Domo is a full self-service business intelligence software that combines several data analysis and reporting tools into one platform. It helps users connect to multiple data sources, create robust visual reports, manage their data, send messages in real-time, manage projects, and develop new apps.
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Spotfire
Score 8.5 out of 10
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Spotfire, formerly known as TIBCO Spotfire, is a visual data science platform that combines visual analytics, data science, and data wrangling, so users can analyze data at-rest and at-scale to solve complex industry-specific problems.
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Pricing
Domo
Spotfire
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Domo
Spotfire
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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For Enterprise engagements, contact Spotfire directly for a custom price quote.
More Pricing Information
Community Pulse
Domo
Spotfire
Considered Both Products
Domo
Verified User
Manager
Chose Domo
Domo is a complete end-to-end platform that provides warehouse, ETL, and visualization features as against these other platforms which are mostly visualization platforms. Though other platforms have started providing data cleaning features, they do not provide connectivity to …
I believe that companies that record large amounts of data about their product, service employers KPIs, etc, can make the best out of Domo for reporting and data analysis, but if a company handles little data and is not recording this consistently, it will not be of much use.
A high level of data integration is available here it supports various data sources and so on. Collaborating features allow users to give access to the dashboard and merge data analytics with other team members. It can meet the demands of both small and large size business enterprises. A customized dashboard and reports are provided to meet the specific needs and get support of extensibility through APIs and customized scripts.
Exceptional Transform area of the platform - any/all raw data can be manipulated and combined to create datasources that are very useful for our departments.
Visualization layer is clean and is very business presentable. Its simple but includes depth. Visuals can be created/used by all roles throughout our firm, its not limited to analysts.
Ability to communicate and talk about insights in the data - the communication tool is exceptional. I can @ mention specific users to bring attention to a discovery. I can start a private chat. I can annotate and communicate what I am seeing. I love it.
Mobile experience is excellent. When I am on the road i can actively monitor and engage with my team due to my Domo dashboard on my mobile device. Its amazing to run the business and not worry while away from the office.
Copying Reports - In Excel or Google Sheets, I like to make copies of similar reports and modify them as necessary for users. In Domo, makes copies of reports (called cards) but all copies are connected. So if you adjust the copy, it changes the original. This means a user has to recreate the report from scratch and then adjust it.
Unforgiving SQL - Domo does allow users to write their own SQL codes, which is great. However, Domo's SQL code is pickier than the other SQL database I've used (Metabase).
Text Alerts - Domo's alerts aren't always the smartest. Some of my dashboards are about the sales teams monthly performance and I get notified when there is a change of more than 20%. I always get notified at the start of the month that reports have changed from 'x' number to zero. This is expected because it's a monthly report and I hate getting texts about it. The only reason I don't term them off so I can be aware if something breaks in the middle of the month.
The donut chart is I guess a powerful illustrations but I hope it should be done quite simple in Spotfire. But in Spotfire there are lots of steps involve just to build a simple donut chart.
Table calculation (like Row or Column Differences) should be made simple or there should be drag and drop function for Table Calculation. No need for scripting.
Information Link should be changed. If new columns are added to the table just refreshing the data should be able to capture the new column. No need extra step to add column
Domo is a great up-and-coming product. There are many fantastic features that are extremely compelling to our end users, which makes Domo a great fit for our organization. As with many BI tools, there are items on the wish list that could make implementation, administration and usage easier, but I believe these will be addressed over time as the product matures and evolves. The overall concept and approach of this solution has definitely raised the bar in this area of expertise and I would like to see things advance in giving the enterprise tools that will make decision making easier and more robust in the future.
-Easy to distribute information throughout the enterprise using the webplayer. -Ad hoc analysis is possible throughout the enterprise using business author in the webplayer or the thick client. -Low level of support needed by IT team. Access interfaces with LDAP and numerous other authentication methods. -Possible to continually extend the platform with JavaScript, R scripts, HTML, and custom extensions. -Ability to standardize data logic through pre-built queries in the Information Designer. Everyone in the enterprise is using the same logic -Tagging and bookmarking data allows for quick sharing of insights. -Integration with numerous data sources... flat files, data bases, big data, images, etc. -Much improved mapping capability. Also includes the ability to apply data points over any image.
The built-in user support and intuitive design of Domo makes it simple to learn and use. I find I can spend hours drilling deep, or else quickly gain an overview in just a few minutes. This is a great advantage since the flexibility fits well with the demands of my role. I enjoy using Domo since I know it will give me comparative data across almost every variable I might want to explore - I look forward to it!
Basic tasks like generating meaningful information from large sets of raw data are very easy. The next step of linking to multiple live data sources and linking those tables and performing on the fly analysis of the imported data is understandably more difficult.
Even though, it's a rather stable and predictable tool that's also fast, it does have some bugs and inconsistencies that shut down the system. Depending on the details, it could happen as often as 2-3 times a week, especially during the development period.
Generally, the Spotfire client runs with very good performance. There are factors that could affect performance, but normally has to do with loading large analysis files from the library if the database is located some distance away and your global network is not optimal. Once you have your data table(s) loaded in the client application, usually the application is quite good performance-wise.
Pretty responsive. It took a while to get a response in selecting data points for our particular cards. Might have taken about a month? I am not sure if this was something on our end or Domo's end. But haven't had any other issues yet that required additional support from Domo.
Support has been helpful with issues. Support seems to know their product and its capabilities. It would also seem that they have a good sense of the context of the problem; where we are going with this issue and what we want the end outcome to be.
The instructor was very in depth and provided relevant training to business users on how to create visualizations. They showed us how to alter settings and filter views, and provided resources for future questions. However, the instructor failed to cover data sources, connecting to data, etc. While it was helpful to see how users can use the data to create reports, they failed to properly instruct us on how to get the dataset in to begin with. We are still trying to figure out connections to certain databases (we have multiple different types).
The online training is good, provides a good base of knowledge. The video demonstrations were well-done and easy to follow along. Provided exercises are good as well, but I think there could be more challenging exercises. The training has also gone up in price significantly in the last 3 years (in USD, which hurts us even more in Canada), and I'm not sure it is worth the money it now costs (it is worth how much it cost 3 years ago, but not double that.)
It is a true web-based application so implementation is much easier and smoother compared to other non-web based BI solutions. Also, they offered consulting services during the implementation process, which was helpful. Also, they provided lots of on-demand training courses and videos, which I liked.
The original architecture I created for our implementation had only a particular set of internal business units in mind. Over the years, Spotfire gained in popularity in our company and was being utilized across many more business units. Soon, its usage went beyond what the original architectural implementation could provide. We've since learned about how the product is used by the different teams and are currently in the middle of rolling out a new architecture. I suggest:
Have clearly defined service level agreements with all the teams that will use Spotfire. Your business intelligence group might only need availability during normal working hours, but your production support group might need 24/7 availability. If these groups share one Spotfire server, maintenance of that server might be a problem.
Know the different types of data you will be working with. One group might be working with "public" data while another group might work with sensitive data. Design your Library accordingly and with the proper permissions.
Know the roles of the users of Spotfire. Will there only be a small set of report writers or does everyone have write access to the Library?
ALWAYS add a timestamp prompt to your reports. You don't want multiple users opening a report that will try and pull down millions of rows of data to their local workstations. Another option, of course, is to just hard code a time range in the backing database view (i.e. where activity_date >= sysdate - 90, etc.), but I'd rather educate/train the user base if possible.
This probably goes without saying, but if possible, point to a separate reporting database or a logical standby database. You don't want the company pounding on your primaries and take down your order system.
At the end of the day, end-user adoption and taking the burden of IT to build reports was my goal. Demoing and testing many BI tools, DOMO is the one that allowed both to happen.
Spotfire is significantly ahead of both products from an ETL and data ingestion capability. Spotfire also has substantially better visualizations than Power BI, and although the native visualizations aren't as flexible in Tableau, Spotfire enables users to create completely custom javascript visaualizations, which neither Tableau or Power BI has. Tableau and Power BI are likely only superior to Spotfire with respect to embedded analysis on a website.
In an enterprise architecture, if Spotfire Advanced Data services(Composite Studio),data marts can be managed optimally and scalability in a data perspective is great. As the web player/consumer is directly proportional to RAM, if the enterprise can handle RAM requirement accomodating fail over mechanisms appropraitely, it is definitely scalable,
I mentioned a "previously un-analyzable" dataset that we were able to visualize in Domo - the result was business re-alignment for increased productivity, cost savings and ROI.
It's tough to quantify the ability to provide insights that have been desired for years but not possible - we continue to amaze our executives and product managers with the analysis we can provide.
