Amazon S3 + PostgreSQL Integrations
Appy Pie Connect allows you to automate multiple workflows between Amazon S3 and PostgreSQL
- No code
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- Lightning Fast Setup
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Amazon Simple Storage Service is simple web services interface that you can use to store and retrieve any amount of data, at any time, from anywhere on the web.
About PostgreSQL
PostgreSQL is a leading object-relational database management system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads.
PostgreSQL IntegrationsLooking for the PostgreSQL Alternatives? Here is the list of top PostgreSQL Alternatives
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MSSQL
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MySQL
Best ways to Integrate Amazon S3 + PostgreSQL
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Amazon S3 + PostgreSQL
Create Row to PostgreSQL from New or Updated File in Amazon S3 Read More...When this happens...
New or Updated File
Then do this...
Create Row
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Amazon S3 + PostgreSQL
Update Row in PostgreSQL when New or Updated File is created in Amazon S3 Read More...When this happens...
New or Updated File
Then do this...
Update Row
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PostgreSQL + Amazon S3
Create Text Object to Amazon S3 from New Row in PostgreSQL Read More...When this happens...
New Row
Then do this...
Create Text Object
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When this happens...
New Row
Then do this...
Create Bucket
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PostgreSQL + Amazon S3
Upload File in Amazon S3 when New Row is created in PostgreSQL Read More...When this happens...
New Row
Then do this...
Upload File
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When this happens...
{{item.triggerTitle}}
Then do this...{{item.actionTitle}}
It's easy to connect Amazon S3 + PostgreSQL without coding knowledge. Start creating your own business flow.
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New or Updated File
Triggers when you add or update a file in a specific bucket. (The bucket must contain less than 10,000 total files.)
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New Column
Triggered when you add a new column.
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New Row
Triggered when you add a new row.
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New Row (Custom Query)
Triggered when new rows are returned from a custom query that you provide. Advanced Users Only
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Create Bucket
Create a new Bucket
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Create Text Object
Creates a brand new text file from plain text content you specify.
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Upload File
Copy an already-existing file or attachment from the trigger service.
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Create Row
Adds a new row.
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Update Row
Updates an existing row.
How Amazon S3 & PostgreSQL Integrations Work
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Step 1: Choose Amazon S3 as a trigger app and authenticate it on Appy Pie Connect.
(30 seconds)
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Step 2: Select "Trigger" from the Triggers List.
(10 seconds)
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Step 3: Pick PostgreSQL as an action app and authenticate.
(30 seconds)
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Step 4: Select a resulting action from the Action List.
(10 seconds)
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Step 5: Select the data you want to send from Amazon S3 to PostgreSQL.
(2 minutes)
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Your Connect is ready! It's time to start enjoying the benefits of workflow automation.
Integration of Amazon S3 and PostgreSQL
What is Amazon S3?
What is PostgreSQL?
Integration of Amazon S3 and PostgreSQL
Benefits of Integration of Amazon S3 and PostgreSQL
What is Amazon S3?
What is it used for?S3 stands for simple storage service. Amazon S3 is a web based storage system that enables developers to store any amount of data, at any time, from anywhere on the web. Developers have access to a simple web services interface that can be used to store and retrieve any amount of data, at any time, from anywhere on the Internet. The service aims to maximize benefits of scale and to pass those benefits on to developers. AWS offers a high level of durability and availability of 99.999999999% (11 9s. for objects over a given year. This durability is provided without the use of multiple copies.
S3's features include:S3 uses a simple REST web service interface. Amazon S3 also provides a set of command line tools that support uploading, downloading, and managing of content. There are SDKs available for many programming languages that make it easy to integrate with Amazon S3.
Amazon S3 Compute Services was announced on March 18, 2012. This allows one to create and run virtual machines on top of Amazon S3 with several predefined configurations called "instance types". An instance that runs on top of Amazon S3 is called an "AWS Elastic Compute Cloud" instance (EC2.
Amazon S3 charges its users in two ways:
The charge per gigabyte per month is calculated by adding 1/1000th of the total number of bytes e.g., 3 gb * 1/1000 = 0.001 amazon s3 storage fees for which you will be charged $0.0035 per month. As the size increases, so does the price per gigabyte. If the monthly charge exceeds 1 dollar, then there is no charge per byte stored. So if you store 1PB or more than 1PB of content each month your charges would be zero for the month that you exceed 1PB. This is due to a pricing strategy called variable pricing, which results in more charges if you go beyond your alloted amount of storage space then there is no charge for data stored on amazon s3 as long as your usage doesn't exceed your storage limit. The minimum charge for using amazon s3 is $0.01 per month for the first 10GB storage space during a month. Storage charges change depending on where the customer is located. For example, in India, the charges range between $0.004-0.008 per GB per month depending on the region where one stores their data in amazon s3 cloud storage service. International customers can avail discounts upto 90% depending upon the volume of data they happen to store in amazon s3 cloud storage service annually or monthly in some cases. Customers in US pay $0.0375 per GB per month which is comparatively cheaper than other regions where customers pay up to $0.15 per GB per month depending upon the region where they store their data in amazon s3 storage service.
The process to integrate Amazon S3 and PostgreSQL may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick solution to help you automate your workflows. Click on the button below to begin.
