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What is Amazon Kinesis?

Seamlessly collect, manage, and analyze video and data streams in real time with ease. Amazon Kinesis streamlines the process of gathering, processing, and evaluating streaming data, empowering users to swiftly derive meaningful insights and react to new information without hesitation. Featuring essential capabilities, Amazon Kinesis offers a budget-friendly solution for managing streaming data at any scale, while allowing for the flexibility to choose the best tools suited to your application's specific requirements. You can leverage Amazon Kinesis to capture a variety of real-time data formats, such as video, audio, application logs, website clickstreams, and IoT telemetry data, for purposes ranging from machine learning to comprehensive analytics. This platform facilitates immediate processing and analysis of incoming data, removing the necessity to wait for full data acquisition before initiating the analysis phase. Additionally, Amazon Kinesis enables rapid ingestion, buffering, and processing of streaming data, allowing you to reveal insights in a matter of seconds or minutes, rather than enduring long waits of hours or days. The capacity to quickly respond to live data significantly improves decision-making and boosts operational efficiency across a multitude of sectors. Moreover, the integration of real-time data processing fosters innovation and adaptability, positioning organizations to thrive in an increasingly data-driven environment.

What is AWS Data Pipeline?

AWS Data Pipeline is a cloud service designed to facilitate the dependable transfer and processing of data between various AWS computing and storage platforms, as well as on-premises data sources, following established schedules. By leveraging AWS Data Pipeline, users gain consistent access to their stored information, enabling them to conduct extensive transformations and processing while effortlessly transferring results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. This service greatly simplifies the setup of complex data processing tasks that are resilient, repeatable, and highly dependable. Users benefit from the assurance that they do not have to worry about managing resource availability, inter-task dependencies, transient failures, or timeouts, nor do they need to implement a system for failure notifications. Additionally, AWS Data Pipeline allows users to efficiently transfer and process data that was previously locked away in on-premises data silos, which significantly boosts overall data accessibility and utility. By enhancing the workflow, this service not only makes data handling more efficient but also encourages better decision-making through improved data visibility. The result is a more streamlined and effective approach to managing data in the cloud.

Media

Media

Integrations Supported

AWS App Mesh
Amazon SageMaker Feature Store
Amazon Web Services (AWS)
Apache Storm
Ascend
BigBI
Hitachi Unified Compute RS Series
Hydrolix
InfluxDB
Logstash
Mackerel
Materialize
Meltano
Mozart Data
Observe
OpenSnowcat
Procyon
Reekoh
Rocket Data Replicate & Sync
Sclera

Integrations Supported

AWS App Mesh
Amazon SageMaker Feature Store
Amazon Web Services (AWS)
Apache Storm
Ascend
BigBI
Hitachi Unified Compute RS Series
Hydrolix
InfluxDB
Logstash
Mackerel
Materialize
Meltano
Mozart Data
Observe
OpenSnowcat
Procyon
Reekoh
Rocket Data Replicate & Sync
Sclera

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$1 per month
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/kinesis/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/datapipeline/

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Categories and Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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