Compare - Upsolver VS Dataform
Here’s the difference between Upsolver and Dataform. The comparison is based on pricing, deployment, business model, and other important factors.
About Upsolver
Upsolver is the only no-code data lake engineering platform. It empowers any SQL-savvy data practitioner to design and deliver big data projects on an AWS or Azure in days, not the months required by hand-coding and configuring Spark implementations. Upsolver is used by the world's most data-intensive organizations, including Sisense, ironSource, and AppsFlyer, for preparing petabyte-scale streaming datasets.
About Dataform
Dataform is an application to manage data in BigQuery, Snowflake, Redshift, and other data warehouses. It enables data teams to build scalable, tested, SQL based data transformation pipelines using version control and engineering inspired best practices. Compile hundreds of data models in under a second using SQLX. SQLX extends your existing SQL warehouse dialect to add features that support dependency management, testing, documentation and more.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Modelling and Transformation, Data Lakes, Data Warehouses | Data Modelling and Transformation |
| Stage | Mid Stage | Early Stage |
| Target Segment | Mid Size, Enterprise | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Free Trial, Contact Sales | Free trial |
| Location | California, US | London, UK |
| Companies using it | ||
| Contact info |
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