Here’s the difference between Qubole and Dremio. The comparison is based on pricing, deployment, business model, and other important factors.
Qubole is a provider of a cloud-based data lake platform. The product offered by the company is a unified interface for connecting various data sources and querying them on the chosen technology and infrastructure. The platform uses machine learning to create and manage automated pipelines, and infrastructure optimization. It can also be used for ad-hoc querying, BI workloads, and application workloads. The clients of the company include GANNETT, KFC, Gaia, etc.
Dremio is a provider of analytical processing data lake engines. The features of the product include data security and control, SSO authentication, automatic backups, predictive pipelining, inbound impersonation, workload management, etc. The clients of the company include Henkel, Honeywell, NCR, UBS, Verisk, DIAGEO, etc.
Overview | ||
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Categories | Data Lakes | Data Warehouses, Data Lakes |
Stage | Late Stage | Mid Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaSOn Prem |
Business Model | Commercial | Commercial |
Pricing | Free trial, Contact Sales | Free trial |
Location | California, US | California, US |
Companies using it | ||
Contact info |