Prisms vs Continual

Prisms or Continual? A Comprehensive Review

Prisms

Prisms

Enables no-code app creation.

Continual

Continual

Cloud-based predictive modeling using SQL.

Overview

Description

Introducing Prisms - the ultimate no-code platform for creating efficient and innovative applications. Powered by leading language models like GPT3, DALL-E and Stable Diffusion, Prisms

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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

      2/5

      No Reviews

      Pros

      • No-code platform

      • Built on large models

      • Easy data source integration

      • Pre-built UI available

      • Wide range of applications

      • Launch scheduled for 2023

      • Mobile-friendly

      • Pre-built prompt assistance

      • Community showcase of projects

      • Automatic app deployment

      • 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

      • Launching in 2023

      • Requires waitlist

      • Undisclosed pricing

      • May limit customization

      • Reliant on few models

      • No mentioned API

      • Not fully launched

      • Backend only option

      • May lack flexibility

      • Undisclosed integration capabilities

      • 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

      Prisms
      Continual

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      Frequently Asked Questions (FAQs)

      Stuck on something? We're here to help with all the questions and answers in one place.

      Neither Prisms nor Continual offers a free trial.

      Pricing details for both Prisms and Continual are unavailable at this time. Contact the respective providers for more information.

      Prisms offers several advantages, including No-code platform, Built on large models, Easy data source integration, Pre-built UI available, Wide range of applications and many more functionalities.

      The cons of Prisms may include a Launching in 2023, Requires waitlist, Undisclosed pricing, May limit customization. and Undisclosed integration capabilities

      Continual offers several advantages, including Cloud-based predictive modeling, Uses SQL for app creation, Works with BigQuery, Snowflake, Redshift and many more functionalities.

      The cons of Continual may include a SQL-centric, Limited to cloud data platforms, Dependency on modern data stacks, No MLOPS infrastructure. and Dependent on continuous access to data warehouse

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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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