Crexi is a smart real estate property data management platform that allows searching the huge data with complete orientation like location, agent or broker’s descriptions, lease, auctions, and comparisons with other organizations.
warmup.rocks keeps your CDN cache warm in every edge location worldwide: Cloudflare, Fastly, Akamai, CloudFront and more. Warming from 42 countries, hit-ratio analytics.
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, Crexi
should be more popular than mlsql.
It has been mentioned 6 times since March 2021.
social mentions
2 vs 6
LMS popularity
100% vs 0%
alternatives listed
1 vs 26
Base details
Website, pricing, platforms and company facts side by side.
Comprehensive Listings Crexi provides a wide range of commercial real estate listings, offering users access to a vast selection of properties for sale and lease.
User-Friendly Interface The platform is designed with ease of use in mind, allowing users to navigate and search for properties efficiently.
Free Basic Access Crexi offers basic access to its platform for free, making it accessible to users without upfront costs.
Advanced Search Filters Users can utilize detailed search filters to find specific types of properties quickly and according to their preferences.
Market Analysis Tools Crexi provides tools for market analysis, helping users make informed decisions with data-driven insights.
Possible disadvantages
Limited Features on Free Version The free version of Crexi may not offer access to all features, limiting functionality compared to the premium version.
Data Accuracy As with many property listing platforms, there can be occasional issues with outdated or inaccurate property data.
Competitive Market The platform hosts a large number of listings, which can sometimes make it challenging for individual listings to stand out.
Learning Curve While generally user-friendly, some users might experience a learning curve when navigating the platform's advanced tools and features.
Subscription Costs Full access to all features and comprehensive insights often requires a paid subscription, which may not be cost-effective for all users.
Analysis
An editorial look at what each product does well and who it suits.
mlsqlCrexi
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
Share your experience with using mlsql and Crexi.
For example, how are they different and which one is better?
Social recommendations and mentions
Recommendations tracked on public social media and blogs since March 2021.
mlsql2 mentionsCrexi6 mentions
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
I found this great resource here: https://github.com/paulfitz/mlsql.
Source:
almost 5 years ago
We are in need of a storage and do not know who to contact
You can also search crexi.com. Costar owns loopnet and cityfeet. Costar is a broker-only expensive shared listing service. In addition, Loopnet charges a ton for listings so many brokers won't feel it's cost effective to put a smaller...
Source:
over 3 years ago
commercial real estate
CoStar: https://www.costar.com/
LoopNet: https://www.loopnet.com/
CREXi: https://crexi.com/
Real Commercial: https://www.realcommercial.com.au/
Zillow: https://www.zillow.com/commercial/
Realtor.com:...
Source:
almost 4 years ago
Buying multifamily properties in a downturn market with high rate?
The thing, as you noted, is that price hasn't come down to match rate hikes. I looked at deals on loop.net and crexi.com, all looks like bad deals for a leverage position, unless you have 40-45% cash downpayment, the cash flow could turn...
Source:
about 4 years ago
FriendlyData
Reonomy
CompStak
Estated
CoreProspect
LexisNexis Property Data
Argus Voyanta
FuseGIS
