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Authy VS Google Cloud Dataflow

Compare Authy VS Google Cloud Dataflow and see what are their differences

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Authy logo Authy

Best rated Two-Factor Authentication smartphone app for consumers, simplest 2fa Rest API for developers and a strong authentication platform for the enterprise.

Google Cloud Dataflow logo Google Cloud Dataflow

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
  • Authy Landing page
    Landing page //
    2021-10-05
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03

Authy features and specs

  • Multi-device synchronization
    Authy allows users to sync their 2FA tokens across multiple devices, which provides a convenient way to access tokens from phones, tablets, and desktops.
  • Encrypted backups
    Authy provides encrypted backups of the 2FA tokens to the cloud, ensuring that users can recover their tokens in case of device loss or damage.
  • Offline usage capability
    Authy can generate 2FA codes even when the user’s device is offline, providing access to tokens without requiring an active internet connection.
  • Desktop app available
    Authy offers a desktop application that allows users to manage and use their 2FA tokens directly from their computer, enhancing accessibility and usability.
  • Security features
    Authy includes advanced security features such as PIN protection and biometric login options, adding an additional layer of security to the 2FA tokens.

Possible disadvantages of Authy

  • Dependency on cloud service
    Authy’s cloud-based backup and multi-device synchronization features create a dependency on their cloud service, which may raise privacy and security concerns for some users.
  • Limited customization options
    Compared to some other authentication apps, Authy offers fewer options for custom-tailoring the appearance and organization of the 2FA tokens.
  • Potential for lockout
    If users forget their Authy backup password or lose access to all trusted devices, they may have difficulty recovering their 2FA tokens, leading to a potential lockout of their accounts.
  • Initial setup complexity
    The initial setup process, which includes account verification and device synchronization, may be more complex and time-consuming compared to other simpler 2FA apps.
  • Limited platform support
    While Authy supports major platforms such as iOS, Android, and Windows, it does not have the same broad platform compatibility as some other 2FA solutions, potentially limiting its usability for some users.

Google Cloud Dataflow features and specs

  • Scalability
    Google Cloud Dataflow can automatically scale up or down depending on your data processing needs, handling massive datasets with ease.
  • Fully Managed
    Dataflow is a fully managed service, which means you don't have to worry about managing the underlying infrastructure.
  • Unified Programming Model
    It provides a single programming model for both batch and streaming data processing using Apache Beam, simplifying the development process.
  • Integration
    Seamlessly integrates with other Google Cloud services like BigQuery, Cloud Storage, and Bigtable.
  • Real-time Analytics
    Supports real-time data processing, enabling quicker insights and facilitating faster decision-making.
  • Cost Efficiency
    Pay-as-you-go pricing model ensures you only pay for resources you actually use, which can be cost-effective.
  • Global Availability
    Cloud Dataflow is available globally, which allows for regionalized data processing.
  • Fault Tolerance
    Built-in fault tolerance mechanisms help ensure uninterrupted data processing.

Possible disadvantages of Google Cloud Dataflow

  • Steep Learning Curve
    The complexity of using Apache Beam and understanding its model can be challenging for beginners.
  • Debugging Difficulties
    Debugging data processing pipelines can be complex and time-consuming, especially for large-scale data flows.
  • Cost Management
    While it can be cost-efficient, the costs can rise quickly if not monitored properly, particularly with real-time data processing.
  • Vendor Lock-in
    Using Google Cloud Dataflow can lead to vendor lock-in, making it challenging to migrate to another cloud provider.
  • Limited Support for Non-Google Services
    While it integrates well within Google Cloud, support for non-Google services may not be as robust.
  • Latency
    There can be some latency in data processing, especially when dealing with high volumes of data.
  • Complexity in Pipeline Design
    Designing pipelines to be efficient and cost-effective can be complex, requiring significant expertise.

Authy videos

+ Add

How to Use Authy To Keep Your Data Safe

More videos:

  • Review - GOOGLE AUTHENTICATOR vs. AUTHY - (AUTHY WON)
  • Review - Productivity Tuesday Ep#4 -- Authy Two Factor Authentication

Google Cloud Dataflow videos

+ Add

Introduction to Google Cloud Dataflow - Course Introduction

More videos:

  • Review - Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)
  • Review - Apache Beam and Google Cloud Dataflow

Category Popularity

0-100% (relative to Authy and Google Cloud Dataflow)

Authy

Google Cloud Dataflow

Identity And Access Management
100 100%
Identity And Access Management
0% 0
Big Data
0 0%
Big Data
100% 100
Two Factor Authentication
100 100%
Two Factor Authentication
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Authy and Google Cloud Dataflow. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Authy and Google Cloud Dataflow

Authy Reviews

7 Best Google Authenticator Alternatives For Android And iOS
And another big difference that it provides over the Google Authenticator is the Authy passcode. Using this code, no one will be able to browse through all your codes.
Source: www.techuntold.com
The Best Authenticator Apps for 2023
One of Twilio Authy’s big advantages is encrypted cloud backup. However, it’s somewhat concerning that you can add the account to a new phone using “a PIN code sent via a call or an SMS,” according to Authy’s support pages. There’s also an option to enter a private password or passphrase that Authy uses to encrypt login info for your accounts to the cloud. The password is...
Source: www.pcmag.com
Top 6 Google Authenticator Alternatives in 2023
Although most alternatives to Google Authenticator are completely free but potentially relatively limited in terms of options, Duo can offer you a lot if you’re willing to pay for it. The free option, which Cisco advises is aimed towards individuals and very small teams, is most comparable to what Google offers and will be enough for many, though it faces stiff competition...
Source: www.techrepublic.com
Is Authy better than Google Authenticator?
.large-mobile-banner-1-multi-842{border:none!important;display:block!important;float:none;line-height:0;margin-bottom:3px!important;margin-left:0!important;margin-right:0!important;margin-top:3px!important;min-height:250px;min-width:300px;padding:0;text-align:center!important}But to avoid this problem entirely, make sure to add Authy to any devices you want and then Disable...
Source: shieldplanet.com
The Best 2FA Apps 2021: Locking Down Your Online Accounts
As far as website support goes, Authy 2FA tokens work with any service that accepts TOTP-based authenticator apps. Authy even maintains a database of services it supports, complete with step-by-step instructions for how to enable 2FA on those services. In addition to password managers like Keeper, cloud storage like Box and encrypted email services like ProtonMail, Authy...
Source: www.cloudwards.net

Google Cloud Dataflow Reviews

Top 8 Apache Airflow Alternatives in 2024
Google Cloud Dataflow is highly focused on real-time streaming data and batch data processing from web resources, IoT devices, etc. Data gets cleansed and filtered as Dataflow implements Apache Beam to simplify large-scale data processing. Such prepared data is ready for analysis for Google BigQuery or other analytics tools for prediction, personalization, and other purposes.
Source: blog.skyvia.com

Social recommendations and mentions

Based on our record, Authy should be more popular than Google Cloud Dataflow. It has been mentiond 139 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Authy mentions (139)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Authy - Two-factor authentication (2FA) on multiple devices, with backups. Drop-in replacement for Google Authenticator. Free for up to 100 successful authentications. - Source: dev.to / over 1 year ago
  • Ask HN: What 2FA iOS app do you use?
    Https://authy.com/ Acquired by Twilio. I'm not even sure if they still update it, last blog post was 3 years ago. - Source: Hacker News / over 1 year ago
  • How to Set Up 2FA on Your BitStarz Account
    2FA apps such as Google Authenticator and Authy randomly generate a code every minute or so, which is matched to a specific key associated with your login. In essence, this means that whenever a login asks for your 2FA code, it knows which number to expect and will only unlock if that correct number is entered. Source: over 1 year ago
  • How can I avoid MFAuthenticator?
    You can also set up the Authy authenticator app on a PC, so you don't have to use a mobile app at all, but use a PC app instead :). Source: almost 2 years ago
  • Coworker refused to use a second factor for his Azure Global ADM bcs he doesn‘t need a „Gadget“ like a FIDO key.
    Check out authy. It's considered less secure than other device-specific OTP solutions, but it's better than not using it. Source: almost 2 years ago
View more

Google Cloud Dataflow mentions (14)

  • How do you implement CDC in your organization
    Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 2 years ago
  • Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!
    This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 2 years ago
  • How are view/listen counts rolled up on something like Spotify/YouTube?
    I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 2 years ago
  • Best way to export several GCP datasets to AWS?
    You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 2 years ago
  • Why we don’t use Spark
    It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 3 years ago
View more

What are some alternatives?

When comparing Authy and Google Cloud Dataflow, you can also consider the following products

Google Authenticator - Google Authenticator is a multifactor app for mobile devices.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Duo Security - Duo Security provides cloud-based two-factor authentication. Duo’s technology can be deployed to protect users, data, and applications from breaches, credential theft, and account takeover.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Azure Multi-Factor Authentication - Azure Multi-Factor Authentication helps safeguard access to data and applications while meeting user demand for a simple sign-in process.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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