Last updated on Nov 07, 2023
Snowflake data cloud is a powerful data warehouse management platform. It is not an addition to already existing data warehouse management platforms. Snowflake data cloud is built on top of various cloud services such as Amazon web services, Microsoft Azure, and GCP (Google cloud platform) infrastructure. One more interesting thing about Snowflake data cloud is that this platform doesn’t require any installation prerequisites like hardware or software components to select, configure, or manage. With the help of the Snowflake data cloud, it’s easy to move the data into the ETL (extract, transfer, and load) process.
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S3 stands for simple storage service and this is the first-ever service produced by Amazon web service. S3 file is considered to be the safest place to store the data files. S3 is object-based storage; here you can store the images, pdf files, and Word files, etc. The S3 file storage value can range from 0 bytes to 5Terra bytes. Usually, files are stored in Bucket. A bucket is like a folder that is used to store the files. S3 is a universal namespace that contains a DNS address, unique bucket name, and unique DNS address.
If you want to create the bucket, you have to use the following bucket:
Where s3-EU-west-1 is the region name and acloudguru is the bucket name.
Here we are going to explain the major differences between the Snowflake and S3 that are based on a few factors. Let’s get started;
We are going to consider the following factors for comparison.
Let me explain them one by one;
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Below are the salient features of the snowflake:
The following are the salient features of S3:
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The following are the key benefits of the Snowflake:
The below are a few drawbacks of the snowflake:
Below are a few benefits of the S3:
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The following are the few drawbacks of S3:
In the Snowflake VS S3 article, we have tried to explain the major comparison between the tools based on various factors such as data integration, data updates, data support formats, native stack, SQL interfaces, exposing or consuming data, and sharing of the data across the accounts. Stay tuned to our website for more updates.
As a senior Technical Content Writer for HKR Trainings, Gayathri has a good comprehension of the present technical innovations, which incorporates perspectives like Business Intelligence and Analytics. She conveys advanced technical ideas precisely and vividly, as conceivable to the target group, guaranteeing that the content is available to clients. She writes qualitative content in the field of Data Warehousing & ETL, Big Data Analytics, and ERP Tools. Connect me on LinkedIn.
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