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FLOORFY VS mlsql

Compare FLOORFY VS mlsql and see what are their differences

FLOORFY

Real estate software to automatically create virtual tours, floor plans, video calls, photos, videos and more for real estate agencies.

Rating
5.0 · 1 review
Pricing
Freemium Free trial $24 / Monthly
Alternatives Is it good?
mlsql

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

Rating
0 reviews
Alternatives Is it good?
Anyone.com
The smarter way to buy, sell, and close real estate transactions. sponsored
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, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
0 vs 2
Virtual Reality popularity
100% vs 0%
alternatives listed
71 vs 1

Base details

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

FLOORFY
mlsql
Website floorfy.com github.com
Pricing
Freemium Free trial $24 / Monthly Official pricing
—
Platforms
Web Android iOS Google Chrome Wordpress Edge Safari +4
—
Company 2016 —
Listed in
Virtual Tours Real Estate Websites Virtual Reality Real Estate Marketing Real Estate Tools Real Estate Management Real Estate CRM 3D Rendering 3D +6
Education LMS Online Learning Web App +1

About FLOORFY and mlsql

In their own words, as submitted to SaaSHub.

FLOORFY
mlsql

FLOORFY helps real estate professionals digitizing the commercial transaction process through virtual experiences. Enabling them to automatically create content, like 3D tours, dimensioned floor plans, HD pictures, videos and invite their clients to virtual visits through our own video-call or...

Read more about FLOORFY

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

FLOORFY 12 features
mlsql 0 features
  • Automatic 3D tour generation
  • Virtual video calls
  • Live open-house event
  • Take measures
  • Share eveywhere
  • Information hotspots
  • Multi user
  • HD Photo extraction
  • Automativ dideo generation
  • Blurring
  • Edit your brand
  • Analytics

No features have been listed yet.

Analysis

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

FLOORFY
mlsql

Overall verdict

  • Floorfy is considered a good choice for real estate professionals seeking to modernize their property presentations and offer their clients a more immersive viewing experience. The platform's ease of use and comprehensive features make it a valuable tool for enhancing real estate marketing strategies.

Why this product is good

  • Floorfy (floorfy.com) is a platform that provides virtual tour technology, primarily for real estate listings, allowing potential buyers and renters to view properties in an interactive 3D format. This service can enhance the property viewing experience, reduce the need for physical visits, and potentially increase the reach of real estate listings to a broader audience.

Recommended for

    Real estate agents, property managers, real estate photographers, and anyone involved in selling or renting properties who want to leverage virtual tour technology to improve engagement with their listings.

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.

FLOORFY 3 videos + Add
mlsql 0 videos + Add

FLOORFY in 30 seconds

More videos

  • - Demonstration video
  • - How to virtualize a property

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
FLOORFY
mlsql
100% 100%
Virtual Reality
0% 0%
0% 0%
Web App
100% 100%
100% 100%
Virtual Tours
0% 0%
0% 0%
LMS
100% 100%

User comments

Share your experience with using FLOORFY and mlsql. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

FLOORFY 5.0 · 1 review
mlsql no reviews yet
  • Best customer experience and support
    SaaSHub review
    · Dec 2019

    We use Floorfy to virtualize our portfolio. Since we are using their software we have reduced the unnecesari visits up to 70%

We have no reviews of mlsql yet. Be the first one to post

Social recommendations and mentions

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

FLOORFY 0 mentions
mlsql 2 mentions

Tracking FLOORFY since Mar 2021.

  • 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 FLOORFY and mlsql

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