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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Looker
Score 8.5 out of 10
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Looker is a BI application with an analytics-oriented application server that sits on top of relational data stores. It includes an end-user interface for exploring data, a reusable development paradigm for data discovery, and an API for supporting data in other systems.
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Pricing
Logi Symphony
Looker
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Logi Symphony
Looker
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Required
Additional Details
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Must contact sales team for pricing.
More Pricing Information
Community Pulse
Logi Symphony
Looker
Features
Logi Symphony
Looker
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Logi Symphony
8.4
Ratings
3% above category average
Looker
8.3
Ratings
2% above category average
Pixel Perfect reports
8.40 Ratings
7.90 Ratings
Customizable dashboards
8.60 Ratings
8.90 Ratings
Report Formatting Templates
8.10 Ratings
8.30 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Logi Symphony
8.1
Ratings
1% above category average
Looker
8.4
Ratings
4% above category average
Drill-down analysis
7.90 Ratings
8.10 Ratings
Formatting capabilities
8.20 Ratings
7.80 Ratings
Integration with R or other statistical packages
7.60 Ratings
8.70 Ratings
Report sharing and collaboration
8.60 Ratings
9.10 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Logi Symphony
7.9
Ratings
5% below category average
Looker
8.7
Ratings
5% above category average
Publish to Web
8.40 Ratings
8.30 Ratings
Publish to PDF
7.80 Ratings
9.00 Ratings
Report Versioning
7.80 Ratings
8.50 Ratings
Report Delivery Scheduling
8.30 Ratings
9.10 Ratings
Delivery to Remote Servers
7.20 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
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.
When you need to create a centralised dashboard for multiple stakeholders that blends cross-channel reporting. As an SEO agency reporting for clients - Looker is a great solution. It's less appropriate depending on the intended users. For instance, in my experience Looker reports have been under-utilised because they're not accessed regularly, provide too much noise or often simple PDF reports are preferred
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.
We are very haooy with Looker, it provides us with all the funciomalities we need for both the day to day oerformance tracking and longer periods reporting. It is easy to use for account managers, configurable and customizable for soecialists and what is most imoortant, our clinets generally really love it
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.
Looker is relatively easy to use, even as it is set up. The customers for the front-end only have issues with the initial setup for looker ml creations. Other "looks" are relatively easy to set up, depending on the ETL and the data which is coming into Looker on a regular basis.
Somehow resources heavy, both on server and client. I recommned at least 50Mbs data rate and high performance desktop comouter to be abke to run comolex tasks and configure larger amount of data. On the other hand, the client does not need to worry when viewing, the performance is usually ok
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
Never had to work with support for issues. Any questions we had, they would respond promptly and clearly. The one-time setup was easy, by reading documentation. If the feature is not supported, they will add a feature request. In this case, LDAP support was requested over OKTA. They are looking into it.
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
In my opinion, Looker is no Power BI. It is good, but I think Power BI is amazing. That said, in my experience, Power BI is nowhere near as easy to setup and report on Google services as Looker is. We plan to continue using Power BI for c-suite and corporate reporting, especially for internal databases, but will gladly use Looker for our marketing information for AdWords, Analytics, Search Console, and YouTube.
Other than some people not liking the numbers, I don't see any negative impacts; we haven't experienced that.
The reports help us unravel the story of our users and how they are sifting through our pages.
Our clients enjoy seeing the numbers to understand better what stands out on their sites.
The reports have helped us see what campaigns are working and where we need to tweak things.
The reports have enabled us to have better conversations with stakeholders about how their web pages should be modified, edited, etc., to reflect the data.