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Cloud Monitoring collects metric data and provides tools that let you monitor and visualize how your applications and services are performing.
Total Products under this Category: 478
Last updated: August 04, 2026
Why You Can Trust G2's Software 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.

Highlighted products: Canva, Databricks, Domo, Looker, Data Studio, AgencyAnalytics, Elastic Stack, 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=agencyanalytics&focus%5B%5D=elastic-stack&focus%5B%5D=sap-hana-cloud-2025-10-01)
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Cloud Monitoring collects metric data and provides tools that let you monitor and visualize how your applications and services are performing.
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: 6,480
AI-generated summary from verified user reviews
"Canva Makes Designing Fast and Effortless"
Rating: 4.0/5.0 stars
— Aman B.
"Canva: Essential resource for marketing teams to scale design and content creation"
Rating: 5.0/5.0 stars
— Claudine P.
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: 1,337
AI-generated summary from verified user reviews
"Reliable Platform for Building Scalable Data Pipelines"
Rating: 5.0/5.0 stars
— aravind k.
"Databricks Streamlines ETL and Analytics with Scalable Notebooks"
Rating: 5.0/5.0 stars
— Diana C.
Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and generate dynamic reports and visualizations—all within a single interface. With built-in AI and automation capabilities, teams can easily build and use AI agents, streamline workflows, and create tailored solutions.
Average Rating: 4.3/5.0
Total Reviews: 1,062
AI-generated summary from verified user reviews
"Domo Turns Disconnected Reports Into a Game-Changing Sales Scorecard"
Rating: 5.0/5.0 stars
— Renee G.
"Fast, Reliable Dashboarding with Quick Data Connections in Domo"
Rating: 4.5/5.0 stars
— Katie S.
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: 1,592
AI-generated summary from verified user reviews
"Interactive Dashboards and Real-Time Insights Shine"
Rating: 4.0/5.0 stars
— Jeni J.
"Powerful once it's set up properly, that's once is doing a lot of work in that sentence"
Rating: 4.5/5.0 stars
— Anurag S.
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
AI-generated summary from verified user reviews
"Looker Studio Makes Real-Time, Interactive Dashboards Effortless"
Rating: 5.0/5.0 stars
— Gautam V.
"Mobile-First, Spreadsheet-Driven Reports with Instant Updates—and a Great Free Version"
Rating: 5.0/5.0 stars
— Jaime Ricardo L.
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
AI-generated summary from verified user reviews
"Elastic Stack: Real-Time Scalability, Fast Search, and Powerful Kibana Visualizations"
Rating: 5.0/5.0 stars
— Jai P.
"Powerful Centralized Log Management with Elastic Stack"
Rating: 4.0/5.0 stars
— Ravindra N.
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: 450
AI-generated summary from verified user reviews
"Centralized Analytics and Stunning Branded Reports That Save Time"
Rating: 5.0/5.0 stars
— Mike D.
"AgencyAnalytics Makes Trend Reporting and SEO Insights Fast and Client-Friendly"
Rating: 4.5/5.0 stars
— Shannon M.
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
AI-generated summary from verified user reviews
"Effortless Data Integration and Scalability"
Rating: 4.5/5.0 stars
— Verified User
"Efficient Transactions, But Time-Intensive Setup"
Rating: 4.0/5.0 stars
— Sumeet R.
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: 750
AI-generated summary from verified user reviews
"SAP Analytics Cloud Clean Dashboards and Powerful Real Time Analytics in One Place"
Rating: 5.0/5.0 stars
— Muzammil M.
"Reliable & User-Friendly Analytics Tool"
Rating: 4.0/5.0 stars
— sagar i.
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
AI-generated summary from verified user reviews
"Hurree brought structure and focus to our performance monitoring"
Rating: 5.0/5.0 stars
— Hayley C.
"Game-Changer for Data-Driven Marketing Teams"
Rating: 5.0/5.0 stars
— Gavin M.
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: 849
AI-generated summary from verified user reviews
"Flexible, High-Performance Database with Easy Scaling"
Rating: 4.5/5.0 stars
— Sai shivan J.
"MongoDB Atlas: Fast Setup, Flexible Docs, and Great Value on the Free Tier"
Rating: 4.5/5.0 stars
— Muhammed A.
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: 500
AI-generated summary from verified user reviews
"My Go-To Platform for Professional Marketing Materials"
Rating: 4.5/5.0 stars
— Kathryn S.
"Visme Makes Professional, Data-Rich Client Reports Affordable and Distinctive"
Rating: 5.0/5.0 stars
— Brian B.
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: 110
AI-generated summary from verified user reviews
"Power Pivot on Steroids—Intuitive, Modern Planning with Real-Time Collaboration"
Rating: 5.0/5.0 stars
— Maria M.
"Easy-to-Use, Visually Clear Dashboards with Powerful Filtering"
Rating: 4.5/5.0 stars
— Gowtham R.
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: 195
AI-generated summary from verified user reviews
"Efficient, User-Friendly Tool for Integrating Salesforce with Google Sheets"
Rating: 5.0/5.0 stars
— Ellen Dericks C.
"Seamless Database Queries in Google Sheets with Responsive Support"
Rating: 4.5/5.0 stars
— Verified User in Marketing and Advertising
Swydo’s easy-to-use reporting and monitoring platform retrieves data from multiple sources (Google Ads, Facebook, Google Analytics, and more (34+) ), helping marketers to create professional, customizable marketing reports or dashboards. The user-friendly tool allows digital marketers to generate (client or stakeholders) reports and dashboards combining external data sources in one report. Digital agencies, brands, and franchisors save time creating professional-looking reports while adding more value to analyzing data and gaining actionable insights to improve ROI.
Average Rating: 4.7/5.0
Total Reviews: 113
AI-generated summary from verified user reviews
"Effortless Dashboarding with Excellent Support"
Rating: 5.0/5.0 stars
— Martijn V.
"Enhances Client Reporting Effortlessly with Quick Setup"
Rating: 5.0/5.0 stars
— Verified User
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
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.
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.
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.
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.