Best Data Visualization Tools - Page 29

How Many Data Visualization Tools Products Does G2 Track?

Total Products under this Category: 478

Category Stats (Aug 2026)

  • Average Rating: 4.43/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Supersimple (+0.89%) - Among all products in this category, Supersimple recorded the largest rating increase compared to last month

Last updated: August 04, 2026

How Does G2 Rank Data Visualization Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 26,100+ Authentic Reviews
  • 478+ 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, SAP HANA Cloud, and AgencyAnalytics.

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=sap-hana-cloud-2025-10-01&focus%5B%5D=agencyanalytics)

Sponsored

Huwise

Huwise is a SaaS data product marketplace developed by a French company based in Paris, with over 15 years of experience. Recognized as a leading European player in data marketplace solutions by independent analyst firms, Huwise powers more than 3,000 data marketplaces across 25 countries. The platform is widely adopted across key industries including Banking & Insurance, Utilities and Energy, Transportation, Retail, Manufacturing and Central & Local Government. Huwise is a leading data product marketplace designed to transform raw data into AI-ready, business-ready data products. Unlike traditional data catalogs that primarily focus on metadata management and data discovery, Huwise actively drives data usage across organizations by converting data into actionable products. The platform is designed for business users, data product owners, data teams, and AI agents, providing a self-service, e-commerce-like experience that makes data more accessible, understandable, and usable across the organization. By enabling secure, governed, and scalable access to trusted data products, Huwise helps Chief Data Officers (CDOs) and Chief Data & AI Officers (CDAIOs) accelerate their data governance strategy, increase data adoption, and maximize the business impact of data and AI initiatives. Targeted at organizations seeking to enhance their data utilization, Huwise stands apart from conventional data platforms such as data lakes and cloud data warehouses. While these technologies are primarily focused on storing and processing large volumes of raw data, Huwise operates on top of the data stack to activate and distribute data. It ensures that data is not only understandable but also governed and directly usable throughout the organization. By complementing existing data catalog solutions, Huwise offers a business-facing access layer that integrates with raw, curated and certified data products, leveraging existing metadata and governance frameworks. The platform is built on data product principles, enabling organizations to publish and manage trusted, ready-to-use data products. Huwise facilitates self-service access to data without the need for technical expertise, ensuring that governance, security, and traceability are maintained across all data usage. Furthermore, it promotes data adoption through collaboration, feedback, and usage analytics, which are essential for driving engagement and maximizing the value of data within the organization. Huwise accelerates AI and analytics use cases by providing high-quality, contextualized data that enhances decision-making processes. Huwise also plays a crucial role in modern data architectures by supporting both the semantic layer and the emerging context layer. The semantic layer standardizes data definitions into business-friendly terms, while the context layer enriches this foundation with usage intelligence, lineage, governance, and real business interactions. This dual-layer approach enables both humans and AI to interpret and trust data accurately, reducing risks associated with misinterpretation or bias. As organizations increasingly adopt data mesh, data product strategies, and AI-driven operations, Huwise offers a modern approach for data sharing that is dedicated to drive data value and enhance business performance. It offers a data marketplace platform that not only organizes data but also activates it to deliver measurable business value. For companies aiming to maximize the potential of their data ecosystem, Huwise provides a future-proof, interoperable layer that bridges storage, governance, and consumption, ultimately accelerating data adoption and AI success at scale.

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Leonardo

Leonardo is a visualization, web spreadsheet, and dashboarding analysis tool developed by PARIS Technologies. Leonardo is the ideal complement to a centralized data management system such as Olation, allowing users to gain valuable insights from their data. With a user-friendly interface, it enables individuals and teams to create stunning visualizations and interactive dashboards that facilitate data exploration and storytelling. The tool seamlessly connects to the centralized data management system, pulling data from various sources and automatically updating visualizations in real-time. effectively communicates trends, patterns, and relationships within the data. Users can easily filter and drill-down into the data, providing deeper analysis and uncovering hidden insights. Collaboration features allow for sharing and collaboration of visualizations, enabling stakeholders to access and interact with updated data visualizations anytime, anywhere. This visualization tool is ideal for data analysts, business analysts, and decision-makers who rely on data-driven insights to guide their strategic decisions. It empowers users to understand complex data through intuitive visual representations and facilitates data-driven storytelling for persuasive presentations and reports. With seamless integration with the centralized data management system, this visualization tool enhances the value of the data, enabling users to extract actionable insights and drive informed decision-making.

Who Is the Company Behind Leonardo?

LivChart

LivChart is an AI-assisted business intelligence and analytics platform that helps teams turn operational data into interactive dashboards, charts, reports, and actionable insights. It combines data onboarding, ETL, query building, dashboard design, alerting, and governed user access in a single workspace. With LivChart, teams can connect files, databases, and web service data sources; prepare and enrich datasets in DataStudio; build reusable query and semantic layers; and create dashboards with charts, KPIs, filters, pivots, grids, drill-downs, forecasts, radar signals, and AI-generated insights. Users can explore data through interactive dashboards, create personal charts with the AI Chart Wizard, work in an Excel-like Analytics Studio, export PDF reports, send email summaries, define threshold-based alarms, and share dashboards, charts, or workbooks securely. LivChart is designed for organizations that need more than static reporting. It supports both admin-governed system dashboards and personal analytical workspaces, with subject-based permissions, role management, device binding, scheduled tasks, plugin-based data enrichment, and health checks for operational reliability. Its AI features assist with chart generation, dashboard insights, workbook actions, and exploratory analysis while keeping data preparation, review, and governance under user and admin control.

Who Is the Company Behind LivChart?

Lumenn AI

Lumenn AI provides a no-code environment for non-technical employees to extract and leverage enterprise data. Through natural language instructions, complex data is transformed into accessible visual graphs with AI-driven insights. Customizable dashboards empower any user to create, manage, and share BI assets.

Who Is the Company Behind Lumenn AI?

MakePieChart.com

Create professional pie charts easily. Import Excel data, customize colors, and export in multiple formats. No sign up required. Free forever plan available.

Who Is the Company Behind MakePieChart.com?

Mr. Dashboard

Improve your business reporting and get better business insight with excel dashboard

Who Is the Company Behind Mr. Dashboard?

MUI X Charts

A fast and extendable library of react chart components for data visualization. MUI X is a collection of advanced React UI components for complex use cases. Use the native integration with Material UI or extend your design system. They feature state-of-the-art functionality and complex UX workflows for data-rich applications and support a wide range of use cases.

Who Is the Company Behind MUI X Charts?

  • Seller: MUI
  • Year Founded: 2019
  • HQ Location: Paris, TF
  • Twitter: @MUI_hq
    18,727 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    82 employees on LinkedIn®

MUI X Data Grid

A fast and extensible React data table and React data grid, with filtering, sorting, aggregation, and more. The MUI X Data Grid is a TypeScript-based React component that presents information in a structured format of rows and columns. It provides developers with an intuitive API for implementing complex use cases; and end users with a smooth experience for manipulating an unlimited set of data.

Average Rating: 4.3/5.0

Total Reviews: 3

Who Is the Company Behind MUI X Data Grid?

  • Seller: MUI
  • Year Founded: 2019
  • HQ Location: Paris, TF
  • Twitter: @MUI_hq
    18,727 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    82 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of MUI X Data Grid?

NationGraph

Public sector sales intelligence that surfaces buying signals before the RFP drops. NationGraph is built for companies selling to state and local government, K–12, and higher education. Most vendors find out about an opportunity once it's already public, when the requirements are set and an incumbent is favored. NationGraph reads millions of board minutes, budgets, grants, and contracts across 110,000 agencies to flag which buyers are moving toward a purchase 6 to 18 months before the RFP drops. Every account comes with the signals behind it and verified decision-maker contacts, giving your whole team walk-the-halls awareness of their territory: expiring contracts, new funding, and pain points raised in council and board meetings. Prioritize the right accounts, reach the right people, and show up as the expert in the room before your competitors know the deal exists.

Who Is the Company Behind NationGraph?

NetMiner

NetMiner 5 is an advanced analytics platform developed by CYRAM Inc. that combines graph theory, machine learning, and AI to analyze, visualize, and interpret network and text data. Designed for researchers, analysts, and decision-makers across academia, government, and industry, NetMiner helps users uncover complex relational and textual patterns without requiring any programming expertise. At its core, NetMiner is built around social network analysis (SNA), enabling the structural exploration of relationships between people, organizations, documents, and concepts. It supports one-mode, two-mode, and multiplex networks, and provides a wide range of SNA metrics from basic to advanced to assess individual centrality, group dynamics, and whole-network structure. NetMiner goes beyond traditional SNA by integrating machine learning (ML) and graph neural networks (GNNs). Users can easily apply supervised and unsupervised learning techniques such as classification, regression, and clustering, as well as GNN models like GCN, GraphSAGE, and GAT, for predictive modeling. In terms of text analysis, NetMiner offers powerful capabilities to extract keywords, build co-occurrence networks, generate word clouds, and perform topic modeling using LDA. This allows users to move beyond frequency-based analysis and explore the latent meaning structure in large text corpora. NetMiner includes a powerful interactive 2D visualization engine that makes network structure exploration intuitive. Nodes and links can be styled by centrality, frequency, or categories, and users can zoom, filter, and drag to explore key actors and patterns. These visualizations are directly linked to the data for accurate interpretation. Even with large datasets, dynamic visual analysis is possible without writing code. The built-in AI Assistant, powered by LLMs like GPT and Gemini, helps interpret results and suggests next steps—making it accessible even to users who are new to network or text analysis. NetMiner is widely used across fields including: - Academic research: sociology, communication, political science, digital humanities, education - Policy analysis and public sector planning: stakeholder mapping, policy network evaluation, community structure detection - Enterprise analysis: internal communication auditing, compliance monitoring, customer segmentation, influencer analysis - Media and social media analysis: opinion leader detection, information diffusion, discourse analysis - Cybersecurity and anomaly detection: email network analysis, abnormal behavior pattern identification NetMiner supports importing and exporting various file formats (CSV, Excel) and integrates with external tools via APIs and scripting. Licenses are available for students, educational institutions (schools), and organizations/corporations. More than just a network visualization tool, NetMiner is a complete analysis environment built on the foundation of network thinking. It helps users move from data to insight to action—faster, smarter, and with greater clarity. To learn more or request a demo, visit www.netminer.com

Average Rating: 4.5/5.0

Total Reviews: 1

Who Is the Company Behind NetMiner?

  • Seller: NetMiner
  • Year Founded: 2000
  • HQ Location: Gyeonggi-do, South Korea
  • Twitter: @netminer
    230 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of NetMiner?

NOORAI Platform

NOORAI is an AI-powered decision intelligence platform that helps organizations turn complex, fragmented data into clear, confident decisions. We unify enterprise and external data into a single environment, enabling teams to interact with their data conversationally, generate real-time insights, and move from analysis to action faster. With NOORAI, organizations can: - Integrate data across systems, APIs, files, and external sources - Interact using natural language - Generate AI-driven insights, dashboards, and reports - Forecast outcomes and run “what-if” scenarios - Assess the impact of market shifts, inflation, and macroeconomic trends on business performance - Automate analytics and decision workflows within a secure, enterprise-grade platform

Who Is the Company Behind NOORAI Platform?

  • Seller: NOORAI
  • Year Founded: 2024
  • HQ Location: Boston , US
  • LinkedIn® Page: www.linkedin.com
    11 employees on LinkedIn®

Nucleus Analytics

Nucleus is for everyone, from the marketing intern to the executive director. With its customizable reports and deeper levels of analysis, Nucleus is equipped to answer all your data questions.

Who Is the Company Behind Nucleus Analytics?

Nveil AI

Nveil AI is an explainable AI platform that transforms raw data into production-ready, interactive visualizations — without writing a single line of code. Upload a CSV, Excel, JSON, or medical imaging file, describe what you need in plain language, and Nveil generates charts, dashboards, 3D renderings, heatmaps, and more in seconds. Unlike traditional data visualization tools that require mastering Python, R, or complex BI software, Nveil removes the technical barrier entirely. Its natural language interface lets researchers, analysts, healthcare professionals, and business teams go from raw dataset to actionable insight in a single conversation. No setup, no configuration, no learning curve. What sets Nveil apart is its deterministic AI architecture. While most AI-powered analytics tools rely on probabilistic language models prone to hallucinations, Nveil's proprietary engine — Choregraph™ — orchestrates every pipeline with verifiable, reproducible mathematics. Every visualization is explainable and auditable, making it suitable for regulated industries like healthcare, finance, and scientific research. Key capabilities include no-code data visualization with drag-and-drop support for CSV, XLSX, JSON, DICOM, and MHD formats; interactive exploration with pan, hover, and parameter adjustment on charts, maps, networks, scatter plots, volumetric renderings, and surfaces; large-scale data handling for datasets of several gigabytes; export flexibility to images, PDFs, or embeddable HTML; real-time collaboration across devices; and data privacy by design — Nveil never uses your data to train its models. Nveil serves a wide range of use cases: from medical imaging reconstruction and tumor evolution simulation to fraud detection, Benford's Law analysis, and cross-sectional dataset exploration. Backed by years of research from TIMC Lab and Université Grenoble Alpes, the platform bridges the gap between academic rigor and business-ready analytics. Whether you're a data scientist looking to accelerate exploratory analysis, a researcher who needs reproducible visualizations for publication, or a business team tracking KPIs without waiting on IT — Nveil AI delivers instant, trustworthy, and beautiful data storytelling.

Who Is the Company Behind Nveil AI?

  • Seller: Nveil
  • Year Founded: 2023
  • HQ Location: Grenoble, FR
  • LinkedIn® Page: www.linkedin.com
    4 employees on LinkedIn®

Odoo Dashboards

Build stunning dashboards directly inside your Odoo workspace - no coding, no exports, no external tools. Just pick your data, drag your charts, and share insights with your team in minutes.

Who Is the Company Behind Odoo Dashboards?

Ollagraph

Landing page introducing Ollagraph and its web data APIs for AI applications and automation.

Who Is the Company Behind Ollagraph?

OpenText Intelligence

OpenText™ Magellan™ BI & Reporting embeds compelling reports and dashboards into enterprise applications to increase their value and improve decision-making. With Magellan BI & Reporting, IT teams can leverage capabilities, such as embeddability, security and scalability to address virtually any reporting and dashboarding requirement.

Who Is the Company Behind OpenText Intelligence?

  • Seller: OpenText
  • Year Founded: 1991
  • HQ Location: Waterloo, ON
  • Twitter: @OpenText
    21,565 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    23,048 employees on LinkedIn®
  • Ownership: NASDAQ:OTEX
Bijou Barry
BB
Researched and written by Bijou Barry
Updated June 24, 2026