Continual or UBOS? A Comprehensive Review

Cloud-based predictive modeling

Uses SQL for app creation

Works with BigQuery

Snowflake

Redshift

and Databricks

No need for complex infrastructure

Models improve continually

Data and models stored on warehouse

Easily accessible to operational and BI tools

Fast creation of web apps

Seamless integration of APIs

Supports custom ML models

Custom admin client creation

CRUD functionalities for management

Dynamic dashboard creation

Easily creates chatbots

Supports multiple integrations

Low-code/no-code Node-Red flow builder

Appsmith UI Builder

SQL-centric

Limited to cloud data platforms

Dependency on modern data stacks

No MLOPS infrastructure

Limited extensibility (Python only)

Dependent on dbt compatibility

Not suitable for traditional data management systems

Data must be on the same warehouse

No mention of multilingual support

Dependent on continuous access to data warehouse

Limited database support

Limited custom ML integration

Dependency on UBOS platform

Limited pre-built components

No standalone application

Limited low-code editors