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Gmail VS Apache Spark

Compare Gmail VS Apache Spark and see what are their differences

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Gmail logo Gmail

Gmail is available across all your devices Android, iOS, and desktop devices. Sort, collaborate or call a friend without leaving your inbox.

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
  • Gmail Landing page
    Landing page //
    2022-02-13
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Gmail features and specs

  • Generous Storage
    Gmail provides a large amount of free storage (15GB shared with Google Drive and Photos), allowing users to store a significant number of emails without frequently needing to delete old ones.
  • Integration with Google Services
    Gmail is seamlessly integrated with other Google services like Google Drive, Google Calendar, and Google Docs, enhancing productivity and ease of use.
  • Powerful Search Functionality
    Gmail’s advanced search functionality allows users to quickly and efficiently find specific emails using keywords, filters, and operators.
  • Spam and Virus Protection
    Gmail’s robust spam filter and virus protection features help in keeping your inbox safe from malware, phishing attacks, and unwanted emails.
  • Customizable Email Management
    Gmail offers various tools for organizing emails, such as labels, filters, and custom tabs, enabling users to manage their inbox efficiently.
  • Cross-Platform Accessibility
    Users can access Gmail from any device with internet connectivity, including via web browsers and mobile apps for both Android and iOS.
  • Offline Access
    Gmail offers offline access, allowing users to read, respond to, and search their emails without an internet connection.
  • Feature-Rich Interface
    Gmail’s interface includes features like smart compose, email scheduling, integrated chat, and video calls, making it versatile for both personal and professional use.

Possible disadvantages of Gmail

  • Privacy Concerns
    As a Google product, Gmail’s handling of personal data is subject to the company’s data policies, which might raise privacy concerns among some users.
  • Advertisements
    Free Gmail accounts come with targeted ads that appear in the inbox, which some users may find intrusive or annoying.
  • Complexity for New Users
    The wide array of features and customization options can be overwhelming for new users who may find it difficult to navigate and utilize all the functionalities effectively.
  • Dependence on Internet
    Though offline access is available, many Gmail features require an active internet connection to function optimally.
  • Synchronization Issues
    Some users may experience occasional issues with email synchronization across multiple devices, leading to delays or loss of recent email updates.
  • Limitation on Attachments
    Gmail has a per-email attachment size limit of 25MB, which might be restrictive for users needing to send larger files via email.
  • Potential for Over-reliance
    Given its extensive feature set and integration with other Google services, users might become overly reliant on Gmail, making it difficult to transition to other platforms if needed.

Apache Spark features and specs

  • Speed
    Apache Spark processes data in-memory, significantly increasing the processing speed of data tasks compared to traditional disk-based engines.
  • Ease of Use
    Spark offers high-level APIs in Java, Scala, Python, and R, making it accessible to a broad range of developers and data scientists.
  • Advanced Analytics
    Spark supports advanced analytics, including machine learning, graph processing, and real-time streaming, which can be executed in the same application.
  • Scalability
    Spark can handle both small- and large-scale data processing tasks, scaling seamlessly from a single machine to thousands of servers.
  • Support for Various Data Sources
    Spark can integrate with a wide variety of data sources, including HDFS, Apache HBase, Apache Hive, Cassandra, and many others.
  • Active Community
    Spark has a vibrant and active community, providing a wealth of extensions, tools, and support options.

Possible disadvantages of Apache Spark

  • Memory Consumption
    Spark's in-memory processing can be resource-intensive, requiring substantial amounts of RAM, which can drive up costs for large-scale deployments.
  • Complexity in Configuration
    To optimize performance, Spark requires careful configuration and tuning, which can be complex and time-consuming.
  • Learning Curve
    Despite its ease of use, mastering the full range of Spark's features and best practices can take considerable time and effort.
  • Latency for Small Data
    For smaller datasets or low-latency requirements, Spark might not be the most efficient choice, as other technologies could offer better performance.
  • Integration Overhead
    Though Spark integrates with many systems, incorporating it into an existing data infrastructure can introduce additional overhead and complexity.
  • Community Support Variability
    While the community is active, the support and quality of third-party libraries and tools can be inconsistent, leading to potential challenges in implementation.

Gmail videos

+ Add

QUITTING GMAIL - alternatives for email, calendar, contacts

More videos:

  • Review - Manage Multiple Email Accounts in Gmail - Save Time!
  • Review - The New Gmail - Everything You Need To Know

Apache Spark videos

+ Add

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Category Popularity

0-100% (relative to Gmail and Apache Spark)

Gmail

Apache Spark

Email
100 100%
Email
0% 0
Databases
0 0%
Databases
100% 100
Email Clients
100 100%
Email Clients
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Gmail and Apache Spark. 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 Gmail and Apache Spark

Gmail Reviews

  1. marksachintha
    · CEO at ShiftX ·
    Best Email Service I have ever used.
    🏁 Competitors: Slack, Microsoft Outlook, Mattermost
    👍 Pros:    No need email hosting|Can create groups/channels like slack
    👎 Cons:    Doesn't work with outlook
  2. Phil_is_ill01
    Great user interface, and ease of use. Not sure about the privacy though.

    Very happy with its offers, it has a full suite of tools. Also the user experience is great. I am not sure about the privacy though. I am not confident enough to use it for sending and receiving confidential documents.

    🏁 Competitors: Mailfence, ProtonMail
    👍 Pros:    Huge storage space|Mobile app|Easy to use|Organisation
    👎 Cons:    Security|Privacy|Data protection and security
  3. Marta Garcia
    Not good mail in terms of privacy and security

    I used to use Gmail until 4 months ago. I was really happy with this mail, it is easy to handle and, being a Google member, there are many tools available to use. However, I started to learn about the security and privacy offered by Google, which is NONE. We are selling our information and personal data to a technological giant and, many times, we are not even aware of it.

    This is why I deleted all but one of my Google-related accounts. As most people are still not aware of this, when working or contacting certain people for the first time, it is essential to do it through Gmail.

    Today, there are a few alternatives to solve this lack of privacy. After doing an intensive search and reading comments, I decided to get an account with Mailfence and, honestly, I'm very happy with their service. It's an easy to use email, with end-to-end encryption, digital signatures, calendar, document saving capabilities, ... I really recommend it for all those who are starting in the world of privacy and security. The best thing is that you can create a free account and, if you are happy with the service or need more storage space, you can switch to a paid account.

    I hope my opinion helps everyone, especially those who are thinking about whether it is really worth giving all our information in exchange for a free email.

    🏁 Competitors: Mailfence
10 Best Alternatives to Microsoft Outlook to Try in 2023
Gmail also offers a number of powerful search features that make it easy to find specific emails. For example, you can search for emails by sender, subject, or keyword, and Gmail will return all relevant results.
Source: mysignature.io
11 Top Outlook Alternatives to Try
Google Workspace users can create email addresses with a custom domain, like [email protected], while Gmail users can only make Gmail.com addresses. Google Workspace offers shared drives and more storage space.
Source: kinsta.com
Superhuman vs. Gmail: A Tale of Two Email Experiences
In contrast, Gmail caters to a broader audience, offering basic email services (vanilla Gmail) and integration with the Google Workspace suite. This entails the use of Google Mail, Google Calendar integration, limited keyboard shortcuts, Docs, Sheets, messages (via Gmail's chat feature), and more!
Source: tatem.com
ProtonMail Compares Apple to Mafia, Says App Was Forced Into In-App Purchases in 2018
Yen believes Apple's 30 percent fee harms privacy-centric apps because it's difficult for a paid app to compete with free apps like Gmail while also having to pay ‌App Store‌ frees.
Source: www.macrumors.com
Moving away from GMail
But my GMail address can be lost for many reasons, many unrelated to GMail itself. I guess you can get the address suspended for spamming or doing other things, I'm not particularly worried about that. However, ToS violations of any kind, across other Google products, can lead to a ban on your account and implicitly, on your GMail address. There are many examples: reselling...
Source: rolisz.ro

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Source: searchbusinessanalytics.techtarget.com
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Apache Spark seems to be more popular. It has been mentiond 70 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.

Gmail mentions (0)

We have not tracked any mentions of Gmail yet. Tracking of Gmail recommendations started around Mar 2021.

Apache Spark mentions (70)

  • Every Database Will Support Iceberg — Here's Why
    Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / 25 days ago
  • How to Reduce Big Data Analytics Costs by 90% with Karpenter and Spark
    Apache Spark powers large-scale data analytics and machine learning, but as workloads grow exponentially, traditional static resource allocation leads to 30–50% resource waste due to idle Executors and suboptimal instance selection. - Source: dev.to / 27 days ago
  • Unveiling the Apache License 2.0: A Deep Dive into Open Source Freedom
    One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / 2 months ago
  • The Application of Java Programming In Data Analysis and Artificial Intelligence
    [1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Pearson, 2020. [2] F. Chollet, Deep Learning with Python. Manning Publications, 2018. [3] C. C. Aggarwal, Data Mining: The Textbook. Springer, 2015. [4] J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008. [5] Apache Software Foundation, "Apache... - Source: dev.to / 2 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline. - Source: dev.to / 3 months ago
View more

What are some alternatives?

When comparing Gmail and Apache Spark, you can also consider the following products

ProtonMail - Secure email with absolutely no compromises. Get your free encrypted email account today.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Microsoft Outlook - Organize your world. Outlook’s email and calendar tools help you communicate, stay on top of what matters, and get things done.

Hadoop - Open-source software for reliable, scalable, distributed computing

Zoho Mail - Zoho Mail is a secure, encrypted, and enterprise-ready email solution, a suite of apps tailor-made for your organization's needs.

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

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