We performed a comparison between Camunda and erwin Data Modeler by Quest based on real PeerSpot user reviews.
Find out in this report how the two Business Process Design solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.", Camunda can be a powerful tool to work with when used in an optimized and well-implemented manner."
"The solution is good for data models."
"Having knowledge of the BPM and monitoring process has proven to be very beneficial, as I am currently engaged in documenting processes for Clientele."
"The interface and the number of connectors that they provide are the most valuable features. The support here, it's kind of okay. But the main thing is with the number of connectors and the UI, the user interface."
"It has been a stable solution so far since it meets our needs, including data modeling, which we need to do before we embark on analyzing and optimizing the business processes."
"Camunda Platform has a very good interface for workflow and business process design."
"The speed and execution of DMN was a big selling point for us. It's very good at conducting business processes that are easily modeled and presented in a way that's easy to understand."
"The modeler is useful for creating the flow. The way to access the data through their REST API is also valuable. This is what we're using right now."
"The logical model gives developers, as well as the data modelers, an understanding of exactly how each object interacts with the others, whether a one-to-many, many-to-many, many-to-one, etc."
"The solution’s code generation ensures accurate engineering of data sources, as there is no development time. Code doesn't even have to be reviewed. We have been using this solution for so long and all the code which has been generated is accurate with the requirements. Once we generate the DDLs out of the erwin tools, the development team does a quick review of the script line by line. They will just be running the script on the database and looking into other requirements, such as the index. So, there is less effort from development side to create tables or build a database."
"We use the Forward and Reverse Engineering tools to help us speed things up and create things that would have to be done otherwise by hand. E.g., getting a database into a data model format or vice versa."
"The modeling portion of the tool is the most valuable. There are some notes, naming standards, and other functions that we use as well. There's a whole boatload of functionality in this thing and we use maybe 10% of it. It seems to be pretty common that not all the functionality is fully utilized. But it's just got gobs and gobs of stuff that you can implement if you so choose to."
"The solution is excellent in providing a visual representation of a database and can generate DDL for implementing changes. We use DDL for logical purposes to review with business people, ensuring they have the required fields for processing. We also use it as a data dictionary for the physical data model to understand all the purposes of the terms. This helps us map the logical and physical terms with the business definition to understand our data."
"The visual data models for helping to overcome data source complexity and enabling understanding and collaboration around maintenance and usage are excellent. A picture speaks 1,000 words. Seeing a picture that shows you how the data relates to each other helps you better understand what the data is and how to use it. Pairing that information with a dictionary, which has the definitions of the tables and columns or the entities and attributes, ensures that the users understand what the data is so that they can use it best and most successfully."
"Being able to point it to a database and then pull the metadata is a valuable feature. Another valuable feature is being able to rearrange the model so that we can display it to users. We are able to divide the information into subject areas, and we can divide the data landscape into smaller chunks, which makes it easier to understand. If you had 14 subject areas, 1,000 entities, and 6,000 columns, you can't quite understand it all at once. So, being able to have the same underlying model but only display portions of it at a time is extremely useful."
"They have a lot of features and the most up-to-date technology integration, which I haven't seen in other products."
"The initial setup can be complex for business users."
"The support definitely can be improved. Apart from that, the language should be extendable to other platforms. If I want to write, I'll run a different platform, like Python code on top of it, or COBOL code on top of it, and it should support those languages."
"Especially when you use the open-source version, there are issues with performance."
"I think that Camunda can try to do better when it comes to solving the complexities of all the products in its software stack."
"We have faced problems with the performance."
"When trying to design rule tables the solutions graphical user interface could improve, it could be more user friendly."
"Customization and tech stack could be up-to-date."
"If there were some industry templates it would have helped significantly, because it is similar to a process map for a domain. That is what we are currently creating, a domain-relevant process map."
"Although Quest Software has made tremendous strides in recent years, they need to evolve more in the big data arena; erwin Data Modeler could use a little more work when it comes to big database designs."
"I am not so happy with its speed. Sometimes, it can have problems with connections."
"We can only get licenses through partners."
"In terms of new features, it would be great to have a cloud base. We should be able to put it on the cloud for better collaboration and data models sharing."
"We are planning to move, in 2021, into their server version, where multiple data modelers can work at the same time and share their models. It has become a pain point to merge the models from individual desktops and get them into a single data model, when multiple data modelers are working on a particular project. It becomes a nightmare for the senior data modeler to bring them together, especially when it comes to recreating them when you want to merge them."
"There is a lack of local support in the China region."
"It would be nice to have it on the Linux platform, not just Windows. If they can support Linux, there would be a huge market for it."
"The Bulk Editor needs improvement. If you had something that was a local model to your local machine, you could connect to the API, then it would write directly into the repository. However, when you have something that is on the centralized server, that functionality did not work. Then, you had to export out to a CSV and upload up to the repository. It would have been nice to be able to do the direct API without having that whole download and upload thing. Maybe I didn't figure it out, but I'm pretty sure that didn't work when it was a model that sat on a centralized repository."
Camunda is ranked 2nd in Business Process Design with 69 reviews while erwin Data Modeler by Quest is ranked 9th in Business Process Design with 37 reviews. Camunda is rated 8.2, while erwin Data Modeler by Quest is rated 8.6. The top reviewer of Camunda writes "Open-source, easy to define new processes, and easy to transition to new business process definitions". On the other hand, the top reviewer of erwin Data Modeler by Quest writes "The product lets users import different types of models, but it is expensive, and the interface must be improved". Camunda is most compared with Apache Airflow, Bizagi, Pega BPM, IBM BPM and Appian, whereas erwin Data Modeler by Quest is most compared with SAP PowerDesigner, IDERA ER/Studio, Visio, Lucidchart and Sparx Systems Enterprise Architect. See our Camunda vs. erwin Data Modeler by Quest report.
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