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Which is more popular?
Based on our record, pCloud
seems to be more popular. It has been mentioned
36 times
since March 2021.
social mentions
36 vs 0
Cloud Storage popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
Security pCloud offers strong encryption for files, ensuring data is kept secure. They also offer optional pCloud Crypto service for even further encryption.
Lifetime Plans Users can pay a one-time fee for lifetime access to storage, which can be more cost-effective in the long run compared to monthly or annual subscriptions.
File Versioning pCloud keeps previous versions of files for up to 30 days (or extended time for premium plans). This is useful for retrieving older versions of documents and recovering from accidental deletions or changes.
Media Playback The service has built-in media playback options, allowing users to stream audio and video files directly from the cloud without needing to download them first.
Cross-Platform Compatibility pCloud is available on multiple platforms including Windows, Mac, Linux, iOS, and Android. This ensures users can access files from almost any device.
Possible disadvantages
Cost of pCloud Crypto The enhanced encryption service, pCloud Crypto, comes at an additional cost, which might be a downside for users wanting comprehensive security without extra fees.
No Document Editing Unlike some competitors, pCloud does not have integrated document editing capabilities. Users need to download documents, edit them, and upload them again.
Limited Collaboration Tools pCloud's collaboration tools are not as comprehensive as other cloud storage providers. For example, it lacks real-time collaborative editing features.
Customer Support Some users have reported that customer support response times can be slow, which can be frustrating if encountering urgent issues.
Free Plan Limitations The free plan offers limited storage (up to 10GB with bonuses for referrals and other activities), which may not be sufficient for users with larger storage needs.
Efficient Data Curation Lightly uses active learning and self-supervised learning techniques to help teams select the most valuable and diverse subset of data for labeling, reducing the amount of data needed for training while maintaining model performance.
Reduces Labeling Costs By intelligently selecting which images or videos to label, Lightly can significantly cut down on the manual annotation costs and time required for building computer vision datasets.
Self-Supervised Learning Integration The platform leverages self-supervised learning methods to extract meaningful embeddings from unlabeled data, enabling better understanding of dataset structure and redundancy before labeling.
Scalable for Large Datasets Lightly is designed to handle large-scale image and video datasets, making it suitable for enterprises dealing with massive amounts of visual data in computer vision projects.
Integration with ML Workflows Lightly offers APIs and integrations that allow it to fit into existing machine learning pipelines, working alongside popular annotation tools and cloud storage solutions.
Possible disadvantages
Learning Curve Teams new to active learning and self-supervised learning concepts may face a learning curve in understanding how to best utilize Lightly's data curation capabilities.
Narrow Use Case Focus Lightly is primarily focused on computer vision data curation, which may limit its usefulness for teams working with other data types such as text, audio, or tabular data.
Dependency on Data Quality The effectiveness of Lightly's curation algorithms depends heavily on the quality and representativeness of the initial dataset, which can limit results if the source data is poor.
Pricing for Smaller Teams Depending on the pricing tier, smaller teams or individual developers might find the cost of enterprise-level data curation features less accessible compared to open-source alternatives.
Requires Technical Expertise Effectively leveraging Lightly's advanced features like self-supervised learning models may require a certain level of machine learning expertise, which could be a barrier for less technical teams.
Analysis
An editorial look at what each product does well and who it suits.
pCloudLightly
Overall verdict
Overall, pCloud is a good choice for users who prioritize security and flexibility in their cloud storage solutions. Its combination of features, affordability, and strong user feedback make it a competitive option in the market.
Why this product is good
pCloud is considered a reliable cloud storage service due to its strong emphasis on security, including client-side encryption, and its flexible storage options that cater to both personal and business needs. It offers a lifetime plan, which is an attractive option for users looking for long-term storage solutions without recurring subscription fees. Additionally, it has cross-platform compatibility, making it accessible on various devices and operating systems. The service also provides ease of use with its intuitive interface and useful features such as file versioning, media playback, and extensive sharing options.
Recommended for
Individuals seeking long-term cloud storage solutions without monthly fees.
Users who need a secure platform for sensitive data, thanks to its optional zero-knowledge encryption feature (pCloud Crypto).
Professionals and small businesses looking for reliable storage with collaboration tools.
Anyone who requires access to their files across multiple devices and operating systems.
Media enthusiasts who want easy media streaming from their cloud storage.
Overall verdict
Lightly is a solid, well-regarded platform for data curation and active learning in computer vision, offering strong tooling for selecting the most valuable images/frames to label, which helps teams reduce annotation costs and improve model performance efficiently.
Why this product is good
Focuses on smart data selection and curation, helping avoid wasted labeling budget on redundant data
Offers both open-source (Lightly SSL) and commercial (Lightly Worker/Platform) options for flexibility
Uses self-supervised learning techniques to find diverse, representative, or edge-case samples
Integrates with common MLOps and labeling tools, fitting into existing computer vision pipelines
Scales to large unlabeled datasets, making it useful for teams with massive raw data but limited labeling resources
Provides visualization and embedding tools to explore dataset distribution and detect biases or gaps
Recommended for
Computer vision teams looking to reduce labeling costs through smarter data selection
ML engineers building active learning pipelines
Companies with large volumes of unlabeled image or video data
Teams wanting to improve model performance by curating more diverse or representative training sets
Organizations needing to detect dataset bias, redundancy, or edge cases before annotation
You can, therefore, adapt pCloud to suit your needs and pay exclusively for what you’ll use. Unlike MEGA, pCloud has no security issues and is among the safest options on the market. Not to mention its file versioning...
The only features youâll be missing on pCloudâs free cloud storage plan are password protection for files, expiry dates for publicly shared files and zero-knowledge encryption for your important documents. If this...
pCloud is a company based in Switzerland that focuses on security and privacy. They have an option to choose what server location you’d like to use – either a US (Dallas, Texax) or an EU (Luxembourg) one.
If you want Lifetime however, pCloud is a really popular option, with tons of features and good speeds (I typically get at least 160+ Mbps with them). They tend to run promos on their Lifetime deals around days like Black Friday,...
Source:
almost 3 years ago
How best to store mixed file sizes in cloud storage?
Why not just put everything in a virtual drive (like what pCloud does) so that way it doesn't matter how much storage each computer has - every computer will have, say, 2 TB to use (if you got their 2 TB plan).
Source:
over 3 years ago
Cannot launch pcloud on ArchLinux with Sway
Anyone experienced a problem running pcloud on ArchLinux with Sway? I recently did a system update, and now whenever I try to start the app (even if I download the binary direct from pcloud.com and run that) I get this error:
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Source:
over 3 years ago
Box offers secure content management and collaboration for individuals, teams and businesses, enabling secure file sharing and access to your files online.
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