The Dataiku platform unifies data work from analytics to Generative AI. It supports enterprise analytics with visual, cloud-based tooling for data preparation, visualization, and workflow automation.
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Informatica MDM & 360 Applications
Score 5.4 out of 10
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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.
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Pricing
Dataiku
Informatica MDM & 360 Applications
Editions & Modules
Discover
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Enterprise
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Offerings
Pricing Offerings
Dataiku
Informatica MDM & 360 Applications
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Dataiku
Informatica MDM & 360 Applications
Features
Dataiku
Informatica MDM & 360 Applications
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Dataiku
8.6
5 Ratings
3% above category average
Informatica MDM & 360 Applications
-
Ratings
Connect to Multiple Data Sources
8.05 Ratings
00 Ratings
Extend Existing Data Sources
10.04 Ratings
00 Ratings
Automatic Data Format Detection
10.05 Ratings
00 Ratings
MDM Integration
6.52 Ratings
00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Dataiku
10.0
5 Ratings
17% above category average
Informatica MDM & 360 Applications
-
Ratings
Visualization
10.05 Ratings
00 Ratings
Interactive Data Analysis
10.05 Ratings
00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Dataiku
9.5
5 Ratings
15% above category average
Informatica MDM & 360 Applications
-
Ratings
Interactive Data Cleaning and Enrichment
9.05 Ratings
00 Ratings
Data Transformations
9.05 Ratings
00 Ratings
Data Encryption
10.04 Ratings
00 Ratings
Built-in Processors
10.04 Ratings
00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Dataiku
8.5
5 Ratings
1% above category average
Informatica MDM & 360 Applications
-
Ratings
Multiple Model Development Languages and Tools
8.05 Ratings
00 Ratings
Automated Machine Learning
8.05 Ratings
00 Ratings
Single platform for multiple model development
8.05 Ratings
00 Ratings
Self-Service Model Delivery
10.04 Ratings
00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Dataiku is an awesome tool for data scientists. It really makes our lives easier. It is also really good for non technical users to see and follow along with the process. I do think that people can fall into the trap of using it without any knowledge at all because so much is automated, but I dont think that is the fault of Dataiku.
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.
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.
The integrated windows of frontend and backend in web applications make it cumbersome for the developer.
When dealing with multiple data flows, it becomes really confusing, though they have introduced a feature (Zones) to cater to this issue.
Bundling, exporting, and importing projects sometimes create issues related to code environment. If the code environment is not available, at least the schema of the flow we should be able to import should be.
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.
The user experience is very good. Everything feels intuitive and "flows" (sorry excuse the pun) so nicely, and the customization level is also appropriate to the tool. Even as a newer data scientist, it felt easy to use and the explanations/tutorials were very good. The documentation is also at a good level
The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.
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.
Anaconda is mainly used by professional data scientists who have profound knowledge of Python coding, mainly used for building some new algorithm block or some optimization, then the module will be integrated into the Dataiku pipeline/workflow. While Dataiku can be used by even other kinds of users.
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.