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  5. Azure Monitor vs Splunk

Azure Monitor vs Splunk

OverviewComparisonAlternatives

Overview

Splunk
Splunk
Stacks772
Followers1.0K
Votes20
Azure Monitor
Azure Monitor
Stacks60
Followers184
Votes0

Azure Monitor vs Splunk: What are the differences?

Key Differences between Azure Monitor and Splunk

Azure Monitor and Splunk are both powerful tools for monitoring and analyzing data in an IT environment. While they share several similarities, there are key differences that set them apart.

  1. Data Collection and Integration:

    • Azure Monitor gathers data from Azure resources and services, providing seamless integration within the Azure ecosystem.
    • On the other hand, Splunk is capable of collecting data from a wide range of sources, including cloud platforms, on-premises systems, and third-party applications. It offers more flexibility in terms of data collection and integration.
  2. Scalability and Elasticity:

    • Azure Monitor is a cloud-native solution, offering automatic scalability and elasticity. It can handle massive amounts of data and scale accordingly as demand fluctuates.
    • Splunk, while capable of scaling, requires manual configuration and management for scalability. It may need additional hardware or infrastructure adjustments to accommodate increasing data volumes.
  3. Analytics Capabilities:

    • Azure Monitor offers built-in analytics tools like Log Analytics and Application Insights, providing powerful query and visualization capabilities for data analysis.
    • Splunk, being a dedicated data analytics platform, provides a wider range of sophisticated analytics features like machine learning, custom dashboards, and extensive search capabilities.
  4. Pricing Model:

    • Azure Monitor pricing is typically included as part of the Azure subscription, making it more convenient and cost-effective for organizations already utilizing Azure services.
    • On the other hand, Splunk follows a separate pricing model based on data ingestion and usage, which can become expensive for organizations with large data volumes.
  5. Security and Compliance:

    • Azure Monitor prioritizes security and compliance, adhering to industry-standard security practices, and offering features like Azure Active Directory integration and Role-Based Access Control (RBAC).
    • Splunk also provides security features, but it may require additional configurations and customizations to meet specific compliance requirements.
  6. Ease of Use and Learning Curve:

    • Azure Monitor benefits from its integration with the Azure portal, providing a unified user experience and ease of use for Azure customers. Its learning curve is relatively lower for organizations already familiar with Azure services.
    • Splunk, being a dedicated analytics platform, has a steeper learning curve, requiring more time and effort to master its features and capabilities.

In Summary, Azure Monitor offers seamless integration with Azure services, automatic scalability, and built-in analytics tools, while Splunk provides flexibility in data collection, advanced analytics features, and wider compatibility with various platforms. The choice between Azure Monitor and Splunk depends on the specific needs, preferences, and existing infrastructure of an organization.

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Detailed Comparison

Splunk
Splunk
Azure Monitor
Azure Monitor

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

It provides sophisticated tools for collecting and analyzing telemetry that allow you to maximize the performance and availability of your cloud and on-premises resources and applications.

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
Store and analyze all your operational telemetry in a centralized, fully managed, scalable data store that’s optimized for performance and cost; Test your hypotheses and reveal hidden patterns using the advanced analytic engine, interactive query language, and built-in machine learning constructs; Integrate with popular DevOps, issue management, IT service management, and security information and event management tools
Statistics
Stacks
772
Stacks
60
Followers
1.0K
Followers
184
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
Jira
Jira
Azure DevOps
Azure DevOps
PagerDuty
PagerDuty
BindPlane
BindPlane

What are some alternatives to Splunk, Azure Monitor?

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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