Sold by: Paradime Labs, Inc.
Deployed on AWS
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Paradime is Cursor for Data, an AI-native platform for agentic data engineering that replaces dbt Cloud™. Teams using Paradime move 10X faster.
Overview
Paradime is Cursor for Data, an AI-native platform for agentic data engineering that replaces dbt Cloud™. Teams use Paradime to:
- Code data pipelines up to 10X faster for analytics and AI using dbt™ and Python
- Reduce Mean time to repair (MTTR) by up to 70% when running state-aware data pipelines for analytics and AI
- Monitor and reduce warehouse cost by up to 20% using AI-agents that run 24/7
Highlights
- AI-native Code IDE that helps teams develop 10X faster with dbt™ and Python, with built-in warehouse, and column-level lineage context.
- Bolt scheduler supports running state-aware dbt™ and Python pipelines with 70% less MTTR. Run CI tests with column-level impact analysis.
- Run Fivetran ingestion before, and refresh Tableau, PowerBI and other applications after data transformation pipelines finish.
Details
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Delivery method
Deployed on AWS
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Pricing
Free trial
Try this product free according to the free trial terms set by the vendor.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Number of Users | The number of developer and admin users. | $4,000.00 |
Vendor refund policy
The customer is not charged during the trial period. All purchases are final and Paradime does not provide a refund policy.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Support business hours are from Monday through Friday, from 9 AM to 6 PM (North America time zones (EST/CST/PST/MST), Central Europe (CET), United Kingdom (BST). Support business hours exclude local holidays in each timezone. Additional Advisory Services and 24/7 dedicated support can be purchased separately.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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In Databases & Analytics Platforms, Data Analytics, Continuous Integration and Continuous Delivery
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In Data Preparation, ELT/ETL
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AI-Powered Development Environment
Integrated code IDE with native AI capabilities for data engineering and analytics development
Pipeline Orchestration
State-aware scheduling system for dbt and Python data pipelines with advanced monitoring capabilities
Data Lineage Tracking
Column-level lineage context and impact analysis for comprehensive data transformation workflows
Multi-Platform Integration
Supports seamless integration with data ingestion and visualization tools like Fivetran, Tableau, and PowerBI
Performance Optimization
AI-driven agents for continuous warehouse cost monitoring and operational efficiency
Environment Management
Automated Snowflake infrastructure management using configuration and code deployment
Pipeline Orchestration
End-to-end data pipeline construction and tool integration for data ingestion, modeling, and testing
Continuous Integration/Deployment
Comprehensive CI/CD capabilities for data engineering workflows with automated testing and code management
Observability Framework
Unified metadata collection and management providing comprehensive operational insights across data products
Development Workflow
Integrated development environment supporting Snowflake workload development, testing, debugging, validation, and execution
Data Transformation Validation
Automated testing and validation of data transformations using advanced comparison techniques
CI/CD Integration
Seamless integration with continuous integration and deployment workflows for data models
Change Impact Analysis
Comprehensive detection and reporting of breaking changes, metric shifts, and potential edge cases in data models
dbt Compatibility
Native support and integration with dbt Cloud and dbt Core platforms for data transformation workflows
Automated Code Review
Automated code analysis and testing without requiring manual test script or custom query development
Standard contract
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