Amazon Redshift and Exasol: Choosing the best AWS data warehouse
If there’s a company synonymous with the cloud, it’s Amazon Web Services (AWS). It is known as the global leader in public cloud infrastructure; in 2016, it enjoyed a market share estimated at about 45%. That’s a considerable lead versus its nearest rivals Microsoft and Google, with around 25% and 15% respectively.
Many businesses no long wish to own or manage infrastructure, however they also see the value that a cloud strategy brings in terms of reduced costs, competitive advantage and new opportunities. The cloud offers an enticing combination of an operational expenditure model, enterprise-grade virtual hardware and the ability to scale to meet any business objective.This is why billion-dollar over the top (OTT) internet companies such as Netflix, Airbnb and Pinterest have built businesses based on infrastructure that is entirely outsourced to Amazon.
However, on-demand compute is not all that Amazon Web Services offers. It provides a broad set of cloud-based products from artificial intelligence (AI) to storage. From the largest enterprise to the hottest start-up, Amazon is attempting to offer everything for everyone when it comes to cloud.
When it comes to databases and analytics, Amazon has a number of options. A managed transactional database service called Amazon RDS, that comprises Amazon’s home-grown database called Amazon Aurora and Amazon Redshift, an analytic database designed for data warehousing.
In this whitepaper, we will explore how Redshift compares to Exasol.
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