Big Data. Big Decisions
InformationWeek
Special Coverage Series


Google Releases Gmail 2.0 For iOS

New version of Google's Gmail app for iOS features multiple account support and a more refined look.

Apple iTunes 11: Visual Tour
Apple iTunes 11: Visual Tour
(click image for larger view and for slideshow)
Google's Gmail app for iOS received its 2.0 facelift on Tuesday and is now available through Apple's iTunes App Store.

Google's announcement of the app's availability preceded its actual availability, prompting the company to respond to those who sought to download the app, but found they could not, by telling them to try again later.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Gmail for iOS version 2.0 features "a totally new look and feel," says Google product manager Matthew Izatt in a blog post. That's a bit of an exaggeration: There are some useful changes and aesthetic refinements, but the app remains at its core a list of email messages, regardless of its "new, cleaner look."

The most noteworthy addition is multi-account support. The app will let you log into up to five separate Gmail accounts from the menu page and then tab among open accounts. That's very helpful on shared devices, like the family iPad.

[ Google released a Chrome browser for Apple devices in June. See Chrome For iOS: A Failure? ]

There are some new interface animations, which don't really change the way the app functions but add to the sense that many engineers toiled over this app to make it just so. Somehow that's reassuring.

More meaningful are the profile pictures in messages, so you can see who's asking you to send funds to Nigeria to recover that unclaimed bank account from a distant relative you never knew existed.

And for those with an all-but infinite hoard of email, the Gmail app for iOS now supports infinite scrolling through message lists, the perfect entertainment experience for seemingly infinite meetings.

Searching in Gmail 2.0 for iOS now triggers autocomplete predictions as you type, saving time and deterring any thought of rebellion against the machines by underscoring the fact that Google is way ahead of you. The app now also supports the ability to RSVP to Google Calendar invitations and to endorse Google+ posts with a +1 or comment without the need to switch to the Google+ app.

The iOS update for Gmail follows Monday's update to the Gmail app for Android. Version 4.2.1 of Gmail for Android introduced an auto-fit Settings option that resizes email messages to fit the screen of the device on which they're viewed. It also added swipe-to-archive and swipe-to-delete options to facilitate rapid message processing, the ability to attach photos and videos within Gmail and larger photo previews for attachments.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.