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  5. AWS Data Pipeline vs Synth

AWS Data Pipeline vs Synth

OverviewComparisonAlternatives

Overview

AWS Data Pipeline
AWS Data Pipeline
Stacks94
Followers398
Votes1
Synth
Synth
Stacks6
Followers7
Votes0

Synth vs AWS Data Pipeline: What are the differences?

What is Synth? Realistic, synthetic test data for your app. It is the quickest way to create accurate synthetic clones of your entire data infrastructure It creates end-to-end synthetic data environments that look and behave exactly like your production data. Down to your data's content and database version..

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.

Synth and AWS Data Pipeline can be primarily classified as "Data Transfer" tools.

Some of the features offered by Synth are:

  • Powered by AI
  • Safe by design
  • Developers first

On the other hand, AWS Data Pipeline provides the following key features:

  • 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

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Detailed Comparison

AWS Data Pipeline
AWS Data Pipeline
Synth
Synth

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.

It is the quickest way to create accurate synthetic clones of your entire data infrastructure. It creates end-to-end synthetic data environments that look and behave exactly like your production data. Down to your data's content and database version.

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;Periodic replication of on-premise JDBC database tables into RDS
Powered by AI; Safe by design; Developers first; From prod to dev, in one command
Statistics
Stacks
94
Stacks
6
Followers
398
Followers
7
Votes
1
Votes
0
Pros & Cons
Pros
  • 1
    Easy to create DAG and execute it
No community feedback yet
Integrations
No integrations available
Docker
Docker
PostgreSQL
PostgreSQL
MySQL
MySQL
MSSQL
MSSQL

What are some alternatives to AWS Data Pipeline, Synth?

AWS Snowball Edge

AWS Snowball Edge

AWS Snowball Edge is a 100TB data transfer device with on-board storage and compute capabilities. You can use Snowball Edge to move large amounts of data into and out of AWS, as a temporary storage tier for large local datasets, or to support local workloads in remote or offline locations.

Requests

Requests

It is an elegant and simple HTTP library for Python, built for human beings. It allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your POST data.

NPOI

NPOI

It is a .NET library that can read/write Office formats without Microsoft Office installed. No COM+, no interop.

HTTP/2

HTTP/2

It's focus is on performance; specifically, end-user perceived latency, network and server resource usage.

Embulk

Embulk

It is an open-source bulk data loader that helps data transfer between various databases, storages, file formats, and cloud services.

Google BigQuery Data Transfer Service

Google BigQuery Data Transfer Service

BigQuery Data Transfer Service lets you focus your efforts on analyzing your data. You can setup a data transfer with a few clicks. Your analytics team can lay the foundation for a data warehouse without writing a single line of code.

PieSync

PieSync

A cloud-based solution engineered to fill the gaps between cloud applications. The software utilizes Intelligent 2-way Contact Sync technology to sync contacts in real-time between your favorite CRM and marketing apps.

Resilio

Resilio

It offers the industry leading data synchronization tool. Trusted by millions of users and thousands of companies across the globe. Resilient, fast and scalable p2p file sync software for enterprises and individuals.

Flatfile

Flatfile

The drop-in data importer that implements in hours, not weeks. Give your users the import experience you always dreamed of, but never had time to build.

Gretel

Gretel

It gives you the first and only APIs to enable you to balance, anonymize, and share your data. With privacy guarantees.

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