Coremetrics / IBM Digital Analytics (discontinued) vs. SolarWinds Loggly

IBM analytics has continued to improve upon the days of being the original core metrics. After using the updated version for quite some time, it has been great at providing the needed analytics to measure ROI and goal performance for our quarterly KPI's. It has resulted in a great increase in web engagements although we are a midsize company, smaller outfits may not need such an expensive option.

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SolarWinds Loggly is great for capturing and organizing logs from 3rd party sources such as NGINX. Without SolarWinds Loggly it's really difficult to manage the logs overtime, find traffic patterns, and identify issues before they become a problem. Anyone who is routinely searching through massive log files could quickly benefit from the SolarWinds Loggly and it's capabilities.

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• IBM CXA comprises an acquisition called Tealeaf. This tool has deep heritage and this is evident in its present-day capabilities.
• The Universal Behaviour Exchange or UBX puts the concept of personalisation at the forefront. The ability to combine physical (analog) and digital transactions to create the complete picture of a customer journey, is a stand out benefit.
• The solution does not have to involve the purchase of software. IBM CXA can be sold as a service bundled with analytics as a service. This not only lowers the cost of ownership, it gets around one of the principal issues. Strong staff with design and analytical capability to drive the solution and deliver tangible benefits.
• The seamless integration of Watson AI services to help with the heavy lifiting. Watson reinforces the analytical focus this solution has and can learn to recognise situations specific to a company.

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• Putting our logs in one place and making them searchable. We use AWS, and CloudWatch has always been a little frustrating in this regard (though it has gotten better recently).
• Deriving metrics from our logs. I think log-based metrics is such a good idea because your logs are the ultimate source for truth in regards to what the hell is going on inside your app. I have really loved the simplicity with which I can just count certain statements and call that a metric because just through the normal course of development certain log statements just naturally become a straightforward recording of an event having occurred.
• Alerts. I actually have a few complaints about email alerts, but just the way I was able to set them up so easily has been huge. Since we started using Loggly, there have been at least 3 bugs that Loggly exposed that were frankly very bad. And withoutt Loggly or without a user reporting them, we would have never known they were happening! This is stuff I tried to set up in CloudWatch in various ways, but because of my own ignorance or perhaps the complexity/limitations of CloudWatch (or the complexity of my stack?), I wasn't getting the information that I needed until I was able to just tell Loggly to send me an email whenever the word "error" showed up.

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• The user interface is in Flash, which can be very frustrating and slow at times. Apparently, this is to be transitioned in a future release.
• Can only segment the last 93 days of data. Any historical segmentation beyond the 93 days must be run in Explore (which is credit based, and has its own limitations with the number of credits per month, based on the initial contract with IBM).
• Reports can only display 93 days of data at a given time for custom date ranges. There are pre-programmed date ranges setup with IBM during implementation (last week, last month, last quarter etc.), but are not flexible enough to answer more specific questions.
• Certain reports cannot have segments applied, making answering some simple questions a bit more tricky. For example, I can create a segment around mobile devices and apply it to the marketing channels report, but I can't create a marketing channel segment and apply it to the mobile reports.
• Built in API calls allows for nice report design and automation.

• Not all searches are intuitive.
• We have to use a log aggregating device to ship our logs to Loggly as our network devices can not connect on an encrypted protocol. I would prefer if we could use some sort of VPN-based connector to ship logs securely.
• Sometimes when drilled down, it can be difficult to fully reset a search term to back all the way out of a drill down.

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IBM Digital Analytics is a great solution for our clients and I believe they offer the best solution for the retail space. We have access to IBM support via email or live chat and they can answer many of the reporting questions that come up. IBM is receptive to our feedback of the product so I am confident they will continue making improvements

Management is not open to having an agent sending the data to the cloud instance.

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Very easy to implement and use.

Loggly's easy setup, very good customer support, and intuitive interface make Loggly very easy to use. User access management is also very easy as we can tailor the experience for each of our developers to access the information they need without having to wade through other information. While there was a slight learning curve in how to view the logs the way some specifically wanted, everything was possible and quite easy to do.

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Never had any issues

As reports are templated, the system is pretty quick. Sometimes you have to wait a bit for a report to render. Or you might have to re-load the page. But there is no real issue here and the system is on par with other similar systems.

Overall, the level of support is very good and I would say it is a strong asset of the solution. However, you can sometimes feel that there is a difference of level among the support team.

The support team have been great when we have logged tickets or had issues, most of the time it is down to user training, however we have had a couple of bugs that they have been able to iron out for us.

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Online training is really great. One of the best assets that they have. Lots of great videos, pop quizzes at the end of each module. Fantastic. Other tools have similar features, but not as good.

See previous comment: reading and understanding the encyclopedic implementation guide is a must.

It has good architecture, which focus on ese of use.

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Much of the work we did in IBM Digital Analytics could have been answered through Google Analytics, a much simpler, agile and FREE solution set. Not mention, given the vast number of Google Analytics USERS, free and actionable support is simply a click away ... this compared to IBM Digital Analytics fractured and often absent support service.

We were using Zabbix. While it is an open-source solution that you can install for free the following things were limitations of the solution. 1) The scale and uptime of the solution are now your own problem. Since we were hosting at AWS this meant we still had a cost of the AWS solution. 2) The product is complicated from a configuration standpoint. In order to get anything meaningful out of it, you had to invest a lot of time and effort. We did consider NewRelic. I have experience with that product and do think that it is a solid alternative. Ultimately experience with the simplicity and speed of deployment with Loggly encouraged me to suggest using this again.

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This solution can support large amount of data and transaction. The way that user management features are built, it shows it is meant for large organizations.

• We spend too much time trying to work around bugs on the new UI.
• We spend too much time trying to figure out how to make certain segments work because support and the knowledge center are lackluster.
• Our sales rep is very unresponsive and leaves us searching for a lot of answers on our own, including what other products we may benefit from that IBM offers.

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• Unfortunately, we hit our logging cap on a weekly basis and we lose logs after that.
• We have lost logs after hitting the maximum during service outages. We have become accustomed to not being able to rely on having them, then things go poorly.

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