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Informatica Intelligent Data Management Cloud vs Qdrant comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Informatica Intelligent Dat...
Ranking in AI Data Analysis
297th
Average Rating
7.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Qdrant
Ranking in AI Data Analysis
10th
Average Rating
8.8
Reviews Sentiment
5.4
Number of Reviews
9
Ranking in other categories
Open Source Databases (8th), Vector Databases (4th)
 

Featured Reviews

RS
Senior Delivery Architect at Capgemini
Improved data migration has supported governance and AI matching yet still needs smoother self-service
I would not characterize it as a drawback, but there are a few things which were good at that time but have now become stable. The older transformations that have degraded now have to be changed. I would not say it has to be something that needs to be updated or upgraded, but the bottom line is there needs to be updates for data migration and all that. Multiple companies, including my consulting service firm, have created accelerators for upgrading those things. Ultimately, I would say that it is still stable. If there is nothing to be updated or created, then our job would be done. I would say it is mixed regarding self-service data preparation features for non-technical users, as it is a tool that has been around for a long time. There is a significant amount of information on the internet to help us out, including many KB articles. However, I would suggest to Informatica that there should be a different approach in providing KB articles and information. The information should be provided in a seamless way for the entire functions, not in bits and pieces across different places. For instance, if I need to create a data model, the entire process flow, including database objects, entity objects, business entities, entity views, and all that should be presented in that particular direction as a project situation, rather than scattered across plain sections.
Chirag Morajkar - PeerSpot reviewer
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
Building accurate no-code resume screeners has saved weeks in document search workflows
I see room for improvement in Qdrant based on what another platform called Weaviate offers. Qdrant provides an excellent vector database with a solid searching method. However, it could elevate its offering by integrating embedding features. Currently, for the workflow automation I build, I rely on other platforms for embedding, so incorporating this feature directly in Qdrant Cloud would eliminate the need to depend on external solutions. A pain point I have encountered was the inactive expiration of the cloud created for certain projects. If the cloud is not used for a week, it gets terminated, which is frustrating. I think increasing that inactivity window in the free tier would be beneficial, as I have faced limitations due to this seven-day inactivity rule, requiring me to reset up the cloud after its termination.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Ultimately, I would say Informatica is still leading in the entire MDM space with multiple different users."
"Informatica Intelligent Data Management Cloud has pretty good services to handle data governance, data lineage, and data management."
"An accuracy boost was definitely observed from 45 to 50% using Faiss to around 85 to 95% using Qdrant, and the users are really happy as they are getting suggested really good schemes that would take a lot of time to find."
"Qdrant has positively impacted my organization mainly by reducing usage costs for AI because in the older system, in order to get the context, we were just dumping everything into the system, which would inflate the cost of the API, whatever AI we were using, such as OpenAI or Claude."
"Qdrant is a good and scalable vector database, and it is free."
"We saw a clear return on investment from Qdrant, particularly in the engineering time saved and the empowerment of team members to handle self-service tasks instead of reducing headcount."
"Qdrant is one of the best vector databases out there that is also open source."
"Using Qdrant's hybrid search capability has improved my search results."
"Qdrant has reduced our response time to less than one second for our 128 KB token sizes, and we are satisfied with that performance."
"Qdrant is an excellent vector database that anyone would want to use with RAG AI."
 

Cons

"I have not seen any return on investment at the moment or any tangible benefits so far."
"For Informatica Intelligent Data Management Cloud in general, as a product and service, I would rate it somewhere between seven to seven point five, particularly for the AI part because it is still new and still needs multiple refinements and efficiencies."
"Qdrant is available through a containerized Docker, but a normal deployment in Qdrant is not there, and that can actually be worked out."
"A lot of our work is agentic right now, and we have also segmented the content to be logical, so there's not a lot of vector search anymore."
"A pain point I have encountered was the inactive expiration of the cloud created for certain projects; if the cloud is not used for a week, it gets terminated, which is frustrating."
"The file system lock in Qdrant prevents the API and scripts from hitting it directly, and to surpass this limitation, I have to run Qdrant client as a service, which incurs additional costs for running it continuously, so if something about that could be done, it would be really amazing."
"There can always be improvements needed for Qdrant, but I do not want to add anything at this time."
"One of the key limitations is that Qdrant does not have built-in role-based access control, and while being self-hosted is a benefit, it can also be improved."
"Architectural complexity was a key friction point, as our primary database was set in Supabase, necessitating synchronization of two separate systems for user data, permissions, and states."
"Qdrant is pretty good overall, but it can be improved. For example, the UI could be better, and it has pretty much very generic features that every other vector database provides."
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Top Industries

By visitors reading reviews
No data available
Comms Service Provider
12%
Manufacturing Company
11%
Financial Services Firm
10%
Computer Software Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise1
 

Questions from the Community

What is your experience regarding pricing and costs for Informatica Intelligent Data Management Cloud?
I am not sure about the pricing side of Informatica Intelligent Data Management Cloud. That is something a different team works on.
What needs improvement with Informatica Intelligent Data Management Cloud?
I would like to have more AI capabilities. Looking at AI and the market AI currently has, AI capabilities will definitely help.
What is your primary use case for Informatica Intelligent Data Management Cloud?
I cannot disclose use cases because that is something confidential we have. However, services-wise, I can say that Informatica Intelligent Data Management Cloud has very good services for data gove...
What is your experience regarding pricing and costs for Qdrant?
My experience with pricing, setup cost, and licensing for Qdrant is that it is quite straightforward.
What needs improvement with Qdrant?
I would want Qdrant to support image vectorization, as I personally have that need within our organization, and since we have been using Qdrant for a while, it seems like a relevant feature to add....
What is your primary use case for Qdrant?
My main use case for Qdrant is as a vector database. As a vector database, I use Qdrant in a sequence and pipeline automation software that needs to look up information about certain items, each of...
 

Comparisons

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Overview

 

Sample Customers

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1. Airbnb 2. Amazon 3. Apple 4. BMW 5.Cisco 6. CocaCola 7. Dell 8. Disney 9. Google 10. HP 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Heinz 15. L'Oreal 16. McDonalds 17. Merck 18. Microsoft 19. Nike20. Oracle 21. PG 22. PepsiCo 23. Procter and Gamble 24. Samsung 25. Shell 26. Sony 27. Toyota 28. Visa 29. Walmart 30. WeWork
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