Delphix, from Perforce, provides test data management for DevOps. The Delphix DevOps Data Platform automates data security, while rapidly deploying test data to accelerate application releases.
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IBM StreamSets
Score 8.0 out of 10
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IBM® StreamSets enables users to create and manage smart streaming data pipelines through a graphical interface, facilitating data integration across hybrid and multicloud environments. IBM StreamSets can support millions of data pipelines for analytics, applications and hybrid integration.
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Mage
Score 8.6 out of 10
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Mage is a tool that helps product developers use AI and their data to make predictions. Use cases might be predictions for churn prevention, product recommendations, customer lifetime value and forecasting sales.
REST API calls are available for all Delphix activities. Delphix makes it simple to move data between production to other test or QA environments. Through the replacement with a dummy, yet realistic data of the customer or patient data, you reduce the danger of data breaches for any and all copies of data you produce.
IBM StreamSets excels in real-time logistics data ingestion and transformation across hybrid systems. It’s less ideal for lightweight ETL tasks or static datasets where simpler tools can achieve similar results with less overhead and complexity.
Mage is well-suited for probability score for uptake of every product is calculated for customers using ML/ Regression models, choosing customers for a product/ Top products for a customer, based on the requirement and Identifying popular product combinations using association rules from Market Basket Analysis (or affinity Analysis)\Bundle these products as combos.
Fast refresh of production data to non-production environments.
Easy to automate tasks in Delphix (Bookmark, Rewind, Refresh, etc.) and build pipelines in tools like Jenkins. Enables CI/CD push button build of new virtual database and also the ability to automate regression testing scenarios as well as provide a simple way to expose self-service to developers & testers.
The staff at Delphix are knowledgeable and take a genuine interest in helping their customers succeed. The support organization is among the best I've seen.
Delphix is good at notifying customers of bugs & features striking a good balance on sending the right amount and type of communication.
Delphix is always improving the product and fixing any bugs quickly and transparently.
Delphix Data Masking product works as described and allows for multiple streams of masking concurrently to complete masking faster.
Delphix is a hefty solution for virtualization, but it is not strong enough for the creation of data, so we have to use another platform when it comes to creating new data.
Moreover, Delphix web pages do not support AD security groups which eventually results in hassle if you have a large number of users to create and maintain passwords.
The StreamSets platform is very easy to use and the interface is extremely intuitive. The drag-and-drop, low-code design makes it accessible for teams with varying technical skills, allowing us to quickly connect sources, define transformations, and deploy pipelines without heavy coding. StreamSets allows us to get started quickly and not have to worry about our pipelines breaking once they're built.
Delphix support could be a little better. It seems sometimes we bounce through support engineers until we get one that understands our issues and know how to fix it.
The other competitors in the market are Solix and Data Global and SAP. The pricing and the UI are much simpler and easy to put Delphix in the top spot.
First advantage is that this software is particularly new and it keeps updating according to the needs of the user. Other advantage is the it organises and produces conclusions on the basis of data without leaving any relevant information. Other softwares lack in data summarising and readability of the charts and sheets they produce.
Mage was the easiest in terms of ease of implementation due to its no-code functionality. However, Mage doesn't have a whole ecosystem like AWS and slightly falls behind there.