Here’s the difference between dbt and Stitch. The comparison is based on pricing, deployment, business model, and other important factors.
Dbt is an analytics engineering workflow tool. The command line based build tool enables data analysts and engineers to transform data in their warehouse and can take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. It automates data quality testing, deploys analytics code, and delivers data with documentation.
Stitch provides extract, transform and Load (ETL) as a service for developers to securely manage the data preparation process. It allows users to configure their own data pipeline in a way that balances replication frequency and data selection by choosing the tables, fields, collections, and endpoints required in the warehouse. The product offers replicate API, monitoring & alerting during ETL process, security, compliance, cross-platform integration, and private infrastructure.
Overview | ||
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Categories | Data Modelling and Transformation | ETL Tools |
Stage | Early Stage | Mid Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Open Source | Open Core |
Pricing | Free trial, Contact Sales | Contact Sales |
Location | US | Philadelphia Us |
Companies using it | ||
Contact info |