BlazingSQL vs. GraphQL
BlazingSQL vs. GraphQL
Product | Rating | Most Used By | Product Summary | Starting Price |
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BlazingSQL | N/A | BlazingSQL (formerly BlazingDB) is an Open-Source solution for SQL in Python. BlazingSQL provides a high-performance distributed SQL engine in Python. Built on the RAPIDS GPU data science ecosystem, ETL massive datasets on GPUs. BlazingSQL lets users ETL raw data directly into GPU memory as a GPU DataFrame (GDF). RAPIDS.ai is a suite of open-source libraries that allow the user to run end to end data science and analytics pipelines on GPUs. | N/A | |
GraphQL | N/A | GraphQL is a query language for APIs and a runtime for fulfilling those queries with existing data. GraphQL provides an understandable description of the data in an API, to give clients the ability to ask for exactly what they need and nothing more, to make it easier to evolve APIs over time, and enables developer tools. It is free to use and open source under an MIT license. | $0 |
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Editions & Modules | No answers on this topic | No answers on this topic | ||||||||||||||
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Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
Additional Details | — | — | ||||||||||||||
More Pricing Information |
BlazingSQL | GraphQL | |
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Small Businesses | Redis™* Score 9.0 out of 10 | Redis™* Score 9.0 out of 10 |
Medium-sized Companies | Redis™* Score 9.0 out of 10 | Redis™* Score 9.0 out of 10 |
Enterprises | Redis™* Score 9.0 out of 10 | Redis™* Score 9.0 out of 10 |
All Alternatives | View all alternatives | View all alternatives |
BlazingSQL | GraphQL | |
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