Cloud-based predictive modeling using SQL.
Free trial not available
Overview
Ratings
Alternatives
FAQs
Overview
Ratings
Alternatives
FAQs
Overview
Ratings
Alternatives
FAQs
Claim your listing to control your profile and help buyers evaluate your software with current feature and pricing information.
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, eliminating the need for complex engineering and MLOPS platforms. With Continual, teams can share features and accelerate model development. It continuously improves models to ensure up-to-date predictions, with data and models easily accessible through warehouses. Perfect for modern data teams who love SQL and dbt, but can also be extended by data scientists
Pricing
Free trial not available
Cloud-based predictive modeling, Uses SQL for app creation, Works with BigQuery, Snowflake
SQL-centric, Limited to cloud data platforms, Dependency on modern data stacks
Continual users appreciate its Cloud-based predictive modeling, Uses SQL for app creation, Works with BigQuery and Snowflake, though some note a SQL-centric, Limited to cloud data platforms and Dependency on modern data stacks.
Automation solution for non-coders.
Industry computer vision development and deployment.
Data annotation platform for training.
Accelerating AI application development by 10x.
Data and time-series app development for enterprises.
Create and share custom apps without coding.
Stuck on something? We're here to help with all the questions and answers in one place.
Some top alternatives to Continual includes Drafter AI, Viso.ai, Labelbox, Instill Tech and LastMile.
Continual offers pricing model
The starting price is not disclosed by Continual. You can visit Continual website to get the latest pricing.
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
Quick Compare
Popular categories
Quick compares
Latest products
Ensure your profile is complete so buyers can shortlist your product faster.
