WhatBuilds vs Continual

WhatBuilds or Continual? A Comprehensive Review

WhatBuilds

WhatBuilds

Build web apps in minutes

Continual

Continual

Cloud-based predictive modeling using SQL.

Overview

Description

WhatBuilds is a cutting-edge platform designed for swift and efficient web app development. It offers a drag and drop interface with a vast library of components, making it easy to create

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Continual is the go-to operational AI platform for predictive modeling in the cloud. It simplifies the process of building and maintaining models by using SQL and dbt declarations,

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Pricing Options

  • No free trial
  • Not Available
  • No free trial
  • Not Available

Features

Total Features

Features
Features

Unique Features

No features

No features

Pricing

Pricing Option

      Starting From

      • Not Available
      • Not Available

      Other Details

      Customer Types

      • No customer type information available
      • No customer type information available

      User Reviews

      User Ratings

      No Reviews

      No Reviews

      Pros

      • Swift web application building

      • Drag and drop UI

      • Over 1000 components

      • Suitable for various teams

      • Seamless source integration

      • Database

      • API

      • Warehouse

      • SaaS connection

      • Efficient data management

      • 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

      Cons

      • Limited to web applications

      • Less control over generated code

      • Only drag and drop interface

      • UI customisation potentially limited

      • Requires external data sources

      • Generated code clarity unknown

      • May overlook deep data quirks

      • 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

      Media and Screenshots

      Screenshots

      WhatBuilds
      Continual

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      Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

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