Apache Solr vs. Splunk Enterprise

Solr spins up nicely and works effectively for small enterprise environments providing helpful mechanisms for fuzzy searches and facetted searching. For larger enterprises with complex business solutions you'll find the need to hire an expert Solr engineer to optimize the powerful platform to your needs. Internationalization is tricky with Solr and many hosting solutions may limit you to a latin character set.

Incentivized

Pros: Splunk is very well suited if you have multiple log sources of related data. All of them can be correlated and tasks can be automated based on the requirement. Other than alerts, Splunk can also run a specific script of your choice, based on some defined conditions. Cons: If you have a few logs but a large number of log sources, Splunk can be very expensive.

Incentivized

• Easy to get started with Apache Solr. Whether it is tackling a setup issue or trying to learn some of the more advanced features, there are plenty of resources to help you out and get you going.
• Performance. Apache Solr allows for a lot of custom tuning (if needed) and provides great out of the box performance for searching on large data sets.
• Maintenance. After setting up Solr in a production environment there are plenty of tools provided to help you maintain and update your application. Apache Solr comes with great fault tolerance built in and has proven to be very reliable.

Incentivized

• Real-time + Scheduled alerts - i-e you can set up alerts which are actively monitoring your logs
• Pretty good response time for search results. With our key/value logging, Splunk makes it blazing fast to query the data.
• Dashboards provide insights into historical data
• Love how Splunk indexes all of the data and provides keys to search on

Incentivized

• These examples are due to the way we use Apache Solr. I think we have had the same problems with other NoSQL databases (but perhaps not the same solution). High data volumes of data and a lot of users were the causes.
• We have lot of classifications and lot of data for each classification. This gave us several problems:
• First: We couldn't keep all our data in Solr. Then we have all data in our MySQL DB and searching data in Solr. So we need to be sure to update and match the 2 databases in the same time.
• Second: We needed several load balanced Solr databases.
• Third: We needed to update all the databases and keep old data status.
• If I don't speak about problems due to our lack of experience, the main Solr problem came from frequency of updates vs validation of several database. We encountered several locks due to this (our ops team didn't want to use real clustering, so all DB weren't updated). Problem messages were not always clear and we several days to understand the problems.

• At times some queries can run slowly if indices are not on a portion of the query you use.
• Setup time initially can be difficult if your logs aren't stored in common locations or in a common way to write the log.
• Ability to ingest logs from different locations without having to change code to put logs in a certain place (pro and con).
• Searches can be a bit more difficult to look through if your log isn't pulled in a manner that is easy to read through splunk.

Incentivized

We are using Splunk extensively in our projects and we have recently upgraded to Splunk version 6.0 which is quite efficient and giving expected results. We keep track of updates and new features Splunk introduces periodically and try to introduce those features in our day to day activities for improvement in our reporting system and other tasks.

You can literally throw in a single word into Splunk and it will pull back all instances of that word across all of your logs for the time span you select (provided you have permission to see that data). We have several users who have taken a few of the free courses from Splunk that are able to pull data out of it everyday with little help at all.

Incentivized

When properly setup and configured, Splunk is extremely reliable.

Incentivized

Splunk maintains a well resourced support system that has been consistent since we purchased the product. They help out in a timely manner and provide expert level information as needed. We typically open cases online and communicate when possible via e-mail and are able to resolve most issues with that method.

Incentivized

The online course was simple clear and described the main capabilities of the solution. There is also an initial module that can be done for free so anyone can familiarize themselves with the functionality of this solution. On the other hand, however, there could be more free online courses. Maybe even with a certificate, this would broaden the group of people who are familiar with the platform while increasing familiarity with the solution itself.

Smooth without too many major issues.

Incentivized

Apache Solr is a ready-to-use product addressing specific use cases such as keyword searches from a huge set of data documents.

Incentivized

I wanted to learn a new language that I can quickly master and implement. Splunk is easy, fun to use and best of all, it can be developed in hours not days or weeks. Splunk is fundamentally a programming language that is minimal but yet powerful enough to collect, analyze and visualize data.

Incentivized

Splunk can scale in to the petabyte per day range which of course is awesome

• Improved response time in e-commerce websites.
• Developer's job is easier with Apache Solr in use.
• Customization in filtering and sorting is possible.

Incentivized

• Overall very positive. It has provided visibility to what is going on within our network.
• One drawback is the time it takes to get up to speed with the application, but this is up to the user, and Splunk education is excellent.
• In my field, IT Security, there are few other friends to have in your back pocket better than Splunk. They are just that good.

Incentivized