Logi Symphony is a business intelligence and data visualization software that includes customizable dashboards, reporting, and visual data analytics. It can be integrated into users’ existing business applications and its visualization and reporting tools can be customized.
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Spotfire
Score 8.0 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
Logi Symphony
Spotfire
Editions & Modules
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No answers on this topic
Offerings
Pricing Offerings
Logi Symphony
Spotfire
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
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
Logi Symphony
Spotfire
Considered Both Products
Logi Symphony
Verified User
Anonymous
Chose Logi Symphony
The feature set is richer, and price is reasonable. We felt we were paying more for Tableau's name than their features, as updates are slow.
Dundas ticks all the relevant boxes: - set up actually easy and works (was not the case for Pentaho) - you do not need one license per email address you want to send reports to (as for Tableau)
Dundas is an easier GUI overall to navigate and is a lot more visually configurable. The number of data connectors available also allows us to use it as a solution for many projects. The support provided is quick and prompt, with great technical depth when required.
We have tested Tableau prior to Dundas BI and though Tableau is a great package in itself, Dundas BI is much more cost-effective for our needs and requirements and hence zeroed in on Dundas BI.
We have also tried Microstrategy but it has a very dated UI and doesn't suit our …
Per dollar spent, it offers the widest range of features of the tools that we evaluated. It offers lots of options for how to configure your environment, though they are not always intuitive to figure out. Having an ETL layer was a must have for us, as well as the ability to …
Much better for multi-tenancy. Power bi just doesn't have many features and is just lackluster. telerik doesn't look as good although slightly more powerful with data manipulation. Too many BI reporting tools out there don't offer multi-tenancy and I have no idea why. It is …
We were comparing Dundas BI against several other programs and eventually decided to go with Oracle as we were already using a host of their other products. Dundas was just as robust, we were just using more Oracle products and they all fit together very smoothly.
Personally as a dashboard software I use Qlik Sense more because I consider it a very simple product to use, but this is a personal choice. However, for some things, it does not satisfy me fully. In my opinion, they are software that are alternated depending on the customer in …
It is a very good tool for dashboard and scorecard design. It looks great. However, it requires a lot of work regarding renaming components, deploying between different environments, and scripting customized functionalities.
These other products tend to do quite a poor job of allowing you to embed them into other products. Either the architecture is not suited to embedding or they make it too expensive to do this. Dundas is designed and priced to do this (embedding) well. We found Dundas …
Dundas and Sisense are very similar. Both are very powerful and flexible with an eye toward further innovation. I expect both will do well as we enter a major transition period for BI.
Periscope Data and Dundas differ substantially and seem to have different paths forward. …
Dundas BI offers a high level of visual customization in the dashboards if required (through CSS, JavaScript, HTML) as well data customization (C#) in the data cubes. We are an organization that believes in doing as much as possible for ourselves and not replying on …
Manager - Business Intelligence & Data Architecture
Chose Logi Symphony
We were a user of Dundas Dashboard previously. We had explored other tools, but we ended up upgrading to Dundas BI because of the HTML 5 compliance (no more Silverlight requirement), ease of use and time to market. The other tools could do the job, but they were not as flexible …
I selected Dundas BI to be our preferred partner since we saw that it the most flexible tool that allows our customers to design their dashboards in they way that they are not restricted in their development process.
We found that Dundas BI struck the perfect balance between ease of use and flexibility, while still remaining within a reasonable budget. Other products were either to technical, lacked functionality, or "broke the bank".
It is much more powerful to build more interactive and feature rich dashboards. Most of the above are great at ad hoc analysis but not for providing a full feature and rich guided dashboard experience. Dundas BI is great to build a suite of dashboards and easy to deploy …
We looked into Tableau, Qlikview also. These tools are doing all the same basically. There are some items which DundasBi does do really well. Next to the product the organzation behind is really dedicated and commited with their customers. They treat you as a customer and just …
Spotfire has an extremely large and dynamic range of visual analysis tools that can be catered for most issues or projects to create a custom analytics dashboard when compared to other tools I've used. It's multitude of available database connections allow for most …
Spotfire is stronger than other tools to built complex metrics within the tool, without needs of etl updates and query changing. It has lots of useful visualizations to deep dive data and give interesting analysis to business users. Moreover, with some studies and tests, you …
Although Spotfire has a longer learning curve, it has proven to be more practical and impactful than Tableau. We had only evaluated other tools at a high level initially, and were surprised to hear the success stories of companies moving from Tableau to Spotfire. We have found …
Because of Spotfire's robust features and capabilities, I chose it as my
preferred software. Spotfire's greater overall performance and
scalability set it apart from other software solutions. It can handle
Spotfire is appropriate for every organization of any size because it can be a recipient of data for better decision-making. Being a robust development platform for creating reports and dashboards, creating a new Spotfire dashboard is relatively simple. Developers can create …
Spotfire is more suited for manufacturing industries with regards the huge data to process to make relevant decision that use big data for making decisions, besides this Spotfire supports more and excels at Availability & Scalability, Data Sources Connectivity and Deployment …
I choose Spotfire because of the following - custom visual using JavaScript - on the fly chart property update using iron python - easy report Deployment and update -easy to manage user access via so or ldap - best report data Extraction -mix data sources -custom data load …
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 …
Spotfire's key strength les in extent of customization possible and it's inherent Data Analytics capabilities. With in-memory and in-database analysis capabilities, it comes out as a high performance and high efficiency BI solution. Adding to it, Spotfire integrates the …
Easy to use and is a very flexible tool. Great to have multiple services. Find it to be a trusted platform. The ability to add Iron Python scripts and include code snippets is very useful. Like the style of the created views.
I find both Microsoft Power BI and Spotfire very easy to use. I would rate them on par with each other. There isn’t much to differentiate them. Maybe the learning curve on Spotfire is a bit steeper than Microsoft Power BI.
Augmented AI with Spotfire is very useful for data virtualization. Since data visualization is a quick and very easy way to convey our information. This software makes it easier with its interactive way of presenting data in charts, graphs, and 3D forms.
It provides all tools along with in-built apps for analysis and generating reports, metrics, charts, and graphs. Comes with appropriate costing model at least for an average size organization
Spotfire is the best application for power users by virtue of its wide variety of visualizations, incorporated analytics, superior data canvas, and ability to integrate code such as R or Python. The learning curve is steeper and the menus are Windows 7 once you are past some …
The only other tool we use in my course is Tableau. Tableau is very popular regionally (Omaha, NE), runs locally on Mac and PC, is free for students and faculty, and has a web outlet for sharing. It also plays well with AWS. For these reasons, we use it as the primary …
Considering it's price point in the market, Dundas BI offers a lot of functionality. They are constantly adding features and bug fixes which is great, but also means there are always updates to take if you want everything to work as expected. The standard user interface is pretty easy to understand, but it takes a while for developers and power users to become independent of documentation.
Spotfire was used to look at a large data set of an in process manufacturing step. The data visualization was set up to look at yield as a function of several inputs (chemical / equipment / operator). After only a short analysis it was immediately obvious that there was a 5% yield discrepancy based on the operator using the equipment. The operators were retrained and the yield gap was eliminated.
Project organization from Development to Production, you get a production and development license but I think the best way to do it is with DEV and Prod project in the Production box. Use the development box for testing updates and really crazy things. With the Dev and Prod projects on the same box, you just publish from Dev to Prod and you are done. Users only have access to the Prod projects so no one can mess up what you are working on.
Security - If you have a hierarchy (subsidiaries, divisions, department, teams) and you want each group to see only their data, then Security hierarchies are for you!
Dependent filters! What's this you ask? Here is an example of how it can be used, in your company you have departments and who works for what department is in your database. You make a dashboard that has a department filter (only show these departments), a managers filter, and employee filter. Not every manager or employee is in multiple departments usually only one. With dependent filters you can say that the manager and employee filter are dependent on what is selected in the departments filter so when you go to filter them they only show the managers or employees that are part of that department, and you can even it do so employees are not only dependent on department but on manager as well. Then it gets even better as it can be done in reverse as well so when you select a manager then go to the department it only shows the departments he works for (there are better situations where this is more useful).
It is scriptable! From calculate columns, null replacements, button actions, load actions, hover over events there a way to do what you want.
They are constantly improving and listens to your suggestions.
Not too many cons for how we use the application. It really is easy and powerful. Very powerful.
Licensing is one thing that could be looked into. It is simple, but a little confusing. For example, if I get a license today, but a new release comes out tomorrow, it seems that the license doesn't work with the new release. Maybe that is by design, but it would be nice to clearly understand.
They should have a lower price point for users to access the analyst version who don't require advanced capabilities. For example, a lower price if users just need to do some basic slicing and dicing with their data and not have to the data science functionality (ie. K-means clustering, regression modeling, classification modeling, etc.).
Currently, you can't change the font type/color on the axis, which I'm sure will eventually be available in the future as they have a Spotfire Ideas portal that they're fairly responsive to and act on. I guess at the end of the day, it's about the data and what insights you get from it.
It's a very powerful tool that allows for a myriad of customizations within the analysis files themselves, particularly with the custom expression functionality. There have been some great strides with the quality of the visualization options (which were not great to begin with) and I hope to see more improvements made as the product gets updated.
We are still in the implementation phase, but so far we are finding it to be easy to use and learn. The eLearning courses that they have made available for free, as well as User Forums and other training videos have made even difficult concepts easier to understand.
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.
We have bi-weekly calls with our Success Manager, as well as access to support as needed. Any question that I have had, multiple people have been willing and able to jump on a call to talk me through it, or send an email with the solution
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.)
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.
We have tested Tableau prior to Dundas BI and though Tableau is a great package in itself, Dundas BI is much more cost-effective for our needs and requirements and hence zeroed in on Dundas BI. We have also tried microstrategy but it has a very dated UI and doesn't suit our needs in today's more modern world
Spotfire is appropriate for every organization of any size because it can be a recipient of data for better decision-making. Being a robust development platform for creating reports and dashboards, creating a new Spotfire dashboard is relatively simple. Developers can create highly customized dashboards using the tools it provides. I will recommend this software to others
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,
Spotfire really helped a lot of people in terms of analysis. It eliminates data analysis in excel. Because even underlying data you can explore it in Spotfire.
Spotfire helps data analysts to investigate data and also help analysts solve inconsistency of data.
Spotfire helps data analysts in building great dashboard that provide insights to users to make decisions to drive revenue and manage the churn.