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Dropbox VS Google BigQuery

Compare Dropbox VS Google BigQuery and see what are their differences

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Contents:
  1. » Base Details
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  3. » Reviews
  4. » Alternatives

Dropbox logo Dropbox

Online Sync and File Sharing

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • Dropbox Landing page
    Landing page //
    2023-10-05
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

Dropbox features and specs

  • Ease of Use
    Dropbox offers a user-friendly interface that makes file sharing, syncing, and storage simple for users of any technical skill level.
  • Cross-Platform Compatibility
    Dropbox supports multiple operating systems including Windows, Mac, iOS, and Android, making it accessible from almost any device.
  • Collaboration Features
    The service includes features like shared folders, file comments, and real-time collaboration on documents, which are ideal for team projects.
  • File Versioning
    Dropbox maintains previous versions of files, allowing users to recover older versions if needed, which is helpful in case of accidental deletions or edits.
  • Third-Party Integrations
    The platform integrates seamlessly with various third-party apps such as Microsoft Office, Slack, and Trello, enhancing its utility in workflow management.
  • Strong Security Measures
    Dropbox offers robust encryption both at rest and in transit, along with two-factor authentication to secure user data.

Possible disadvantages of Dropbox

  • Cost
    Dropbox can be expensive, especially for businesses or advanced individual users who require more storage than what is available in the free plan.
  • Privacy Concerns
    There have been concerns around Dropbox's privacy policies and data handling practices, which might not be ideal for users particularly concerned about privacy.
  • Storage Limits
    The free version of Dropbox offers limited storage capacity (only up to 2GB), which may not be sufficient for users with extensive storage needs.
  • Sync Performance Issues
    Some users have reported issues with the speed and reliability of file syncing, which can be disruptive, especially for large files or bulk uploads.
  • File Size Restrictions
    There are file size limitations for both free and certain paid plans, which may be inconvenient for users who need to store or share particularly large files.
  • Limited Offline Access
    While Dropbox allows files to be made available offline, the process is not always straightforward and can lead to accessibility issues when internet access is not available.

Google BigQuery features and specs

  • Scalability
    BigQuery can effortlessly scale to handle large volumes of data due to its serverless architecture, thereby reducing the operational overhead of managing infrastructure.
  • Speed
    It leverages Google's infrastructure to provide high-speed data processing, making it possible to run complex queries on massive datasets in a matter of seconds.
  • Integrations
    BigQuery easily integrates with various Google Cloud Platform services, as well as other popular data tools like Looker, Tableau, and Power BI.
  • Automatic Optimization
    Features like automatic data partitioning and clustering help to optimize query performance without requiring manual tuning.
  • Security
    BigQuery provides robust security features including IAM roles, customer-managed encryption keys, and detailed audit logging.
  • Cost Efficiency
    The pricing model is based on the amount of data processed, which can be cost-effective for many use cases when compared to traditional data warehouses.
  • Managed Service
    Being fully managed, BigQuery takes care of database administration tasks such as scaling, backups, and patch management, allowing users to focus on their data and queries.

Possible disadvantages of Google BigQuery

  • Cost Predictability
    While the pay-per-use model can be cost-efficient, it can also make cost forecasting difficult. Unexpected large queries could lead to higher-than-anticipated costs.
  • Complexity
    The learning curve can be steep for those who are not already familiar with SQL or Google Cloud Platform, potentially requiring training and education.
  • Limited Updates
    BigQuery is optimized for read-heavy operations, and it can be less efficient for scenarios that require frequent updates or deletions of data.
  • Query Pricing
    Costs are based on the amount of data processed by each query, which may not be suitable for use cases that require frequent analysis of large datasets.
  • Data Transfer Costs
    While internal data movement within Google Cloud can be cost-effective, transferring data to or from other services or on-premises systems can incur additional costs.
  • Dependency on Google Cloud
    Organizations heavily invested in multi-cloud or hybrid-cloud strategies may find the dependency on Google Cloud limiting.
  • Cold Data Performance
    Query performance might be slower for so-called 'cold data,' or data that has not been queried recently, affecting the responsiveness for some workloads.

Analysis of Google BigQuery

Overall verdict

  • Google BigQuery is a powerful and flexible data warehouse solution that suits a wide range of data analytics needs. Its ability to handle large volumes of data quickly makes it a preferred choice for organizations looking to leverage their data effectively.

Why this product is good

  • Google BigQuery is a fully-managed data warehouse that simplifies the analysis of large datasets. It is known for its scalability, speed, and integration with other Google Cloud services. It supports standard SQL, has built-in machine learning capabilities, and allows for seamless data integration from various sources. The serverless architecture means that users don't need to worry about infrastructure management, and its pay-as-you-go model provides cost efficiency.

Recommended for

  • Businesses requiring fast processing of large datasets
  • Organizations that already utilize Google Cloud services
  • Companies looking for a cost-effective, scalable analytics solution
  • Teams interested in using SQL for data analysis
  • Data scientists integrating machine learning with their data workflows

Dropbox videos

+ Add

Dropbox API / JavaScript ES6 Tutorial - Expense Organizer

More videos:

  • Review - Dropbox Update 2019 - Is it Worth It?
  • Tutorial - How To Build With Dropbox Webinar October 2020 | Dropbox API | Dropbox
  • Review - Everything You Need to Know: The NEW Dropbox 📦
  • Review - Dropbox Paper: Full Review (2019)
  • Review - Dropbox Review: Best Cloud Storage for File Sharing?
  • Review - Dropbox vs Google Drive vs OneDrive: The Ultimate Cloud Storage Showdown
  • Review - 2021 Best Cloud Storage | Dropbox vs OneDrive vs Google Drive vs iCloud vs Box vs Mega

Google BigQuery videos

+ Add

Cloud Dataprep Tutorial - Getting Started 101

More videos:

  • Review - Advanced Data Cleanup Techniques using Cloud Dataprep (Cloud Next '19)
  • Demo - Google Cloud Dataprep Premium product demo

Category Popularity

0-100% (relative to Dropbox and Google BigQuery)

Dropbox

Google BigQuery

Cloud Storage
100 100%
Cloud Storage
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
File Sharing
100 100%
File Sharing
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

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Reviews

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

Dropbox Reviews

  1. Lily1010
    good cloud service

    It's much more convenient than GoogleDrive. I frequently use it to share my projects on freelance platforms. This is reliable cloud storage with many features

    🏁 Competitors: Google Drive
    👍 Pros:    Reliable|Convenient|Easy to use
    👎 Cons:    Found none
Best Free Cloud Storage for 2024: What Cloud Storage Providers Offer the Most Free Storage?
Another big problem with Dropbox is the lack of features on the free plan. You can see the full list in the table at the end of the article, but features like the vault, smart sync, Dropbox Transfer, e-signatures, unlimited devices and offline access are all either completely missing or severely limited. You can find out more about these features in our Dropbox review.
Source: www.cloudwards.net
Best Cloud Storage Services for Linux
Koofr is a cloud storage provider that’s a good option for Linux because of its Linux GUI desktop client. They have an online version, desktop and mobile versions, browser extensions, and more. The best thing about Koofr is that you can connect Google Drive, Dropbox, and OneDrive to your Koofr account and search through all files from all accounts from Koofr.
Source: linuxstans.com
Best Top 12 MEGA Alternatives in 2024
In the world of cloud storage, there's no one-size-fits-all solution. The best MEGA alternative for you depends on your specific requirements and preferences. Whether it's Google Drive's integration, Dropbox's simplicity, or OneDrive's security, you have plenty of options to choose from. Evaluate your needs and make an informed decision to ensure your digital life is...
Source: www.multcloud.com
13 WeTransfer Alternatives (Free) in 2022
Dropbox is a file hosting service providing personal cloud, file synchronization, cloud storage, and client software. It is designed to collaborate on your projects, whether you are working alone or in a team.
Source: www.guru99.com
Best alternatives to WeTransfer of 2022
Microsoft OneDrive works like the other well-known consumer cloud storage options, the likes of Dropbox, Google Drive and iCloud: you specify the files and folders you want it to back up, and they get automatically synced with copies in the cloud, as well as all the other computers and devices where you've got OneDrive set up.
Source: www.techradar.com

Google BigQuery Reviews

Data Warehouse Tools
Google BigQuery: Similar to Snowflake, BigQuery offers a pay-per-use model with separate charges for storage and queries. Storage costs start around $0.01 per GB per month, while on-demand queries are billed at $5 per TB processed.
Source: peliqan.io
Top 6 Cloud Data Warehouses in 2023
You can also use BigQuery’s columnar and ANSI SQL databases to analyze petabytes of data at a fast speed. Its capabilities extend enough to accommodate spatial analysis using SQL and BigQuery GIS. Also, you can quickly create and run machine learning (ML) models on semi or large-scale structured data using simple SQL and BigQuery ML. Also, enjoy a real-time interactive...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Google BigQuery is an incredible platform for enterprises that want to run complex analytical queries or “heavy” queries that operate using a large set of data. This means it’s not ideal for running queries that are doing simple filtering or aggregation. So if your cloud data warehousing needs lightning-fast performance on a big set of data, Google BigQuery might be a great...
Source: www.shipyardapp.com
Top 5 BigQuery Alternatives: A Challenge of Complexity
BigQuery's emergence as an attractive analytics and data warehouse platform was a significant win, helping to drive a 45% increase in Google Cloud revenue in the last quarter. The company plans to maintain this momentum by focusing on a multi-cloud future where BigQuery advances the cause of democratized analytics.
Source: blog.panoply.io
16 Top Big Data Analytics Tools You Should Know About
Google BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities.
Source: www.analytixlabs.co.in

Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than Dropbox. It has been mentiond 42 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.

Dropbox mentions (28)

  • Excel What if Analysis Issue
    Even better: upload an example Excel file to a file-sharing website (box.net/files, dropbox.com, onedrive.live.com, etc), and post a download link that does not require that we log in. Source: over 1 year ago
  • How to save data on Obsidian? Worried about data loss
    Note that Dropbox automatically backs up all your files. So if you delete a file, you can recover it on dropbox.com, even 6 months later. Source: almost 2 years ago
  • How long would a USB stick last in storage?
    Upload what is on that stick to a cloud based system that is not vulnerable to degradation of hardware, you can get a lot of storage for free on sites like dropbox.com, mega.nz, or icloud. You can also always make multiple backups. Source: almost 2 years ago
  • Dropbox data gone
    Did you try logging into dropbox.com and checking there? Often the files remain online even if they are removed locallY. You have to log in with the same account you deleted Locally. Source: almost 2 years ago
  • Author Resources: Tools and Software
    Dropbox: You absolutely NEED backups. Ideally, both physical and cloud backups, because if you only have one backup, you're not backed up. I can't even begin to tell you how many writers have lost days, weeks, or even entire novels worth of work because they failed to back up their work, then had their computer break or had some weird software snafu. Dropbox is my preferred cloud backup solution, because you can... Source: almost 2 years ago
View more

Google BigQuery mentions (42)

  • Every Database Will Support Iceberg — Here's Why
    This isn’t hypothetical. It’s already happening. Snowflake supports reading and writing Iceberg. Databricks added Iceberg interoperability via Unity Catalog. Redshift and BigQuery are working toward it. - Source: dev.to / about 1 month ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    Many of these companies first tried achieving real-time results with batch systems like Snowflake or BigQuery. But they quickly found that even five-minute batch intervals weren't fast enough for today's event-driven needs. They turn to RisingWave for its simplicity, low operational burden, and easy integration with their existing PostgreSQL-based infrastructure. - Source: dev.to / about 2 months ago
  • How to Pitch Your Boss to Adopt Apache Iceberg?
    If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, you’ve probably noticed a shift happening in the data engineering world. A new generation of data infrastructure is forming — one that prioritizes openness, interoperability, and cost-efficiency. At the center of that shift is Apache Iceberg. - Source: dev.to / about 2 months ago
  • Study Notes 2.2.7: Managing Schedules and Backfills with BigQuery in Kestra
    BigQuery Documentation: Google Cloud BigQuery. - Source: dev.to / 4 months ago
  • Docker vs. Kubernetes: Which Is Right for Your DevOps Pipeline?
    Pro Tip: Use Kubernetes operators to extend its functionality for specific cloud services like AWS RDS or GCP BigQuery. - Source: dev.to / 7 months ago
View more

What are some alternatives?

When comparing Dropbox and Google BigQuery, you can also consider the following products

Google Drive - Access and sync your files anywhere

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

Mega - Secure File Storage and collaboration

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Box - Box offers secure content management and collaboration for individuals, teams and businesses, enabling secure file sharing and access to your files online.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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