Piwik is an open source analytics platform that enables users to measure web and mobile apps as well as intranet portals. It protects the privacy of users through advanced privacy features and its approach to data ownership. Piwik offers On-premises and Cloud deployment options.
Available in over 50 languages, it is fully customisable and vendor-independent. Piwik offers over 70 integrations with Content Management Systems, Ecommerce solutions, Forums as well as other mobile and web platforms.…
$0
Tableau Desktop
Score 8.3 out of 10
N/A
Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
$70
per month
Pricing
Matomo Analytics
Tableau Desktop
Editions & Modules
Free download (open source)
$0
Free 30 day trial
$0
limited to 30 days
Essential
$9
number of pageviews (monthly traffic)
Business
$29
number of pageviews (monthly traffic)
Enterprise
$199
your requirements and monthly traffic
Content Optimization Bundle
$579
per installation
Growth Bundle
$1,149
per installation
Premium Bundle
$1,499
per installation
Email Support Subscription
$2,090
per installation
Tableau Creator
$70.00
Per User / Per Month
Offerings
Pricing Offerings
Matomo Analytics
Tableau Desktop
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
Optional
No setup fee
Additional Details
On-premise Edition is free to download and install on one's own servers.
Matomo is a full-fledged website tracking and analytics tool. It offers everything and then a bit more that GA has to offer. I cannot conceive of any situation where this programme would be "less appropriate". You can use it for each and every website and do well with it. The data it provides includes everything you could wish for (country, IP, new user or not, actions taken, goals achieved etc.)
Tableau Desktop is one the finest tool available in the market with such a wide range of capabilities in its suite that makes it easy to generate insights. Further, if optimally designed, then its reports are fairly simple to understand, yet capable enough to make changes at the required levels. One can create a variety of visualizations as required by the business or the clients. The data pipelines in the backend are very robust. The tableau desktop also provides options to develop the reports in developer mode, which is one of the finest features to embed and execute even the most complex possible logic. It's easier to operate, simple to navigate, and fluent to understand by the users.
One of Piwik's strengths is the provision of customizable widgets for different bits of analytics data. The ability to add and remove them, change dates and more makes this a flexible way to visualize data.
The visitor log section is also rich, providing date, keywords, actions and more in a single table, which makes it easy to identify your most effective content.
And the visitor actions table includes both bounce rate and time on site, so you can quickly tell which pages have the most engagement.
Data display is a strength for Piwik, as you have access to overview charts while simultaneously being able to drill deeper.
An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
From a user security standpoint it would be useful to provide users the ability to have two-factor authentication. While stats data is not necessarily sensitive in aggregate, some users may feel that certain portions need to be more secure.
It would be nice if there was a tighter integration with the Google search/referrer API so that "keyword not defined" would be replaced more often with the actual keyword that is being used to send a visitor to a site.
An easier branding method, maybe in the form of an API function set, that pulled branding URLs from a set of database fields would be great as well.
At this point, there is not a single conceivable reason as to why we would not renew and continue to use Piwik Analytics. Especially since it is a free program and open source. The product will only get better over time as more people look into it and donate to cause so that development can continue.
Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
Piwik succeeds in presenting me (and my associates and my clients...) large amounts of data in a user friendly way. The interface and functionality can easily be customized. While some enhancements do need technical background (API calls by programming language from the webserver or javascript), others are easy to use (goal / event tracking)
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
The best thing about the Matomo support is that they have a forum which basically you can find the answer to almost all of your questions and most of the time you don't need to contact them regarding your questions and problems but if you need help they will answer in a reasonable time slots.
I have never really used support much, to be honest. I think the support is not as user-friendly to search and use it. I did have an encounter with them once and it required a bit of going back and forth for licensing before reaching a resolution. They did solve my issue though
It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
The training for new users are quite good because it covers topic wise training and the best part was that it also had video tutorials which are very helpful
Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
We have used Google Analytics before for one of our online tools and we switched to Matomo for the other web applications we have. We did that because Matomo is free but mostly since we wanted us to own the data on these sensitive apps and not share it with third parties. Since we have the data locally, we can now apply machine learning techniques to improve the systems even more.
If we do not have legacy tools which have already been set up, I would switch the visualization method to open source software via PyCharm, Atom, and Visual Studio IDE. These IDEs cannot directly help you to visualize the data but you can use many python packages to do so through these IDEs.
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
By using Piwik, we can better identify keywords used to search for the website and by targeting those keywords on search engine advertising (Google, Bing, Yahoo), it helps with conversion and also saves us money by cutting down guess work.
By using Piwik graphs, it helps to save our employees time in creating pie charts and bar charts to present to upper management.
Since Piwik is free to use, there is no reason not to implement it. Most likely, with your website, you will already have access to SQL and hosting package. There is minimal cost to implementing Piwik.
Tableau was acquired years ago, and has provided good value with the content created.
Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.
