Should You Upgrade to the iPhone 17E? How It Compares to iPhone 14, 15 and 16


Apple announced the iPhone 17E with some premium upgrades borrowed straight from the more expensive iPhone 17. Like the $799 model, Apple’s most affordable iPhone now starts at 256GB of storage, has an A19 chip (albeit with a four-core GPU instead of five), a 48-megapixel camera and MagSafe magnetic technology — all for the same $599 price as before. This is a sweet successor to the iPhone 16E, fixing that phone’s omission of MagSafe while doubling the starting storage from 128GB.

But how do these upgrades help it stand tall against the older iPhones — the ones with Dynamic Island, two rear cameras and support for Live Activities? If you’re looking to upgrade from an iPhone 16, iPhone 15, or the iPhone 14 with a notch, but don’t want to spend $799 on a new iPhone 17, here’s how the midrange iPhone 17E compares to your current Apple device.

iPhone 17E vs. iPhone 16

Prakhar Khanna holding the white iPhone 17E.

The iPhone 17E adds a bunch of new features but they shouldn’t tempt you to upgrade from an iPhone 16.

Prakhar Khanna/CNET

Both iPhone 17E and iPhone 16 have a similar in-hand feel. The new phone is slightly smaller but weighs the same 170 grams. It’s similarly light and comfortable to use with a single hand. The 17E is tougher than its 2024 counterpart. Apple gave it the same Ceramic Shield 2 protection as its latest iPhone 17 series. By contrast, the iPhone 16 has a less scratch-resistant and more reflective Ceramic Shield front. This means the iPhone 17E is less prone to scratches by pocket lint and is easier to view in direct light.

The iPhone 16 has a pill-shaped Dynamic Island cutout on the front to house the Face ID sensors and selfie camera. It’s also responsible for surfacing system alerts and showing live updates on apps running in the background. However, you miss out on these features with the iPhone 17E, which is stuck with an iPhone 13-like notch.

Both of these Apple devices have a 6.1-inch OLED screen that supports the same resolution, contrast ratio and a 60Hz refresh rate. The iPhone 16 is brighter as it can go up to 2,000 nits outdoors (Apple doesn’t state this stat for the iPhone 17E), 1,600 nits (compared with 1,200 nits on the 17E) for supported HDR content and 1,000 nits (800 nits on the 17E) typical max brightness. It can also go down to 1 nit minimum brightness, so the screen on the iPhone 16 is more comfortable for bedtime reading with lights off.

You can expect a similar content consumption experience in most scenarios but the 16 will be slightly more immersive, thanks to slimmer bezels.

iPhone held in a hand with a message asking for permission to share the phone's screen.

The Dynamic Island on the iPhone 16 gives you more intuitive Live Activities around the display cutout.

Screenshot by Jeff Carlson/James Martin/CNET

The iPhone 17E has an A19 chip (four-core GPU version), while the iPhone 16 is powered by the A18 processor. You won’t notice a major difference in performance in day-to-day activities, but the new chip is paired with Apple’s C1X cellular modem for improved power efficiency. Other connectivity differences include Wi-Fi 6 (vs. Wi-Fi 7 on the 16) and the lack of the second-generation Ultra Wideband chip (which enables Precise location tracking on the AirTags) on the 17E.

Apple says its iPhone 17E supports up to 4 hours more video playback time than the iPhone 16. In CNET’s iPhone battery test, we didn’t notice a difference between the two iPhones. Both of them dropped from 100% to 86% in our 3-hour video streaming test and by 3% in our 45-minute battery endurance test.

They’ll last you an entire day on moderate use. Both of them support 20-watt wired charging and 15W wireless charging. I love the fact that Apple added MagSafe support to its new affordable device because snapping magnetic accessories (whether it’s a power bank, wallet or tripod) to my iPhone is a convenience I missed on last year’s iPhone 16E. If you’re coming from the 16, you can now use all your magnetic accessories with the $599 iPhone.

Both these devices have the same 48-megapixel main camera that can shoot “optical-like” (essentially, in-sensor zoom) 2x zoom shots. You get the same 12-megapixel camera on the front. However, the iPhone 16 has a more capable and versatile camera system. It has sensor-shift optical image stabilization (vs. optical image stabilization on the 17E) on the main sensor and another 12-megapixel ultrawide-angle camera. Plus, the iPhone 17E lacks the ability to shoot in Macro mode, Cinematic mode and Action mode, and doesn’t have the Camera Control button.

The bottom line: While iPhone 17E’s quality-of-life updates (Ceramic Shield 2, A19 chip and MagSafe) are welcome additions, the iPhone 16 remains a solid device in 2026. It has a more immersive display, versatile cameras, Live Activities and a UWB chip for precise location tracking. In many ways, it’s still a better device than the iPhone 17E. If your iPhone 16 is working fine, you shouldn’t upgrade to the 17E.

iPhone 17E vs. iPhone 15

iPhone 17E with setup screen.

The iPhone 17E has thick bezels as compared to the iPhone 15.

Prakhar Khanna/CNET

The iPhone 17E and iPhone 15 have a similar in-hand feel. You get an aluminum frame and glass construction for a premium look. The 15 is a feather heavier at 171 grams (compared with the 170 g 17E) and taller (147.6mm vs. 146.7mm) but it isn’t noticeable in daily use. However, there are some major design differences between the two Apple products:

  • The iPhone 15 was one of the last iPhones to have a Ring/Silent switch. It was replaced by an Action Button on the iPhone 16 series, which is also present on all the latest iPhones, including the 17E.

  • Apple gave the same Ceramic Shield 2 protection to the iPhone 17E as its more expensive siblings. In comparison, the 15 has a less scratch-resistant and more reflective first-generation Ceramic Shield front.

  • Like the aforementioned iPhone 16, the iPhone 15 has a pill-shaped (Dynamic Island) for the Face ID sensors and the selfie shooter. By contrast, the iPhone 17E has a big notch and shows Live Activities on the homescreen.

  • The iPhone 15 has slimmer bezels on its display, which makes it a more immersive panel for content consumption.

Both of them have a 6.1-inch OLED screen with the same resolution, contrast ratio and a 60Hz refresh rate. However, the iPhone 15’s screen is brighter. It goes up to 2,000 nits outdoors (Apple doesn’t state this stat for the iPhone 17E), 1,600 nits (1,200 nits on the 17E) for supported HDR content and 1,000 nits (800 nits on the 17E) typical max brightness.

The iPhone 17E runs on a custom A19 chip with a four-core GPU. In comparison, the iPhone 15 is powered by a three-generation-old A16 Bionic chip. It is less power-efficient and lacks hardware-accelerated ray tracing. The iPhone 15 is also the last to come without Apple Intelligence support. AI isn’t a selling point on any phone yet but it enables a few useful features like quick object removal in photos using CleanUp and Priority Notifications, among others. The lack of Apple Intelligence also means your iPhone 15 won’t support the now-delayed smarter Siri update.

A person holding the iPhone 15.

The iPhone 15 in pink still looks nice.

Patrick Holland/CNET

Both these devices have Wi-Fi 6 and Bluetooth 5.3 for wireless connectivity but the 17E lacks a UWB chip. The iPhone 15 has Apple’s second-generation Ultra Wideband chip, which enables Precise location tracking for AirTags.

The new affordable iPhone’s battery life will last longer than the 2023 model. Apple says the iPhone 17E supports up to 6 hours more of video playback than the iPhone 15. This change aligns with our testing in CNET’s battery tests. In a 3-hour streaming test over Wi-Fi, the 17E’s battery dropped from 100% to 86%, while the iPhone 15 hit 85%. Similarly, in our 45-minute endurance test, the iPhone 17E’s battery went from full to 97%. The iPhone 15 dropped by 5% in the same test. You are likely to notice a significant difference in endurance between the two iPhones with extended use.

Both of them have a 48-megapixel main camera that can shoot “optical-like” (in-sensor zoom) 2x zoom shots, and you get the same 12-megapixel selfie camera on the front. But there’s an additional 12-megapixel ultrawide-angle camera on the 15. The 2023 model edges out in videography with support for Action mode and Cinematic mode. However, it lacks some useful iPhone 17E features like wind noise reduction and Audio Mix for videos.

The bottom line: The iPhone 17E sees some drastic changes on the inside, compared to the iPhone 15. While it might not look like a new Apple phone from the front, the 17E has a stronger screen, longer-lasting battery life, double the storage in the base variant and added futureproofing with Apple Intelligence support. If you’re looking to upgrade from your old iPhone 15 on a budget, the iPhone 17E might have just enough to be noticeable for you. With MagSafe support, it’ll also support all your magnetic accessories. The main loss would be the ultrawide camera, depending on how often you use that for expansive shots.

iPhone 17E vs. iPhone 14

Pink iPhone 17E with a blue MagSafe wallet and clear case.

MagSafe is one of the biggest additions to the iPhone 17E.

Abrar Al-Heeti/CNET

If you’re coming from an iPhone 14, the 17E has some quality-of-life upgrades that you’ll appreciate. Both these devices have an aluminum frame and a notch on the front. The new iPhone is built stronger with, Apple says, a three times better scratch-resistant Ceramic Shield 2 on the front. It also has an anti-reflective coating, which reduces glare in direct light. This comes in handy, especially because both of them support the same brightness levels on their 6.1-inch OLED screens.

Other important design changes include the presence of a USB-C charging port and an Action button on the iPhone 17E. The iPhone 14 was the last of its kind to have a Lightning port. This means the new affordable iPhone will work with the more-universal USB-C cables, making it easier to connect to laptop chargers and external displays. It is also 2 grams lighter than the 14, which isn’t much but a lightweight design is always appreciated.

Back of the Apple iPhone 14 standing on a purple surface with a red background

The iPhone 14 doesn’t hold up against Apple’s new iPhone 17E.

James Martin/CNET

The iPhone 17E got a strong processor boost this year. It has the same A19 chip as the more expensive iPhone 17 but with a four-core GPU (instead of five-core). This is a major upgrade over iPhone 14’s A15 Bionic chip. As a result, you get support for Apple Intelligence, hardware-accelerated ray tracing for gaming and better battery life. The company says its new iPhone 17E will last 6 hours longer than the iPhone 14 in video playback time.

The iPhone 14 has a 12-megapixel main camera and another 12-megapixel ultrawide-angle camera on the back, while the iPhone 17E gets just one sensor in the form of a 48-megapixel camera. It is capable of shooting good-quality zoom photos at 2x. On the front, you get a 12-megapixel camera on both.

The bottom line: The iPhone 14 has the most noticeable differences with the iPhone 17E. While you lose out on camera versatility, you gain a better quality main camera, improved battery life, significantly better performance and, at last, a USB-C port. There’s added flavor for Apple Intelligence as well. 

Who should upgrade to the iPhone 17E?

Prakhar Khanna holding a white iPhone 17E against a black background.

The iPhone 17E is a lightweight phone, best suited for anyone upgrading from the iPhone 14 or an older generation device.

Prakhar Khanna/CNET

The iPhone 17E is an impressive upgrade if you are coming from an iPhone 14 or older device (including the iPhone SE and iPhone 13, among others). You’ll notice the biggest difference switching from Apple’s Lightning port to the more universal USB-C for wired charging without losing compatibility with your MagSafe accessories. Other upgrades include a significantly better battery life, improved optics and smooth performance, alongside the Apple Intelligence goodness.

As for the iPhone 15 and iPhone 16 owners looking to upgrade, I highly recommend going for the $799 iPhone 17 where possible instead of the 17E (so you don’t lose out on camera versatility). It is the best value-for-money product in Apple’s current iPhone lineup. In fact, it is close to a Pro upgrade. You’ll get an all-new 18-megapixel front camera with auto-framing and a brighter and stronger screen with a 120Hz refresh rate (same as iPhone 17 Pro). It’s accompanied by a longer-lasting battery, 256GB of storage on the base variant and an upgraded ultrawide-angle camera.

Apple iPhone 17E vs. iPhone 16, iPhone 15, iPhone 14

Apple iPhone 17E Apple iPhone 16 Apple iPhone 15 iPhone 14
Display size, resolution 6.1-inch OLED display; 2,532×1,170 pixels; 60Hz refresh rate 6.1-inch OLED; 2,556×1,179 pixel resolution; 60Hz refresh rate 6.1-inch OLED; 2,556×1,179 pixels 6.1-inch OLED; 2,532×1,170 pixels
Pixel density 460 ppi 460 ppi 460 ppi 460 ppi
Dimensions (inches) 5.78×2.82×0.31 5.81×2.82×0.31 in 2.82×5.81×0.31 in 5.78×2.82×0.31 in
Dimensions (millimeters) 146.7×71.5×7.8 147.6×71.6×7.8 mm 71.6×147.6×7.8 mm 147x72x7.8 mm
Weight (ounces, grams) 167 g (5.88 oz.) 170 g (6 oz.) 171 g (6.02 oz) 172 g (6.07 oz)
Mobile software iOS 26 iOS 18 iOS 17 iOS 16
Camera 48-megapixel (wide) 48-megapixel (wide), 12-megapixel (ultrawide) 48-megapixel (wide), 12-megapixel (ultrawide) 12-megapixel (wide), 12-megapixel (ultrawide)
Front-facing camera 12-megapixel 12-megapixel 12-megapixel 12-megapixel
Video capture 4K 4K 4K 4K at 60 fps
Processor Apple A19 Apple A18 A16 Bionic Apple A15 Bionic
RAM/Storage RAM unknown + 256GB, 512GB RAM N/A + 128GB, 256GB, 512GB 128GB, 256GB, 512GB RAM NA; 128GB, 256GB, 512GB
Expandable storage None None (Face ID) None None
Battery/Charger 4,005 mAh 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) Undisclosed; Apple claims 20 hours of video playback
Fingerprint sensor None, Face ID None (Face ID) None (Face ID) None (Face ID)
Connector USB-C USB-C USB-C (USB 2.0) Lightning
Headphone jack None None None None
Special features MagSafe, Qi2 charging (up to 15W), Action button, Apple C1 5G modem, Apple Intelligence, Ceramic Shield, Emergency SOS, satellite connectivity, IP68 resistance Apple Intelligence, 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 5G (mmw/Sub6); MagSafe; water resistant (IP68); wireless charging; eSIM; satellite connectivity
Price at launch (USD) $599 (256GB) $829 (128GB) $799 (128GB), $899 (256GB), $1,099 (512GB) $799 (128GB), $899 (256GB), $1,099 (512GB)





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Power BI Datasets – Table of Content

What is Power BI?

Power BI is a set of software services, apps, and connectors that work together to turn disparate data sources into coherent, visually immersive, and interactive insights. Your data could be in the form of an Excel spreadsheet or a hybrid data warehouse that is both on-premises and cloud-based. Power BI makes it simple to connect to your data sources, visualize and uncover what matters, and share your findings with whomever you choose.

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What are Datasets in Power BI?

A dataset is a data collection that you can connect to or import. Power BI allows you to connect to and import all kinds of datasets, allowing you to put everything together in one place. Dataflows can also be used for sourcing the data for Datasets. Workspaces are associated with datasets, and a single dataset can be used in multiple workspaces.
We have selected “My workspace” and then the “Datasets + dataflows” tab in the example below

Power BI workspace

Let us now look into the different types of Datasets in Power BI.

Types of Datasets

Datasets in Power BI are ready to report and visualize the source of data. There are five different types of datasets, each of which can be constructed in one of the following ways:

  • An existing data model will be connected that is not hosted in a Power BI capability.
  • Power BI Desktop file needs to be uploaded which includes a model.
  • Uploading a CSV (comma-separated values) file, or uploading an Excel workbook (Includes one or more Excel tables and/or a workbook data model).
  • Creating a push dataset using the Power BI service.
  • Creating streaming or dataset with hybrid streaming using the Power BI service.

Let us now explore different types of Datasets.

1) External-hosted models

Azure Analysis Services and SQL Server Analysis Services are the two types of externally hosted models. Installing the on-premises data gateway, whether on-premises or VM-hosted infrastructure-as-a-service (IaaS), is required to connect to a SQL Server Analysis Services model. A gateway isn’t required for Azure Analysis Services.

When there are existing model investments, such as those that form part of an enterprise data warehouse(EDW), connecting to Analysis Services makes sense. By utilizing the identity of the Power BI report user, Power BI can establish a live connection to Analysis Services, enforcing data permissions. Both tabular models and multidimensional (cubes) are supported by SQL Server Analysis Services. A live connection dataset sends queries to externally hosted models, as demonstrated in the accompanying 

External-hosted models

2) Power BI Desktop-developed models

A model can be created using Power BI Desktop, a client application for Power BI development. The model is essentially a tabular Analysis Services model. Models can be created by importing data from dataflows and blending it with data from external sources. While the characteristics of how modeling can be accomplished are outside the subject of this article, it’s crucial to note that Power BI Desktop supports three different types, or modes, of models. We are going to discuss the datasets in the coming sections.

Row-Level Security (RLS) can be used in externally hosted models and Power BI desktop models to restrict the amount of data that can be obtained for a certain user. Users in the Salespeople security group, for instance, can only see report data for the sales region(s) to which they’ve been assigned. Roles in RLS can be either static or dynamic. Static roles apply the same filters to all users allocated to the position, whereas dynamic roles filter by the report user.

3) Excel workbook models

The creation of a model is automatic when datasets are created from Excel workbooks or CSV files. To construct model tables, Excel tables, and CSV data are imported, and an Excel workbook data model is translated to produce a Power BI model. In every scenario, data from a file is imported into a model.

4) Push Dataset

A Power BI dataset that can only be created and populated using the Power BI API is known as a push dataset. However, the lack of a good user interface for creating a push dataset restricted its adoption to scenarios where a single table was inhabited with real-time data streaming.

5) Hybrid Streaming Dataset

Real-time streaming in Power BI allows you to stream data and update dashboards in real-time. Real-time data and visuals can be displayed and updated in any Power BI visual or dashboard. Factory sensors, social media sources, service usage metrics, and a variety of other time-sensitive data collectors or transmitters can all be used to collect and transmit streaming data.

Hybrid Streaming Dataset

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How to Create a Power BI Dataset?

Before discussing the steps of creation. It is necessary to know that there are three basic ways to retrieve data in Power BI Desktop that you will use to create your visualizations:

1) Live:

Here you will be connecting to a server that carries all the data. Although no data is sent, the model’s metadata is imported into Power BI Desktop. A query is transmitted to the server when you build visualizations, and it is then executed. The outcomes are then visualized and returned to Desktop. With SQL Server Analysis Services (SSAS) models, whether multidimensional or Tabular, live connections are commonly employed. Power BI Desktop behaves like any other thin client in this scenario, like Excel or Reporting Services (SSRS). It is not possible to make major modifications to the model, but you can add new measurements that will be available in that  .pbix file.

2) DirectQuery:

You can make more modifications to the model here than you can with a Live connection. The data is kept on the server, and queries are run on the server, just like in Live. The Power BI Desktop model, for instance, allows for the creation of relationships.

3) Import:

Power Query queries are used to import the data into a Power BI Desktop file (.pbix). The data is compressed highly so it’s feasible to load records in millions into a file on your system. A model, comparable to an SSAS Tabular model, is built behind the scenes. This is the most versatile mode, as it allows you to blend data from any source. However, all data must be loaded into your model, which can take a long time to refresh.

Now, let’s move to create the dataset. Below are the steps which make you comprehend the creation of the Power BI Dataset.

1) A dataset is connected to the .pbix file where it was created one by one. When you first launch PBI Desktop, click “Get Data” to create a new dataset.

Get Data

Alternatively, you can choose a source from the dropdown menu as shown below:

dropdown menu

2) Let’s assume we imported a few tables from the WideWorldImporters SQL Server sample database (The .pbix file can be downloaded here). The tables and their relationships are visible in the Model view:

.pbix file downloaded

3) You can view the actual data of one table at a time in the “Data view”.

Data view

4) You can create, view, and interact with visualizations built on top of the data and model in the “Report view”. 

Report view

 The dataset is made up of the data as well as the model view. Now, let’s move to the different modes of Dataset available in Power BI.  

[ Related Article : msbi ]

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Dataset modes in the Power BI

These modes of Dataset in Power BI ascertain whether or not data is imported into the model or retained in the data source. The following are the three Dataset modes in Power BI:

  1. Import
  2. DirectQuery
  3. Composite
1) Import

The most popular mode for developing datasets is the import mode. Because of in-memory querying, this mode provides incredibly quick performance. Modelers can also benefit from design flexibility and support for certain Power BI service capabilities (Quick Insights, Q&A, etc.). It’s the default mode when developing a new Power BI Desktop solution because of these advantages.

It’s crucial to realize that all imported data is saved on disk. When the data is refreshed or queried, it should be fully loaded into the memory of Power BI. Import models can yield very rapid query results once they are in memory. It’s also crucial to note that there’s no such thing as a partially loaded Import model in memory. An Import model can also integrate data from any number of supported data source types. The following image illustrates it. 

Import model

2) DirectQuery

Import mode can be replaced by DirectQuery mode. Data is not imported into models created in DirectQuery mode. Instead, they are made up entirely of metadata that defines the model’s structure. If the model is queried, data is retrieved by using the native queries from the underlying data source.

DirectQuery Model

3) Composite

The composite mode can blend DirectQuery and Import modes, or integrate multiple data sources for DirectQuery. The storage mode for every model table can be configured for models created in Composite mode. Calculated tables (defined with DAX) can also be used in this mode.

Composite Model

Import and DirectQuery modes are used in composite models to give you the best of both modes. They can blend the high query performance of in-memory models with the capacity to access near real-time data from data sources when set properly.

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 Conclusion:
We have successfully learned that Power BI lets you connect various datasets for importing and bringing them all together in one place. In this blog, we explored the topics of Datasets in Power BI in a systematic flow by understanding Power BI, then Datasets in Power BI, different types of Datasets and models used for reporting and visualizing data, creating a Dataset for connecting files, and various modes of Datasets in Power BI.

Related Article:

  1. MSBI vs Power BI
  2. Looker vs Power BI
  3. KPI in Power BI
  4. DAX In Power BI
  5. Power BI Architecture
  6. Power BI Components
  7. Power BI Dashboard
  8. Power BI Data Modeling
  9. Power BI Documentation



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