Endeca was a business intelligence platform for analyzing unstructured data, acquired by Oracle and since discontinued.
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Endeca (discontinued)
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Endeca (discontinued)
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Community Pulse
Endeca (discontinued)
Considered Both Products
Endeca (discontinued)
Verified User
Engineer
Chose Endeca (discontinued)
Endeca is brilliant for setting up simple and straightforward search platforms that utilise only basic search rules. On the other hand, Apache Solr supports far more complex search platform implementations, including multi-index search. Overall, I would say Solr is far more …
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 …
Apache Solr, Lucene, Adobe Search and Promote, Google Commerce Search, Amazon Cloud Search
Verified User
Engineer
Chose Endeca (discontinued)
Endeca is much better than ATG for searching ATG's catalog.
Verified User
Vice-President
Chose Endeca (discontinued)
Solr - pros: opensource costs / cons: limited developer tooling
Adobe AEM - pros: experience management tooling for business users / cons: limited functionality around search.
Verified User
Team Lead
Chose Endeca (discontinued)
Endeca is at the same level with largest enterprise search providers. However, it does surpass them in the ability to fine tune and customize search configuration.
The Endeca stack is a good solution to solve a plethora of data problems but its value has to merit its cost. Overall, it provides a better solution than most products out there. It requires an initial technical investment to get the solution going but once this is achieved you …
Verified User
Team Lead
Chose Endeca (discontinued)
Compared to Elasticsearch, Endeca has many out-of the box features that you'll have to code yourself if you're using Elasticsearch. Also, Endeca is a commercial-grade solution, Elasticsearch is still probably in the startup category, although they are gaining traction rapidly.
I described it earlier. Again, Solr is much simpler to learn, use and develop, much more intuitive. As an open source resource, Solr is a great tool. And because of adoption by IBM WebSphere Commerce, the decision to abandon Endeca is easy.
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.
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.
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.
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.
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
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.