![]() With Redshift, you can rely on Amazon's quality service. Let's face it: that is why you pay so much for a high-level database solution. Instead of having to copy or move data, you can simply share data across Redshift clusters. It offers a simple GUI (General User Interface) so that you can scale with a matter of a few clicks. While the costs may be prohibitive for smaller businesses dealing in lower volumes of data, Amazon Redshift offers petabyte-scale data warehousing. Redshift caches result so that you can perform repeat queries with incredible speed. Amazon Redshift's Advanced Query Accelerator is a relatively recent feature that speeds up some kinds of queries automatically. Machine learning models allow users to not only process data but garner benefits from the results. Data compression and columnar storage ensure this. This is because you can pay for storage and compute independently if you need to scale them at different rates. According to Amazon, RA3 instances can give you as much as three times better price performance than other solutions. Redshift easily and quickly integrates into the ecosystem. Amazon Web Services is an essential tool for many businesses, and their infrastructure and ecosystem may rely heavily on AWS. ![]() Here are some of the top benefits that have made it so: We provide integrations with Redshift and many other top database solutions to help companies perform ETL quickly and painlessly.Īmazon Redshift is clearly in a class of its own. That is where a low-code ETL platform like Integrate.io comes in. Some have mentioned that Redshift has a fairly steep learning curve for ETL because of its complex architecture and a wide variety of high-level features. As a fairly recent addition, RA3 nodes have been a useful change to allow storage and computing to scale independently.
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