Best Data Visualization Tools

How Many Data Visualization Tools Products Does G2 Track?

Total Products under this Category: 528

Category Stats (Sep 2026)

  • Average Rating: 4.43/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: BlazeSQL (+2.75%) - Among all products in this category, BlazeSQL recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Data Visualization Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 26,400+ Authentic Reviews
  • 528+ 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: Canva, Databricks, Domo, Looker, Data Studio, Elastic Stack, AgencyAnalytics, and SAP HANA Cloud.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-visualization-tools/grids.json?focus%5B%5D=canva&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)

Canva

Canva is a visual communication platform that gives everyone a creative voice, no matter your design experience, team size, or budget. Whether you're a student making your first presentation, a marketer producing social graphics in minutes, or a global team creating on-brand content without touching a designer's inbox, Canva is where ideas become something you can actually show. Start with one of over a million professionally designed templates, or build from scratch with an AI-powered drag-and-drop editor. A library of stock images, videos, soundtracks, and fonts means you are easily equipped to create visual content at scale. Looking to work in Canva across your team? Real-time collaboration lets multiple people design simultaneously. Brand kits keep assets, colors, and fonts consistent across a one-person business or a Fortune 500 company. Canva AI helps you generate, resize, write, and edit visuals in a fraction of the time. Canva is used by more than 265 million people across 190 countries and trusted by 95% of Fortune 500 companies. Canva is available on the web, iOS and Android.

Average Rating: 4.7/5.0

Total Reviews: 6,497

How Do G2 Users Rate Canva?

  • 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: 8.6/10)
  • Formats: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Canva?

  • Seller: Canva
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Sydney
  • Twitter: @canva
    339,250 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    19,250 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Owner, Marketing Manager
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 66% Small, 23% Medium

What Do G2 Reviewers Say About Canva?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in Canva, enabling quick, intuitive designs on any device with minimal effort.
  • Users love the extensive templates in Canva, enabling quick and polished designs that suit varied needs effortlessly.
  • Users love Canva for its extensive design options, intuitive interface, and time-saving templates across devices.
  • Users love how Canva offers easy creation with intuitive templates and features, streamlining their design workflow effortlessly.
  • Users appreciate the wide variety of ready-made templates in Canva, enabling quick and easy design customization.
Cons
  • Users find Canva's limited features frustrating, especially with vector editing and costly premium options for essential tools.
  • Users find the limited options in Canva frustrating, especially for vector editing and bulk page creation.
  • Users express frustration over the missing features in Canva, impacting design capabilities and overall usability.
  • Users feel that the premium plan is expensive, especially for beginners who need essential features.
  • Users find the limited customization options in Canva restricts their creativity and flexibility in design projects.

What Are Recent G2 Reviews of Canva?

What Are G2 Users Discussing About Canva?

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: 1,332

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
  • Twitter: @databricks
    92,269 Twitter followers
  • 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: 48% Large, 38% Medium

What Do G2 Reviewers Say About Databricks?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the ease of use and extensive features of Databricks, streamlining data warehousing and machine learning tasks.
  • Users value the seamless integrations with AWS services that enhance efficiency and support diverse business needs.
  • Users appreciate the ease of use of Databricks, enhancing their experience with its intuitive interface and efficient features.
  • Users value the seamless collaboration provided by Databricks, enhancing teamwork on data projects and insights sharing.
  • Users value the effective data management features of Databricks, simplifying their workflows and enhancing decision-making.
Cons
  • Users face a steep learning curve with Databricks, as its complexity can be confusing for newcomers.
  • Users note that the cost of Databricks can be quite high, particularly for large data projects and limited free options.
  • Users express frustration over missing features in Databricks, limiting its effectiveness for complex deployments and custom setups.
  • Users find the steep learning curve of Databricks challenging, particularly for those unfamiliar with big data tools.
  • Users face unintuitive UI issues that lead to random errors and complicate the experience for non-technical users.

What Are Recent G2 Reviews of Databricks?

What Are G2 Users Discussing About Databricks?

Domo

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: 1,069

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: 8.6/10 (Category avg: 8.6/10)

Who Is the Company Behind Domo?

  • Seller: Domo
  • Company Website:
  • Year Founded: 2010
  • HQ Location: American Fork, UT
  • Twitter: @Domotalk
    63,513 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,288 employees on LinkedIn®

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 find Domo's ease of use and intuitive design invaluable for managing data efficiently and effectively.
  • Users value the flexible and user-friendly data visualization capabilities of Domo, enhancing their data analysis experience significantly.
  • Users find Domo's intuitive design empowering, facilitating easy access and effective data visualization for all skill levels.
  • Users praise Domo for its easy integrations, streamlining data management and enhancing real-time collaboration across various platforms.
  • Users value Domo's seamless integration capabilities, enabling efficient data management and real-time insights from various sources.
Cons
  • Users find the learning curve steep, often needing dedicated resources to manage updates and functionalities effectively.
  • Users report missing features in Domo, including flexibility in pivot charts and dynamic column options.
  • Users face significant data management issues with Domo, including unreliable connectors and challenging reporting functionality.
  • Users find Domo expensive, especially with drastic price increases that strain budgets and erode client trust.
  • Users find Domo's complexity hinders flexibility and speed in dataset management, making changes challenging and time-consuming.

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: 1,589

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
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

Who Uses This Product?

  • Who Uses This: Data Analyst, Data Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 60% Medium, 20% Large

What Do G2 Reviewers Say About Looker?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use of Looker, making report creation simple for those with limited technical skills.
  • Users value the dynamic real-time reporting abilities of Looker, enhancing collaboration and decision-making across digital ad platforms.
  • Users love the easy integrations with various data sources, enhancing their analytics experience on Looker.
  • Users appreciate the seamless integrations with platforms like Salesforce, enhancing functionality and user experience in Looker.
  • Users appreciate the dynamic and real-time reporting capabilities of Looker, enhancing data sharing for digital ads.
Cons
  • Users find Looker's steep learning curve challenging, especially with LookML, making onboarding for beginners difficult.
  • Users find the steep learning curve of Looker challenging, especially for those lacking technical expertise.
  • Users experience slow loading times with Looker, particularly when handling larger datasets, complicating dashboard creation.
  • Users often experience slow performance with Looker, particularly during data loading and complex transformations.
  • Users find Looker to have high complexity, struggling with learning curves and limited visuals, affecting overall usability.

What Are Recent G2 Reviews of Looker?

What Are G2 Users Discussing About Looker?

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: 456

How Do G2 Users Rate Data Studio?

  • Has the product been a good partner in doing business?: 8.3/10 (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
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

Who Uses This Product?

  • Who Uses This: Digital Marketing Specialist, Digital Marketing Manager
  • Top Industries: Marketing and Advertising, Computer Software
  • Company Size: 46% Small, 37% Medium

What Do G2 Reviewers Say About Data Studio?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in building customizable dashboards quickly, simplifying collaboration and data visualization.
  • Users appreciate the flexibility of visualization in Looker Studio, enabling seamless data integration and quick report creation.
  • Users love the easy integrations with various data sources, streamlining their workflow and enhancing productivity.
  • Users appreciate the collaborative sharing capabilities of Looker Studio, enabling quick and easy report distribution with teams and clients.
  • Users enjoy the easy data visualization offered by Looker Studio, enabling quick and appealing dashboard creation.
Cons
  • Users find the limited customization options in Looker Studio frustrating, especially when needing flexibility in visualizations.
  • Users experience slow performance with Looker Studio, especially when handling larger datasets and complex calculations.
  • Users experience slow loading times with Looker Studio, especially when handling large or complex datasets.
  • Users often face connectivity issues with Looker Studio, complicating data connections and hindering overall performance.
  • Users find the limited design options in Data Studio frustrating, affecting customization and overall user experience.

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: 104

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
  • Twitter: @elastic
    65,200 Twitter followers
  • 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: 47% Medium, 34% Large

What Do G2 Reviewers Say About Elastic Stack?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Elastic Stack, enabling quick correlation and understanding of system behavior.
  • Users value the flexibility of Elastic Stack for its customization, integration, and deployment options across various environments.
  • Users appreciate the unified log management that allows for quicker issue correlation and comprehensive system understanding.
  • Users praise the fast and scalable real-time search of Elastic Stack, enhancing their ability to analyze data efficiently.
  • Users value the versatility of Elastic Stack, seamlessly integrating various tools for flexible data management and visualization.
Cons
  • Users note the resource management challenges in Elastic Stack, requiring expertise to maintain performance and stability.
  • Users find the complexity issues of Elastic Stack demanding, requiring significant expertise to manage effectively and maintain performance.
  • Users find the cost of resources for Elastic Stack to be significant, especially at scale and for advanced features.
  • Users find that High Memory Usage in Elastic Stack can lead to increased costs and management complexities at scale.
  • Users find the steep learning curve of Elastic Stack challenging, requiring significant experience for effective management and optimization.

What Are Recent G2 Reviews of Elastic Stack?

What Are G2 Users Discussing About Elastic Stack?

AgencyAnalytics

AgencyAnalytics is the only reporting and insights platform 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've 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, and more, with 85+ integrations in one place. Automate report creation and scheduling so polished, accurate updates go out on time without the manual work. Benchmark performance, spot trends early, and use AI-powered insights to walk into client calls already knowing what's working and what to fix. Everything is fully 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 risk-free for 14 days, no credit card required.

Average Rating: 4.7/5.0

Total Reviews: 451

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?

  • Seller: AgencyAnalytics
  • Company Website:
  • Year Founded: 2010
  • HQ Location: Toronto
  • Twitter: @agencyanalytics
    4,047 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    118 employees on LinkedIn®

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, enjoying quick access to integrated data and responsive support.
  • Users love the time-saving features of AgencyAnalytics, allowing for quick data organization and seamless reporting.
  • Users commend the exceptional customer support from AgencyAnalytics, praising their responsiveness and tailored assistance.
  • Users commend the user-friendly interface of AgencyAnalytics, appreciating its ease of use and fast setup.
  • Users appreciate the seamless integration capabilities of AgencyAnalytics, enhancing data visibility and reporting efficiency.
Cons
  • Users are frustrated by the integration issues with various platforms, severely limiting functionality and support options.
  • Users note the limited features of AgencyAnalytics, impacting comprehensive analysis and integration capabilities for key platforms.
  • Users face a tricky reporting issue due to a steep learning curve and integration limitations affecting dashboard setups.
  • Users experience significant connection issues due to limited integrations and frequent disconnections, impacting overall functionality.
  • The learning curve for setting up and structuring dashboards in AgencyAnalytics can be challenging for users.

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: 521

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
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP

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 exceptional ease of use of SAP HANA Cloud, contributing to improved decision-making and collaboration.
  • Users appreciate the easy integrations of SAP HANA Cloud, enhancing data management and reporting efficiency seamlessly.
  • Users appreciate the seamless integration capabilities of SAP HANA Cloud, enhancing data management and reporting efficiencies.
  • Users praise SAP HANA Cloud for its exceptional real-time performance, enhancing usability and driving significant business value.
  • Users commend the scalability of SAP HANA Cloud, enabling flexibility and efficiency in managing large, complex datasets.
Cons
  • Users often struggle with the complexity of setup and configuration, making it challenging for new users to navigate.
  • Users feel that the cost can be prohibitive for smaller organizations, particularly with premium features and usage growth.
  • Users note a steep learning curve for SAP HANA Cloud, which may require specialized training to navigate effectively.
  • Users find the difficult learning curve of SAP HANA Cloud challenging, particularly for those new to SAP technologies.
  • Users point out the complex setup of SAP HANA Cloud, which can be challenging for specialized applications and users.

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: 748

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
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP

Who Uses This Product?

  • Who Uses This: Senior Consultant, Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 49% 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 in SAP Analytics Cloud, simplifying data understanding for everyday tasks and decision-making.
  • Users value the powerful data analysis capabilities of SAP Analytics Cloud for its seamless integration and advanced planning features.
  • Users value the strong visualization capabilities of SAP Analytics Cloud, enhancing data storytelling and stakeholder communication.
  • Users value the powerful integration and predictive modeling capabilities of SAP Analytics Cloud for efficient project management.
  • Users value the easy integrations of SAP Analytics Cloud, allowing seamless connectivity and enhanced collaboration across tools.
Cons
  • Users experience slow performance with large datasets, affecting efficiency and user satisfaction in SAP Analytics Cloud.
  • Users face a steep learning curve in SAP Analytics Cloud that can hinder effective usage without proper training.
  • Users face a steep learning curve with SAP Analytics Cloud, requiring training to navigate its advanced features effectively.
  • Users often face performance issues with SAP Analytics Cloud, particularly when handling large datasets and complex calculations.
  • Users note that handling large datasets can slow down performance, impacting their overall experience with SAP Analytics Cloud.

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: 851

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
  • Twitter: @MongoDB
    503,172 Twitter followers
  • 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: 46% Small, 29% Large

What Do G2 Reviewers Say About MongoDB Atlas?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the intuitive UI of MongoDB Atlas, enhancing their database management experience significantly.
  • Users appreciate the intuitive UI of MongoDB Atlas, which simplifies database management and enhances user experience.
  • Users appreciate the intuitive UI and documentation of MongoDB Atlas, enhancing user-friendly database management and efficiency.
  • Users value the scalability of MongoDB Atlas, noting its ease in managing clusters and diverse data structures.
  • Users highly value the reliability of MongoDB Atlas, consistently appreciating its excellent uptime and seamless performance.
Cons
  • Users find the pricing of MongoDB Atlas excessively high, leading to frustration with unexpected costs and poor performance.
  • Users express frustration over unclear pricing structures, leading to unexpected costs and insufficient support throughout their experience.
  • Users find MongoDB Atlas expensive, citing high costs for performance, support, and complex billing issues.
  • Users experience high memory usage with MongoDB Atlas, leading to performance issues and unexpected costs.
  • Users frequently report latency issues and unwanted slowdowns in performance during data operations with MongoDB Atlas.

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: 74

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
  • Twitter: @Hurree_me
    896 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    52 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Marketing and Advertising
  • Company Size: 58% Small, 42% Medium

What Do G2 Reviewers Say About Hurree?

AI-generated summary from verified user reviews

Pros
  • Users admire the ease of use of Hurree, simplifying client understanding of lead sources and competition effortlessly.
  • Users value the intuitive interface and customizable dashboards of Hurree for effective data visualization and tracking.
  • Users praise Hurree for its intuitive data visualization that simplifies understanding and enhances team productivity.
  • Users appreciate the efficiency of Hurree, making it easy to understand lead sources and improve client meetings.
  • Users value Hurree's powerful data transformation, enabling insightful analysis and informed decision-making through an intuitive interface.
Cons
  • The initial learning curve can be overwhelming, but support helps users adapt to Hurree's features over time.
  • Users experience limited customization options in Hurree, wishing for more flexibility in tailoring their reports and dashboards.
  • Users find the limited reporting features of Hurree restrict their ability to perform deeper analyses effectively.
  • Users express disappointment over the lack of AI integration, though improvements are reportedly in progress.
  • Users find learning difficulties with data ranges and integration, impacting their overall experience with Hurree.

What Are Recent G2 Reviews of Hurree?

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: 199

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
  • Twitter: @coefficient_io
    346 Twitter followers
  • 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 find easy integrations with Coefficient seamless, enhancing productivity and simplifying their data workflow considerably.
  • Users value the time-saving automation of Coefficient, reclaiming hours in their weekly reporting tasks.
Cons
  • Users find the feature limitations of Coefficient frustrating, particularly with filtering and integration challenges.
  • Users find the limited filtering options in Coefficient restrictive and detrimental to their data analysis experience.
  • Users find the missing features in Coefficient limiting, especially with filters and integrating charts from SFDC.
  • Users find the limit of Google Sheets for multiple filters and imports restricts their data management capabilities.
  • Users face integration issues with Coefficient, leading to frustrating limitations when connecting to other tools and systems.

What Are Recent G2 Reviews of Coefficient?

Visme

Visme is the operating system for business content, the platform teams use to create, manage, and scale everything their business communicates with, from presentations and reports to infographics, documents, and social graphics. Where most AI creates from a blank prompt, Visme works from what your business already knows. Connect your Drive, OneDrive, SharePoint, and existing decks, and Visme reads them, structures them, and learns your brand, voice, and key facts. Every new piece is held to that brand standard automatically, with the right fonts, colors, logos, and tone applied without anyone enforcing them manually. Visme's AI is grounded in your brand, your content, and your data rather than a generic prompt, so what it produces reads like your company instead of off-the-shelf output. From that foundation, Visme can build on-brand Sales Decks, QBRs, and Proposals from your own content, pull live data from Salesforce, Google Sheets, and Excel, and update a fact once so it carries across every piece built from it. Visme is built for the teams that produce recurring customer-facing content: sales, customer success, marketing, and revenue operations. Real-time collaboration keeps distributed teams working in one place, and Smart Link sharing shows how content performs after it is sent. The outcome is one system the whole company creates from, consistent, current, and built on what your team already has, so the people accountable for the brand can hold the standard without reviewing every piece.

Average Rating: 4.5/5.0

Total Reviews: 498

How Do G2 Users Rate Visme?

  • 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: 8.6/10)
  • Formats: 8.8/10 (Category avg: 8.6/10)

Who Is the Company Behind Visme?

  • Seller: Visme
  • Company Website:
  • Year Founded: 2014
  • HQ Location: Rockville, Maryland
  • Twitter: @VismeApp
    63,790 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    91 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO, Founder
  • Top Industries: Marketing and Advertising, Education Management
  • Company Size: 69% Small, 24% Medium

What Do G2 Reviewers Say About Visme?

AI-generated summary from verified user reviews

Pros
  • Users praise Visme for its ease of use, enabling non-designers to create stunning presentations effortlessly.
  • Users love the variety of templates in Visme, enabling easy creation of beautiful presentations for everyone.
  • Users value the intuitive user interface and extensive features of Visme, enhancing the design experience for all.
  • Users find the intuitive interface of Visme perfect for creating impressive presentations, even without design skills.
  • Users appreciate the variety of templates available in Visme, enabling easy creation of beautiful presentations.
Cons
  • Users express frustration over limited features in Visme, including collaboration restrictions and formatting issues.
  • Users express frustration over missing features like collaboration limitations and insufficient editing tools in Visme.
  • Users face limited editing capabilities in Visme, hindering collaboration and complicating project management across different formats.
  • Users find the pricing of Visme to be expensive, especially for freelancers needing budget-friendly options.
  • Users express concern over limited options in Visme, including basic shapes and audio tracks in videos.

What Are Recent G2 Reviews of Visme?

What Are G2 Users Discussing About Visme?

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: 113

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: 72% Medium, 20% Large

What Do G2 Reviewers Say About Pigment?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the flexibility of Pigment, effortlessly adapting models to changes in business needs and data.
  • Users love the flexibility and multidimensionality of Pigment, enabling adaptive modeling and comprehensive data analysis.
  • Users praise the efficient customer support of Pigment, enhancing their experience with quick and effective assistance.
  • Users appreciate the ease of use in Pigment, enjoying straightforward implementations and quick support for seamless integration.
  • Users value the automation capabilities of Pigment, enabling efficient data integration and seamless updates for forecasting.
Cons
  • Users face data inaccuracy issues due to limited data availability and evolving features that hinder reliable reporting.
  • Users find the complex calculations and formulas challenging, impacting the efficiency of their forecasts.
  • Users find the complex setup of Pigment challenging, desiring simpler API configurations and ownership changes.
  • Users face connectivity issues with Pigment, particularly related to data volume and location limitations affecting performance.
  • Users find the formula limitations challenging, noting complexity and a need for easier API setup options.

What Are Recent G2 Reviews of Pigment?

BlazeSQL

It is an AI-Native Self-Service BI Platform, centered around an AI Data Analyst chatbot that queries, analyzes and visualizes data from your SQL Database. It enables true self-service analytics by really understanding and learning about your company and Database, so it can reliably answer everyone's questions on demand. Unlike most tools that claim to do the same, BlazeSQL is not only reliable, but it provides intuitive tooling to provide the AI with context, explains its work to non-technical users so it's not a black box, and provides transparency for admins so they have visibility of all chats and can easily monitor accuracy. It helps non-technical people get insights independently, and technical people work faster. Results from the chat can effortlessly be added to dashboards, exported, saved for tracking, or shared. While Blaze can certainly return specific data or graphs on demand (ex. campaign performance), it can fully apply its intelligence and business understanding by taking a user's high level goals (ex. increasing Return on Ad spend) and autonomously conducting a comprehensive analysis to surface the right insights and make actionable suggestions. That way, it fully leverage's the capabilities of the world's most powerful AI models as they continue to become more and more capable. Advanced capabilities include autonomous agent monitoring & reporting, a slack integration, web research, and dynamic AI integrations with any API. Enterprise security features include Role Based Access Control, a desktop client with an "Offline-mode" that only sends metadata to the cloud but leaves query results completely local, SSO, 2FA, and strong encryption in transit and at-rest. Notable customers such as Yamaha have had success using BlazeSQL, and it continues to be successfully adopted by SMEs and Large enterprises alike. Various case studies and testimonials note results like a data team saving 1.5 days a week, data bottlenecks being eliminated so that business stakeholders are able to make data a daily part of their work and thinking, and teams starting to think more strategically and critically with their analysis to deliver real business impact and growth.

Average Rating: 4.4/5.0

Total Reviews: 128

How Do G2 Users Rate BlazeSQL?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.0/10)
  • Dashboards: 9.4/10 (Category avg: 9.0/10)
  • Steps to Answer: 9.4/10 (Category avg: 8.6/10)
  • Formats: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind BlazeSQL?

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Accounting
  • Company Size: 59% Small, 29% Medium

What Do G2 Reviewers Say About BlazeSQL?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the efficient data analytics capabilities of BlazeSQL, enabling quick insights and empowering self-service analysis.
  • Users appreciate the ease of use of BlazeSQL, enabling efficient data analysis and empowering non-technical users.
  • Users appreciate the efficiency and ease of use BlazeSQL offers for data analysis and self-service capabilities.
  • Users value the flexibility of BlazeSQL, enabling quick adjustments and diverse analytical capabilities through natural language queries.
  • Users value the easy integrations of BlazeSQL, enabling efficient data analysis and empowering non-technical users to explore insights.

What Are Recent G2 Reviews of BlazeSQL?

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.