Amazon Kinesis
Amazon Kinesis

271
0
25
AWS Data Pipeline
AWS Data Pipeline

29
1
7
Add tool
- No public GitHub repository available -
- No public GitHub repository available -

What is Amazon Kinesis?

Amazon Kinesis can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data.

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.

Want advice about which of these to choose?Ask the StackShare community!

Why do developers choose Amazon Kinesis?
Why do developers choose AWS Data Pipeline?
Be the first to leave a pro
What are the cons of using Amazon Kinesis?
What are the cons of using AWS Data Pipeline?
Be the first to leave a con
Be the first to leave a con
What companies use Amazon Kinesis?
What companies use AWS Data Pipeline?
What are some alternatives to Amazon Kinesis and AWS Data Pipeline?
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.
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.
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.
See all alternatives
What tools integrate with Amazon Kinesis?
What tools integrate with AWS Data Pipeline?
No integrations found
Decisions about Amazon Kinesis and AWS Data Pipeline
No stack decisions found
Interest over time
Reviews of Amazon Kinesis and AWS Data Pipeline
No reviews found
How developers use Amazon Kinesis and AWS Data Pipeline
Avatar of Luca Bianchi
Luca Bianchi uses Amazon KinesisAmazon Kinesis

Fast data stream maanagement hiding complexity

Avatar of KASA FIK s.r.o.
KASA FIK s.r.o. uses Amazon KinesisAmazon Kinesis

Event streaming

How much does Amazon Kinesis cost?
How much does AWS Data Pipeline cost?
News about AWS Data Pipeline
More news