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AWS Data Pipeline

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Lob

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AWS Data Pipeline vs Lob: What are the differences?

What is AWS Data Pipeline? Process and move data between different AWS compute and storage services. AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.

What is Lob? Print and Mail for Developers. The simplest way to integrate printing into your applications.

AWS Data Pipeline and Lob are primarily classified as "Data Transfer" and "Printing API" tools respectively.

Some of the features offered by AWS Data Pipeline are:

  • You can find (and use) a variety of popular AWS Data Pipeline tasks in the AWS Management Console’s template section.
  • Hourly analysis of Amazon S3‐based log data
  • Daily replication of AmazonDynamoDB data to Amazon S3

On the other hand, Lob provides the following key features:

  • Send. Print. Mail. - Send everything from letters to posters via an HTTP request. Your content gets printed on high quality paper by the best commercial equipment available. Delivered to any destination in the world. We keep you updated through the entire process.
  • RESTful API- Control your entire print job via our REST API.
  • For Bills and Invoices, Posters and Flyers, Postcards and Photos
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Pros of AWS Data Pipeline
Pros of Lob
  • 1
    Easy to create DAG and execute it
  • 2
    RESTful API

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What is AWS Data Pipeline?

AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.

What is Lob?

The simplest way to integrate printing into your applications.

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What companies use AWS Data Pipeline?
What companies use Lob?
See which teams inside your own company are using AWS Data Pipeline or Lob.
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What tools integrate with AWS Data Pipeline?
What tools integrate with Lob?

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What are some alternatives to AWS Data Pipeline and Lob?
AWS Glue
A fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.
Airflow
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
AWS Step Functions
AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.
Apache NiFi
An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.
AWS Batch
It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.
See all alternatives