Data Loaders

Data loaders are well structured, documented, and cleaned third-party data available over Kuwala.​

High-Resolution Demographics Data

Scale: Global availability
Update Cycle: Yearly
Resolution: 11 (~30x30 meters)

Top Features: Total, female, male, children under 5, youth 15 - 24, elderly 60 plus, women age 15 - 49

Point-of-Interest Data

Scale: Global availability
Update Cycle: Daily
Resolution: 15 (~1x1 meters)

Top Features: Category, brand, NAICs, opening hours, temporarily & permanently closed, building footprints, residential buildings, price level, reviews, contact

Popularity Data

Scale: Global availability
Update Cycle: Hourly
Resolution: 15 (~1x1 meters)

Top Features: Hourly popularity and visitation, traffic score, average spending & waiting time

Google Trends Data

Coming in August 2021

Scale: Global availability
Update Cycle: Hourly
Resolution: 3-5 (county & city level)

Top Features: Trend searches for categories, brands, and public events

Public Events Data

Coming in August 2021

Scale: Global availability
Update Cycle: Hourly
Resolution: 3-5 (county & city level)

Top Features: Categorized events aggregated from news papers

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Functions

Functions are easy to apply and add powerful capabilities to your datasets and external ones you use with Kuwala.

H3 Transformation

Method: H3 is an indexing method for geo-spatial data. By applying H3 you can easily match regions and points at different granularities.
Top Features: Polyfill (fill a polygon with hexagons), transforming a lat/lng pair to a unique identifier

Feature Matching

Coming in August 2021

Method: With a graph database, it is intuitive to combine multiple data sources and reduce data joins, thus increasing query performance.
Top Features: Queries by arbitrary geospatial feature across different data sources and granularities

Admin Boundaries
and Census Blocks

Coming in August 2021

Method: A function helping you to aggregate data globally on verified admin levels and census bloks.
Top Features: Comparing distribution of data points in different aggregation forms

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Destinations

Load the data and features that you need directly into your data warehouse, database, or into your product.

REST-API

Method: A REST-API for integrating features across data sources into your product, app, or service.
Top Features: Requesting average popularity of an arbitrary area filtered by category (e.g., restaurants)

Snowflake

Coming in August 2021

Method: Directly connect data sources to your Snowflake data warehouse.

Postgres

Coming in August 2021

Method: Directly connect data sources to your Postgres data warehouse.

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