erwin Data Modeler vs. Sisense for Cloud Data Teams

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.

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Sisense for Cloud Data Teams is suited so well for our project that works with lots of data and needs some ways to share data internally or externally with our clients. It's very easy to pull out the data from the sense in best and in a suitable format and moreover a huge number of options are available there to represent the data. All features of this Sisense for cloud data teams software can be taken advantage of if you have a team who are well versed in data analytics, data management, and programming.

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• 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.

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• Rapid deployment of polished T-SQL-based data visualization charts and dashboards. Periscope supports a variety of database technologies, and allows users to write custom queries to display data.
• Included caching to reduce server load.
• Outstanding customer service/support, with expert advice as needed.
• Constant updates and new features.
• Built-in SQL formatters take the pain out of manipulating date/time objects.

• 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.

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• Include more appropriate updates in their monthly newsletter as opposed to the general overview that doesn't always have the most pertinent information at the forefront.
• There are bugs at times when certain dashboards are down, though not in an overwhelming way.
• If you do not tag something it shows up in multiple views and may be accessible to people that it should not be, though that is a user error it may make sense to prompt for a tag and security setting.

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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.

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If you know SQL or are somewhat data-savvy, you'll feel right at home with Sisense for Cloud Data Teams. However, like most other BI tools, it is a little challenging to use for users that are non-technical. The graphs and charts are very visually appealing, and there's lots of customization and export options.

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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.

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The user interface is just amazing and it's really very easy to use and navigate, even for a newbie. Mostly it provides us the accurate data.

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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.

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Google Analytics works well but it does not have all of the bells and whistles that Periscope Data offers. Google Analytics is best used in a Google environment but if you are using other tools and programs outside of the Google universe, then Periscope Data is a much better option.

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• 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.

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• Very positive - has allowed us to glean insights quickly and in real time.
• Definitely helpful for evaluating performance of accounts and employees.
• Versatile - we even use it with recruiting metrics, our software team uses it to test feature deployment.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info