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features
design
support

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Write a Review

Description

Propertybook NYC stands as the premier platform for real estate data in New York City. As a top-tier research tool, it offers unparalleled data to industry professionals, enabling them to make swift and informed decisions. We meticulously monitor every property, condominium, and cooperative in NYC, guaranteeing that our clients receive the most precise and current property and sales information. Our innovative stackable map layers enhance research capabilities, providing immediate geospatial insights that are essential for effective analysis. Real estate professionals—including appraisers, brokers, developers, investors, property owners, lenders, and attorneys—rely on Propertybook to guide their decision-making processes with confidence. By leveraging our comprehensive data, clients can navigate the complexities of the NYC real estate market with greater ease and accuracy.

Description

The Stackable data platform was crafted with a focus on flexibility and openness. It offers a carefully selected range of top-notch open source data applications, including Apache Kafka, OpenSearch, Trino, and Apache Spark. Unlike many competitors that either promote their proprietary solutions or enhance vendor dependence, Stackable embraces a more innovative strategy. All data applications are designed to integrate effortlessly and can be added or removed with remarkable speed. Built on Kubernetes, it is capable of operating in any environment, whether on-premises or in the cloud. To initiate your first Stackable data platform, all you require is stackablectl along with a Kubernetes cluster. In just a few minutes, you will be poised to begin working with your data. You can set up your one-line startup command right here. Much like kubectl, stackablectl is tailored for seamless interaction with the Stackable Data Platform. Utilize this command line tool for deploying and managing stackable data applications on Kubernetes. With stackablectl, you have the ability to create, delete, and update components efficiently, ensuring a smooth operational experience for your data management needs. The versatility and ease of use make it an excellent choice for developers and data engineers alike.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Airflow No 
Apache Druid No 
Apache HBase No 
Apache Hive No 
Apache Iceberg No 
Apache Kafka No 
Apache NiFi No 
Apache Spark No 
Apache ZooKeeper No 
Docker No 
Git No 
Kubernetes No 
MinIO No 
OpenSearch No 
Prometheus No 
Trino No 

Integrations

Apache Airflow Yes 
Apache Druid Yes 
Apache HBase Yes 
Apache Hive Yes 
Apache Iceberg Yes 
Apache Kafka Yes 
Apache NiFi Yes 
Apache Spark Yes 
Apache ZooKeeper Yes 
Docker Yes 
Git Yes 
Kubernetes Yes 
MinIO Yes 
OpenSearch Yes 
Prometheus Yes 
Trino Yes 

Pricing Details

$75/month/user
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs No 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Propertybook

Founded

2016

Country

United States

Website

propertybook.nyc

Vendor Details

Company Name

Stackable

Founded

2020

Country

Germany

Website

stackable.tech/

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration Yes 
Data Quality Control No 
Data Security Yes 
Information Governance No 
Master Data Management No 
Match & Merge No 

Data Warehouse

Ad hoc Query No 
Analytics Yes 
Data Integration Yes 
Data Migration Yes 
Data Quality Control No 
ETL - Extract / Transfer / Load Yes 
In-Memory Processing No 
Match & Merge No 

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