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What is SolarWinds Task Factory ?

Development teams working with data applications on the Microsoft data platform often face challenges when leveraging SQL Server Integration Services (SSIS) for their ETL tasks, which encompass extraction, loading, and processing of data. A key factor that is often overlooked is the necessity of a well-structured ETL design, which plays a vital role in ensuring peak performance for data-centric applications. Poorly designed SSIS packages can result in substantial waste of both development resources and processing power, causing potential degradation in application performance. Consequently, it is essential for these teams to focus on refining their ETL strategies, as this will significantly boost the overall efficiency and effectiveness of their systems. By doing so, they not only improve resource management but also enhance the user experience and reliability of their applications.

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 DynamoDB
Amazon EC2
Amazon EMR
Amazon RDS
Amazon S3
EC2 Spot
Functionize
SQL Server
SSIS
SquaredUp

Integrations Supported

AWS App Mesh
Amazon DynamoDB
Amazon EC2
Amazon EMR
Amazon RDS
Amazon S3
EC2 Spot
Functionize
SQL Server
SSIS
SquaredUp

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1 per month
Free Trial Offered?
Free Version

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

SolarWinds

Date Founded

2001

Company Location

United States

Company Website

www.solarwinds.com/task-factory

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/datapipeline/

Categories and Features

ETL

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

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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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