Endeca was a business intelligence platform for analyzing unstructured data, acquired by Oracle and since discontinued.
N/A
Tableau Server
Score 8.0 out of 10
N/A
Tableau Server allows Tableau Desktop users to publish dashboards to a central server to be shared across their organizations. The product is designed to facilitate collaboration across the organization. It can be deployed on a server in the data center, or it can be deployed on a public cloud.
$12
Per User Per Month
Pricing
Endeca (discontinued)
Tableau Server
Editions & Modules
No answers on this topic
Viewer
$12.00
Per User Per Month
Explorer
$35.00
Per User Per Month
Creator
$70.00
Per User Per Month
Offerings
Pricing Offerings
Endeca (discontinued)
Tableau Server
Free Trial
No
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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More Pricing Information
Community Pulse
Endeca (discontinued)
Tableau Server
Features
Endeca (discontinued)
Tableau Server
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Endeca (discontinued)
5.5
2 Ratings
39% below category average
Tableau Server
8.4
95 Ratings
3% above category average
Customizable dashboards
5.02 Ratings
7.094 Ratings
Report Formatting Templates
6.01 Ratings
9.081 Ratings
Pixel Perfect reports
00 Ratings
9.129 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Endeca (discontinued)
5.7
3 Ratings
34% below category average
Tableau Server
7.8
95 Ratings
3% below category average
Drill-down analysis
8.02 Ratings
8.095 Ratings
Formatting capabilities
7.01 Ratings
8.093 Ratings
Integration with R or other statistical packages
2.01 Ratings
8.059 Ratings
Report sharing and collaboration
6.02 Ratings
7.089 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Endeca (discontinued)
7.0
1 Ratings
16% below category average
Tableau Server
7.2
91 Ratings
13% below category average
Publish to Web
6.01 Ratings
8.085 Ratings
Publish to PDF
7.01 Ratings
7.084 Ratings
Report Versioning
7.01 Ratings
8.070 Ratings
Report Delivery Scheduling
8.01 Ratings
8.077 Ratings
Delivery to Remote Servers
7.01 Ratings
5.19 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Best fit for this product: - Advanced or Sophisticated Enterprise Search platform: If you spend effort on your search capabilities, Endeca is the tool. - If you are looking for capabilities to search and navigate similar to a relational-database system, then Endeca is not the best fit. - If you are spending effort to drive customer experience, especially around customer interaction with your web application, Endeca can help with that in a multichannel environment.
Whole funnel and specific channel performance from upper to lower funnel metrics. The ability to view full channel performance for some time, such as weekly, monthly, or quarterly, has truly been monumental in how my team optimizes specific channels and campaigns. Daily performance tracking is a bit overwhelming, with load times and having to refresh specific live views over time. It can be challenging to do so at times, as extensive dashboards take much longer to load.
Provides exact, correct counts of items in its dimensions.
Allows for flexible, out-of-the-box boosting of content (based on combo of any/all of: user profile, date, dimension being browsed and search keyword).
It has a reasonably good admin interface for the administration of boosting/promotion rules for the business user.
It's good at doing what it is designed for: accessing visualizations without having to download and open a workbook in Tableau Desktop. The latter would be a very inefficient method for sharing our metrics, so I am glad that we have Tableau Server to serve this function.
Publishing to Tableau Server is quick and easy. Just a few clicks from Tableau Desktop and a few seconds of publishing through an average speed network, and the new visualizations are live!
Seeing details on who has viewed the visualization and when. This is something particularly useful to me for trying to drive adoption of some new pages, so I really appreciate the granularity provided in Tableau Server
Tableau Server has had some issue handling some of our larger data sets. Our extract refreshes fail intermittently with no obvious error that we can fix
Tableau Server has been hard to work with before they launched their new Rest API, which is also a little tricky to work with
If the solution is implemented well and the business understands the purpose of the Endeca stack, it offers a great way for a business to explore and benefit from its existing data. From my experience, the Endeca solution has exposed data patterns to a business that were not thought about or explored before because of the lack of available tools to properly expose these patterns
It simply is used all the time by more and more people. Migrating to something else would involve lots of work and lots of training. The renewal fee being fair, it simply isn't worth migrating to a different tool for now.
The system itself is very usable, and with proper training is very sensible in its organization and method of operation. There are some downsides in initial setup in the way things are imported (or not in some cases) in setting up properties and dimensions. Overall however it's amazingly flexible in terms of the content it can index and make available for search.
Tableau Server takes training and experience in order to unlock the application's full potential. This is best handled by a qualified data scientist or data analytics manager. Tableau user interface layout, nomenclature, and command structure take time and training to become proficient with. Integration and connectivity require proper IT developer support.
Our instance of Tableau Server was hosted on premises (I believe all instances are) so if there were any outages it was normally due to scheduled maintenance on our end. If the Tableau server ever went down, a quick restart solved most issues
While there are definitely cases where a user can do things that will make a particular worksheet or dashboard run slowly, overall the performance is extremely fast. The user experience of exploratory analysis particularly shines, there's nothing out there with the polish of Tableau.
Support has been very good, and the trainers for the various Endeca courses have all been very willing to help long after the classes have been completed, so in the instances where we're waiting on support from Oracle, it's often that the members of their training arm can help us out as well.
We have consistently had highly satisfactory results every time we've reached out for help. Our contractor, used for Tableau server maintenance and dashboard development is very technically skilled. When he hits a roadblock on how to do something with Tableau, the support staff have provided timely and useful guidance. He frequently compares it to Cognos and says that while Cognos has capabilities Tableau doesn't, the bottom line value for us is a no-brainer
The training is actually really good, and absolutely necessary - although this is software that has great documentation, the documentation itself is so vast, that it would be difficult to learn haphazardly, not to mention being incredibly time consuming to do so. Online training probably would have been fine except for the fact that having someone look over your shoulder to see where you're going wrong is helpful. This also allowed our team to sit in a single room and converse about functionality, etc. that would have been difficult to facilitate via an online class.
In our case, they hired a private third party consultant to train our dept. It was extremely boring and felt like it dragged on. Everything I learned was self taught so I was not really paying attention. But I do think that you can easily spend a week on the tool and go over every nook and cranny. We only had the consultant in for a day or two.
We did some online Q&A with the Oracle team, but I would definitely recommend doing an in person class if you have a large team that will be attending - there's definitely no replacements for a large class of technically oriented staff members who can drive conversation about specific topics that might surface.
The Tableau website is full of videos that you can follow at your own pace. As a very small company with a Tableau install, access to these free resources was incredibly useful to allowing me to implement Tableau to its potential in a reasonable and proportionate manner.
There were some features we were hoping to get implemented in this particular release of Endeca, but were unable to facilitate those requirements due mostly to timeline. Having seen several other implementations, we will definitely have future iterations to add functionality and improve upon our implementation of Endeca. For the time being, we are satisfied with our implementation as it turned out.
Implementation was over the phone with the vendor, and did not go particularly well. Again, think this was our fault as our integration and IT oversight was poor, and we made errors. Would they have happened had a vendor been onsite? Not sure, probably not, but we probably wouldn't have paid for that either
Oracle Endeca was the best option that we evaluated by far. It gave us the most flexibility and ability to meet our objectives and had features that were not offered by the competing products we evaluated, but which we very much wanted, and this was why we decided to go with Oracle Endeca versus another platform
Today, if my shop is largely Microsoft-centric, I would be hard pressed to choose a product other than Power BI. Tableau was the visualization leader for years, but Microsoft has caught up with them in many areas, and surpassed them in some. Its ability to source, transform, and model data is superior to Tableau. Tableau still has the lead in some visualizations, but Power BI's rise is evidenced by its ever-increasing position in the leadership section of the Gartner Magic Quadrant.
It is a searching tool, and hard to estimate its impact on conversion.
It does its job regarding better searching; In terms of efficiency, it's hard to say: it has big learning curve. It requires a dedicated Endeca developer to work on it.
Tableau does take dedicated FTE to create and analyze the data. It's too complex (and powerful) a product not to have someone dedicated to developing with it.
There are some significant setup for the server product.
Once sever setup is complete, it's largely "fire and forget" until an update is necessary. The server update process is cumbersome.