Kyubit Business Intelligence Reviews

* Easy to install and upgrade.

* Very easy, intuitive to us, with great performance.

* Quick and outstanding support.

Nothing to dislike: all that we use is intuitive and well built

Easy installation with little technical knowledge. Our users appreciates the UI that is as simple as drag and drop to find what they are looking for !

I am sorry, I don't find what to dislike about this tool...

The way users can know find their own business needs has dramatically simplified the life of our

Great dashboards and descomposition analysis that allow us a deep analysis. The possibility of suscription to dashboards or analysis.

It Lack possibility to add our own maps in geomaps dashboards.

We can now visualize information of our cubes that allows us to make dashboards near realtime in order to provide meaningfull information about call center usefull to take better decissions.

The software is lightweight and fast. Support guys are one of the best I've met so far.

There is a room for growth in the integration of different system parts with each other.

Not a lot of competitors with such price tag. Consider trying trial at least.

Easy to setup and manage internet and intranet portal for browsing OLAP cubes and making\viewing simple dashboards.

Kyubit is a feature rich product that accomplishes core analytical needs at a fraction of the cost of other analytical tools. The Kyubit support team has been very responsive to our needs and we were able to successfully and effectively integrate Kyubit into our existing product with little problems.

Would like to see a calculated column feature that is one of the only features that our clients are using on the old product that we can't currently replicate with Kyubit.

You should definitely consider Kyubit as a cost effective alternative to higher end products. We evaluated a number of products and Kyubit was the right fit for us.

Empowering clients to effective analyze including slicing and dicing large datasets through a thin-client browser.

.Complete web-base interface to SSAS cube(s)

Minimal large data volume issues (sorting large sets, etc)

Fast delivery to end user or almost complete

The subscription service allows you to get reports emailed on a daily/weekly/monthly etc. basis.

The support team respond quickly and are knowledgeable.

Regular product updates with great new features.

Tutorial videos readily available.

.good platform for ad-hock BI

easy to install, easy to use and develop, easy to learn, amazing support - almost all problems was fixed(but new appear :) )

product have some issues in GUI and calculations, some restrictions in data representation, not very modern look and feel, hard to deploy from development to production environment

Web - reporting for solution based at

It works with existing OLAP cubes. Performance is snappy even for large cubes

There are reports that we have in Cognos which use calculated columns. I am unable to reproduce those with Kyubit, because it does not have that feature.

Generally we have been happy replacing existing Cognos cubes with Kyubit.

Snappy performance, quick to build analyses, crisp looking interface. Straightforward sharing with multiple user groups. Nice automatic documentation of analysis parameters if you export a view/report to Excel. Ability to easily drill expand into additional detail on only certain values in a series without having to "drill into" only that value or show same level of detail on all values in a series adds flexibility. Lot of useful tweaks one click away in the options menu. Ability to save "named sets" in filters. Good stuff.

Needs to have the ability to insert calculated columns or rows to perform math operations on values in a series - e.g. summing together the measures for a few values into a partial subtotal, or temporarily perform a calculation operation on two measures without needing to add a new measure to the cube structure. Current solution is to export to Excel to do that kind of operation, but it would be great to insert temporary calculations in an analysis. An automated way to apply an "80/20" type filter on a series with many values, to aggregate all the values that have very small impact on a measure as "other" , leaving the focus on the values with the greatest impact on the measure, would be good.

Providing OLAP for various types of business and marketing transactions in a CRM system for multiple clients, using SSRS for cube development. We have benefited from improved performance, ease of use, effective cross-client deployment, better exporting, and various other factors over our prior OLAP solution.