Technology
What is A Data Visualization Tool? Here Are Your Top 10 Choices
Published
3 years agoon
Artificial intelligence, machine learning, and robotics are among the sought-after careers in recent years. Data science is a booming career path, too. However, analyzing large volumes of data isn’t always simple. Sometimes, data sets are so large and complicated that it is almost impossible to understand their purpose. That’s why every data scientist needs a powerful data visualization tool.
Data Visualization Overview
In any data-driven enterprise, data visualization is essential. It translates data into visuals, making it easier to recognize and understand. Data visualization also helps teams make crucial business decisions and create realistic insights about the business. Data visualizations apply to annual reports, sales reports, dashboards, marketing materials, and any information that requires immediate interpretation.
Many data visualization tools help data scientists perform their job efficiently. A good data visualization tool should be easy-to-use and versatile, allowing them to visualize data differently depending on business needs. In addition, a data visualization tool provides designers with a more straightforward process for creating visual representations of large data sets. Below are the top ten data visualization tools for data scientists.
1. Tableau
Tableau is a visual analytics tool that aims to transform how we use data to solve problems. The platform has different options, such as a desktop app, server and hosted online versions and a free public version. Similarly, it has hundreds of data import choices, including CSV files, Google Ads and Analytics data, and Salesforce data.
The Tableau public version is free to use for individuals seeking a powerful way to create data visualizations.
2. Infogram
Infogram is a drag-and-drop visualization tool that allows designers and non-designers to create compelling data visualizations for infographics, dashboards, maps, marketing reports, social media posts, and more. This visualization tool also offers a WordPress plugin that makes embedding visualizations easier for WordPress users.
3. ChartBlocks
ChartBlocks says it can import data from “anywhere” using its API, including live feeds. While some say importing data from any source can be done in a few clicks, it’s expected to become more complicated than other apps.
ChartBlocks allows for extensive customization of the final visualization created, and the chart building wizard helps users pick precisely the correct data for their charts before importing the data.
4. Google Charts
Google Charts is a powerful and free data visualization tool for making interactive charts. The app works with dynamic data, and the outputs are more on HTML5 and SVG, so they work in browsers without using additional plugins. It can accommodate data sources, including Google Spreadsheets, Google Fusion Tables, Salesforce, and other SQL databases.
5. Datawrapper
Datawrapper was explicitly created for integrating maps and charts into news articles. The charts and maps created are interactive, making them perfect for embedding on news portals. However, their data sources are limited, with the primary method of copying and pasting data into the tool.
Datawrapper visualization types include column, line, and bar charts, election donuts, area charts, scatter plots, choropleth and symbol maps, and locator maps. Several publications, including Mother Jones, Fortune, and The Times, use their charts.
6. D3.js
D3.js is a JavaScript library for analyzing documents through data. It requires at least an overview of javascript (JS). Some of its advantages are:
- Powerful and customizable
- Large number of chart types possible
- Focuses on web standards
- Tools available to allow even non-programmers to create visualizations
- Free and open source
7. FusionCharts
FusionCharts is also a JavaScript-based tool for designing web and mobile dashboards. It consists of more than 150 charts and 1,000 types of maps. It can work with popular JS frameworks (including React, jQuery, React, Ember, and Angular) and server-side programming languages (including PHP, Java, Django, and Ruby on Rails).
FusionCharts gives ready-to-use code for all chart and map variations, making it easier to embed in websites even for those designers with limited programming knowledge. FusionCharts is also one of our list’s most powerful data visualization tools.
8. Chart.js
Chart.js is a simple but flexible JavaScript charting library. It’s open source, provides a variety of chart types (eight total), and allows for animation and interaction.
Chart.js uses HTML5 Canvas for output, rendering charts well across all modern browsers. Graphs are also responsive, so it’s excellent for creating mobile-friendly visualizations.
9. Grafana
Grafana is open-source visualization software that lets users create dynamic dashboards and other visualizations. It supports mixed data sources, annotations, customizable alert functions, and plugins. That makes Grafana one of the most robust visualization tools available.
Export functions allow designers to share snapshots of dashboards as well as invite other users to collaborate. Grafana supports over 50 data sources via plugins.
10. Polymaps
Polymaps is a dedicated JavaScript library for mapping. The outputs are dynamic, responsive maps in various styles. Polymaps uses SVG to create the images, so designers can use CSS to customize the visuals of their maps.
Honorable Mentions
Conclusion
With the large selection of visualization tools, designers may find it hard to decide which one to use. However, designers should note essential features like being user-friendly and applicability to their specific requirements. Most data visualization tools include free trials, so it’s worth trying a few before deciding on a single platform.
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Technology
Meta Quest 3 vs PlayStation VR2: Which to Buy in 2025?
Published
2 weeks agoon
October 2, 2025In just a few years, virtual reality has made significant strides. The release of Meta Quest 3 and PlayStation VR2 has sparked debates over which headset is the best. So, if you’re a casual gamer, a tech enthusiast, or just a fan of immersive entertainment, this article can help you choose between the two. Let’s break it down.
These two are regular placers on lists of the best headsets, thanks to their lower price. However, what makes these VR headsets great is that despite the lower price, they deliver high quality. If you’re looking for VR headsets that are less expensive, these two are excellent options. Here’s a head-to-head review of Meta Quest 3 vs PlayStation VR2:
Design and Setup
Meta Quest 3 comes from a long line of Meta’s standalone, wireless VR. You won’t need a PC or console to run this bad boy. It’s also totally portable, setting up in seconds and allowing you to jump straight into the game or mixed reality experiences. Its new Touch Plus controllers are designed to be more ergonomic, making hand tracking smoother than ever.
On the other hand, PlayStation VR2 is tethered to a PlayStation 5. This means you have to deal with a cable, which can be a small price to pay for more powerful visuals and deeper immersion. Its headset boasts impressive features, including eye tracking, haptic feedback, and adaptive triggers. This allows for the headset to feel like an extension of your body rather than a piece of technology.
Visuals and Performance
Both headsets offer impressive display quality:
- Meta Quest 3: has a resolution of 2064×2208 per eye, a 120Hz refresh rate, and a broader field of view than its predecessor.
- PSVR2: displays 2000×2040 per eye on an OLED panel, also featuring a 120Hz refresh rate and HDR support for richer colors and deeper blacks.
It’s clear that Quest 3 has slightly higher resolution, however, PSVR2’s OLED display and eye tracking make it more realistic and responsive.
Game Library
Focusing more on a strong lineup of standalone VR titles, Meta Quest 3 features Laser Matrix, BlackGate, and Tracked: Shoot to Survive. It also supports many of the classics from Quest 2, such as Beat Saber, Superhot VR, and Resident Evil 4 VR. You can find more at Meta’s store as it continues to grow, with mixed reality experiences thrown in.
PSVR2 is ideal for those into cinematic and console-quality games. It offers titles like Astro Bot, Horizon Call of the Mountain, Hitman 3, and Aces of Thunder that powerfully show what the hardware can do. If you’re already a PS5 gamer, you’ll find a smooth transition into VR gaming with familiar franchises and high-end polish.
Price and Value
- Meta Quest 3 prices start at around $500, with a budget-friendly Quest 3S model for $300.
- PSVR2 is priced at $399.99, but it requires a PlayStation 5, which can increase the overall cost.
So, if you’re starting from scratch, Quest 3 gives better value. However, if you already own a PS5, PSVR2 becomes the more appealing option.
Final Verdict
So, which VR headset should you go for in 2025?
– Go with Meta Quest 3 if you want to be free from wires. You’ll love its portability and enjoy a growing library of standalone and mixed reality games.
– Choose PlayStation VR2 if you love high-end visuals. Its console integration and immersive gameplay push the boundaries of what VR can do, which can be a strong deciding factor for some.
Both headsets are excellent in their own right. The only factor worth considering is the type of experience you’re seeking.
It’s a little surprising to most people that cloud-based software is behind most operations on the internet. Cloud services comprise a considerable component of the international information technology infrastructure as it provides means of Data Storage and Access.
Furthermore, it’s also a means to develop, grow, and maintain applications and databases on the world wide web. If you have a company, there needs to be some sort of central command point that stores your information and operates your requirements.
Essentially, a cloud-based application is defined by a program that manages the storage and housing of information. The following are typical examples of what cloud-based software includes:
- Storage, servers, and networking
- Possibility for developers to build, test and operate applications
- The ability for users to connect to web-based and mobile applications
Here are some cloud-based software examples you’ll want to check out.
1. Amazon Web Services
Amazon Web Services is one of the largest and best cloud computing services out there. It has a comprehensive set of computation, storage, and database solutions developers need for projects. Aside from these advantages, it’s also widely used – in fact, it’s currently available in 84 zones across 26 regions. Plus, it can be used on its own or connected to another cloud computing platform. AWS is free for all users.
2. Google Cloud Platform
Meanwhile, Google Cloud Platform (GCP) is another public service provider you shouldn’t miss. The GCP is best for developers who want to scale their infrastructure at a quick pace. Aside from that, users can take advantage of the service’s AI, analytics, and data management capabilities. It uses virtual machines and hard disks at Google site centers to facilitate its operations. GCP has free trials for first-time users, but its primary payment method is pay-as-you-go.
3. IBM Cloud
IBM Cloud is a highly customizable service that lets developers choose their preferred tools, data model, and delivery models. Developers can use it on its own, but it’s a service best used with other programs. Users prefer it over other services because of its high reliability, pre-installed security feature, and dual-stack IP capabilities. IBM Cloud is free to use.
4. Microsoft Azure
Microsoft Azure is one of the best cloud-based applications if you want a vast network across regions. It’s tailored for developers, and IT teams because of its flexible storage solutions, container and load balancing features, and other core cloud services. Plus, it supports various languages, tools, and operating systems. A free trial of Microsoft Azure will last you for 30 days, but their hourly rate starts at 2 cents per hour for 20GB.
5. Huawei Cloud
Huawei Cloud is a trusted global cloud service provider featuring robust and secure services to serve enterprises of any size. Computing, storage, and AI-based solutions boast extensive scalability and performance. Generally based out of Asia for extensive applications, Huawei Cloud is rapidly expanding into global markets, becoming a leading competitor for adaptive enterprise cloud needs.
6. Oracle Cloud
On the other hand, Oracle Cloud also offers basic cloud services tailored to enterprises. It’s suitable for both companies and developers to connect and share their applications online. Like other platforms, it provides storage, network, and applications through its data centers. Like other platforms, Oracle Cloud has tough security and reliable networks to ensure your data’s safety. This option has subscription-based and integrated services for any kind of online business.
7. Alibaba Cloud
Alibaba Cloud is the leading cloud service provider in Asia and the Pacific, but huge in China. It has all the essential cloud computing services but includes elastic computing, machine learning, big data analytics, and a host of other features. Plus, it’s a scalable option that users can use by itself or with other networks. To date, it has 25 regional centers all over the world. The Alibaba Cloud is available as a pay-as-you-go service.
8. DigitalOcean
Meanwhile, if you’re looking for a simple option that’s better for small operations, DigitalOcean is for you. DigitalOcean focuses on IaaS and offers all the basic and core tools for only $6 a month. That said, it allows users to create VMs, deploy Kubernetes clusters, manage databases, and more. This option is one of the best for beginners for its friendly interface and cheap plans.
9. Tencent Cloud
After Alibaba, China’s next largest service provider is Tencent Cloud. It’s a great option for storage, data migration, and analysis. In addition, it has powerful computation abilities with automatic scaling, CVMs, and auto-scaling. Plus, it also has scalable file storage and CDN. Apart from that, users can also get cloud storage and a strong security feature with this option. Tencent Cloud has over 500 locations all over the world.
10. Salesforce
Meanwhile, Salesforce is one of the best cloud-based software solutions for businesses. It has CRM, sales, ERP, mobile apps, and more features. It’s best if you want customer support features to keep track of orders, manage clients, and track leads. You can also choose to add customer service data with records from other clouds. This option starts at $25 per month.
Factors to Consider When Choosing Cloud-Based Software
Need tips to find the best cloud-based software for you? You might want to take a look at these factors first.
First, check how payment works. Most platforms use a pay-per-use method, but others favor subscription-based plans. Next, you want to review their main services and whether they’re fit for your niche. For instance, developers and IT teams are better off with services like AWS and GCP. Salesforce, on the hand, is the best option for online shops and small teams.
You may also want to look at migration support and exit strategies. Some services have a vendor-lock rule that prevents you from moving to other services. Finally, pay some mind to their data management and security policies. You want to make sure your applications are secure and protected. In sum, do your dues and check for the reliability of the service you’re looking at. Check the cloud-based software advantages before making the jump to commit.
Artificial intelligence (AI) technologies continuously evolve and power various processes around us. Similarly, AI is one of the significant growth drivers in the semiconductor industry. It is because AI generates large amounts of data much faster and makes predictions more accurately than humanly possible.
MemryX is a startup focusing on AI processing for edge devices and is creating new technologies to address this emerging market. Let’s take a closer look at MemryX and its future directions.
Company Background
MemryX Inc was established in 2019 by Dr. Wei Lu to create an AI accelerator suitable for Edge devices. Dr. Lu has been an Electrical Engineering and Computer Science professor at the University of Michigan since 2005. He specializes in memory systems, neuromorphic computing, and in-memory computing system. Dr. Lu and his team spent almost three years developing and proving MemryX’s unique approach.
The company’s website lists Dr. Wei Lu as CTO and Co-Founder, while Keith Kressin is the President and CEO. Dr. Mohammed Zidan is the VP of Architecture, and Roger Peene is the company’s VP of Product & Business Development.
Just this March 2025, MemryX has raised $44 million in Series B funding through the support of new and existing investors. Their Series B founding comes at an opportune time of the MemryX’s announcement of the production quality of their MX3 Accelerator chip.
The Target and Flag Plant
Since the start, MemryX’s goal has been to be the leading provider in the edge AI semiconductor market. After all, this industry to projected to grow rapidly over the years because there’s ample demand for low-power and efficient AI accelerators.
Its target has always been industries that need real-time AI processing at the edge, such as automotive, smart devices, healthcare, industrial automation, and IoT.
As mentioned earlier, the company’s flagship product, the MX3 AI Accelerator, has moved beyond initial sampling and is now in full production. Because of this, it has earned industry recognition for its performance and ease of integration. Its innovative dataflow architecture allows developers to deploy complex AI models with minimal energy consumption and latency.
Strategic partnerships, such as its collaboration with the National Semiconductor Hub in Saudi Arabia and membership in the Edge AI Foundation, signal its ambition to expand globally while shaping the standards of the edge AI ecosystem.
The Challenge
Because of the rapid adoption of AI, there’s a challenge to have powerful models out of the cloud and into the real world without being overwhelming to devices in terms of not only power but also heat and complexity.
That said, CPUs, GPUs, and other traditional processors may not be ideal for real-time use beyond their use for training models. With that in mind, MemryX may find various challenges:
- High power consumption. A lot of accelerators drain too much energy, limiting their use in mobile or embedded devices.
- Latency issues. Cloud-based AI introduces delays that are unacceptable for applications like autonomous driving or medical imaging.
- Complex deployment. Running models on diverse hardware often requires extensive optimization and developer expertise.
- Scalability concerns. As models grow larger, businesses need solutions that can keep pace without ballooning costs.
Amid these challenges, MemryX saw an opportunity. It found a way to build a chip architecture with a dataflow-driven design, making edge AI both scalable and accessible.
Conclusion
The successful Series B funding in 2025 and partnerships with organizations like the National Semiconductor Hub in Saudi Arabia and the Edge AI Foundation show that MemryX is no longer just an emerging startup. It is an influential player with global ambitions. Recognition, such as the 2025 Edge AI and Vision Product of the Year Award, further validates its technology and market impact.
In short, MemryX has planted its flag as a serious contender in the semiconductor space, turning vision into execution and execution into momentum.