Need advice about which tool to choose?Ask the StackShare community!
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn MorePros of AWS Data Pipeline
Pros of AWS Import/Export
Pros of Google BigQuery Data Transfer Service
Pros of AWS Data Pipeline
- Easy to create DAG and execute it1
Pros of AWS Import/Export
Be the first to leave a pro
Pros of Google BigQuery Data Transfer Service
Be the first to leave a pro
Sign up to add or upvote prosMake informed product decisions
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 AWS Import/Export?
Import/Export supports importing and exporting data into and out of Amazon S3 buckets. For significant data sets, AWS Import/Export is often faster than Internet transfer and more cost effective than upgrading your connectivity.
What is 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.
Need advice about which tool to choose?Ask the StackShare community!
Jobs that mention AWS Data Pipeline, AWS Import/Export, and Google BigQuery Data Transfer Service as a desired skillset
What companies use AWS Data Pipeline?
What companies use AWS Import/Export?
What companies use Google BigQuery Data Transfer Service?
What companies use AWS Data Pipeline?
What companies use AWS Import/Export?
What companies use Google BigQuery Data Transfer Service?
Sign up to get full access to all the companiesMake informed product decisions
What tools integrate with AWS Data Pipeline?
What tools integrate with AWS Import/Export?
What tools integrate with Google BigQuery Data Transfer Service?
What tools integrate with AWS Data Pipeline?
What tools integrate with AWS Import/Export?
What tools integrate with Google BigQuery Data Transfer Service?
What are some alternatives to AWS Data Pipeline, AWS Import/Export, and Google BigQuery Data Transfer Service?
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.