Microsoft's Azure Data Factory is a service built for all data integration needs and skill levels. It is designed to allow the user to easily construct ETL and ELT processes code-free within the intuitive visual environment, or write one's own code. Visually integrate data sources using more than 80 natively built and maintenance-free connectors at no added cost. Focus on data—the serverless integration service does the rest.
N/A
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.
Informatica MDM is well suited as it supports more than 80 SaaS sources and provides a good control over data management. While Azure Data Factory supports only few SaaS sources. Informatica MDM supports amazing integration with other sources and enables organization with great …
Well-suited Scenarios for Azure Data Factory (ADF): When an organization has data sources spread across on-premises databases and cloud storage solutions, I think Azure Data Factory is excellent for integrating these sources. Azure Data Factory's integration with Azure Databricks allows it to handle large-scale data transformations effectively, leveraging the power of distributed processing. For regular ETL or ELT processes that need to run at specific intervals (daily, weekly, etc.), I think Azure Data Factory's scheduling capabilities are very handy. Less Appropriate Scenarios for Azure Data Factory: Real-time Data Streaming - Azure Data Factory is primarily batch-oriented. Simple Data Copy Tasks - For straightforward data copy tasks without the need for transformation or complex workflows, in my opinion, using Azure Data Factory might be overkill; simpler tools or scripts could suffice. Advanced Data Science Workflows: While Azure Data Factory can handle data prep and transformation, in my experience, it's not designed for in-depth data science tasks. I think for advanced analytics, machine learning, or statistical modeling, integration with specialized tools would be necessary.
Informatica MDM is a complete MDM solution, from ingestion to data exposition. This tool helps us in gathering customer data, and also it makes it possible for us to support our customers relationships and build customer-related strategies to improve their experience which helps to drive sales geometry and growth and customers satisfaction. On the other hand of price is relatively competitive.
It allows copying data from various types of data sources like on-premise files, Azure Database, Excel, JSON, Azure Synapse, API, etc. to the desired destination.
We can use linked service in multiple pipeline/data load.
It also allows the running of SSIS & SSMS packages which makes it an easy-to-use ETL & ELT tool.
This program raises us to a professional level where we have better versatility to control all the media of my work and have a correct response for each scenario.
It is essential to be right about the destination and development of my data, Informatica MDM is here to simplify all these processes for its users.
It is unfortunate how this program has a couple of limitations in terms of insertions; it does not have the ability to agglomerate and archive the data in real-time by groups.
To have automation functions, the program is very limited in performing one task at a time, compared to other systems that perform functions simultaneously.
We have not had need to engage with Microsoft much on Azure Data Factory, but they have been responsive and helpful when needed. This being said, we have not had a major emergency or outage requiring their intervention. The score of seven is a representation that they have done well for now, but have not proved out their support for a significant issue
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.
The easy integration with other Microsoft software as well as high processing speed, very flexible cost, and high level of security of Microsoft Azure products and services stack up against other similar products.
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
I cannot speak to this for 2 reasons. 1. I am not privy to the financials associated with this implementation or the previous one. 2. We have not hit our 'go-live' for this implementation yet to compare it's performance to our previous solution.