1010data vs. Ataccama ONE

The software is excellent for any application which is too large for Excel. The visual interface surpasses that of most SQL platforms. It is quite useful for data mining in an exploratory way but less useful in statistical and regression analysis.

Incentivized

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.

Incentivized

• To "pool" their data for market analysis
• Very large data analysis
• Performance and scalability

Incentivized

• 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.

• The ten.do interface could use more detailed documentation

Incentivized

• Performance in loading
• Reduction of pop-up messages

Incentivized

That's votes by our team.

Incentivized

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.

Support has been excellent to date - very user friendly and knowledgeable to help support our needs and issues as they arise.

While we have used SQL, 1010data is really the only industry standard product available for our use.

Incentivized

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.

Incentivized

• Positive impact on help business make a data-drive decision
• Positive impact on big data analysis
• Negative impact on user friendly

Incentivized

• Less data inconsistencies in the system enable processes to run smoother without interruptions

Incentivized