We performed a comparison between erwin Data Modeler by Quest and MEGA HOPEX based on real PeerSpot user reviews.
Find out in this report how the two Enterprise Architecture Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."We can create mappings in erwin and possibly data dictionaries."
"The most valuable features are the ability to reverse engineer and do model comparison. With the reverse engineering, I can understand the databases from third-party products. With the model comparison, I can track the differences between two versions of the same database."
"The generation of DDL saved us having to write the steps by hand. You still had to go in and make some minor modifications to make it deployable to the database system. However, for the data lineage, it is very valuable for tracing our use of data, especially personal confidential data through different systems."
"What has been useful, I have been able to reverse engineer our existing data models to document explicitly referential integrity relationships, primary/foreign keys in the model, and create ERDs that are subject area-based which our clients can use when working with our databases. The reality is that our databases are not explicitly documented in the DDL with primary/foreign key relationships. You can't look at the DDL and explicitly understand the primary/foreign key relationships that exist between our tables, so the referential integrity is not easily understood. erwin has allowed me to explicitly document that and create ERDs. This has made it easier for our clients to consume our databases for their own purposes."
"I have worked with erwin Data Modeler for quite some time and familiarity is its most valuable feature."
"Any tool will do diagramming but I think the ability to put the stuff up in a graphical fashion, then think about it, and keep things consistent is what's valuable about it. It's too easy when you're using other methods to not have naming consistent standards and column consistent definitions, et cetera."
"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’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."
"The support experience in Latin America is great."
"The most valuable parts of this solution are the richness of its features and its easy interface."
"You do not need to be a professional of enterprise modeling to contribute to the enrichment and improvement of the enterprise repository."
"We use the portfolio management feature heavily."
"It is very interactive."
"HOPEX has a panel that offers various views. I think that is very good. MEGA has an app for integrating with a lot of apps. We help our clients integrate HOPEX with a different product like Apple Gateway, for example. I've been with the company for 15 years, and we connect with everything. Our clientele includes almost all of the banks in Mexico."
"The solution itself was easy to use."
"The solution is scalable. If a company needs to expand it, it's completely possible to do so."
"I am not so happy with its speed. Sometimes, it can have problems with connections."
"I would like to see the ability to support more NoSQL platforms more quickly. In addition, enhancing the graphics to render more quickly would be beneficial for any user."
"I would like to see more support for working with the big-data world. There are so many new databases evolving and it's very hard for them to keep up with all of the new technologies. It would be good if they were able to dynamically support big-data platforms, other than Hive and Teradata."
"The solution's model mark could be better because it crashes sometimes."
"The modeling product itself is far and above anything else that I've seen on the market. There are certain inconsistencies when it comes to keeping up with other platforms' databases in the reverse-engineering process. It should also support more database platforms."
"Complete Compare is set up only to compare properties that are of interest to us, but some of the differences cannot be brought over from one version of the model to another. This is despite the fact that we are clicking to bring objects from one place to another. Therefore, it's hard to tell at times if Complete Compare is working as intended without having to manually go into the details and check everything. If it could be redesigned to a degree where it is easier to use when we bring things over from one site to another and be sure that it's been done correctly, that would be nice to have. We would probably use the tool more often if the Complete Compare were easier to use."
"The erwin Data Modeler is quite complex to use."
"I would like the solution to be less rigid in terms of its theory."
"Lacking more out of the box integrations."
"Better documentation and training would be helpful."
"It has a data domain where we load our data objects onto the tool but doesn't provide data governance capabilities such as cleansing or validating data."
"It takes a long time to learn how to use HOPEX. It's hard to work with it because the user interface is bad. For example, if you want to build a complex system diagram, you need a lot of knowledge to do this correctly and make it readable. In MEGA, you need to create a report and it takes a long time to publish it. The publishing is offline. With RDoC, everything is online."
"We have a very close relationship with MEGA representatives in Mexico, and we ask them why they don't offer impact analysis. For example, we have a server in the center and provide the client a view of what's in the peripheral area, like one cluster, application, process area, and services. We want to offer our clients that level of visibility with HOPEX."
"The tool's UI should be more user-friendly."
"An area for improvement in MEGA HOPEX is its vast learning curve. The tool is also heavy, so that's a pain point. MEGA HOPEX is also tricky to use if you don't train for many hours."
"Standardization is lacking. The Operational Risk Function will be more effective if it at a default level follows established Basel standards for Loss categorization, Risk Assessments, Risk Event categorization, etc."
erwin Data Modeler by Quest is ranked 3rd in Enterprise Architecture Management with 37 reviews while MEGA HOPEX is ranked 4th in Enterprise Architecture Management with 36 reviews. erwin Data Modeler by Quest is rated 8.6, while MEGA HOPEX is rated 7.8. 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". On the other hand, the top reviewer of MEGA HOPEX writes "Easy to use and robust with good features". erwin Data Modeler by Quest is most compared with SAP PowerDesigner, IDERA ER/Studio, Visio, Lucidchart and erwin Evolve by Quest, whereas MEGA HOPEX is most compared with Sparx Systems Enterprise Architect, LeanIX, ARIS BPA, Visio and Lucidchart. See our MEGA HOPEX vs. erwin Data Modeler by Quest report.
See our list of best Enterprise Architecture Management vendors and best Business Process Design vendors.
We monitor all Enterprise Architecture Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.