AWS Glue vs. Informatica MDM & 360 Applications

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Glue
Score 7.5 out of 10
N/A
AWS Glue is a managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load data for analytics. With it, users can create and run an ETL job in the AWS Management Console. Users point AWS Glue to data stored on AWS, and AWS Glue discovers data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, data is immediately searchable, queryable, and available for ETL.
$0.44
billed per second, 1 minute minimum
Informatica MDM & 360 Applications
Score 8.3 out of 10
N/A
Informatica MDM is an enterprise master data management solution that competes directly with IBM's InfoSphere and Oracle's Siebel UCM product.Informatica MDM and the company's 360 applications present a multidomain solution with flexibility to support any master data domain and relationship—whether on-premises, in the cloud, or both.N/A
Pricing
AWS GlueInformatica MDM & 360 Applications
Editions & Modules
per DPU-Hour
$0.44
billed per second, 1 minute minimum
No answers on this topic
Offerings
Pricing Offerings
AWS GlueInformatica MDM & 360 Applications
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AWS GlueInformatica MDM & 360 Applications
Best Alternatives
AWS GlueInformatica MDM & 360 Applications
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.1 out of 10

No answers on this topic

Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Informatica Customer 360 for Salesforce
Informatica Customer 360 for Salesforce
Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Winshuttle
Winshuttle
Score 7.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS GlueInformatica MDM & 360 Applications
Likelihood to Recommend
7.0
(0 ratings)
9.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(0 ratings)
Usability
7.0
(0 ratings)
9.0
(0 ratings)
Support Rating
7.0
(0 ratings)
9.0
(0 ratings)
Implementation Rating
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
AWS GlueInformatica MDM & 360 Applications
Likelihood to Recommend
When the data which requires ETL has different formats, schema, and volume, this service suits them best. So, when the volume is not consistent (typical use-case of healthcare and online shopping), AWS Glue can be the prime choice. When the data is available in both batch and streaming mode, the developer needs to generate a separate codebase. This increases the source code management efforts. So, prefer to go with Glue when the nature of the data is the same (either batched or streamed).
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It is a robust software with great management and data model. It can be difficult to learn how to use and deploy the first time but the mapping and features work very well and have optimized our productivity and cost savings. We can customize reports, create rules and integrate with other applications. Overall I recommend it.
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Pros
  • After data cleansing, the team also implemented the best practices for using AWS platform services as a Data Lake, such as job bookmarking for AWS Glue jobs, proper delimiter for the AWS Glue crawlers, partitioning in AWS S3, and transformation to parquet file for compression and faster querying time in Amazon Athena.
  • Data modernization through combining data from multiple sources into a functioning datasets, rebuilding DW, and resctructuring data sources.
  • Aims to lessen customer complaints, eliminate manual data extraction requests via SR from different data sources, and Increase accuracy, consistency and speed up reconciliation process.
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  • The control and excellent handling of all my data are a highlights of this program. Informatica MDM is a program that gives me the management that I deserve in my work.
  • This software has enough technology to create and modulate the data at my convenience, and each of the functions of this program contribution to the management of these processes.
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Cons
  • It’s integration with other cloud vendors is bit difficult
  • If it can support non SQL based databases as well, it would be powerful.
  • Real time data synchronisation in data source is missing
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  • Accommodate large legacy data sources such as SAP and Oracle.
  • Gain trusted insights by providing analysts with validated financial and customer data.
  • Implement the concept of Banking as a Service to bring Open Banking Capabilities and Digital Financial Services to customers.
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Likelihood to Renew
No answers on this topic
Supporting well in managing our huge customer base and managing the customer hierarchies well aligned with transactional processes
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Usability
I personally found it very usable for a data engineer's day job, particularly for performing ETL and managing the data pipelines.
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Strong Customer MDM capabilities for de-duplication, merging, golden record, exposing customer master data. Strong Integration capabilities
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Support Rating
Amazon responds in good time once the ticket has been generated but needs to generate tickets frequent because very few sample codes are available, and it's not cover all the scenarios.
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I'm not sure since I never used support. My colleagues never had any issues with it, therefore my rating would be an 8 with a certain range of uncertainty.
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Implementation Rating
No answers on this topic
The integrator did a fair job and even though Business Change Management was complex, it was well concluded on time
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Alternatives Considered
The cataloging of data objects is the best in the case of AWS Glue. We use AWS Glue in all of our data pipelines to sync external and internal data sources and to automatically produce SQL-based ETL based on AWS Glue catalog objects. Integration with Amazon products is the other advantage.
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Informatica MDM has proven it's worth in the organization by driving the revenue growth. It saves our lot of time by filtering out duplicate values and helps in solving critical business problems. It is very helpful when we deal with a lot of data. Apart from this we can populate data on various third party integration which is most useful case
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Return on Investment
  • Positive Impact :- after ETL we can able to do some kind of automation
  • Negative :- At some point of time it can hamper the cost but not really
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  • Every time this program is put into operation, the general management of each of the company's data is required, this program will present endless answers to its clients.
  • With the help of the Informatica MDM, you can reduce or simply better respond to the number of work demands.
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