Likelihood to Recommend 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.
Read full review Does great at open canvas editing and letting you fully customize without the need for a grid. It is democratizing self-service no-code analytics. You do not need to be a data or analytics engineer to get started, and you can go very far based on how intuitive and straightforward the UI is. Some of the biggest challenges with
Looker Studio relate to user management/security, embedding options, and issue support. For a long time, every user needed to have a Gmail to invite them to view a dashboard via login, not sure if that has been improved yet. You can let any user view without logging in, but that is not always recommended due to security reasons. In terms of embedding, you can only iframe dashboards. More sophisticated BI tools let you embed elements via API or Javascript. Iframing dashboards also make drill downs and dashboard to dashboard navigation tricky/near impossible. There is also no ability to contact Google for support when bugs or outages happen. They point everyone to the Data Studio community. There is some ability to get in contact with Google if you have an enterprise-level contract with Google Cloud, but the path for support is very ad hoc and not always fruitful.
Read full review Pros 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. Read full review Self-service Easy to use, point and click Little to no training required Easy to share internally and externally Rich visualizations Canned reports Easy to copy/paste/dupe existing reports Ability to join data sets Easy integration with various data sources Flexible data integrations, including lowest common denominator (CSV, XLS, G-Sheets) Wide range of APIs Secure / authentication via Google SSO Easy to share / re-assign ownership of reports and data sources Read full review Cons Cost is the single largest barrier to entry with this tool. Would like to see a greater variety of export options available for use outside of the tool, for example as a vector graphic. Support has been uneven at times. Read full review Few functionalities are very exclusive only for data studio. It's time taking to load data and at the same time only single Data source can be connected. When editing the reports you have to switch between Edit and View mode to see how does the change looks like. Read full review Likelihood to Renew It is the simplest and least expensive way for us to automate our reporting at this time. I like the ability to customize literally everything about each report, and the ability to send out reports automatically in emails. The only issue we have been having recently is a technical glitch in the automatic email report. Sadly, there is almost no support for this tool from Google, but is also free, so that is important to take into consideration
Read full review Usability 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.
Read full review Google Data Studio has a clean interface that follows a lot of UX best practices. It is fairly easy to pick up the first time you use it, and there is a lot of documentation on line to help troubleshoot, if needed
Read full review Support Rating 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.
Read full review I give it a lower support rating because it seems like our Dev team hasn't gotten the support they need to set up our database to connect. Seems like we hit a roadblock and the project got put on pause for dev. That sucks for me because it is harder to get the dev team to focus on it if they don't get the help they need to set it up.
Read full review Alternatives Considered 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.
Read full review Google Data Studio provides a great feature set considering its price point, especially when compared to commercial options from Microsoft and
Tableau . While it may not be as versatile when it comes to working with and developing complex datasets, there is enough charm in its simple, easy-to-use UI to allow not-so-complex analytics to be conducted without having to hire a data analyst.
Read full review Return on Investment It is difficult to assign a monetary value to it. The initial learning curve was fairly long. It allows us to have better support documentation. It allows ease of communications between functional units. Read full review Free, so the only investment is time Because it doesn't have native support of non-Google sources, it can cost more money than Tableau The time spent formatting the templates or building connectors can have a negative impact on ROI As a agency, charging for the reporting service is profitable after the first month or two after building the dashboard. Read full review ScreenShots erwin Data Modeler Screenshots