leaders to manage permissions at a granular level, ensuring stakeholders receive secure, relevant access to metrics, models, and reports. AI is embedded throughout the platform to support data transformation, anomaly detection, model building, insight generation, and more. These capabilities help automate manual work so that finance teams can focus on analysis and decision-making. Finance teams in more than 20 countries and 13 verticals use Drivetrain for their FP&A needs. Customers include category-leading companies such as Postman, Javvy Coffee, Graham Allen, Matillion, Spinnaker Support, and Jumia Group.

Average Rating: 4.7/5.0

Total Reviews: 146

How Do G2 Users Rate Drivetrain?

  • 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: 8.6/10)
  • Formats: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Drivetrain?

  • Seller: Drivetrain
  • Company Website:
  • Year Founded: 2021
  • HQ Location: Sunnyvale, US
  • LinkedIn® Page: in.linkedin.com
    110 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CFO, Finance Manager
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 79% Medium, 18% Small

What Do G2 Reviewers Say About Drivetrain?

AI-generated summary from verified user reviews

Pros
  • Users find Drivetrain exceptionally easy to use, with intuitive features that streamline workflows and enhance collaboration.
  • Users find Drivetrain's report creation capabilities essential for streamlining financial reporting and enhancing collaboration.
  • Users appreciate the reporting efficiency of Drivetrain, streamlining financial processes and enhancing productivity significantly.
  • Users commend the exceptional customer support and expertise of Drivetrain's team, ensuring smooth implementation and ongoing assistance.
  • Users value the easy integrations of Drivetrain, enabling seamless connections with various systems for real-time insights.
Cons
  • Users note a significant learning curve with Drivetrain, making model building more complex than traditional spreadsheets.
  • Users note the lack of advanced modeling features and poor documentation, leading to a challenging learning experience.
  • Users face a notable learning difficulty due to the different logic in building models compared to traditional spreadsheets.
  • Users face a steep learning curve with Drivetrain, complicating model structuring compared to traditional spreadsheets.
  • Users face a difficult learning curve with Drivetrain's advanced features, requiring time and guidance for effective use.

What Are Recent G2 Reviews of Drivetrain?

Whatagraph

Whatagraph is the marketing intelligence platform where reporting scales without scaling the team behind it. One governed data foundation powers every destination your team uses — client reports, dashboards, AI tools, BigQuery — so the same trustworthy numbers show up everywhere, without anyone in the middle. The agency stops adding a reporting hire for every ten new clients, because the data layer scales, not the headcount. The data team stops being a ticket queue between marketing and its own numbers, because marketing can self-serve from the same governed foundation the analyst uses. And every cross-channel decision — where to move spend, which campaign to scale, which one to stop — runs on numbers that mean the same thing on Monday as they do on Friday, whether the answer comes from a report, a dashboard, or an AI tool. One foundation. Every destination. No operational tax for growing on top of it.

Average Rating: 4.5/5.0

Total Reviews: 271

How Do G2 Users Rate Whatagraph?

  • 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: 8.6/10)
  • Formats: 8.9/10 (Category avg: 8.6/10)

Who Is the Company Behind Whatagraph?

  • Seller: Whatagraph
  • Year Founded: 2015
  • HQ Location: Amesterdam, Netherlands
  • LinkedIn® Page: www.linkedin.com
    54 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO, Marketing Manager
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 77% Small, 18% Medium

What Do G2 Reviewers Say About Whatagraph?

AI-generated summary from verified user reviews

Pros
  • Users commend Whatagraph's lightning-fast customer support, ensuring prompt assistance and smooth, uninterrupted workflows.
  • Users love the automation capabilities of Whatagraph, significantly reducing time spent on manual reporting and enhancing efficiency.
  • Users value the extensive customizability of Whatagraph, allowing them to create visually engaging reports effortlessly.
  • Users appreciate the ease of use of Whatagraph, allowing effortless report building and streamlined data integration.
  • Users love the easy integrations of Whatagraph, streamlining reporting and saving valuable time across multiple data sources.
Cons
  • Users find Whatagraph's pricing to be expensive, making it challenging for solopreneurs to commit long-term.
  • Users find the slow loading issues frustrating, especially during presentations and tight deadlines, affecting overall experience.
  • Some users note compatibility issues with certain platforms, limiting seamless integration in specific cases.
  • Users face connection issues with personal media accounts, impacting their data analysis capabilities on Whatagraph.
  • Users find editing issues frustrating, especially with glitches during simultaneous edits and limited customization options.

What Are Recent G2 Reviews of Whatagraph?

What Are G2 Users Discussing About Whatagraph?

Coefficient

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: 206

How Do G2 Users Rate Coefficient?

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

Who Is the Company Behind Coefficient?

  • Seller: Coefficient
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Palo Alto, CA
  • LinkedIn® Page: www.linkedin.com
    70 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Medium, 35% Small

What Do G2 Reviewers Say About Coefficient?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Coefficient, enjoying seamless data extraction and hassle-free synchronization across tools.
  • Users value the automation capabilities of Coefficient, making data management effortless and efficient.
  • Users appreciate the seamless integrations of Coefficient, enabling effortless data flow between systems like Salesforce and QuickBooks.
  • Users value the time-saving automation of Coefficient, reclaiming hours in their weekly reporting tasks.
  • Users find easy integrations with Coefficient seamless, enhancing productivity and simplifying their data workflow considerably.
Cons
  • Users find the limited filtering options in Coefficient restrictive and detrimental to their data analysis experience.
  • Users find the feature limitations of Coefficient frustrating, particularly with filtering and integration challenges.
  • Users find the limit of Google Sheets for multiple filters and imports restricts their data management capabilities.
  • Users find the missing features in Coefficient limiting, especially with filters and integrating charts from SFDC.
  • Users face integration issues with Coefficient, leading to frustrating limitations when connecting to other tools and systems.

What Are Recent G2 Reviews of Coefficient?

Pigment

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: 123

How Do G2 Users Rate Pigment?

  • Has the product been a good partner in doing business?: 9.5/10 (Category avg: 9.0/10)
  • Dashboards: 8.8/10 (Category avg: 9.0/10)
  • Steps to Answer: 8.6/10 (Category avg: 8.6/10)
  • Formats: 7.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Pigment?

  • Seller: Pigment
  • Company Website:
  • Year Founded: 2019
  • HQ Location: Paris, FR
  • LinkedIn® Page: www.linkedin.com
    773 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: FP&A Manager
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 71% Medium, 21% Large

What Do G2 Reviewers Say About Pigment?

AI-generated summary from verified user reviews

Pros
  • Users praise the flexibility of Pigment, enabling seamless adjustments and tailored financial planning as needs evolve.
  • Users love the flexibility and AI features in Pigment, enhancing planning and reporting capabilities effectively.
  • Users commend the stellar customer support from Pigment, enhancing their experience and ensuring seamless implementations.
  • Users appreciate the ease of use of Pigment, allowing for quick setup and effective collaboration in financial planning.
  • Users praise Pigment for its powerful automation, seamlessly integrating data and enhancing forecasting capabilities with minimal errors.
Cons
  • Users experience data inaccuracy due to missing fields for reporting, causing bottlenecks for analysts and report builders.
  • Users find the formulas and calculations complicated, impacting their ability to efficiently use Pigment.
  • Users find the setup process complex, noting complicated formulas and a lack of easy API management options.
  • Users face connectivity issues with Pigment, often experiencing slow calculations and performance challenges on large datasets.
  • Users find the formula limitations somewhat tricky, complicating calculations and slowing down forecasts.

What Are Recent G2 Reviews of Pigment?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated June 24, 2026

Data Visualization Topics

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Learn More 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 systems and 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 – 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 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 – 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 or receiving customer inquiries via a 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 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 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, 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 offering, and application performance monitoring 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 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, Contact Center, Education, Finance, IT & Development, and 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.