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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Splunk vs Zabbix

Splunk vs Zabbix

OverviewDecisionsComparisonAlternatives

Overview

Zabbix
Zabbix
Stacks684
Followers981
Votes66
GitHub Stars5.3K
Forks1.1K
Splunk
Splunk
Stacks773
Followers1.0K
Votes20

Splunk vs Zabbix: What are the differences?

Splunk vs Zabbix

Splunk and Zabbix are two popular tools used for monitoring and managing systems and infrastructure. While both offer similar functionalities, there are key differences between them.

  1. Data Collection and Processing: One notable difference between Splunk and Zabbix is in the way they handle data collection and processing. Splunk is built on a log-centric approach, where it collects and indexes log data from various sources, allowing users to search, analyze, and visualize this data. On the other hand, Zabbix focuses on monitoring and collecting metrics, providing real-time monitoring and alerting capabilities.

  2. Flexibility and Scalability: Splunk is known for its flexibility and scalability, allowing users to handle massive amounts of data and easily scale their deployments. It offers a wide range of plugins and APIs, enabling integration with various data sources and systems. Zabbix, on the other hand, has a simpler architecture and is more suitable for smaller to medium-sized environments.

  3. User Interface and Visualization: Splunk provides a user-friendly interface with powerful visualization capabilities. Its dashboards and charts allow users to analyze data and monitor system performance effectively. Zabbix, while offering visualization features, has a more basic interface and may require more configuration to achieve similar visualizations as Splunk.

  4. Alerting and Notifications: Both Splunk and Zabbix offer alerting and notification functionalities. Splunk's alerting system allows users to set up customizable alerts based on specific conditions or events. Zabbix also provides alerting capabilities but may require more manual configuration for intricate alerting scenarios.

  5. Community and Community Support: Splunk has a larger and more active community, providing extensive resources, plugins, and knowledge base articles. Zabbix also has a dedicated community, but it may not be as extensive as Splunk's. Splunk's community support is known to be strong and responsive.

  6. Licensing and Cost: Splunk offers both free and paid licensing options, with the paid version providing additional features and scalability. Zabbix, on the other hand, is open-source and free to use, making it a more cost-effective solution for organizations on a tight budget.

In summary, while both Splunk and Zabbix serve the purpose of system monitoring and management, Splunk stands out in terms of its log-centric approach, flexibility, scalability, and user-friendly interface. Zabbix, being open-source, provides a cost-effective solution with a simpler architecture suitable for smaller environments. Ultimately, the choice between Splunk and Zabbix depends on specific requirements, budget, and scalability needs of the organization.

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Advice on Zabbix, Splunk

vivek
vivek

Jun 8, 2020

Needs adviceonCentreonCentreonZabbixZabbixDatadogDatadog

My team is divided on using Centreon or Zabbix for enterprise monitoring and alert automation. Can someone let us know which one is better? There is one more tool called Datadog that we are using for cloud assets. Of course, Datadog presents us with huge bills. So we want to have a comparative study. Suggestions and advice are welcome. Thanks!

796k views796k
Comments

Detailed Comparison

Zabbix
Zabbix
Splunk
Splunk

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

Smart, Highly Automated Metric Collection; Advanced Problem Detection; Intelligent Alerting and Remediation
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
Statistics
GitHub Stars
5.3K
GitHub Stars
-
GitHub Forks
1.1K
GitHub Forks
-
Stacks
684
Stacks
773
Followers
981
Followers
1.0K
Votes
66
Votes
20
Pros & Cons
Pros
  • 21
    Free
  • 9
    Alerts
  • 5
    Service/node/network discovery
  • 5
    Templates
  • 4
    Base metrics from the box
Cons
  • 5
    The UI is in PHP
  • 2
    Puppet module is sluggish
Pros
  • 3
    API for searching logs, running reports
  • 3
    Alert system based on custom query results
  • 2
    Splunk language supports string, date manip, math, etc
  • 2
    Query engine supports joining, aggregation, stats, etc
  • 2
    Custom log parsing as well as automatic parsing
Cons
  • 1
    Splunk query language rich so lots to learn
Integrations
Slack
Slack
Jira
Jira
PagerDuty
PagerDuty
Grafana
Grafana
Ansible
Ansible
Skype
Skype
Chef
Chef
Bugzilla
Bugzilla
HipChat
HipChat
ServiceNow.com
ServiceNow.com
No integrations available

What are some alternatives to Zabbix, Splunk?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Papertrail

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.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Logmatic

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

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

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

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

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.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

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