NocoAI or Continual? A Comprehensive Review

No-Code platform

Serverless features

Create client/backend APIs

Apply prompt templates

Build custom models

API authorization options

Request and user limits

API usage analysis

Mustache template engine

Custom fine-tuned models

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

Limited API requests

Limit on users

No excess options

API authorization required

Prompt templates restricted to Mustache

Undefined variable fine-tuning

Analysis of API usage planned but not yet available

Request and user limit addition planning

Excess costs on increased API requests and Active Users

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