5 Best Log Data Analysis Tools in 2018

All cloud applications create a large amount of log data that are typically stored on isolated servers and accessed via queries to analyze a problem after it has occurred. A new set of tools have been created that enable users to analyze log data in real time, making the querying quick and easy allowing users to get insights into the operation of their application using the log data. This can be used to address problems, before they arise. These tools give you the ability to monitor and search all your log data in one place using a simple interface. Analyzo has listed the best Log Management Tools that are out there.


Best Log Data Analysis Tools

Splunk
Price : Custom

Splunk provides software to consolidate and index any log and machine data, including structured, unstructured and complex multi-line application logs.
View More Visit Website

Logentries
Price : Free - Custom

Logentries provides real-time monitoring and search to give you the power to search your log events as they occur for immediate insight and reliable resolution. It lets you dynamically scale and adapt your data volume or infrastructure, regardless of the size, format or environment.
View More Visit Website

Loggly
Price : Free - Custom

Loggly is also a robust log analyzer, focusing on simplicity and ease of use for a devoper audience. Loggly is geared more towards helping devopers find and fix operational problems. This makes it very developer-friendly.

Papertrail
Price : Free - Custom

Papertrail offers a quick to set up log management service that can be easily scaled. It features Full-text search, Message, metadata, even sub-strings.

Timber.io
Price : Pay-As-You-Go

Timber is a new kind of cloud-based logging system designed for applications and developers that lets you spend less time debugging and more time shipping.

Click Here To See Top Comparisons & Alternatives for Log Data Analysis Tools

FAQ's for Log Data Analysis Tools

What do Log Data Analysis Tools do?

Log Data Analysis Tools are used by businesses to monitor the network and extract valuable data that provides useful insights into a network's performance. Logs are generated automatically and prove to be very useful for troubleshooting security related issues. They are powerful tools that are either command-line or GUI based.

What is the advantage of using Log Data Analysis Tools?

The biggest advantage of using Log Data Analysis Tools is that they help find the exact cause of an application error that may be forcing the site to not work as it normally would. Log Data Analysis are great tools that also help prevent security attacks even before they can happen. Your web application is accessed by thousands of people from all over the globe. Logs provide a central place to analyse all the data regarding how your site is being used.

What are the features to look out for in Log Data Analysis Tools?

Retention Time: Retention time refers to the duration of time your logs are retained for before they are deleted. You may want high or low retention time based on your needs.
S3 Archiving: By being able to archive your logs to S3 Buckets by Amazon, you get the freedom of accessing them in future when required.
Storage: If your logs are huge in terms of size, it is better if you opt for a plan that gives you high storage capacity.

Which is the best Log Data Analysis Tool?

Out of dozens of Log Data Analysis Tools that are available in the market, Analyzo has done thorough research and listed the best for you to choose from based on your requirements and needs. Some of the most popular ones are Splunk and Loggly.
© analyzo.com