Azure Data Lake Analytics vs. Informatica MDM & 360 Applications

Azure Data Lake Analytics services are beneficial when working with a lot of data. It can process enormous amounts of data extremely quickly. Service is secure and easy to set up, build, scale, and run on Azure. Regarding big data analytics and reporting, parallel processing has a significant impact. It consolidated our analytics from multiple systems and increased our analysis productivity. This tool has excellent support for reporting tools like Power BI and is very quick when performing analytics.

Incentivized

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.

Incentivized

• Process large data transformation jobs using pretty much any language needed.
• Native integration with Azure storage.
• Top notch security that fulfills all audit needs.
• Easy to consolidate enterprise data under one location - Single source of truth.

Incentivized

• 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.

Incentivized

• There's a bit of bias towards cloud with ADL Analytics. Depending upon a company's infra strategy and investment plans, there are some challenges with migration and integeration.
• Not worth the time/effort/money if the organization doesn't have "Volume" of data. Cost effective only when daily loads exceed around 1million.
• While training materials are available online, Adoption rate - Yet to pick up.

Incentivized

• 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.

Incentivized

Supporting well in managing our huge customer base and managing the customer hierarchies well aligned with transactional processes

Incentivized

Strong Customer MDM capabilities for de-duplication, merging, golden record, exposing customer master data. Strong Integration capabilities

Incentivized

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 integrator did a fair job and even though Business Change Management was complex, it was well concluded on time

Incentivized

We did some research about Alibaba Cloud Data Lake Analytics and even being cheaper than Azure Data Lake Analytics, we decided to go for the second one once we noticed they have more features and better documentation. Another thing we considered during this process was the fact that we have more people that already have Azure Cloud knowledge.

Incentivized

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

Incentivized

• It lets us manage and scan data, making our work easy and efficient.
• It helped me manage real-time data, process it, and send it to reporting.
• Data centralization or data warehousing projects are being implemented with its help.

Incentivized

• 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.

Incentivized