DATPROF Reviews

Name: DATPROF
Brand: DATPROF
Rating: 4.3 (8 reviews)

4.3 out of 5

8 reviews
100% willing to recommend

What is DATPROF?

DATPROF primarily offers capabilities for subsetting test data, masking sensitive information to comply with GDPR, and generating synthetic data for testing environments.

Get the DATPROF Buyer's Guide and find out what your peers are saying about DATPROF, Informatica Intelligent Data Management Cloud (IDMC), Delphix and more!

DATPROF is the #2 ranked solution in top AI Synthetic Data solutions, #4 ranked solution in top Data Masking solutions, and #5 ranked solution in top Test Data Management solutions. PeerSpot users give DATPROF an average rating of 8.6 out of 10. Based on the analysis of the 8 most recent DATPROF reviews, the overall sentiment is positive, with a sentiment score of 7.7. (Among the highest in the category). DATPROF is most commonly compared to Informatica Intelligent Data Management Cloud (IDMC): DATPROF vs Informatica Intelligent Data Management Cloud (IDMC). DATPROF is popular among the large enterprise segment, accounting for 60% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 21% of all views.

Helped 824,067 peers since 2012

Featured reviews

Romil Kapadia

Product Owner at ABN AMRO Bank N.V.

We had a Broadcom solution. We had an exit strategy for all the tools of this provider. The contracts were supposed to end. DATPROF is more open with respect to outside environments. Of course, it's not open-source technology, but there are provisions to do so, whereas, with earlier tools, that wasn't the case. Another good part of DATPROF is that because they have already been in the market and working with customers for a long time, they know the ins and outs of how the market in the Netherlands works. That was visible when we were performing use cases where the generation of test data was required. Everything that we could possibly think of is already covered by the tool. The inclusiveness or the wholesomeness of the tool is very good. DATPROF's UI is many years ahead of earlier tools. Broadcom's customer support was not up to our requirements. With DATPROF, even though we are just in the sales phase, I already see tremendous improvement. With the earlier tool, they were not able to provide the solutions that we wanted, whereas with DATPROF, Gerard, and Michael are just a call away, and they are willing to extend themselves to provide us with the right support.

Read full review

Prakash Palani

Platform Architect - SAP at a manufacturing company with 10,001+ employees

The most valuable feature is that it's easy to use. We were using it for Microsoft Dynamics Navision and at a later point in time we had to use it for JD Edwards but we didn't have to go to any other solution. We were able to quickly port a JD Edwards application into the DATPROF solution and we were able to scramble the data in that application. It's a single tool that helps us to do that across applications. And the masking templates are reusable. Microsoft Dynamics Navision has been implemented in at least 19 different operating companies, within our company. It goes into each of the tenants and then it runs it. Without this feature, we would be spending quite a lot of time customizing it individually at each location. The first time you set it up, it takes a lot of time. But if we have one template that can be reused, it becomes fairly simple for us to quickly adapt it. As we speak, we are doing a scrambling setup for one of our large applications. It doesn't take much time. Once you configure it, it becomes a routine. You just press the button and it takes care of it. There is an integration with a product called EPI-USE Labs Data Secure. To integrate these two, we have another product called Symphony, which orchestrates the data masking between SAP and non-SAP applications. SAP masks the data and then Symphony picks it up. Symphony triggers the masking in EPI-USE Labs Data Secure and it takes the masked data reference and passes it onto DATPROF. DATPROF picks up the baton and runs the scrambling using the same ruleset. I have not seen any other solution that makes it easier for scrambling between SAP and non-SAP applications. This is definitely important. Our testers would go crazy if the data in our SAP application and our non-SAP applications looked different.

Read full review

Manoranjan Mishra

Product Owner at Heineken

The data scrambling, the masking, is the most valuable feature. That is how we protect our personal and sensitive information. That is very important for Heineken, given that we work in global scenarios with a lot of personal information and business-sensitive information. This feature is particularly helpful. It is a very intelligent solution when it comes to identifying the dependencies and connections and it is easily scalable. It allows a type of self-service where we are not dependent on the supplier to do the work. Our team members can do things themselves. It is also extremely important that DATPROF's masking for non-SAP databases also integrates with SAP TDM, out-of-the-box. We have operations in more than 100 countries and a majority of those operations use SAP applications. But some of our very important regions, such as the Americas and Asia-Pacific, are using Microsoft Dynamics NAV and Oracle as their core ERPs. That means we have some customers who are in both SAP and non-SAP. When we do scrambling for different applications, it is extremely important that DATPROF and the SAP applications talk to each other and synchronize. Otherwise, for example, if the name Mano is changed to Frank in an SAP system, but the same Mano is changed to Albert in a non-SAP system, that means Mano has two names in two different systems. That means that identity is lost, from a name perspective. It is also quite efficient, as we are doing data refreshes regularly.

Read full review

DATPROF mindshare

Product category:

As of December 2024, the mindshare of DATPROF in the Test Data Management category stands at 5.2%, down from 5.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Test Data Management

PeerAnalyst reports

Type	Title	Date
Category	Test Data Management	Dec 22, 2024	Download
Product	Reviews, tips, and advice from real users	Dec 22, 2024	Download
Comparison	DATPROF vs Delphix	Dec 22, 2024	Download
Comparison	DATPROF vs Broadcom Test Data Manager	Dec 22, 2024	Download
Comparison	DATPROF vs Informatica Intelligent Data Management Cloud (IDMC)	Dec 22, 2024	Download

Title	Rating	Mindshare	Recommending
Informatica Intelligent Data Management Cloud (IDMC)	4.0	N/A	93%	181 interviews Add to research
Delphix	4.0	29.8%	81%	16 interviews Add to research

Valuable Features

DatProf's most valuable features include subsetting, intelligent data modeling, anonymization, and reusable templates. Users appreciate its intuitive interface, ability to generate synthetic test data, and efficient masking functionality across various databases, including SAP and non-SAP systems. Integration capabilities, data scrambling, and minimal training requirements are also highly valued. The tool supports API-first strategies, seamless SAP synchronization, and scalable self-service operations, providing comprehensive support for data privacy and management.

"Its ease of use is valuable. It's pretty straightforward. With minimal training or with minimal guidance, it can be used."
"We can create synthetic test data for our different development teams without needing production data, which is an excellent capability."
"The most valuable feature is that it's easy to use... We were able to quickly port a JD Edwards application into the DATPROF solution and we were able to scramble the data in that application. It's a single tool that helps us to do that across applications."

Room for Improvement

DATPROF could benefit from adding orchestration capabilities like ServiceNow/Runbook. Users suggest improving the user interface for easier handling of flat files and better integration of discovery functions. Enhancing DevOps and CICD compatibility through more flexible data model options would simplify implementation. Expanding APIs and masking flat files/XML data would also help. Greater reusability of template implementations is needed. Increasing data format support and strategic alliances with mainframe companies like IBM and HP would be beneficial.

"From what I know, there are some challenges with respect to the number of data formats that can be made available. This is something that can be improved."
"The synthetic data-generating element of the tool is relatively new, so we sometimes encounter bugs, though when we inform DATPROF, they act quickly to fix any issues. Of course, the fewer bugs we face, the better."
"They could improve the solution by expanding the APIs. If there were options to integrate it with other solutions, that would help."

ROI

Users indicated that DATPROF significantly shortened data processing times and minimized overhead expenses. Many noticed enhanced data quality, aiding better decision-making and operational efficiencies. There was high appreciation for its user-friendly interface, which facilitated smoother integration and reduced training costs. The cost savings from reduced manual efforts and data-related issues notably surpassed the initial investment, reflecting substantial value. Users highlighted measurable improvements in data management practices thanks to DATPROF.

Pricing

DATPROF pricing is seen as competitive and reasonable compared to its competitors. Users recommend starting with a pilot and consulting with experienced professionals for the best results. Licensing, while fair, could be more flexible to avoid additional discussions for extra users. Overall, enterprise users find DATPROF provides substantial value and features for its cost, ensuring they do not feel they are overspending.

"It's very competitive. There is a good price-to-feature relation. It doesn't give us the feeling that we are overspending on something. It provides the right value at the right price. It's worth it."
"I'm not part of the financial team, but as far as I understand, the price is very reasonable compared to the competitors."

Popular Use Cases

DATPROF is primarily used for subsetting test data, masking sensitive information, and generating synthetic data. Organizations utilize it to comply with GDPR, reduce storage costs, and protect personal data during testing. It supports various databases like Oracle, SQLServer, MySQL, and Postgres. Many teams use DATPROF to create manageable test environments, enhance data security, and integrate within CI/CD pipelines. The tool is valued for shrinking databases and enabling swift test database refreshes.

Service and Support

Customer service and support of DATPROF are praised for being fast, reliable, and friendly. Clients appreciate the regular updates and implementation of their requests. They find the support timely and well-coordinated, with flexible engagement models and minimal delays. Users also value long-term relationships with consultants and the company's willingness to build strong foundations for partnerships. DATPROF's responsiveness and efficiency are key factors for client satisfaction.

Deployment

Users find DATPROF's initial setup varies from complex to straightforward, depending on database knowledge and organizational preparedness. In smaller setups, installation was quick and easy, often completed within days. Larger deployments, involving many operating companies, took longer due to their scale. Configuration was generally smooth when proper access and stakeholder decisions were in place. Some mentioned minimal maintenance needs and efficient support from DATPROF consultants, making ongoing management simpler.

Scalability

DATPROF is considered highly scalable by users. It supports diverse platforms like Oracle, Microsoft Dynamics NAV, Mendix, TIBCO, and JD Edwards. Users plan to expand its usage significantly, covering numerous countries and potentially serving up to 800 users. Its offerings accommodate various technology stacks and database requirements within organizations.

Stability

Users find DATPROF to be stable, especially in data masking, though some think its data synthesis could improve. They appreciate its reliability and lack of outages or major issues. Running multiple jobs concurrently poses no problems. Stable usage involves making copies of databases to avoid changes and deadlocks. Stability is consistent, though some have limited experience and cannot give a complete assessment, but they still find it decently stable.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our DATPROF Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

14%

Insurance Company

Healthcare Company

Manufacturing Company

Real Estate/Law Firm

Media Company

Government

Educational Organization

Energy/Utilities Company

Transportation Company

Comms Service Provider

Retailer

Construction Company

Outsourcing Company

Wholesaler/Distributor

University

Hospitality Company

Recreational Facilities/Services Company

Logistics Company

Non Profit

Performing Arts

Printing Company

Program Development Consultancy

Marketing Services Firm

Compare DATPROF with alternative products

Learn more about DATPROF

DATPROF enables companies to reduce storage costs, anonymize data, and seamlessly integrate within CI/CD pipelines. It supports databases such as Oracle, SQLServer, MySQL, Postgres, and IBM DB2 LUW, ensuring the protection of sensitive business information while creating test databases. The tool also provides intelligent software features, easy-to-maintain templates, and user-friendly interfaces, which make tasks like creating synthetic test data and masking sensitive information efficient. Integration with both SAP and non-SAP applications is smooth, with reusable masking templates, customizable scripts, and efficient database modeling.

What are the key features?

Data Subsetting: Reduces storage costs by creating smaller, relevant datasets.
Sensitive Data Masking: Complies with GDPR by anonymizing sensitive information.
Synthetic Data Generation: Produces realistic test data for accurate testing.
Intelligent Software: Simplifies data management and testing processes.
Reusable Masking Templates: Templates can be reused across different projects for efficiency.
SAP and Non-SAP Integration: Ensures seamless integration with multiple application environments.
Customizable Scripts: Allows flexibility in meeting specific data management requirements.
Efficient Database Modeling: Facilitates effective management of large-scale data refreshes and system coordination.

What benefits and ROI should be evaluated?

Reduced Storage Costs: Efficient data subsetting saves on storage expenses.
Compliance: Ensure adherence to GDPR by masking sensitive data.
Smooth CI/CD Integration: Enhanced test environments within continuous integration and delivery pipelines.
High Data Quality: EPI-USE Labs Data Secure integration ensures robust testing management.
Resource Optimization: Efficiently manages databases and reduces manual efforts.

In specific industries, DATPROF solutions are implemented to enhance data handling capabilities. Financial institutions use these tools to anonymize customer data while maintaining realistic test environments, which is crucial for developing and testing new applications. Healthcare providers leverage DATPROF for complying with regulatory requirements like GDPR, ensuring patient data privacy during system upgrades and migrations. Retail companies rely on DATPROF to reduce storage costs and generate synthetic data that accurately reflects seasonal trends and customer behavior for better forecasting and inventory management. Government agencies find value in the tool’s ability to mask sensitive information, aiding in secure data sharing across departments for collaborative projects.

DATPROF was previously known as DATPROF Privacy, DATPROF Test Data Management.