Ataccama ONE vs. MLReef

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Ataccama ONE
Score 7.0 out of 10
N/A
Ataccama is a data quality platform handling data parsing, standardization, cleansing and matching, and data profiling.N/A
MLReef
Score 9.1 out of 10
Enterprise companies (1,001+ employees)
MLReef is a Machine Learning development platform that aims to democratize ML innovation across the entire organization. Distributed ML Development: - up to 5X in ML development throughput - up to 85% less dependency on internal data science capacity - Distributed workload on complex data tasks with seamless involvable domain experts - Higher acceptance of deploye models ad development is a joint task Q: What is Distributed ML…N/A
Pricing
Ataccama ONEMLReef
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Ataccama ONEMLReef
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeOptionalOptional
Additional Details——
More Pricing Information
Community Pulse
Ataccama ONEMLReef
Top Pros
Top Cons
Best Alternatives
Ataccama ONEMLReef
Small Businesses

No answers on this topic

Jupyter Notebook
Jupyter Notebook
Score 9.0 out of 10
Medium-sized Companies
Informatica Customer 360 for Salesforce
Informatica Customer 360 for Salesforce
Score 7.4 out of 10
Posit
Posit
Score 9.6 out of 10
Enterprises
Winshuttle
Winshuttle
Score 7.4 out of 10
Posit
Posit
Score 9.6 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Ataccama ONEMLReef
Likelihood to Recommend
7.0
(2 ratings)
9.1
(1 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
Support Rating
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
Ataccama ONEMLReef
Likelihood to Recommend
Ataccama
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.
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MLReef
Works well if you have to involve different roles in different organizations in a project. Less suited when you have a complex system of custom developed tools
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Pros
Ataccama
  • It is one of the leading data quality tools in the industry, in our opinion.
  • Offers free data profiling.
  • Integrates with other tools for complete end-to-end lineage.
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MLReef
  • Helps us to take on more client projects
  • Can be used by data analysts as well as casual users
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Cons
Ataccama
  • Performance in loading
  • Reduction of pop-up messages
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MLReef
  • Out of the box support for major cloud vendors
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Usability
Ataccama
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.
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MLReef
No answers on this topic
Support Rating
Ataccama
Support has been excellent to date - very user friendly and knowledgeable to help support our needs and issues as they arise.
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MLReef
No answers on this topic
Alternatives Considered
Ataccama
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.
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MLReef
No answers on this topic
Return on Investment
Ataccama
  • Less data inconsistencies in the system enable processes to run smoother without interruptions
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MLReef
  • We can handle 4 to 6 times more projects at the same time with our team
  • We stay engaged with our customers well beyond the project duration
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ScreenShots

MLReef Screenshots

Screenshot of ML Pipeline creation - from fully flexible git repositories to addressable, explorable and easy accessible drag-and-drop elementsScreenshot of A knowledgebase for your organization: ML Projects and AI Modules (scripts)Screenshot of Full version control and transparent experiment trackingScreenshot of Repositories to manage your scripts (SCM) and data (pipelines)Screenshot of Manage your team, groups and projects with access rights and granular permissions