Software Alternatives & Startups

DeHashed VS mlsql

Compare DeHashed VS mlsql and see what are their differences

DeHashed

DeHashed is the largest & fastest data breach search engine.

Rating
0 reviews
mlsql

Infer SQL queries from plain-text questions and table headers.

Rating
0 reviews
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, DeHashed should be more popular than mlsql. It has been mentioned 16 times since March 2021.

social mentions
16 vs 2
Security & Privacy popularity
100% vs 0%
alternatives listed
168 vs 1

Base details

Website, pricing, platforms and company facts side by side.

DeHashed
mlsql
Website dehashed.com github.com
Pricing —
Listed in

Features and specs

What each product offers, as listed by its team.

DeHashed 5 features
mlsql 0 features
  • Comprehensive Database
    DeHashed boasts a large repository of breached data, providing users with extensive coverage to check for compromised information.
  • Real-time Search
    The platform offers real-time search capabilities, allowing users to quickly find and verify compromised data across multiple data breaches.
  • User-Friendly Interface
    DeHashed has an intuitive user interface that makes it easy for both technical and non-technical users to navigate and utilize the service.
  • Multiple Search Options
    Users can search by various parameters, including email, username, IP address, and more, increasing the flexibility and usability of the service.
  • API Access
    For developers and organizations, DeHashed offers API access, enabling integration into other security tools and systems for automated monitoring.

Possible disadvantages

  • Paid Service
    While providing valuable services, DeHashed comes with a cost, which may be a barrier for individuals or small organizations with limited budgets.
  • Data Privacy Concerns
    Users may have concerns about submitting their information to check against the database, fearing the potential misuse of their data.
  • Limited Free Access
    The free tier of DeHashed offers only basic functionality, and advanced features are restricted to paid subscriptions, potentially limiting its utility for casual users.
  • Dependency on External Data Sources
    The accuracy and comprehensiveness of DeHashed are reliant on the quality and recency of external breached data sources, which may not always be up-to-date.
  • Potential False Positives
    As with any data breach repository, there is a risk of encountering false positives, where non-compromised data is mistakenly flagged, leading to potential confusion.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

DeHashed
mlsql

Overall verdict

  • DeHashed is generally regarded as a good service for those looking to keep track of their personal or organizational data exposure. It is particularly useful in cybersecurity for identifying potential threats and taking preventative actions.

Why this product is good

  • DeHashed is a tool commonly used for identifying compromised accounts and exposed data by searching billions of stolen records from data breaches. Its appeal lies in its comprehensive database, real-time breach alerts, and ability to provide information on usernames, emails, IP addresses, and other identifiers. Many users find it beneficial for its ease of use and efficiency in identifying personal data leaks.

Recommended for

    Individuals or businesses concerned about unauthorized data exposure, cybersecurity professionals, researchers focusing on data breaches, and anyone wanting to monitor for potential identity theft threats.

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

Videos

Walkthroughs and reviews on video.

DeHashed 1 video + Add
mlsql 0 videos + Add

DeHashed - Hacked Data Search Engine

No mlsql videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
DeHashed
mlsql
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
LMS
100% 100%

User comments

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

DeHashed 16 mentions
mlsql 2 mentions
  • Email address suggestions?
    You can try Dehashed (Paid, only a few bucks) and Holehe (Free. If you don't want to install it, use it through epieos.com). Source: almost 4 years ago
  • Best free reverse people search?
    After further looking it seems similar to https://dehashed.com. Source: almost 4 years ago
  • They are hacking 2 step verification
    I'm sorry this happened to you, but don't be so surprised. Phishing and MITM attacks are alive and well, and 2-FA is just a bandaid for bad password practices. You might do well to check on dehashed.com for your own credentials. Source: about 4 years ago

View more

  • 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
  • Clone and edit Docker Projects hosted on Github
    I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago

Alternatives to DeHashed and mlsql

When comparing DeHashed and mlsql, you can also consider the following products.