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Average Ratings 6 Ratings

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ease
features
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support

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

Gathr is a Data+AI fabric, helping enterprises rapidly deliver production-ready data and AI products. Data+AI fabric enables teams to effortlessly acquire, process, and harness data, leverage AI services to generate intelligence, and build consumer applications— all with unparalleled speed, scale, and confidence. Gathr’s self-service, AI-assisted, and collaborative approach enables data and AI leaders to achieve massive productivity gains by empowering their existing teams to deliver more valuable work in less time. With complete ownership and control over data and AI, flexibility and agility to experiment and innovate on an ongoing basis, and proven reliable performance at real-world scale, Gathr allows them to confidently accelerate POVs to production. Additionally, Gathr supports both cloud and air-gapped deployments, making it the ideal choice for diverse enterprise needs. Gathr, recognized by leading analysts like Gartner and Forrester, is a go-to-partner for Fortune 500 companies, such as United, Kroger, Philips, Truist, and many others.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh
Amazon DynamoDB
Amazon EC2
Amazon EMR
Amazon RDS
Amazon S3
Confluence
Databricks Data Intelligence Platform
EC2 Spot
Facebook
Facebook Ads
Functionize
GitHub
GitLab
Gmail
HubSpot AI Search Grader
IBM Rational ClearQuest
Jira
OpenAI
SquaredUp

Integrations

AWS App Mesh
Amazon DynamoDB
Amazon EC2
Amazon EMR
Amazon RDS
Amazon S3
Confluence
Databricks Data Intelligence Platform
EC2 Spot
Facebook
Facebook Ads
Functionize
GitHub
GitLab
Gmail
HubSpot AI Search Grader
IBM Rational ClearQuest
Jira
OpenAI
SquaredUp

Pricing Details

$1 per month
Free Trial
Free Version

Pricing Details

$0.25/credit
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/datapipeline/

Vendor Details

Company Name

Gathr.ai

Country

United States

Website

www.gathr.ai

Product Features

ETL

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

Product Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

ETL

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

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Streaming Analytics

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

Alternatives

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