Alert Logic vs Splunk

Overview

Splunk

Stacks772

Followers1.0K

Votes20

Alert Logic

Stacks12

Followers20

Votes0

Splunk vs Alert Logic: What are the differences?

Developers describe Splunk as "Search, monitor, analyze and visualize machine data". Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data. On the other hand, Alert Logic is detailed as "Fully managed security-as-a-service and compliance solution". Alert Logic offers SIEMless Threat Management that connects platform, intelligence, & experts to provide the best security and peace of mind for your business.

Splunk can be classified as a tool in the "Log Management" category, while Alert Logic is grouped under "Security".

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Detailed Comparison

Splunk	Alert Logic
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.	Alert Logic offers SIEMless Threat Management that connects platform, intelligence, & experts to provide the best security and peace of mind for your business.
Predict and prevent problems with one unified monitoring experience; Streamline your entire security stack with Splunk as the nerve center; Detect, investigate and diagnose problems easily with end-to-end observability	Threat monitoring and visibility; Intrusion detection; Security analytics; Log collection and monitoring; Office 365 log collection and search.
Statistics
Stacks 772	Stacks 12
Followers 1.0K	Followers 20
Votes 20	Votes 0
Pros & Cons
Pros 3 Alert system based on custom query results 3 API for searching logs, running reports 2 Ability to style search results into reports 2 Query engine supports joining, aggregation, stats, etc 2 Dashboarding on any log contents Cons 1 Splunk query language rich so lots to learn	No community feedback yet
Integrations
No integrations available	Apache Maven

What are some alternatives to Splunk, Alert Logic?

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

Let's Encrypt

It is a free, automated, and open certificate authority brought to you by the non-profit Internet Security Research Group (ISRG).

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

Presto

Distributed SQL Query Engine for Big Data

Sqreen

Sqreen is a security platform that helps engineering team protect their web applications, API and micro-services in real-time. The solution installs with a simple application library and doesn't require engineering resources to operate. Security anomalies triggered are reported with technical context to help engineers fix the code. Ops team can assess the impact of attacks and monitor suspicious user accounts involved.