Adobe Commerce Intelligence (formerly Magento BI) is an ecommerce analytics solution that provides data pipeline, warehouse and visualization capabilities. It was acquired by Magento, and is now owned and supported by Adobe.
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Longview Analytics
Score 8.4 out of 10
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Longview Analytics is a reporting tool used to create custom dashboards to enable teams to monitor company-wide activities and implement performance-enhancing changes. It is used to improve resource management and strategic impact.
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Tableau Desktop
Score 8.4 out of 10
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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.
$1,380
per year (purchased via a Creator license)
Pricing
Adobe Commerce Intelligence
Longview Analytics
Tableau Desktop
Editions & Modules
No answers on this topic
No answers on this topic
Tableau Creator License
$115
per month (billed annually) per user
Offerings
Pricing Offerings
Adobe Commerce Intelligence
Longview Analytics
Tableau Desktop
Free Trial
No
No
No
Free/Freemium Version
No
No
Yes
Premium Consulting/Integration Services
No
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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All pricing plans are billed annually. A Creator license includes Tableau Desktop, Tableau Prep Builder, and Tableau Pulse. Discounts sometimes available for volume.
acplan beats Qlik on basically everything, including price. It's technically far superior, provides far better security and unlike Qlik does not require coding when things get complex.
A company or organization that is in contact with the customer and wants to examine customer behavior in the purchase and selection of products and services should use this platform. It does not matter how many advertising tools and referral links or social media campaigns you use to attract customers. In any case, Magento BI integrates all the information and DB as a single platform and provides you with the best reports. Potential customers can be positioned according to location, city, country. Now we know exactly which product is most popular and where to put our advertising costs on which site or social network has the most audience.
It is very suitable for complete corporate BI solutions. If you see BI as embedding information into your organization and business processes, and thus as more than just a few scattered dashboards and reports, arcplan is your platform. It's less suitable for ad-hoc reporting and data discovery. It can do it (everything is possible), but there is strong competition in this area.
The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).
It is relatively easy to manipulate the time period in which you want to see your report. This is important for our business because we are constantly analyzing sales month over month, quarter over quarter, and year over year. RJ makes it easy to toggle between these time ranges on the same report.
The visualizers available for reports are what you would expect out of a product like this. You have the ability to view your results in tables and a multitude of charts.
The ability to customize dashboards and rearrange reports quickly is great and intuitive!
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.
Educational videos and tutorials must be more simpler and more understandable language with subtitles
There should be the ability to select graphic diagrams with different shapes and graphs
The basic features of the Essential Paln can be increased with the current price so that startup companies can better use the features of this platform.
Positioning and marketing. Most BI vendors use a non-technical sales strategy and focus on shiny, sexy dashboards to sell the story. In order to position arcplan fairly and correctly, the technical and business advantages need to be part of a sales story. So, it is not really an easy product to sell to customers, if it has to compete with now-to-wow-five-minute products.
Learning/training for developers. It's easy to learn the basics of arcplan, because the interface is logical. But nothing prevents a beginning developer from creating a monstrous application, because there is no prescribed architecture. It really takes some experience to become a good arcplan architect. It's a disadvantage resulting from one of arcplan's biggest advantages.
Data connectors: arcplan standard comes with a connector of your choice. Additional connectors need to be purchased separately. Many other products come with a full range of connectors.
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.
In addition to its features, it has made the Magento Commerce platform much better, more functional, and smarter, and through Magento BI dashboard they know very well what reports have been sent and all our business tools are summarized in one business platform. The ability to share report results is very popular and useful, and you can share content with anyone anywhere in the world.
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 very strong and knowledgeable support team and great help forums and documents, any questions and cases will be answered immediately or checked through tickets and resolved quickly. It is also possible to send comments and changes. Or our team , fast response and after-sales cooperation of the service company is always more than the product itself and its quality, and we want the service and support to support our interests.
Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.
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.
I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems
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.
The advantage of Magento BI is easier compatibility and adaptation with Adobe platforms and easier installation, configuration and customization with Mojto Store Builder and its various caskets, and I am very satisfied with it now and in every way I think it is a very good platform for integration in reporting.
Personally, I prefer QlikView not because it's more stable but simply just for the looks of the dashboard. One of my clients in Sydney recently moved from arcplan to QlikView. The reason was mainly looks and that QlikView has more training materials for the support users to train with. So in all, it does not really stack well against QlikView.
I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.
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.
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.