uProc + Amazon S3 Integrations

Appy Pie Connect allows you to automate multiple workflows between uProc and Amazon S3

About uProc

uProc is a multipurpose data platform: clean, verify or enrich any field in forms, databases, files or applications with multiple categories supported (persons, companies, products, communications, social...).

About Amazon S3

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.

Amazon S3 Integrations
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Best uProc and Amazon S3 Integrations

  • uProc Amazon S3

    Gmail + Amazon S3

    Upload Files in Amazon S3 from new emails on Gmail [REQUIRED : Business Gmail Account] Read More...
    When this happens...
    uProc New Email
    Then do this...
    Amazon S3 Upload File

    Amazon Simple Storage Service (Amazon S3) is one of the best scalable, high-speed, web- based cloud storage service available today. Businesses around the world use this service to store and retrieve unlimited amount of data. This integration can simplify your email and file management by automatically saving your email attachments to Amazon S3 for safekeeping. Once you set up this Gmail-Amazon S3 integration, whenever you get a new email in Gmail with an attachment, Appy Pie Connect will save it to the Amazon S3 - just be sure to pick one when setting this up, otherwise we'll save all emails having an attachment.

    How It Works
    • A new email with attachment is received on Gmail
    • Appy Pie Connect automatically saves it to Amazon S3.
    What You Need
    • A Gmail account
    • A Amazon S3 account
  • uProc Amazon S3

    {{item.triggerAppName}} + {{item.actionAppName}}

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    When this happens...
    uProc {{item.triggerTitle}}
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect uProc + Amazon S3 in easier way

It's easy to connect uProc + Amazon S3 without coding knowledge. Start creating your own business flow.

  • 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.)

  • Select Tool

    Select a tool to perform verification or enrichment

  • Create Bucket

    Create a new Bucket

  • Create Text Object

    Creates a brand new text file from plain text content you specify.

  • Upload File

    Copy an already-existing file or attachment from the trigger service.

How uProc & Amazon S3 Integrations Work

  1. Step 1: Choose uProc as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate uProc with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Amazon S3 as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate Amazon S3 with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of uProc and Amazon S3


uProc is an open source top for processing unstructured data in its natural format. The data to be processed is stored in the Amazon S3 bucket. The data is first uploaded from the cloud to the uProc instance and then processed into a structured form.

Amazon S3?

Amazon Simple Storage Service (S3. is a web service that provides developers with programmatic access to store and retrieve object data on a scale that is suitable for applications that run in the AWS cloud. Amazon S3 uses a simple web service interface that you can use to store and retrieve any amount of data, at any time, from anywhere on the web. You pay only for storage used. There is no minimum fee or setup cost, and there are no scheduled charges.

Integration of uProc and Amazon S3

There are many possibilities of how uProc can be integrated with Amazon S3. Here are a few examples:

  • Data staging – uProc can be used for staging data on our server before it is uploaded to Amazon S3. We do this by using the “–staging” flag, which automatically uploads the data from standard input to our servers and stores it in our staging table. We then use the “–upload” flag to upload it to our Amazon S3 bucket.
  • Storing metadata – Another way uProc can be integrated with Amazon S3 is by storing metadata about the processed image in an Amazon DynamoDB database. After initially processing the image, we store the metadata in DynamoDB and then use the “–put-stored-metadata” flag to push the metadata up to Amazon S3. We do this after we have processed the image because we don’t want to process an image multiple times if we have already processed it already. This way we can ensure that we only push up metadata once per image. This also gives us the ability to pull down images later, even if they have not been processed yet, by telling us what the metadata is supposed to be.

Benefits of Integration of uProc and Amazon S3

There are many benefits of integrating uProc and Amazon S3. Some of them are:

  • Cost-effectiveness – uProc can be used as a scalable spution when working with large data sets stored in Amazon S3. Since uProc is an open source framework, there are no license fees associated with it. This means that there would be no monthly fees as opposed to paying for a proprietary software spution like AWS Glue. Also, there are no additional costs for operating the uProc cluster compared with running a cluster in AWS Cloud Formation. At the same time, Amazon offers a choice of several regions around the world with low latency and high reliability for your data, which increases performance and reduces costs. Also, since uProc was built on top of Apache Spark, you have all of Spark’s capabilities at your fingertips. We can use Spark to process files with large amounts of data in parallel on clusters that span multiple machines. Finally, uProc allows us to process files stored on Amazon S3 directly without transferring them out of Amazon S3 first. Since the data does not need to leave the Amazon S3 bucket, we save on transfer charges. In addition, we can process images directly in their native formats without needing any transformations or transcoding steps – saving time and increasing performance.
  • Scalability – The uProc framework enables us to process large amounts of data using different strategies, such as Spark streaming or Apache Storm. It has a built-in fault tperance system that allows us to remove and add nodes according to demand so that we can easily scale up or down as needed. With this flexibility, we can easily process unstructured data stored in our Amazon S3 buckets without having to go through a lengthy ETL process first (which might introduce errors. We can directly process data stored on Amazon S3 directly – saving time and money.
  • Security – uProc provides us with more security options than many other sputions available today. While most other sputions focus on moving the responsibility for security onto the user, uProc provides both transparent encryption and authentication built directly into its API. It also performs all encryption internally using Open SSL libraries, making it easy for users to securely transmit and store sensitive information like passwords and private keys without having to worry about potential security hpes themselves.


The process to integrate uProc and Amazon S3 may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.