Ataccama is a data quality platform handling data parsing, standardization, cleansing and matching, and data profiling.
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Dataiku
Score 8.5 out of 10
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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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Pricing
Ataccama ONE
Dataiku
Editions & Modules
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Offerings
Pricing Offerings
Ataccama ONE
Dataiku
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
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More Pricing Information
Community Pulse
Ataccama ONE
Dataiku
Features
Ataccama ONE
Dataiku
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Ataccama ONE
-
Ratings
Dataiku
8.6
5 Ratings
3% above category average
Connect to Multiple Data Sources
00 Ratings
8.05 Ratings
Extend Existing Data Sources
00 Ratings
10.04 Ratings
Automatic Data Format Detection
00 Ratings
10.05 Ratings
MDM Integration
00 Ratings
6.52 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Ataccama ONE
-
Ratings
Dataiku
10.0
5 Ratings
17% above category average
Visualization
00 Ratings
10.05 Ratings
Interactive Data Analysis
00 Ratings
10.05 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Ataccama ONE
-
Ratings
Dataiku
9.5
5 Ratings
15% above category average
Interactive Data Cleaning and Enrichment
00 Ratings
9.05 Ratings
Data Transformations
00 Ratings
9.05 Ratings
Data Encryption
00 Ratings
10.04 Ratings
Built-in Processors
00 Ratings
10.04 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Ataccama ONE
-
Ratings
Dataiku
8.5
5 Ratings
1% above category average
Multiple Model Development Languages and Tools
00 Ratings
8.05 Ratings
Automated Machine Learning
00 Ratings
8.05 Ratings
Single platform for multiple model development
00 Ratings
8.05 Ratings
Self-Service Model Delivery
00 Ratings
10.04 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Usage for enterprise wide data management and governance across wide range of user group. Ataccama ONE enables achieving higher data quality amongst the data products. It is a powerful platform that supports integration of several checks on different data sets that can be also consolidated in reports later on. Data discovery works quite fast and easy.
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.
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.
One of the key factors in our choice to onboard Ataccama was its usability - general end users have everything at their fingertips, it is not difficult for IT developers to setup the tool, and it has been an overall pleasure.
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.
Ataccama ONE is a designated tool for Data quality monitoring. Supports end to end. Quite easy to deploy. Alteryx is more about coding or almost as complicated while Ataccama ONE is a bit easier to use. Different interfaces. Many views automatically available for data sets in Ataccama ONE. Output is vizualized in the tool. While more data transformation is required in Alteryx.
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.