Trending February 2024 # Which Is Better For Product Page Seo: Single Page Vs. Multi # Suggested March 2024 # Top 11 Popular

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Today’s Ask an SEO question comes from Tiffany in New York. She asks:

“From an SEO perspective, which one is better, single page vs. multi-page design? For instance, within a product page, shall the spec, support be separated to different tabs with distinct URLs under product page or shall they be combined to one page?”

Great question! Because I don’t know your specific situation or website, I’m going to respond in general.

The easy answer is a single page for the information.

This makes the content easier for Google to find and you have less to worry about I.T.-wise.

However, this answer also depends on your situation.

I have one client with thousands of product reviews on their pages for multiple products.

These reviews include images uploaded by customers and sometimes videos.

These reviews weigh the page down and when we paginate it destroys our crawl budget.

For them, I did recommend splitting things up and it worked.

But that was specific to their situation and is not right for everyone.

How to Determine Which Approach Is Right for You

One exercise you can do is list out the types of variants, folders, and alternate URLs you may need.

Now ask yourself why each variant does or does not deserve a unique URL, folder, or parameter.

Think about any inherent value to doing this. For instance:

Does the product have a massive search volume for reviews? Then a review page is the best experience for the shopper.

Is a dedicated URL, folder, or variant a better experience for the end-user? Think about a heavier search volume for a specific size, color, or material. These instances could include:

Color variations.





If the product page itself is the best experience, then we keep it as a single URL.

If we do go with parameters, folders, and unique URLs, it is important to check your site structure and search engine signals. This includes your:

You’ll also want to check Google’s search results and your account in Search Console for indexation bloat.

If all of these excess pages and variants start eating up your crawl budget you could have a big problem in your near future.

A single URL is normally better. There is less room for error and it is easier to maintain.

But that doesn’t always mean it is the only right way to do it.

I hope this helps!

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Go Vs. Python: Which One Is Better?

For those programmers who work as a freelancer or working in small IT firms, it is extremely important to suggest the client/company regarding the best programming language suitable for their requirement.

There are several options available in the market for different needs, It’s slightly challenging to pick the right one for the client’s requirement.

If we speak specifically about the backend web development, Then we’ve got Java, Python, chúng tôi Go along with some other top used programming language/framework.

So here it is quite important for the programmer to understand more about the key difference between Python, chúng tôi Go, Java so they can choose which language/framework to choose based on their requirement.

Within this article, we’ll dig deep and understand the difference between Go vs Python.

GO language overview

Golang is a young programming language created by Google in 2007 and it had been popularized to the general public in 2009. Golang syntax relies on the C language, which eliminates the unnecessary odds of languages such as C++.

This is a statically typed language using a sophisticated and remarkable library, along with incomparable execution speed and functionality.

Therefore, Golang provides a whole lot of features of other programming languages, such as system and pointer arithmetic, type inheritance, andoperator overloading.

Additionally, Golang is a compiled language that provides more features than C. Nevertheless, it doesn’t support inheritance into a simple programming interface. It’s far faster than interpreted languages like Python.

Key Functionalities and uses:

Golang programming language functions on multiple tasks at precisely the exact same time since it supports concurrency.

It’s acknowledged from the cloud-computing & cluster computing field. Consequently, Golang) is frequently used for web developments.

Golang has the choice of a package for backend web development for building APIs and is simple to set up.

Features of Go

Here, are important features of the Go language

Open-source programming language

Great variety of libraries

Statically typed language

Compiled programming language

Best package management

Simple concurrency support via goroutines

Provides powerful standard library

Support for concurrency

Designed and developed at Google

Readable and easy code

Python overview

Python is a high-level most popular general-purpose programming language released in 1991. It’s an open-source platform. Python code is simple to write, read, debug due to its own code brevity.

Python is an interpreted language. It’s simple to give commands with the command line. Users may use the command prompt to execute python scripts. Python also supports data structures like lists, dictionaries, and tuples, provides very easy syntax, It’s capable of adequate different tasks:

Key Functionalities and uses

Python provides a more typical approach to Machine-learning and deep-learning projects. There are several libraries and frameworks offering support to programmers to create their projects.

Data scientists and Data analysts embrace the Python language since there are a huge number of frameworks and libraries for both data and research viz. Satisfactorily.

Also read: Top 10 Job Search Websites of 2023

Features of Python

Here, are significant features of Python

● Simple to deploy the statically linked binaries

Drawbacks of Go

● Difficult to manage errors and not very simple to learn.

Drawbacks of Python

A comparison between Go vs. Python


For almost any programming language, among the important factors is its own performance. While Python isn’t so slow for creating websites, But Golang is quicker than Python.

Also read: 14 Best Webinar Software Tools in 2023 (Ultimate Guide for Free)


Golang has greater support for concurrency without using lots of resources whereas Python requires many resources for concurrent procedures. Golang is much favored for backend development since it can manage enormous requests with higher concurrency.

Scalability of Go vs Python

Scalability is the ability of an application to deal with an increasing amount of work, or its capacity to be expanded to accommodate this growth.

While creating an application, it’s also one of the essential things that ought to be taken in every phase of development. An application is totally useless for any company if it is not scalable.

Error Handling

Good error handling is a vital necessity of good language. Go is a statically, strongly typed programming language using a great method to manage errors. Whereas Python is a dynamically typed language, so it reveals more errors at run-time

Learning Curve of Go vs Python

Golang is a simple, easy to comprehend programming language with simple syntax. Although Python also includes a very simple syntax, Golang is easier to learn and work with. Golang relies on the C language therefore that it could be trusted by everybody.

Golang came into existence to address technical problems at Google, and consequently, it’s more pragmatic. You do not have to stress much on language structure to be able to build classic websites and applications.

Library or Package Support

Python includes a massive collection of libraries. Python is richer in the library when we compare using Golang, however, Golang has also enough libraries for web development, encryption, and concurrent programming.

No doubt Golang has lots of also built-in functions, and you’d rarely have to rely on additional libraries and tools.

Brands who use Go vs Python

It’s also among the very significant factor for virtually any programming language that creates confidence for new IT businesses to utilize it with no hassle.


Google, Docker, BaseCamp, BBC, Medium, Dropbox, and more.


Also read: 14 Best Webinar Software Tools in 2023 (Ultimate Guide for Free)


After taking all these into consideration, your use case is going to be the deciding factor in which language to adopt.

Given a situation where you’re establishing a development team to create microservices, Golang would be the more sensible choice here because it’s both fast, simple to code together, and can scale well. Python, on the other hand, is aimed towards AI, ML, and data analysis.

So going head to head, Go would emerge on top in many instances and is regarded as a legitimate alternative to using Python. Developers should pick a programming language considering their character and size of the development project in addition to the skill set of the involved.

The great news, however, is that no matter of selection, the two languages are ever-evolving. While Golang may look like an obvious option in most cases, that the Python community is not simply sitting back and doing nothing.

Monica Ross

Monica Ross is a content writer and manager at Devathon – One of the leading web and app development company. She writes mainly on web development, mobile app development, AI, and technologies around them.

Excel Vs Power Bi – Which Is A Better For Decision Making?

In today’s fast-paced business landscape, making informed decisions is essential for the success of organizations. Understanding popular business intelligence tools and their unique features is crucial for harnessing their true potential. Both MS Excel and Power BI offer impressive capabilities regarding data analysis and decision-making. However, determining the best choice depends on specific requirements. This article will delve into the strengths and specific use cases of MS Excel vs Power BI, helping you decide which tool to choose for your business needs.

What is MS Excel?

Microsoft Excel is a powerful and user-friendly tool that enables data organization, manipulation, analysis, and visualization. It offers essential functions for data processing, cleaning, and transformation. With built-in features like data analysis tools, pivot tables, and charts, Excel is valuable for data analysis and visualization. It also provides decision-making capabilities through features such as Goal Seek, Solver, Decision Trees, and Sensitivity analysis, allowing users to make informed decisions based on summarized data. Power pivot and query play a significant role in decision-making by facilitating data modeling and transformation. Excel is a versatile tool that empowers users to analyze data and make effective decisions.

What is Power BI?

Power BI is another decision-making table offered by Microsoft capable of competency with Excel. It serves similar functions to Excel, such as data transformation, decision-making, connection to different data sources, integration, visualization, and presentation. Power BI has its characteristics, such as the ability to create dynamic and interactive reports and real-time dashboards. It also involves data modeling, forming relations between different data, and searching for dependencies within the data.

Besides, the data querying through Power Query is an intriguing feature allowing data processing actions such as cleaning. Shaping and transforming data through an intuitive graphical interface. As a Microsoft product, it also provides core features and services as a comprehensive and user-friendly business intelligence tool.

Best Features of Excel

Sorting and Filtering: Easily organize data by using sorting and filtering functions.

Grouping and Outlining: Group rows or columns and collapse/expand them for improved readability.

Freezing Rows or Columns: Keep headings static while scrolling for easier comparison.

Custom Formatting: Customize cells with different colors, borders, and font styles.

Formulas and Functions: Perform data manipulation using a variety of formulas and functions.

Data Cleaning and Transformation: Split or merge cells, remove duplicates, and perform tasks like concatenation.

Conditional Formatting: Highlight specific data based on defined criteria.

What-If Analysis: Analyze different scenarios to explore potential outcomes.

Sensitivity Analysis: Evaluate the impact of changing variables on data and decision-making.

2. Data Manipulation Techniques in Excel

CONCATENATE: Combines data from different cells into one cell using the CONCATENATE(text1, text2, text3, text4,…) formula.

DAYS: The DAYS(end_date, start_date) formula calculates the days between two dates.

NETWORKDAYS: Automatically excludes weekends when calculating the number of working days using the NETWORKDAYS(start_date, end_date, holidays) formula.

LEN: Determines the number of characters in each cell using the LEN(text) formula.

AVERAGEIFS: Calculates the average of multiple parameters using the AVERAGEIFS(avg_rng, range1, criteria1, range2, criteria2,…) formula.

COUNTA: Counts the number of non-empty cells in a range using the COUNTA() function.

HLOOKUP: Searches for a value in the top row of a table and returns a corresponding value from a specified row using the HLOOKUP() function.

VLOOKUP: Searches for a value in the leftmost column of a table and returns a corresponding value from a specified column using the VLOOKUP() function.

COUNTIFS: Counts the number of cells that meet multiple criteria using the COUNTIFS() function.

IF: Performs logical tests and returns specified values using the IF() function based on the conditions.

Also Read: Learn all the Excel Formulas, Applications and Shortcuts with our Free course

3. Visualization Options in Excel

Representation MethodsPurposeColumn ChartVisualizes changes over time or comparisonsBar ChartRepresents data horizontallyLine ChartSuitable for sequential or continuous categoriesPie ChartDisplays proportions of different categoriesScatter PlotShows data point distribution and trend correlationArea ChartVisualizes cumulative or stacked dataRadar/Spider ChartUtilizes multiple axes for data representationHistogramDisplays numerical data distributionHeat MapRepresents data values across a grid using colors3D ChartDepicts data through 3D columns, surface, pies, etc.SparklinesCondensed charts in a single cellData Bars, Icon Sets, Color ScalesDisplay conditional formatting Source: My Online Training Hub

Best Features of Power BI 1. Data Importing and Transformation Capabilities of Power BI

Data importing capabilities:

Connection with various data sources (cloud services, files, databases, online services)

Built-in connectors

Data query function for direct connection to data sources

Folding query functions for efficient data handling

Data transformation capabilities:

Query editor with a visual interface

Filtering, merging, sorting, pivoting, splitting, and transforming data

Built-in functions for data manipulation

Cleaning tasks (correction, duplicate deletion, etc.)

Advanced transformations (custom column creation using M language, appending multiple queries, splitting columns)

Shaping and structuring data

Query dependencies and refresh option:

Set the order of query execution

Automatic data refresh schedules

Specify the transformation method for automated execution.

2. Building Interactive Dashboards in Power BI

Building reports in Power BI begins with report pages where each page contains the same or different visualizations for data structure presentation. The layout and formatting must be customized to add variety and uniqueness by adjusting the design, color, fonts, backgrounds, and schemes to match the aesthetics. Power BI allows report interaction, drill-through actions, buttons or links for additional report navigation, and effortless and time-saving report formation.

Source: Microsoft

3. Advanced Analytics Features in Power BI

FeatureDescriptionDAX (Data Analysis Expressions)Calculation and data modeling using a formula language for creating custom calculations and chúng tôi Intelligence FunctionBuilt-in functionality for analyzing data over specific time periods, comparing data in different time frames, and calculating year-to-date values.Statistical FunctionsFunctions for descriptive statistics, aggregations, and analyzing historical data.ForecastingTechniques for predicting future trends and values based on historical data.Quick InsightsAutomatic summarization of data and generation of insights for quick chúng tôi ModelingEstablishing relationships and connections between tables and data sources, creating calculated or derived columns, and defining measures.HierarchiesOrganizing and navigating data through hierarchical arrangements.Custom ScriptsWriting custom scripts for complex data transformations and manipulations.Conditional StatementsApplying conditional logic to data transformations and calculations.Parameterized QueriesCreating queries with parameters to dynamically modify data retrieval and transformations.

Benefits and Limitations of Excel for Decision Making

Familiarity and accessibility due to Excel’s extensive usage are among the most common perks of its use. It couples with effortless data organization, analysis, and visualization through a user-friendly interface and a categorized options display. The customization features, collaboration, real-time editing option, and sharing with import facility make it the preferred tool.

Benefits and Limitations of Power BI for Decision-making

Power BI aids individuals in decision-making through interactive data visualization options and self-service analytics that eliminate the dependency on IT or data analysts. The user-friendly interface, real-time data monitoring, data consolidation, and mobile access are among the top benefits of using Power BI for decision-making.

Key Differences Between Excel vs Power BI Scalability and Handling of Large Datasets

Excel is preferred for regular or small datasets, while Power BI is specifically designed for scalability and efficient data analysis. It comprises an in-memory analysis engine, partitioning options, support for DirectQuery, and data compression techniques, making it superior to Excel. Excel depends on system memory, and calculation speed is relatively slow for larger datasets.

Real-time Data Connectivity and Automated Data Refresh

Real-time data connectivity is more efficient in Power BI as the former requires manual refreshing. Power BI is directly connected to real-time data sources and supports real-time streaming. It also provides scheduled refresh options suitable for routine datasets compared to complex ones.

Interactive Visualizations and Drill-down Capabilities

Excel provides numerous depictions for charting and interactivity through lines, bars, pie charts, and plots. The interactivity and manipulation of chart elements and drill-down functionality for summarization are also possible. But, Power BI is curated with specialized and comprehensive feature sets, provided through cross-filtering, drill-down and drill-through, tooltips and data exploration, and Q&A Natural Language Query.

Collaboration and Sharing Options Integration with Other Data Sources

Excel allows importing different file formats such as CSV files, web services, etc. The integration with online platforms is limited to SharePoint and OneDrive. Power BI provides data connectivity options with SQL Server, Google Analytics, Salesforce, Axure, and SharePoint. The integration here is possible with Azure, Dynamics 365, SharePoint Online, and other Microsoft products.

Learning Curve and Ease of Use Excel vs Power BI Use Cases and Examples

Let us use some scenarios for better understanding the difference between power query and power pivot available in Excel vs. Power BI:

Excel Case Study

Let us assume you are a sales manager who wishes to analyze sales data and make informed decisions concerning sales strategies and forecasting. You will begin with data analysis of data obtained from different regions. Open the same in Excel and use the sorting and filtering functions to find the top-performing productions, sales representatives, sales, or other specific detail. You will have an insight into sales trends and patterns.

One can use power pivot vs. power query to create pivot tables for summarisation into categories followed by analysis via parameters such as period, customer segment, or product category. You can also use pivot tables. Go on for representation via charts and graphs. Subsequently, use forecasting functions to predict future sales according to historical data. Experiment with different scenarios and impacts using Goal Seek or What-if analysis. Combine the insights from each action, look for the improvement areas, resource allocation, alteration in sales strategies, and setting realistic sales targets for exponential business growth.

Source: Excel Data Pro

Power BI Case Study

Let us assume a retail company that aims to analyze sales data and improve inventory management decisions using Power BI. The problem is excess inventory levels, stockouts, and inefficient replenishment properties. The company should begin by importing data from the ERP system, inventory management, and sales database. Post this, they must create interactive dashboards to gain real-time insights with organized and easily interpretable visualizations.

They must begin the action by combining the sales data with inventory levels to recognize the high-demand products, slow-moving items, and potential stockouts. This will guide in identifying the patterns, decoding product demand, and optimizing inventory levels. Next, analyze the supplier performance, identify the delivery times and the reason for the delay or quality problems, and make data-driven decisions. Further, use Power BI for forecasting, demand planning, and drill-down function to analyze data at different granularity levels.

Source: Slide Team

Factors to Consider in Choosing the Right Tool

Aiding in finding the difference between Excel and Power BI, we compare the factors to be considered in choosing the right tool for decision-making:

1. Nature and Volume of Data

Excel can handle small to moderately-sized databases with tabular nature. Power BI is created to handle voluminous data of any complexity. It can also take up data from multiple sources.

2. Decision-making Requirements and Complexity

Source: Havens Consulting

3. Team Collaboration and Sharing Needs

Excel allows multiple sharing options along with real-time writing and editing options. It also provides tracking change options available under different Power BI names. Excel is more system friendly than Power BI, which is also suited for phones. The sharing options on Power BI are, however, limited.

4. Integration with Existing Systems and Data Sources

Considering Excel vs. Power BI, both can integrate with existing systems and data sources. Excel will require manual import and transformations, while Power BI will require a one-time setup for automatic integration and transformation functions.

6. User Preferences and Familiarity

Source: Excel campus

Conclusion Frequently Asked Questions Related

Vyper Vs Solidity: Which Is Better For Smart Contracts On Ethereum?

The Solidity vs. Viper rivalry is well-known to smart contract coders. Both languages have the same functionality, can perform transactional programming, and were created for the Ethereum ecosystem. However, these programming languages weren’t made to compete with each other.

Understanding Smart Contracts in the Ethereum Network

Before dissecting the differences between Solidity and Vyper, it’s important to know why these languages are necessary. Solidity and Vyper are used to create smart contracts. Unlike regular contracts, smart contracts add extra layers of security and verification to an agreement.

Ethereum utilizes the Ethereum Virtual Machine (EVM) to execute its application code or smart contracts. It provides a run-time environment that runs on top of the Ethereum network.

As it’s Turning-complete, EVM can run any program coded in any programming language. While this feature is welcomed, it makes it even harder for programmers to decide between Solidity, Viper, or even Huff or Yul. All are great languages, but they also have their weaknesses.

A Brief Overview of Solidity

Solidity is the most popular high-level language by Defi (decentralized finance) TVL (Total Value Locked) and is similar to JavaScript. Most developer tools are designed for Solidity first, which is why students opt for a Solidity bootcamp before looking into Vyper, Huff, or Yul.

A Brief Overview of Vyper

Vyper is the second most popular high-level language by Defi TVL and is similar to Python. Like Solidity, Vyper was created for the EVM but wasn’t designed to compete with Solidity. Vyper was made to improve Solidity by enhancing readability and limiting specific coding practices.

How Solidity and Vyper Compare and How to Choose

While Solidity and Vyper can execute the same function, they don’t do so in the exact same way. There are also aesthetic differences between the two that may affect your choice.

Solidity is Significantly More Popular Than Vyper

According to DefiLlama, 90% of smart contracts are secured by Solidity, but less than 7% are secured by Vyper. If you’re looking for a programming language that offers the highest hiring potential, choose Solidity. With that said, knowing both can make you a sought-after talent.

Solidity and Vyper Are Quick and Simple to Write

Solidity and Vyper are simple to write, making both languages smart to adopt, especially as Ethereum becomes stable. With that said, Solidity is easier to learn if you have a background in JavaScript, whereas Vyper is simple for coders who know Python like the back of their hand.

Developers would consider Solidity a general-use smart contract language, whereas Vyper is made to be minimalistic and easily audited. Solidity and Vyper can use most frameworks, like Foundry and Brownie. However, Vyper needs to use a plugin to connect to tools like Hard Hat.

Vyper is Technically More Gas-Optimized of the Two

Lower-level languages like Yul and Huff are more efficient than Vyper and Solidity, but Vyper is much more efficient than Solidity. This makes sense because Vyper’s code is less bulky than Solidity. However, this comes at a cost, as Solidity runs more checks and protections.

Solidity Performs More Checks Automatically

Vyper, despite it being a high-level language, performs the same checks as low-level languages, Huff and Yul. Solidity starts by creating a free memory pointer, which controls memory management. When you add something to the memory array, this feature points to the end of it.

In Solidity, you can declare any array without size, but you can only have a dynamic array in Vyper if it’s “bounded.” Solidity is easier to use for this reason. With that said, declaring the bounds of an array can reduce gas usage and possibly prevent more denial-of-service attacks.

Vyper could be used to run the same checks as Solidity; you just need to program them in first. But when you do, you could save more time and gas, which is great for experienced coders.

Vyper vs. Solidity: Which Option is Better for Smart Contracts?

In the end, Vyper and Solidity are both great for smart contracts. Unlike Huff and Yull, Vyper and Solidity can secure your Ethereum transactions at the highest level. The only main differences between the two are their gas costs, popularity, and automation, as both are simple to write.

Xbox Series X Vs Gaming Pc: Which Is Better?

The Xbox Series X is a powerful video game console that has yet to reach its full potential. It’s still early days, therefore, we expect to truly see what this device is capable of in the coming months and years. However, the big question right now is how does the Series X compare to a full-fledged gaming Windows PC?

Let’s be honest about something here. You’re not going to build a gaming PC that compares to the Xbox Series X for the same amount of funds. The Series X cost around $500, while an equivalent gaming PC would set you back more than $1,000 or more. Still, we must consider that the Series X is limited in what it can do.

Xbox Series X vs Gaming PC

Hardware Specs



Which is best for you?

1] Xbox Series X vs Gaming PC: Hardware Specs

As we have stated above, the Xbox Series X is no slouch. It comes packed with an 8-core Zen 2 AMD processor alongside an AMD RDNA 2 powered GPU that delivers 52 compute units. From what we have gathered, this is equivalent to AMD Ryzen 7 3700X bundled with Nvidia RTX 3070 or AMD Radeon RX 6800.

If you want to play games at 4K on the cheap, then the Xbox Series X is your best bet at this time. Furthermore, it comes with a super-fast SSD, something most gaming PCs are lacking, even in 2023.

At the end of the day, the Series X is locked in, which means, it cannot be upgraded to be more powerful than it is now. This is where gaming PCs take the lead because if a component becomes outdated, users can easily replace that single piece of hardware instead of buying a new system.

Additionally, if you have money to spare, you can purchase or build a gaming PC that is far more powerful than a Series X. Games will perform much better, giving you the best experience you cannot find anywhere else.

2] Xbox Series X vs Gaming PC: Portability

OK, so if you’re looking for portability, a typical desktop gaming PC won’t cut it due to its size. Since the Series X is smaller, you can pack it up in a bag and travel with it to a friend’s house with relative ease. However, if you are not interested in a video game console for portability, then consider investing in a gaming laptop.

A laptop is the most portable of them all, but bear in mind that the cost of acquiring a powerful laptop for gaming will cost more than a PC or Xbox, so if you have no problem with this, then go ahead.

3] Xbox Series X bs Gaming PC: Games

If you want the largest library of video games known to man, then you need a gaming PC. You will have the ability to play a ton of games, both good and bad without ever getting bored. But when it comes down to backward compatibility, the Xbox Series X reigns supreme due to the actions Microsoft has taken.

Players can play old games from the Xbox One, Xbox 360, and even the original Xbox to a lesser degree. The same cannot be said for the PC because as technology changes, it becomes harder to run older titles that haven’t been updated.

We need to stress that all games coming out of Microsoft game studios will not be exclusive to the Xbox Series of consoles. They will all come to PC, so if you already have a capable gaming rig, then there are few reasons to get an Xbox unless you want to.

Nonetheless, there is one thing that truly sets the Xbox Series X apart, and that is Game Pass. Yes, the service is also available on PC, but the Xbox version contains over 400 games while the service on PC has over 100 titles and growing.

4] Xbox Series X vs Gaming PC: Which is best for you?

When it comes down to which is better, it all boils down to your personal needs. If you want portability and lack the funds to acquire a gaming laptop, then the Xbox Series X is right for you. The same goes if you want to pay a monthly fee to play over 400 games throughout the subscription period without having to pay an extra cent.

For those who want unlimited power that comes at a cost on the pocket, then we suggest looking at a gaming PC for your needs.

Read: How to clear Xbox Series X and Series S cache.

Is the Xbox Series X worth getting now?

The console has been on the market for over a year now, therefore, it now has a lot of content to be considered a viable option for gaming. In the early days, the majority of titles available for the Xbox Series X were older games from the Xbox One, but that has long changed.

Can a regular PC be used for gaming?

Yes, you can use a regular Windows PC for gaming, but you will likely have to stick with playing less demanding titles such as Minecraft, League of Legends, World of Tanks Blitz, and more.

That’s all.

Apple Calendar Vs. Google Calendar: Which One Is Better ?

As the number of meetings is increasing due to work from home, the Calendar app on my iPhone is (slowly) becoming one of my most-used apps. However, I’ve been a part of the Google ecosystem for a long time. But I also use Apple Calendar for its ease of use to add events.

If you also find yourself juggling between Google Calendar and Apple Calendar, look no further. This article goes through the in-depth Apple Calendar vs. Google Calendar comparison of some critical aspects. Let’s take a look and help you decide which one you should use to manage your week better.

1. Calendar interface

While all the calendar apps have a similar layout, Google Calendar and Apple Calendar differ on a few fronts.

In both apps, you can switch between layouts, days, weeks, months, or upcoming events. Moreover, events are color-coded to distinguish them easily. However, they’re a bit better on Google Calendar since it shows some text along with the event name.

Moreover, Google Calendar also shows both month and day views at once. This option is not available in the Apple Calendar app. Although a minor feature, it makes a difference.

Winner: Google Calendar

2. Ease of use

A calendar app, in my opinion, should be easy to use. You shouldn’t waste time setting up new appointments or waste time searching for your events.

Winner: Apple Calendar

3. Adding new event options

When you create an event in Apple Calendar and Google Calendar, you’re presented with plenty of options. Let’s take a look at the options and weigh which service is better.

Apple Calendar’s new event creation screen is straightforward. You can give a title to the event, add people to it, tag the event, and set notifications. Now in iOS 15, you can also create events with video call links or specify the location where the event is.

In Google Calendar, when you tap the + button, you are presented with different options such as creating a task, a reminder, an event, or even a goal. The options in event creation are pretty familiar, such as invite, meeting links, tag, and notification settings. However, Google takes the leap over Apple with its Goal option.

In Google Calendar, you can set goals, such as exercising or building a skill. Once you specify what your goal is, Google Calendar will analyze what the best time for that event will be.

For example, when I set the goal to play badminton in the morning, it automatically created events from 8-9 am. If you’ve set up your calendar with many events and want to find time for some activity periodically, Google Calendar’s Goal option is a must-use.

Winner: Google Calendar

4. Calendar notifications

Both Apple and Google offer a wide variety of choices when it comes to customizing notifications. For Google, you can set default settings for every event, such as reminding you about the event 10 minutes before the start time, as well as remind you about the event via email. Moreover, Google allows you to set custom default settings for custom calendars.

For Apple, the default is set for 10 minutes before the event, which you can customize on a per-event basis. However, Apple’s “Time to Leave” is unique. If you’ve set a location for the event, Apple Calendar analyzes your current location, traffic, and time it takes to reach the event location and suggests you a time to leave so that you can reach in time.

Google doesn’t offer any such capabilities.

Winner: Apple Calendar

5. Integration with third-party calendars and services

Google Calendar has some of the best integration with third-party calendars. You can add events from any third-party source, using links or importing them directly using a file (even CSV is supported). You can also request access to the calendars of your colleagues using their email ID.

Moreover, if you’re a sports fan, Google allows you to import sports fixtures directly into the calendar and supports many sports. For example, you can import the calendar for IPL matches of your favorite team. Next time, you won’t miss a match.

Apple doesn’t offer this functionality in its app. Though it can import Holidays and subscribe to calendars via a link, that’s about it.

Winner: Google Calendar

6. Adding new event suggestions

Google wins this race with ease. Google automatically adds any events that come to your email, such as flight tickets or restaurant reservations, directly to the Google Calendar. This is great since you don’t have to open your email every time you see the event details. Everything is there in front of you.

Apple Calendar also offers similar functionality, though it only suggests you add an event manually. For example, if I receive a text with a date and time in the message, iOS would highlight the date and time so that you can create an event by tapping it. However, it doesn’t add the event automatically.

Some might say that the event suggestion is better since the calendar will be filled with non-important events, but if you’re like me and want to see everything in one place, Google calendar is the one for you.

Winner: Google Calendar

7. Data privacy

Whenever you’re using Google services, this is one area you usually expect to miss out on. However, with recent Google Calendar policy changes, Google has stopped using the calendar data for tracking.

Calendar events aren’t scanned like Gmail and thus not used for tracking purposes. Google Calendar’s privacy policy says:

Apple, on the other hand, maintains user’s privacy here too. All the data used in Apple Calendar is encrypted, and the company doesn’t use any of the data for personalized ad targeting or others.

Winner: Tie

8. Security

When it comes to security, both Google Calendar and Apple Calendar face one big problem. Users, especially during the pandemic period, are reporting an increase in the number of calendar spam. Though both Google and Apple have implemented measures to tackle the calendar virus, sadly, it’s still here. If you’re facing the calendar spam issue on your iPhone, here’s how to fix it.

Apart from the spam, Google Calendar and Apple Calendar do a fair job of keeping phishy events out. However, since both calendars are plagued with spam issues, there isn’t a clear winner here.

Winner: None

9. Availability

Availability is one of the areas where Apple seems to lose points in every comparison. Like its other apps, Apple Calendar is exclusive to Apple devices. This means that the Apple Calendar app is available only on iPhone, iPad, Apple Watch, and Mac. You can access Apple Calendar via iCloud on Windows and Android devices as well, but it’s not as intuitive.

On the other hand, Google Calendar is accessible from almost any platform. It has official apps for iOS and Android devices, and you can easily access Google Calendar from anywhere using a web browser. The experience across all the devices is similar, plus Google Calendar’s web app is pretty interactive and easy to use.

All in all, when it comes to availability, you just can’t beat Google, eh?

Winner: Google

Keeping all the features and aspects in mind, in the Google Calendar vs. Apple Calendar war, Google Calendar takes the cake. It’s well implemented and neatly integrated with the most used email service in the world and comes on top if you’re looking for a Calendar app that works well across devices (even smart speakers, TVs, and even displays).

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