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Why S3 is better than blob?

Storage Size
Size of storage in Azure Blob Storage allows up to 100 accounts per subscription and a 500 TB storage account limit. But with AWS S3 it allows up to 100 buckets per bucket, but you can scale this limit. Also, it doesn't limit the number of objects you can store per bucket.
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Why is S3 is better for storage?

Amazon S3 is object storage built to store and retrieve any amount of data from anywhere. S3 is a simple storage service that offers industry leading durability, availability, performance, security, and virtually unlimited scalability at very low costs.
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Why is S3 better?

Powerful Security. Thanks to encryption features and access management tools, data stored in your AWS S3 environment is protected from unauthorized access. This includes blocking all public access from all of your objects — at both the bucket and account levels.
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Is Azure blob cheaper than S3?

AWS S3 costs $0.023 per GB per month for data stored in buckets. Cost decreases per GB with an increase in usage. For the cost of Data Stored, AWS S3 is a little more expensive than Azure Cool Blob Storage LRS, but AWS S3-IA is nearly 50% cheaper than Azure Cool Blob Storage GRS and RA-GRS.
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What is the difference between S3 and blob storage?

Size of storage in Azure Blob Storage allows up to 100 accounts per subscription and a 500 TB storage account limit. But with AWS S3 it allows up to 100 buckets per bucket, but you can scale this limit. Also, it doesn't limit the number of objects you can store per bucket.
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Amazon AWS S3 vs Microsoft Azure Blob vs Google Cloud for Business – Cost Comparison | StorageDNA

Is blob equivalent to S3?

For data that is infrequently accessed but must be available immediately when accessed, Azure Cool Blob Storage tier provides cheaper storage than standard blob storage. This storage tier is comparable to AWS S3 - Infrequent Access storage service.
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What are the disadvantages of S3?

​Limitations of Amazon S3
  • Operations on directories are potentially slow and non-atomic.
  • Not all file operations are supported. ...
  • Data is not visible in the object store until the entire output stream has been written.
  • Amazon S3 is eventually consistent.
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When should you use S3?

You can use S3 to store any amount of data for a wide range of use cases. Static website hosting, data archival, and software delivery are a few general scenarios where S3 would be a perfect tool. You can easily push and pull data with S3 using the AWS SDK.
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Is S3 good for big data?

Amazon S3 is the best place to build data lakes because of its unmatched durability, availability, scalability, security, compliance, and audit capabilities.
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Why is AWS S3 popular?

Some of the benefits of AWS S3 are: Durability: S3 provides 99.999999999 percent durability. Low cost: S3 lets you store data in a range of “storage classes.” These classes are based on the frequency and immediacy you require in accessing files.
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Is S3 a persistent storage?

Difference #3: Data in S3 is always persistent, unlike data in HDFS.
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What is S3 equivalent in Azure?

Microsoft Azure Blob

Azure Blob is the Microsoft equivalent to Amazon's S3-based object storage services. Within that, a “blob” is like a bucket as the framework for retention of objects.
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What is the largest object you can store in S3?

The total volume of data and number of objects you can store are unlimited. Individual Amazon S3 objects can range in size from a minimum of 0 bytes to a maximum of 5 terabytes. The largest object that can be uploaded in a single PUT is 5 gigabytes.
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How much traffic can S3 handle?

Resolution. Traffic between Amazon EC2 and Amazon S3 can leverage up to 100 Gbps of bandwidth to VPC endpoints and public IPs in the same Region.
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What is the optimal size for S3?

Make sure the file size on S3 is optimal – between 200 MB to 1GB. Too small files (less than 128 MB) means the execution engine may take a lot of time opening S3 files, and accessing details like metadata, listing directories, reading file headers and compression dictionaries etc.
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What are the biggest risks with open S3 buckets?

The main S3 risks include:
  • Configuration mistakes or oversights that allow malicious users to access sensitive data from inside S3 buckets.
  • Lack of visibility into which data is being stored inside S3 buckets and whether the protections in place for that data are sufficient.
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Why is blob storage better?

Blob Storage is optimized for storing massive amounts of unstructured data, such as text or binary data. Blob Storage is ideal for: Serving images or documents directly to a browser. Storing files for distributed access.
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Is Azure blob storage deprecated?

The following are deprecated storage patterns: The legacy Windows Azure Storage Blob driver (WASB) has been deprecated.
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Is S3 storage redundant?

The S3 One Zone-IA storage class stores data redundantly across multiple devices within a single Availability Zone.
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How many buckets can be created in S3?

Each AWS account can create 100 buckets, though more are available by requesting a service limit increase. The AWS account that creates a bucket owns it, and ownership is not transferable. An S3 customer can delete a bucket, but another AWS user can claim that globally unique name.
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How many files can be stored in S3?

A single Amazon S3 object can store from 0 bytes to a maximum of 5 terabytes. The largest object that can be uploaded in a single PUT is 5 gigabytes. The total volume that an s3 bucket can store is unlimited.
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How many S3 buckets can a user have per account by default?

By default, you can create up to 100 buckets in each of your AWS accounts. If you need additional buckets, you can increase your account bucket limit to a maximum of 1,000 buckets by submitting a service limit increase.
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Does Azure blob support S3?

On Azure cloud, Minio stores objects as blobs natively on Blob Storage enabling dual Amazon S3 and Azure Blob API access. Minio allows applications to access Azure Blob Storage with both Amazon S3 API and Azure Blob API. This also works on existing data transparently.
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Does Google have an S3 equivalent?

Google Storage is a service offering through GCP that provides static file hosting within resources known as “buckets”. If you're familiar with AWS, Google Storage is GCP's version of AWS Simple Storage Service (S3) and an S3 bucket would be equivalent to a Google Storage bucket across the two clouds.
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How is S3 different from a database?

S3 is designed for throughput, not necessarily predictable (or very low) latency. It can easily deal with bursts in traffic requests, especially if the requests are for different items. DynamoDB is designed for low latency and sustained usage patterns.
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