Breaking Up With Splunk is Easy to Do

  • 11 July 2018

The Hidden Costs of Your Next Data Storm

If you have ever tried using Uber during rush hour or after a crowded event, you know what surge pricing is. Similarly, NetOps and SecOps teams are also held hostage to surges to ensure their networks can scale for big data initiatives or the next data storm.

Today’s network teams must evaluate and deploy, with confidence, the tools and the processes to best respond to their organizations’ requirements, and until recently, Splunk seemed the answer. Splunk promised scale and a free point of entry, but over the years has only unleashed crippling fees with unrealistic scale preventing customers the ability to index mass data during spikes.

How many of you have experienced a Splunk-Scenario-Gone-Bad (and costly, too)?

Here’s The Secret

LogZilla responds to each of the above scenarios exactly the same—no matter how many Splunk servers/licenses you have to support in your environment, your scale will be unrealistic to future demands, thus limiting your data indexing during the next data storm, the next post-GDPR compliance initiative, the California Data Privacy law coming in 2020, the next big data analytics request from management, or worse, the next cyberattack or breach.

We had a chance to review in detail Splunk’s scaling limits from their Solution Partner Brief, August 2017, where they outline their maximum daily indexing, which is most certainly lower than what you need to address future data spikes.

The never-ending licensing/server costs Splunk collects has many companies vying for an alternative solution which can increase their network productivity and lower costs.

LogZilla is showing enterprises how they can index up to 10TB of data, per day, using only one server, allowing organizations to be prepared for the next data storm.

If you are already a Splunk customer, let us show you in less than one minute how LogZilla can pre-duplicate your data, still saving millions in while providing the scale you need.