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AWS Data Pipeline vs ETL Solutions Transformation Manager comparison

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Cloud Data Integration
July 2022
Find out what your peers are saying about MuleSoft, Amazon, Informatica and others in Cloud Data Integration. Updated: July 2022.
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Top Answer:Back in the day, we could only get reports and analyze what happened after the fact, but today now we can generate real-time insights. Transformation Manager feeds your data science projects. We… more »
Top Answer:The pay-as-you-go model has replaced perpetual licensing, but many enterprises say they are paying more since moving to the cloud. Still, cloud platforms benefit smaller companies and offer one-click… more »
Top Answer:Transformation Manager reporting could be better. There are better options for reporting tools these days. We use Microsoft BI sometimes, but Tableau is becoming too expensive. Microsoft BI's… more »
Ranking
23rd
Views
1,213
Comparisons
1,113
Reviews
0
Average Words per Review
0
Rating
N/A
26th
Views
1,226
Comparisons
1,160
Reviews
1
Average Words per Review
758
Rating
9.0
Comparisons
Also Known As
Transformation Manager
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Overview

AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. ... AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premises data silos.

Transformation Manager is an integrated development toolkit that is used to build data migration and data integration solutions more efficiently. A metadata-driven code generator, Transformation Manager provides users with the ability to generate lightweight, easy-to-deploy code. It combines a Graphical User Interface with a statement-driven mapping language. The Transformation Manager software derives metadata from the elements, attributes and relationships in a source and target model. Transformation Manager then uses rules specified by Simple Mapping Language (SML), which is specifically designed for implementing data transformation projects, to generate code written in Java.
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Learn more about ETL Solutions Transformation Manager
Sample Customers
bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Honda, BNP Paribas, RBS, JPMorgan, Volkswagen, Thorn Lighting, OpenSpirit, Rolls-Royce, Ulster Bank
Top Industries
VISITORS READING REVIEWS
Computer Software Company22%
Comms Service Provider17%
Media Company14%
Financial Services Firm9%
VISITORS READING REVIEWS
Computer Software Company30%
Comms Service Provider10%
Government6%
Financial Services Firm6%
Company Size
VISITORS READING REVIEWS
Small Business13%
Midsize Enterprise11%
Large Enterprise76%
VISITORS READING REVIEWS
Small Business19%
Midsize Enterprise10%
Large Enterprise72%
Buyer's Guide
Cloud Data Integration
July 2022
Find out what your peers are saying about MuleSoft, Amazon, Informatica and others in Cloud Data Integration. Updated: July 2022.
621,703 professionals have used our research since 2012.

AWS Data Pipeline is ranked 23rd in Cloud Data Integration while ETL Solutions Transformation Manager is ranked 26th in Data Integration Tools with 1 review. AWS Data Pipeline is rated 0.0, while ETL Solutions Transformation Manager is rated 9.0. On the other hand, the top reviewer of ETL Solutions Transformation Manager writes "It lets us create models so we can generate real-time predictions and insights for a our clients". AWS Data Pipeline is most compared with AWS Database Migration Service, IBM Cloud Pak for Integration, AWS Glue, Oracle Data Integrator (ODI) and IBM InfoSphere DataStage, whereas ETL Solutions Transformation Manager is most compared with webMethods Integration Server, Altair Monarch, SSIS, Axway AMPLIFY Application Integration and Informatica Enterprise Data Lake.

We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.