Blur is a software application available for both Google Chrome and your smartphone. It's developed by Abine, an online privacy company trusted by more than twenty million people. Read more about Blur.
Tap a thing and the counter resets. A quiet, local-first day counter for the things you keep meaning to do. No account needed, no spreadsheet.
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Which is more popular?
Based on our record, Blur
should be more popular than mlsql.
It has been mentioned 7 times since March 2021.
social mentions
7 vs 2
Security & Privacy popularity
100% vs 0%
alternatives listed
111 vs 1
Base details
Website, pricing, platforms and company facts side by side.
Privacy Protection Blur provides robust privacy features such as masking your email, phone number, and credit card information to protect your personal data online.
Password Manager Blur includes a secure password manager that helps you create, store, and autofill complex passwords across different sites.
Tracker Blocking The service offers tracker blocking to prevent advertisers and other entities from tracking your online activity, enhancing your privacy.
Ease of Use Blur has a user-friendly interface that makes it easy to manage your privacy settings, passwords, and masked information.
Cross-platform Sync The product supports cross-platform synchronization, allowing you to access your passwords and masked information on multiple devices.
Possible disadvantages
Pricing Blur's premium features come at a cost, which might be expensive for some users compared to other privacy protection tools.
Complexity for Beginners The array of features can be overwhelming for users who are new to privacy tools and may require a learning curve.
Browser Extension Performance Some users report that the browser extension can slow down browsing performance or occasionally cause issues with web pages.
Data Export Limitations Exporting data from Blur can be cumbersome, limiting options for users who may want to switch to another service.
Manual Entry Requirement Users may need to manually enter or update information in the system, which can be time-consuming and inconvenient.
No features have been listed yet.
Analysis
An editorial look at what each product does well and who it suits.
Blurmlsql
Overall verdict
Blur by Abine is generally considered a good choice for individuals seeking to enhance their online privacy and security. It effectively masks personal information and can be a valuable tool for proactive privacy management. However, its effectiveness can vary depending on individual needs and usage patterns.
Why this product is good
Blur by Abine is a privacy-focused tool that helps users protect their personal information online. It offers features such as masking email addresses, phone numbers, and credit card details, which can help reduce spam and protect against identity theft. It is particularly useful for users who are concerned about their privacy and want to minimize their digital footprint while browsing or making transactions online.
Recommended for
Individuals who frequently make online purchases and want to protect their payment information.
Users concerned about email spam and phishing attempts who wish to keep their primary email address private.
Privacy-conscious individuals looking to minimize data collection by websites and advertisers.
People who want to manage their online accounts with added layers of security.
Overall verdict
MLSQL is a solid open-source unified platform that blends SQL with machine learning, making data engineering and ML workflows accessible through a single, declarative language. It's a good choice for teams looking to streamline big data and ML pipelines without switching between multiple tools.
Why this product is good
It unifies data processing and machine learning under a single SQL-like syntax, lowering the learning curve for data teams.
Built on top of Apache Spark, it leverages a proven distributed computing engine for handling large-scale data.
Open-source and actively developed, allowing customization and community-driven improvements.
Supports the full ML lifecycle including data preprocessing, training, and deployment within one workflow.
Reduces the need to context-switch between separate ETL, analytics, and ML tools.
Recommended for
Data engineers and data scientists who prefer SQL-centric workflows
Teams working with big data on Apache Spark
Organizations wanting to unify ETL and machine learning pipelines
Companies seeking an open-source alternative to fragmented ML tooling
Analysts looking to build ML models without deep programming expertise
Abine Blur ($39/year) is more than a password manager—it’s an entire privacy service that also blocks ad trackers and masks your email address, phone number, and credit card number. With those features, it offers the...
Blur is a product that creates instant virtual credit card numbers, manages passwords, provides a dedicated private phone number and more. Blur is the only all-in-one solution to protect your passwords, payments and...
Recommendations tracked on public social media and blogs since March 2021.
Blur7 mentionsmlsql2 mentions
How to mask your name on a debit card/online purchase? Here are my study notes & possible sites that might be able to do this, i dont know.
Https://abine.com (not sure, now its called ironvest.com).
Source:
almost 4 years ago
Someone has been online stalking me (29f ) using my dead grandparents names to make accounts .
That's super creepy. Would use a service to get your info off the internet for starters. I use abine.com.
Source:
about 4 years ago
Virtual Cards for Europe
I see *not allowed to write it* posted a lot here but they refuse to service non Americans and Revolut wants to give you a physical card which isn't what I'd be after, so what I wanna know is if anyone know of like abine.com for virtual...
Source:
over 4 years ago
Download the files from Docker Container and locally edit them
I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being...
Source:
over 4 years ago
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