The iPhone 17E’s Biggest Rival Isn’t Budget Android Phones — It’s Older iPhones


The $599 iPhone 17E is a great new entry-level iOS device for someone that wants a budget-friendly phone with many of the premium features as Apple’s flagship phones. In her iPhone 17E review, my colleague Abrar Al-Heeti praised the phone’s feel, higher base storage of 256GB and the inclusion of MagSafe. But even with these perks, I can’t help but notice that there are several other iPhone options that might be a better match for someone shopping in this price range.

Watch this: iPhone 17E Packs More Features for the Same $599 Price

The iPhone 17E’s launch alongside the $599 MacBook Neo provides an interesting comparison for how Apple’s rolling out value options in these categories. The MacBook Neo is an excellent laptop for its price, but its competitors aren’t necessarily cheap Windows laptops or Chromebooks. The Neo is replacing older MacBook Air laptops that were selling at a discount, and is now Apple’s most affordable laptop.

But while the Neo is a compelling option for buying a brand new laptop over an older one, I don’t necessarily feel the same way about the iPhone 17E. There are a number of reasons to still consider an older iPhone instead of a brand-new iPhone 17E.

The iPhone 15 being held in someone's hand

A brand new iPhone 15 costs as low as $530, and has more camera features than the iPhone 17E.

John Kim/CNET

You can still get new iPhones for less than the 17E

Apple’s iPhone 15 and iPhone 16 have many of the same features as the iPhone 17E, but in lots of ways, they are better options. Both phones have a 48-megapixel wide-angle camera that’s similar to the single rear camera on the 17E. But the older flagship phones also have a 12-megapixel ultrawide camera, which the iPhone 17E lacks, allowing for photos and videos of wider scenes at 0.5x magnification. And you can still buy both of them brand new for around the price of the 17E. At the time of writing, the iPhone 15 is $530 and the iPhone 16 is $630 at Best Buy when you activate it on AT&T or Verizon.

You can also buy both devices from Apple using its Certified Refurbished shop. While this technically means the devices were used, it also means Apple itself replaced any necessary parts and is essentially selling the device as new, complete with a warranty and the option to add AppleCare. Apple’s 128GB iPhone 15 is for $529, or if you want to match the iPhone 17E’s 256GB of storage, that model is $619. While that’s $20 above the iPhone 17E’s price, the more versatile dual-rear camera system is an easy reason to choose the iPhone 15, not to mention video features like Cinematic mode and Action mode, which aren’t available on the 17E.

Apple's iPhone 16

Apple’s iPhone 16 does support Apple Intelligence and comes with an Action button.

James Martin/CNET

You do lose Apple Intelligence access by choosing the iPhone 15, but at this time, you aren’t missing out on much, since features like an enhanced Siri are still in the works. Another option is a $619 refurbished iPhone 16 which supports Apple Intelligence and has a programmable Action button, but only comes with 128GB of storage. Stepping up to 256GB costs256GB takes you to $699, which isn’t bad, but you’re now looking at a $100 upcharge from the iPhone 17E’s $599 price to get that ultrawide camera.

While these options let you buy a device that’s new or essentially new, if you’re OK with buying a used phone from a third-party seller, you could get an iPhone 15 Pro with a little bit of work.

Comparing new and refurbished iPhones

Phone Price Storage Retailer Condition
iPhone 15 $529 128GB Apple Refurbished
iPhone 15* $530 128GB Best Buy New
iPhone 17E $599 256GB Apple New
iPhone 15 $619 256GB Apple Refurbished
iPhone 16 $619 128GB Apple Refurbished
iPhone 16* $630 128GB Best Buy New
iPhone 16 $699 256GB Apple Refurbished
iPhone 16* $730 256GB Best Buy New
iPhone 15 $789 512GB Apple Refurbished
iPhone 17E $799 512GB Apple New
iPhone 16 $869 512GB Apple Refurbished
* with cellular service

iPhone 15 Pro Max

The iPhone 15 Pro is easy to find on the used market, and has a lot of perks that the 17E does not have.

James Martin/CNET

Going used can get you an iPhone 15 Pro — but watch for tradeoffs

I closely follow the used phone market and recently tried out a used iPhone 13 Mini to see how it holds up four years after its release. I frequently see used 2023 iPhone 15 Pros at tempting prices in “Renewed” condition on sites like Amazon, Gazelle and BackMarket.

Watch this: I Try Out a Used iPhone 13 Mini in 2025. Can It Be a Better Buy Than an iPhone Air?

Feature-wise, the iPhone 15 Pro blows the iPhone 17E out of the water in every way but processing power. You get three cameras, including a 3x telephoto lens, along with an A17 Pro processor that can tap into Apple Intelligence.

As of this writing, on Amazon, for instance, the 512GB iPhone 15 Pro sells between $557 to $600, depending on the color. That’s the price for an iPhone with at least 80% of its original battery capacity (Apple recommends replacing an iPhone battery when its maximum capacity drops to 80% or lower). The Renewed Premium editioncomes with a battery with a maximum capacity of 90% and costs roughly $620. In both cases, the phones might have visible wear, but nothing that should affect your ability to use the phone.

iPhone 13 Mini battery health screen.

When I tried out a used iPhone 13 Mini, I was constantly bothered by its reduced battery capacity.

Mike Sorrentino/CNET

But notice my emphasis on battery life: My refurbished iPhone 13 Mini’s battery was at 83% capacity, and incredibly frustrating to use. And even though I have a phone insurance credit card perk that would cover the cost of a battery replacement (without insurance, the cost is $69 for the 13 Mini, and $99 for the iPhone 15 and 16), that’s only at official Apple retail stores and they only replace it when the battery goes under 80% capacity. If you’re comfortable dismantling your phone, there are also kits for replacing a phone battery yourself, but that’s very much an “at your own risk” kind of thing. Third-party repair places are also an option for battery replacements but will void the warranty (if there’s any left on the phone).

Many used phones come with a warranty but may have a limited return window. Even if it’s short, this return window can be nice because it gives you time to live with the actual battery life day-to-day. When I bought the used iPhone 13 Mini, it came with a 90-day return period, and I discovered within 15 days that I was having issues with that phone’s battery. Otherwise, you could be looking at adding an extra $99 to pay for Apple to replace the battery, which still might be a deal in terms of the price overall.

The iPhone 17E on a stack of books

The iPhone 17E atop a pile of books.

Abrar Al-Heeti/CNET

You have lots of options if you want a sub-$600 iPhone

The iPhone 17E is a good option for a new phone. It has the latest processor, just enough comfort features like MagSafe, and plenty of local storage for photos and videos. But it’s important to know your options if you’re shopping within this price range for iOS devices, which — now that the iPhone SE line has been retired — are few and far between these days.

You could save money by going for the iPhone 15, especially if you’re upgrading from an older iPhone. Or if you’re comfortable with going used, you can get an iPhone 15 Pro, as long as you pay attention to potential issues like reduced battery capacity.

I’ve listed all the options and their specs next to each other in the following chart for further comparison. That way, you can decide whether you’d rather get a new iPhone 17E or an older iPhone with potentially more features for around the same price.

Apple iPhone 17E vs. Apple iPhone 16, Apple iPhone 15, Apple iPhone 15 Pro

Apple iPhone 17E Apple iPhone 16 Apple iPhone 15 Apple iPhone 15 Pro
Display size, resolution 6.1-inch OLED display; 2,532×1,170 pixels; 60Hz refresh rate 6.1-inch OLED; 2,556 x 1,179 pixels; 60Hz refresh rate 6.1-inch OLED; 2,556×1,179 pixels; 60Hz refresh rate 6.1-inch OLED; 2,556×1,179 pixels; 120Hz adaptive
Pixel density 460 ppi 460 ppi 460 ppi 460 ppi
Dimensions (inches) 5.78 x 2.82 x 0.31 in 5.81 x 2.82 x 0.31 in 5.81 x 2.82 x 0.31 in 5.77 x 2.78 x 0.32 in
Dimensions (millimeters) 146.7 x 71.5 x 7.8 mm 147.6 x 71.6 x 7.8 mm 147.6 x 71.6 x 7.8 mm 146.6 x 70.6 x 8.25 mm
Weight (ounces, grams) 167g (5.88 oz.) 170 g (6 oz.) 171g (6.02 oz) 187g (6.6 oz)
Mobile software iOS 26 iOS 26 iOS 26 iOS 26
Camera 48-megapixel (wide) 48-megapixel (wide), 12-megapixel (ultrawide) 48-megapixel (wide), 12-megapixel (ultrawide) 48-megapixel (wide), 12-megapixel (ultrawide), 12-megapixel (3x telephoto)
Front-facing camera 12-megapixel 12-megapixel 12-megapixel 12-megapixel
Video capture 4K 4K 4K 4K
Processor Apple A19 Apple A18 A16 Bionic A17 Pro
RAM/Storage RAM unknown + 256GB, 512GB RAM N/A + 128GB, 256GB, 512GB RAM N/A + 128GB, 256GB, 512GB RAM N/A + 128GB, 256GB, 512GB
Expandable storage None None  None None
Battery/Charger 4,005 mAh. 20W wired charging. MagSafe wireless charging up to 15W; Qi2 up to 15W Undisclosed; Up to 22 hours video playback; up to 18 hours video playback (streamed). 20W wired charging. MagSafe wireless charging up to 25W with 30W adapter or higher; Qi2 up to 15W Undisclosed; Apple claims up to 20 hours of video playback (16 hours streamed). 20W wired charging. MagSafe wireless charging up to 15W; Qi2 up to 15W Undisclosed; Apple claims up to 23 hours of video playback (20 hours streamed). 20W wired charging. MagSafe wireless charging up to 15W; Qi2 up to 15W
Fingerprint sensor None (Face ID) None (Face ID) None (Face ID) None (Face ID)
Connector USB-C (USB 2.0) USB-C (USB 2.0) USB-C (USB 2.0) USB-C (USB 3.0)
Headphone jack None None None None
Special features Apple Intelligence, MagSafe, Qi2 charging (up to 15W), Action button, Apple C1 5G modem,  Ceramic Shield, Emergency SOS, satellite connectivity, IP68 resistance Apple Intelligence, MagSafe, Action button, Camera Control button, Dynamic Island, 1 to 2,000 nits display brightness range, IP68 resistance. Colors: black, white, pink, teal, ultramarine. Dynamic Island; 5G (mmw/Sub6); MagSafe; water resistant (IP68); wireless charging; eSIM; satellite connectivity Apple Intelligence, 5G (mmw/Sub6), Action Button, Always-On display, IP68 rating, MagSafe, Dynamic Island, 5x optical zoom (120mm equivalent), satellite connectivity, eSIM, Thread networking technology





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PowerBI with SQL Server- Table of Content

What is Power BI?

Power BI is indeed a set of software tools, applications, and interfaces which works together to transform disparate data sources into logical, visualizations, and engaging information. The information could be in the form of an Excel spreadsheet or even a set of blended data warehouses which are both cloud-based and on-premises. Power BI makes it simple to link to various data sources, display and uncover what matters, and share your findings with whomever you choose.

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Power BI’s elements:

Beginning with the three fundamentals, Power BI is made up of various components working together:

  • Power BI Desktop for Windows is a desktop app.
  • The Power BI service is a cloud-based SaaS (Software as a Service) application.
  • In iOS, Windows, & Android smartphones, there are Power BI mobile apps.

Power BI Desktop, the platform, as well as the mobile applications, are all intended to help you generate, distribute, and utilize market intelligence in the most efficient way possible.Apart from them, Power BI has two more characteristics: the Power BI Report Builder, which allows you to create paginated reports that you can distribute through the Power BI service, and the Power BI Data Warehouse. On-premises data server powered by Power BI. After developing your Power BI reports in Power BI Desktop, you may upload them to Power BI Report Server, a report server.Power BI's elements

The Benefits of Power BI

Power BI has a number of features that set it apart from other analytical tools:

  • It has both a cloud-based and a desktop interface.
  • Data warehousing, analytic tools, and interactive dashboards are some of the features available.
  • Customized visualizations can be loaded.
  • It’s simple to scale throughout the entire company.

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What is SQL Server?

SQL (Structured Query Language) is a crucial skill in the field of data science, and it’s quite simple to master. Most people, however, overlook the fact that SQL is more than just generating queries, but that’s only the first step. It’s a different matter to ensure that inquiries are efficient or even that they match the environment in which you’re working.

Microsoft’s SQL Server is a relational database management system (RDBMS). It was created largely to compete with the MySQL and Oracle databases. The standard SQL language is supported by SQL Server. T-SQL, SQL Server’s own version of a SQL language, is included (Transact-SQL).  T-SQL stands for Transact-SQL, a Microsoft proprietary language. It also has the ability to declare variables, handle exceptions, and run stored procedures, among other things. Another important interface tool for SQL Server is SQL Server Management Studio (SSMS), which works in both 32-bit and 64-bit settings.

SQL Server helps to run several services at the same time, each with its own ports, logins, databases, and so on. These are separated into two categories:

  • Primary Instance.
  • Instances with a Name

There are two methods for gaining access to the primary instance. We can start with the server name. We can also utilize its IP address. By attaching a backslash and the instance name, you can access named instances.

Is SQL important for Power BI?

Power BI Desktop’s ability to conduct T-SQL queries gives you useful resources for retrieving SQL Server data. Perhaps you’ll be able to get the most out of the SQL Server query engine, and you’ll also be able to reduce the amount of the datasets are imported into Power BI Desktop and the number of modifications you have to do.

To take this technique, you’ll need to know how to utilize T-SQL, and if you do or can find someone who does, you’ll have a lot of flexibility when dealing with SQL Server data. Even if you extract data table by table, you still have a variety of powerful tools for interacting with SQL Server data & organizing it for use in Power BI visualizations. Whereas the Power BI service allows you to retrieve data from a variety of sources, it will not have a SQL Server data connector. One could export SQL Server files and then import them into the service, but you can’t connect immediately from service to SQL Server, regardless of the fact that SQL Server seems to play a crucial role in many organizations today. The more you know about importing and transforming SQL Server data in Power BI Desktop, the better.

Prerequisites to connect Power BI To SQL Server

  • Before you begin, join up for the free trial of Power BI, in case you do not even already have one.
  • On the local computer, install the Power BI Desktop.
  • Download SQL Server within a local computer and recover a backup of the demo database.
  • In the local computer as SQL Server, install the data gateway.
  • Consult a network administrator in the organization if you aren’t a network administrator and wouldn’t want to set up a gateway yourself. They’ll be capable of creating the data source configuration needed to link your dataset to the SQL Server database. Import Data connectivity mode must be used if you’re going to employ a saved procedure.

Step by Step approach to Connect Power BI to SQL Server

1. Power BI Desktop and installation

Power BI Desktop seems to be a free tool that you can download and install on your computer. It may link to a variety of data sources. Normally, an analytical project starts with report development in Power BI Desktop. The data is subsequently uploaded to the Power BI service, where it may be associated with the Power BI Mobile applications, allowing users to access the reports on their mobile devices.

Power BI Desktop and installation

Installation

Power BI is only available on Windows computers. Users on Macs may either create a Windows VM on Azure and install Power BI there, including using Turbo.net, that could broadcast Power BI instantly towards the Mac from either the cloud.

There are two ways to use Power BI:

  • We can download this from the Microsoft Store as an application and simply login in and get going. This would be the device’s digital equivalent.
  • We often have to operate with the information in offline mode. In these kinds of cases, download the software first rather than install it locally. Take the time to read through the entire installation guide.

Download the application to the system, based on the products you’ve chosen. Check the installation via selecting the Power BI Symbol after approving the license agreement. If the screen below shows, you’re ready to begin.

Power BI Symbol

2. Workspace

Let’s have a look at how Power BI Desktop works now. We’ll have a look at it in another part to get an idea of how it works.

The graphic below depicts the key characteristics of Power BI’s workspace..

Workspace

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3. Data Source

A variety of data sources could be connected to Power BI. The Get Data button toggles all of the data sources that may be used to import data into Power BI.

Data Source

4. Connecting to SQL Server

Let’s look at an example of connecting a SQL server dataset to Power BI Desktop and using that to examine the data.

Database Example

We’ll have to use a publically available SQL Server installation on AWS for the demonstration, as well as a database built from the Superstore dataset.

Our goal as Data Analysts would be to assess the data and identify significant areas of concern inside this hypothetical firm. 

Getting into the sample database

SQL Server Management Studio should be installed (SSMS). SSMS seems to be a free and fully integrated management environment for every SQL system. SSMS allows you to install, manage, and modify the data-tier components that your applications rely on, and also create inquiries and workflows.

After you’ve downloaded and installed the software, you’ll see the page below, which will prompt you for particular credentials.

Connecting to SQL Server

1. Insert the given information:

Server Name: ec2-52-14-205-70.us-east-2.compute.amazonaws.com

Authentication: SQL Server Authentication

Login: SQL

Password: SQL

The ‘SuperStoreUS’ database will indeed be accessible as a ‘Read Only’ user. As our sample, the instance is ec2–52–14–205–70.us-east

2. compute.amazonaws.com, the databases are SuperstoreUS and Test, and the tables inside the SuperstoreUS database are Customers, Orders, and so on. As a result, there could be lots of instances, each of which can have multiple databases, each of which would contain various tables.

SQL Server Authentication

5. Importing SQL data into Power BI

The data is organized into searches by Power BI Desktop. It implies that all of the information is organized in a table-like format.

Making the connection

Proceed to the start button by opening Power BI Desktop. The Get Data tab pane gives you a number of options when it comes to sources of data that could be linked to the Power BI Desktop. We’ll establish a connection to the SQL Server.

connection to the SQL Server

When you select SQL Server, a fresh screen will appear, asking again for the server with which we wish to connect our Power BI Desktop. Fill in the blanks, and you’re finished. We could now inspect the details of the selected table by clicking on it. For uploading a certain table, merely check the box beside it click the load button.

SQL Server

Modes of Data Connectivity

Power BI Desktop may link to a SQL database in two distinct ways, both of which display on the homepage.

Import

The import technique, as the title suggests, ‘imports’ the chosen tables onto Power BI Desktop. The imported data is therefore used by Power BI to create a visualisation or perform any adjustments. We must reload the data to view any modifications in the data, which re-imports the full data set.

DirectQuery

No information is incorporated or transferred to Power BI Desktop if DirectQuery is selected as an option. Power BI Desktop searches the fundamental data source while we generate or process the information through visualisations, ensuring that we’re still dealing with the most recent data. Nevertheless, unlike the importing method, this approach has restricted data processing capabilities.

Power BI Desktop

6. Query Editor

All of the chosen tables would be imported into Power BI Desktop & displayed in the Data view as distinct datasets. .

Query Editor

We can make changes to our datasets from here. We’ll use the Query Editor to accomplish this. The query generator could be used to edit datasets regardless of the data source. The query editor allows us to perform operations such as rebranding a dataset, eliminating a single or several columns, and so on.

 rebranding a dataset

The number of functional inquiries is displayed on the left pane, while the Query Settings pane on the right provides all of the stages related with a query.

Advanced  Editor

The script for the inquiry that has been run against the source of data is displayed in the Advanced Editor. The syntax is M, which stands for Power Query Formula Language. It is also possible to write your own code.

Make a backup of your work

Choose Close & Apply from the Query Editor’s File menu once you’ve made the appropriate data changes in the query editor. The adjustments will be applied to the data in Power BI Desktop.

data in Power BI Desktop

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7. Merging Datasets

When we wish to integrate one or maybe more datasets into one, merging datasets proves useful. The Query Editor can also assist with this merger. We’ll pull multiple tables(3) from the SuperstoreUS database this time.  Customers, Orders, and Returns are the three tables.

Merging Datasets

The three specified tables are listed in the Fields column. Now, go to the Edit Queries option and click the Combine option from the dropdown menu, which will reveal the Merge option. We’ll use the merged existing queries to construct a new query.

Merge option

We pick the tables to be combined as well as the kind of join we need in the Merge dialogue box. Columns that are similar to both tables must be chosen.

Let’s start by creating a new query called Orders and Customers. Through this query, we’ll join the Orders and Customers tables. All of the key columns from the orders table, as well as correlation columns from either the customer’s table, were included in the new query. Except for the last one, which reflects the Customers query, eliminate all the correlation columns. Next, from the Customers query, choose columns to merge into the newly merged query.

Customers query

The merged query is composed of a single database that has all of the required columns. Rather than operating with several data sources, which might cause confusion, you could now easily interact with one single database.

8. Building & Publishing a Dashboard

We may begin the Dashboard construction process since we had the dataset prepared along with all the alterations completed. The Power BI dashboard often referred to as a canvas, is a single sheet that contains multiple visualizations that serve to convey a narrative. The reports’ visuals, known as tiles, are attached to the dashboard.

Now just to see what recommendations we can glean from the superstore data set.

  • States seeking profit
  • Profit & Sales by Segment

Building & Publishing a Dashboard

Region-by-Region Sales and Profit

Sub-Category Sales

Profits by location

Quantity

We’ll obtain a dashboard that looks like the one below after we’ve formatted the size, look, and colour.

dashboard

Publishing
Data would be only valuable if it can be transferred across individuals or groups. By publishing the Dashboard or reports to the Power BI Service, they can be shared with others. The Dashboards/Reports can then be seen or interacted with using the Power BI Apps.

Publishing

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Conclusion:

When SQL and Power BI are combined, data analysis is carried out properly. We can integrate SQL Server to Power BI with ease and retrieve information right into it. Customers can switch connections with a single click in Power BI to execute in-memory searches to a bigger dataset. SQL is a handy tool that, when combined with Power BI’s expertise, may assist in monitoring and reporting more effectively and informative.

Related Articles:

  1. KPI in Power BI
  2. Looker vs Power BI
  3. MSBI vs Power BI



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