In comparison, Databox has been a more robust solution and one that works really well with HubSpot (our preferred marketing automation platform). It's a bit pricier than Cyfe was (not sure now), but the features are worth it.
Much cheaper and seems to do at least as good of a job while having a similar integration stack. I also appreciate the efforts Databox go to on their blog and podcast to help educate people on all things data and metrics.
Databox automatically integrates with tons of different data sources without you needing to arrange the backend information on how everything should connect. Tableau, Power BI, and Sisense require a lot of manual setup unless you have all of your fields perfectly matched up …
While HubSpot is where we store our information and utilize the systems, the reporting wasn't deep enough and it didn't include the entire website since it is hosted elsewhere. So I started looking at options, and Databox came as a recommendation so I checked it out and haven't …
Databox and Grow are similar tools, and truthfully, Grow is a more powerful platform with more sophisticated reporting, integrations, and a larger feature set. However, Grow is significantly more expensive and Databox has the features you need most for less of an investment. I …
HubSpot's reporting tool simply isn't enough. It also doesn't help that the reporting add-on for HubSpot is an additional $200/month, and it only reports on HubSpot stuff. That's why we selected Databox--to report on other platforms like FB ads, Google Analytics, etc.
Databox is unique in its ability to report from multiple data sources. Google Analytics is the standard when it comes to web metrics, but it's just one of the tools that integrates with Databox. Tableau is fantastic for data visualizations and reporting, but it's much more …
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 …
Endeca is much better than ATG for searching ATG's catalog.
Verified User
Anonymous
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
Anonymous
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
Anonymous
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.
Databox is fantastic for companies or agencies that regularly report on a variety of metrics from multiple data sources. It's ideal for any company that uses a variety of different tools (as long as Databox integrates with them). It's particularly good for HubSpot agencies and companies that use HubSpot. It's maybe not necessary for companies that only use one tool or don't do reporting.
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.
Some types of data can only be reported on for 1-2 months back. Unless I'm misunderstanding the function of the software this seems really weird. I can't figure out how to report on Activities more than 2 months ago
For the most part, it is quite intuitive, however, you need to have an intermediate knowledge of HTML to be able to construct unique promotional web pages. Nowadays, with WordPress and other content management systems that have WYSIWYG interfaces, Endeca may prove to be challenging to HTML beginners.
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
Databox is an intuitive, well-designed platform that can be used by non-technical marketers. It is easy to learn, and while set up takes time, usability is high and the team has enjoyed creating custom dashboards and clients have also given us great feedback regarding its usability and value. While other BI tools are much more complex to navigate, Databox is a breeze.
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 have really enjoyed using Databox and have seen the value of it in many ways. They also continue to improve the functions of it and grow their integrations and templates. I look forward to continuing to use Databox in the future, potentially even finding ways to incorporate it into other departments to help them with reporting as well.
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.
While HubSpot is where we store our information and utilize the systems, the reporting wasn't deep enough and it didn't include the entire website since it is hosted elsewhere. So I started looking at options, and Databox came as a recommendation so I checked it out and haven't turned back. I didn't evaluate any other products because Databox met our need and we were able to get started right away.
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 powerful than Endeca.
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.