Here’s the difference between dbt and Nexla. 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.
Nexla is the leader in unified data operations and a 2021 Gartner Cool Vendor. This platform makes it simple for anyone to create scalable data flows. Teams working with data get a no/low-code unified experience to integrate, transform, provision, and monitor data for any use case. Data users with varying skill levels work collaboratively to create ready-to-use data products. As a result, organizations get zero-friction, governed, and agile data operations.
Overview | ||
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Categories | Data Modelling and Transformation | Data Mesh, Reverse ETL Tools |
Stage | Early Stage | Mid Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Open Source | Commercial |
Pricing | Free trial, Contact Sales | Contact Sales |
Location | US | San Mateo, California |
Companies using it | ||
Contact info |