erwin Data Modeler by Quest is a data modeling tool used to find, visualize, design, deploy and standardize high-quality enterprise data assets. It can discover and document any data from anywhere for consistency, clarity and artifact reuse across large-scale data integration, master data management, metadata management, Big Data, business intelligence and analytics initiatives, accomplishing this whil esupporting data governance and intelligence efforts.
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Liquibase
Score 8.6 out of 10
Enterprise companies (1,001+ employees)
Liquibase is a database change management tool that extends DevOps best practices to the database, helping teams release software faster and safer by bringing the database change process into existing CI/CD automation. According to the 2021 Accelerate State of DevOps Report, elite performers are 3.4 times more likely to incorporate database change management into their process than low performers. Liquibase value proposition: Liquibase speeds up the development…
I have had a chance to use few other data modeling tools from Quest and Oracle, but I am most comfortable using erwin Data Modeler. They understand your data modeling needs and have designed the software to give you a feeling of completeness when you are designing a data model.
Based on my experience so far on using Liquibase in my current project, I have seen that Liquibase changelogs are version control where multiple team members and developers can work together on database and deployed automatically via CI/CD Pipeline integration using github actions and it applies same changelogs to all enviroments to remain in sync and avoid any enviroment drift. Also as Liquibase stores changelog audits in DATABASECHANGELOG table it helps in tracking purposes and to easily rollback any change . Whereas in some scenarios I feel that Liquibase have some drawbacks where if complex transformation between tables is not optimized for bulk data operations which eventually degrades database performance.
Reverse Engineering: I love the way we can import an SQL file containing schema meta data and generate ER diagram out of it. This is specifically useful if you are implementing erwin Data Modeler for an existing database.
Forward Engineering: We use this feature very frequently. Where we do database changes in our physical and logical data models and then generate deployment scripts for the changes made.
Physical vs Logical Models: I like to have my database model split into physical and logical models and at the same time still linked to each other. Any changes you make to logical model or physical model shows up in the other.
Liquibase tracks changes in a metadata table contained directly in the target database, making easy administration for the DBA.
Liquibase handles many validation tests out of the box, making it easy to choose which ones you want to include, with options for writing your own if you choose. This makes it robust and flexible in terms of validation before deployment.
Liquibase provides easy integration into deployment pipelines for CI/CD. We use it with GitHub for source control and Circle CI for validation and deployment pipelines.
I would like Liquibase to explore all errors in the changelog files compared to one at a time. We spent a lot of time troubleshooting one error at a time versus having a batch log of errors in each file.
Understanding where to get support on things. I spent a lot of time researching externally to learn what the best practices were. Although I found some of the youtube videos helpful, I would like a little more of a technical support. This may be a feature with the paid tier, however, we leveraged open source.
Seeing more examples of how others use Liquibase and their usecases will be helpful. That way we can learn from each other which may help us improve on our own deployments.
We are and will continue using Liquibase and it has become an integral part of our portfolio offering, any new product is by default adopting Liquibase stack.
I had a lot of experience using erwin Data Modeler for designing data models. I think it's pretty intuitive and easy to use. It has enough features to represent your database requirements in form of a model.
CA customer support and our account manager have been able to support us with any issues that we have had, from managing our serial keys to issues we logged tickets to resolve. There are aspects of key management that have made it difficult over the years but support usually has worked with us.
Liquibase has been responsive and even is letting our group test some new products they are developing and even made code changes to their production system because of a couple bugs we have reported. Liquibase licensing has also been easy and simple. I have nothing bad to say about any of the Liquibase staff I have talked to. They also hold free information webinars for new content that helps spread adoption and moving the product forward.
Not listed, but I've only used alternatives built into something like the Squirrel SQL editor. That one is semi-functional but lacking many features and, in some instances, just plain wrong. The only pro there is that it's freely available and works over ODBC. I've tried some of the other free ones like Creately but didn't have much success.
There is no real competitor when it comes to what Liquibase does - at least not at the time we considered it three years ago. It was an easy choice in this regard, but we could have said no to it if it made our workload more difficult. But our proof of concept showed there were easy wins to be had by implementing its software.
