Ataccama ONE Platform Reviews

We primarily use it for data-related tasks, focusing on assessing and enhancing the quality and integrity of our data. Our typical dataset size falls within the range of one to five gigabytes. We employ the platform for tasks such as data mapping and data transformation.

One of the most significant advantages is the ease of creating tables and hierarchies. Unlike SQL, where you need to write complex statements, in Ataccama ONE, you can simply copy and paste data from your documents and quickly generate tables with minimal effort. I found it to be highly deployable, making it a user-friendly choice for our project.

The drag-and-drop feature is incredibly flexible and straightforward. Even for someone entirely new to the tool, it's remarkably easy to grasp. It comes with documentation, which is beneficial.

It is not very versatile when it comes to integrating with Unix and other applications. I believe it would be beneficial if it could enhance its flexibility to connect with a wider range of downstream systems beyond just Excel and Postgres. I would also recommend enhancing the documentation with more comprehensive information that covers the latest features and developments.

I have been working with it for three years.

It is quite stable, with no significant issues or frequent changes.

It would be beneficial to see it evolve towards cloud-based scalability, where it can efficiently handle larger volumes of data, possibly exceeding a terabyte. Currently it is optimized for managing relatively small datasets.

The experience with their support team has been satisfactory. Whenever we reached out to them with inquiries or issues, they were quite responsive. We would submit tickets in the support system, and typically, by the end of the day, we received their prompt responses, which was impressive in terms of turnaround time. I would rate it nine out of ten.

Our deployment approach was relatively straightforward. We created two files and placed them in a designated path, and that constituted the deployment process. It was a simplified and flexible process, especially when compared to other modules and their deployment procedures. If there is a single code change, it can be completed within a few hours. However, when multiple code changes are involved, it can take one to two days, depending on the complexity of the changes and the need to coordinate with other teams.

We evaluated Informatica and Ab Initio.

I would like to emphasize that Ataccama ONE is an excellent tool, especially for those who are new to data management and may not be proficient in coding or SQL. It offers an easy-to-use platform with extensive documentation. It serves as a great starting point for understanding data architecture in a simplified manner. I would rate it nine out of ten.

On-premises

We are using the product for data quality. We can connect it with data sources, such as Microsoft SQL, Oracle, Teradata, and local systems, including shared drives, to check data quality and profiling. We can also use it to write rule logic as well.

The product’s important feature is data profiling and quality check. To get data quality, we need to collect all data. We have data everywhere, and their initial goal in modern times is to get data quality. We normally ingest all the metadata from the data into Collibra. We need to manually download the report from Collibra and load it into Ataccama. We are reducing these manual steps using the integrators and putting Ataccama and Collibra together. Ataccama can also perform the EDR.

It is complicated to fetch 20-25 reports when we profile the data. We have to raise a ticket to Ataccama's team.

I have been using the Ataccama ONE Platform for two years. We are a customer of Ataccama.

The product is stable. I rate its stability an eight out of ten.

Ataccama has different documents on their side. I rate the product’s scalability an eight out of ten.

Our IT security team manages technical issues.

The initial setup is simple. We are better equipped to handle that connection type when we connect very different data tools.

We worked with stakeholders to clean and profile the data so they could easily analyze it. We have some unrestricted data formats, such as XML or JSON. To redeliver this data, we need to create a plan. It is similar to the previous process, but we cannot perform data quality checks on this type of data. We need to create the data in XML Insight to use data quality checks. There are many functions inside the Ataccama, such as fixing grid files. We can read dispute finance data in the web app and generate reports. Currently, we need to create the component or dispute. Then, the data comes into the room in a stable format, and we can easily upload it to change the data quality.

Overall, I rate the product an eight out of ten.

We use Ataccama DQ Analyzer to analyze data migration from one source to another. We use it to clean up the data.

I like that there is no need to buy a license. You can just download it and use it free.

It is also easy to deploy.

They could focus more on marketing the product. The current marketing strategy is not working. For example, when I reached out to Ataccama and asked if they wanted to participate in our sourcing event, their response was that they do not do that.

We've been using it for about three months.

It's a really stable solution.

It is scalable. I have used it for master data and also for another one that was larger.

It is easy to deploy.

There is no need to buy a license. You can just download it and use it for free.

The software itself is quite good and met all my requirements. However, I would rate it at seven on a scale from one to ten.

On-premises

DQA is a data profiler.

My organization's requirement was to build a centralized, quality data repository by accumulating client data from various source systems. This tool helped in understanding the quality of the data available in each system. By understanding the existing data from various source systems, we were able to arrive at the requirements for a data quality plan, and create a separate plan to improve the data quality.

The data profile itself is excellent. You can understand the quality of the data in layman's terms.

Although DQA can fetch data from most of the commonly used data sources, it has limited modifiers to get data, meaning that the number of technologies from which the data can be acquired is limited. For example, DQA does not support fetching data from Twitter or Facebook. Many competitors have this feature.

One to three years.

DQA is similar to Ataccama ONE. One difference is that DQA is an IDE-based data profiler. The IDE is built on Eclipse. All you have to do is import the data and set up the metadata of that data, write the data and select profile. This gives you the complete profile of the data, detailing the data quality and consistency.

I would rate it an eight out of 10. It has most of the necessary features needed, and almost all features available in a competitor's product. However, there is scope for improvement.

Easy to configure, fun and easy to use.

I was able to ascertain that elements of information was or was not of value to the migration process. Thus savings money in the migration project.

It is a free product. I would like to be able to control the batch size i.e. number of records it processes at a time when it generates its report. The non-free version has much more capabilities and I did not have the occasion to try it.

Since 2009

Nope. Very easy and straight forward.

It is very stable.

It is very fast but could be faster if it had the possibility to change the batch size. See my room for improvement comments above.

Customer Service: Not rated because we never have been a registered user.Technical Support: Ataccama has a user forum where personal from Ataccama answered very quickly for the few questions we asked.

No. But I did try Talend DQ Profiler and it sucks compared to DQ Analyzer.

Very easy setup.

In-house.

Yes. But this solution was cost effective (free) for what we needed to do.

Ataccama has videos to help you get started. Its product is easy to explore without fear of breaking anything.

Profiling and cleansing

I was running a project for a client, they had a large database for 20+ years. I needed Ataccama DQ Analyzer to find missing data, wrong pattern data, miss placing data, typos, and so on.

I remember one disadvantage, I couldn't load large database to Ataccama DQ Analyzer. One time I had one single database close to 180G which was not able to load to Ataccama DQ Analyzer, and had to use another solution.

I used Ataccama DQ Analyzer for 2 years.

No

No

No

Straightforward. Very easy to follow.

Free

No, Ataccama DQ Analyzer was the first one I tried.

For small databases, it is fast and convenient.