Endeca (discontinued) vs. Spotfire

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.

A high level of data integration is available here it supports various data sources and so on. Collaborating features allow users to give access to the dashboard and merge data analytics with other team members. It can meet the demands of both small and large size business enterprises. A customized dashboard and reports are provided to meet the specific needs and get support of extensibility through APIs and customized scripts.

Incentivized

• 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 has the best coding integration (python, R) of any BI product
• The ability to work with very large datasets (10 mil+) is better than competitors
• Export options are more complete and have better functionality
• The data canvas is the best tool to join and transform data vs. competitors

Incentivized

• Endeca's page builder is not fit to be an enterprise product - it is just BAD!
• It is not easy for a non-user to understand Endeca quickly
• Multi-index search (or any complex search implementation) is not easy to setup in Endeca

Incentivized

• The donut chart is I guess a powerful illustrations but I hope it should be done quite simple in Spotfire. But in Spotfire there are lots of steps involve just to build a simple donut chart.
• Table calculation (like Row or Column Differences) should be made simple or there should be drag and drop function for Table Calculation. No need for scripting.
• Information Link should be changed. If new columns are added to the table just refreshing the data should be able to capture the new column. No need extra step to add column

Incentivized

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

-Easy to distribute information throughout the enterprise using the webplayer. -Ad hoc analysis is possible throughout the enterprise using business author in the webplayer or the thick client. -Low level of support needed by IT team. Access interfaces with LDAP and numerous other authentication methods. -Possible to continually extend the platform with JavaScript, R scripts, HTML, and custom extensions. -Ability to standardize data logic through pre-built queries in the Information Designer. Everyone in the enterprise is using the same logic -Tagging and bookmarking data allows for quick sharing of insights. -Integration with numerous data sources... flat files, data bases, big data, images, etc. -Much improved mapping capability. Also includes the ability to apply data points over any image.

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.

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.

Incentivized

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.

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.

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.

Incentivized

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.

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).

Incentivized

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 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.)

Incentivized

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.

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.

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

Incentivized

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 custom javascript visaualizations, which neither Tableau or Power BI has. Tableau and Power BI are likely only superior to Spotfire with respect to embedded analysis on a website.

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,

Incentivized

• 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.
• Compared to Solr, it is way too complicated.

• It is costly, so not suitable for small scale implementations.
• Dashboards are as good as the developer, so need experience to get most out of it
• You need to be on Spotfire 11 at least to implement out of the box visualizations
• Integration with Python and R is a game changer, it comes very handy to onboard data scientists without much hassle
• performance is exceptionally well.
• Secure

Incentivized