Endeca (discontinued) vs. Oracle Analytics Cloud

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.

I would say if you are already using Oracle products, it's smart or wise to utilize this and any other product from Oracle. A bundle package is always helpful. The migration to everything to the cloud makes practical and business sense, given the major upside. Cost and the training associated with it are always an impediment.

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.

• Available without of the box connectors for Salesforce and oracle Saas Cloud. This is a huge plus for our business since we don't need another middleware solution just for this sake.
• We are able to connect to our on-prem SQL Server database where we have our RMA database and other applications seamlessly without writing custom APIs.
• OAC writes directly into ADW which is another advantage for loading Excel files into ADW after dataflow transformations.
• OAC allows replication of the database from fusion ERP and lets us create subject areas using the data modeler.

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

• Reports that output data to portable and mobile devices should be in a better and more appropriate form and improved.
• In the beginning, the initial settings take some time, which I think requires a smart wizard to set up and get started.
• Must add mores diagrams and graphs

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

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.

I gave this rating because it's near perfect. A rating is 9 for the tremendous work being put behind the tool. The tool that is safe and easily accessible to all colleagues in the company with the help of various levels of security or data accessibility to each colleague/team. It is fast, accurate, and downloads the data in no time.

Incentivized

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.

Oracle Analytics Support team is very proactive and I have never had a situation where I had to wait for more than a day or two to get my issues resolved. This is a very big help for us and we appreciate Oracle and its team for guaranteeing that experience.

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.

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.

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.

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

If compared with other major BI and data visualization tools ODVC guarantees a higher level o scalability. In fact, ODVC is ideal to be used to cover very complex use cases with data coming from different enterprise systems through different integration technology. ODVC can easily deal with millions of records.

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.

• Consolidated data. Cloud analytics makes it easier to gain a unified view, bringing together all your disparate data sources from different business systems in one place.
• Data preparation – OAC can ingest data from multiple sources, profiling and cleansing data as loaded into the cloud service.

Incentivized