Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AWS Data Pipeline is a robust web service designed to facilitate the reliable processing and movement of data across various AWS compute and storage services, as well as from on-premises data sources, according to defined schedules. This service enables you to consistently access data in its storage location, perform large-scale transformations and processing, and seamlessly transfer the outcomes to AWS services like Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. With AWS Data Pipeline, you can effortlessly construct intricate data processing workflows that are resilient, repeatable, and highly available. You can rest assured knowing that you do not need to manage resource availability, address inter-task dependencies, handle transient failures or timeouts during individual tasks, or set up a failure notification system. Additionally, AWS Data Pipeline provides the capability to access and process data that was previously confined within on-premises data silos, expanding your data processing possibilities significantly. This service ultimately streamlines the data management process and enhances operational efficiency across your organization.
Description
Dagster is the cloud-native open-source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.
It is the platform of choice data teams responsible for the development, production, and observation of data assets.
With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Airbyte
No
Amazon DynamoDB
Yes
Amazon EC2
Yes
Amazon EMR
Yes
Amazon Web Services (AWS)
No
Apache Airflow
No
Apache Spark
No
Azure Databricks
No
Coginiti
No
Collate
No
Integrations
Airbyte
Yes
Amazon DynamoDB
No
Amazon EC2
No
Amazon EMR
No
Amazon Web Services (AWS)
Yes
Apache Airflow
Yes
Apache Spark
Yes
Azure Databricks
Yes
Coginiti
Yes
Collate
Yes
Pricing Details
$1 per month
Free Trial
No
Free Version
Yes
Pricing Details
$0
Pricing starts at $0.04/min for Serverless and $0.03/min for Hybrid, and tapers down from there based on usage.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/datapipeline/
Vendor Details
Company Name
Dagster Labs
Founded
2019
Country
United States
Website
dagster.io
Product Features
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No
Product Features
Data Fabric
Data Access Management
No
Data Analytics
Yes
Data Collaboration
Yes
Data Lineage Tools
Yes
Data Networking / Connecting
Yes
Metadata Functionality
Yes
No Data Redundancy
No
Persistent Data Management
No
Data Management
Customer Data
No
Data Analysis
Yes
Data Capture
No
Data Integration
Yes
Data Migration
Yes
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
Yes
ETL
Data Analysis
Yes
Data Filtering
Yes
Data Quality Control
No
Job Scheduling
Yes
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
Yes
Natural Language Processing (NLP)
No
Predictive Modeling
Yes
Statistical / Mathematical Tools
Yes
Templates
No
Visualization
No