Chartio (discontinued) vs. Datameer

This product is well suited for end users that don't want to get too in depth with reporting. The interface is simple and the default filter options are sufficient for a general report.
Example: Total Sum of Net Sales for all products sold in X State between dates X and X. If the need is for a more complex query, then there is the Custom Query option. This would be something that an administrator would have to police as having users writing their own queries could get really messy really fast.
I suppose the key questions to ask would be:
Do you need a product that will... display all relevant charts/reports in one consistent place? ... be simple for an end user to navigate? ...be web-based and remotely accessed?

Datameer's workbooks include an intuitive GUI for maximum usability. Anyone with an analytical mind may easily compile data using the built-in worksheet capability without requiring much technological knowledge. Ad hoc reports may now be made and scheduled. In addition, I haven't had too much problem fixing things because I can get most of the answers I want there.

Incentivized

• Constantly updating: many of the BI tools we looked at were slow to iterate on their product. This was a main selling point for us.
• Ease of Use: We have many users that are new to BIs tools and database management in general. BI software as a whole has a pretty steep learning curve for most people, but Chartio does a good job of making things easier all around.
• Database Support: It seems as though every department insists on storing their information using different databases. Chartio had support for everyone one we needed which was very helpful.

Incentivized

• It leverages scalability, flexibility and cost-effectiveness of hadoop to deliver an end-user focused analytic platform for big data without involvement of IT.
• It overcomes Hadoop`s complexity by providing GUI interface with pre-built functions across integration, analytics and data visualization .
• Excel feature is awesome for business users which is already provided by Datameer.
• Using datameer now user can do smart analytic using Decision Trees, Column dependency and recommendation.
• Recently HTML5 inclusion is making application to available on a wider range of devices, including the iPad and other mobile devices which does not support Flash.
• It can be used in premise or in a cloud computing environment.
• Wizard-based data integration designed for IT and business users to schedule and do transformation of large sets of structured, semi-structured and unstructured data without any knowledge of Hadoop ecosystem.

• The sharing is descent but is a bit lacking. You can embed charts but they're not as nice as when displayed on Chartio dashboards.
• The pricing model is very competitive, but just to offer embedding puts you in a very high tier.
• They need a better pricing model for adding users. User licensing is a bit expensive.

Incentivized

• Data visualization and graphics. Right now it's not very user friendly. Creating dashboards requires a lot of work that can be done by the application

Incentivized

It has become a core part of the business in terms of identifying the health of our network. If we grow and there are certain things that might not fit well with Chartio (e.g. we'd want to store snapshots of every single day's dash instead of seeing realtime data), it might make sense to move some of the data analysis tool in-house if resources are available.

Employees with intermediate SQL and Hive knowledge can generate reports faster than using Datameer . It does have visualization tool but I don't think it is anything that cannot be accomplished by importing the data in Excel

I really like using Chartio. I use it on a daily basis for pulling data from different sources and combining data (the explore tab was a great idea for this use). I think I would give it 8/10 because there needs to be more documentation or maybe blog posts about things people are doing with it. I only have my own ideas about what to do /how to graph things. I know there are some articles, but it would be awesome to have a section on the neat dashboards people are building or how they show data in different ways. Another complaint is how much time it takes to load. I know our databases aren't set up precisely for Chartio and I have been creating data stores. But the data stores have so many more limitations that adds a whole new layer of frustration. Love the product, keep up the good work and the fast fixes.

Easy to use for most things, starts to require some planning as your projects get more complex.

I use self learning materials. Pretty helpful. I find myself having to go back to the "drilldown" instructions though, and have a hard time finding hidden variables on a dashboard, so perhaps there is room for intuitive improvements (or maybe I'm just being lazy)

Again, Chartio provides the best multi-user presentation ability for us. Other tools are great for slicing and dicing the data, but at the end, you still have to spend time trying to find a way to present it. Chartio has that built in.

I have compared Datameer with the tools listed above and it blows them out of the water. Datameer is much more user friendly than these tools and is also a lot more powerful. Once the Q1 release comes out with drill down capabilities on the infographics, Datameer will surpass Tableau and Spotfire in visualization.

Chartio has worked well as our datawarehouse has rapidly expanded, and the usability/performance hasn't seemed to have suffered. What we haven't yet realized is additional savings from additional users. We have some dashboard needs for users who truly just view of a few charts, and the licensing structure hasn't yet been structured in a way that would support that type of approach...having 50 "core" licenses, and then potentially several hundred view only licenses for partners that would use the application infrequently.

• Quick time to value. Transition from developer to learning Datameer is less than a day.
• Workspace is drag and drop, which makes it intuitive and easy to use.
• Speed of data transformations.
• Pulling data from various sources.
• Easy to schedule data pipelines.
• Tailor made for Snowflake and Redshift.
• Documentation is sometimes not updated quickly.
• Training videos are a bit long.