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.
External reviews
External reviews are not included in the AWS star rating for the product.
User-friendly and stable data management ensuring data quality and maintaining data governance standards
What is our primary use case?
How has it helped my organization?
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.
What is most valuable?
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.
What needs improvement?
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.
For how long have I used the solution?
I have been working with it for three years.
What do I think about the stability of the solution?
It is quite stable, with no significant issues or frequent changes.
What do I think about the scalability of the solution?
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.
How are customer service and support?
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.
How would you rate customer service and support?
Positive
What about the implementation team?
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.
Which other solutions did I evaluate?
We evaluated Informatica and Ab Initio.
What other advice do I have?
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.
Has an efficient data profiling feature and a simple setup process
What is our primary use case?
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.
What is most valuable?
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.
What needs improvement?
It is complicated to fetch 20-25 reports when we profile the data. We have to raise a ticket to Ataccama's team.
For how long have I used the solution?
I have been using the Ataccama ONE Platform for two years. We are a customer of Ataccama.
What do I think about the stability of the solution?
The product is stable. I rate its stability an eight out of ten.
What do I think about the scalability of the solution?
Ataccama has different documents on their side. I rate the product’s scalability an eight out of ten.
How are customer service and support?
Our IT security team manages technical issues.
How was the initial setup?
The initial setup is simple. We are better equipped to handle that connection type when we connect very different data tools.
What other advice do I have?
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.
Ataccama - Automated data quality with MDM Management
Ataccama also supports for MDM Management
We can also integrate Metadata Management for our projects and services
It would be nice if it come with a user hotkey function out of the box
Having concurrent user usage licenses would be ideal
This tool helps us in handling Metadata Management
It helps us more way in data profiling
Excellent Platform for your data analytical needs
One of the first wholesome DQ solution, but needs improvement
Minimum coding required
Integrated Data Catalog with DQ
DQ remediation
A very complex tool for beginners. Have used new tools in market which are pretty easier like DvSum
Initial integration took lot of time and back and forth discussions
Building Data products has never been easier.
Reference Data Management
Flexible IaaS options.
GUI is simple enough to allow experts in the Business to maintain datasets themselves.
Great for simple datasets which need to be conveyed to other systems with minimal transformation.
It requires someone who can understand both how to code as well as how to deal with issues that can occur when the dataset is not very small, such as contention when updating downstream systems.
Ataccama review
Excellent Large Volume of Data Manipulation Package.
2. Easy to connect with various data sources.
3. Data analytical functions are stable.
4. Easy to migrate big files.
5. Data easy collaboration.
6. The effective real time reporting system.
2. Easy distribution of multiple data reports.
3. Excellent communication and team management is excellent.
4. Data mining and data warehousing solution.