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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Adobe Analytics vs Splunk

Adobe Analytics vs Splunk

OverviewComparisonAlternatives

Overview

Splunk
Splunk
Stacks772
Followers1.0K
Votes20
Adobe Analytics
Adobe Analytics
Stacks118
Followers109
Votes0

Adobe Analytics vs Splunk: What are the differences?

Key Differences between Adobe Analytics and Splunk

Adobe Analytics and Splunk are two popular tools used for data analysis and business intelligence. While they serve similar purposes, there are several key differences between the two:

  1. Data Sources: Adobe Analytics primarily focuses on web analytics, tracking and analyzing user behavior on websites and digital marketing campaigns. On the other hand, Splunk is a versatile platform that can handle a wide range of data sources, including machine-generated data from IT systems, applications, sensors, and more.

  2. Data Volume and Scalability: Adobe Analytics is designed to handle large volumes of web data and provides robust scaling capabilities to accommodate high website traffic. In contrast, Splunk excels in handling massive amounts of machine-generated data, making it ideal for real-time analytics and troubleshooting in complex IT environments.

  3. Data Collection and Processing: Adobe Analytics utilizes tags and JavaScript code to collect data from websites, which can be customized based on specific tracking requirements. In contrast, Splunk relies on log files, APIs, and other data input methods to collect and index data, enabling users to search, analyze, and visualize diverse data sources in real-time.

  4. Data Visualization and Reporting: Adobe Analytics offers a comprehensive suite of built-in visualization tools and pre-built reports, enabling users to create interactive dashboards, generate custom reports, and share insights with stakeholders. On the other hand, Splunk provides a flexible data visualization platform, allowing users to create dynamic visualizations using charts, tables, maps, and other visual components.

  5. Analytics Capabilities: Adobe Analytics provides a rich set of features for advanced analytics, such as segmentation, cohort analysis, attribution modeling, and predictive analytics. It also offers integration with Adobe Marketing Cloud, allowing marketers to leverage the data for personalized customer experiences. While Splunk offers basic analytics capabilities, its strength lies in real-time monitoring, alerting, and anomaly detection for IT operations and security purposes.

  6. Cost and Licensing: Adobe Analytics is a commercial product offered as part of Adobe Marketing Cloud, and the pricing is typically based on usage and the number of features required. In contrast, Splunk has various licensing options, including a free version with limited functionality, a perpetual license, and a cloud-based subscription model with tiered pricing based on indexed data volume.

In summary, Adobe Analytics specializes in web analytics and digital marketing, while Splunk is a versatile platform for real-time analysis of machine-generated data. Adobe Analytics offers robust scalability, extensive visualization capabilities, and advanced marketing analytics features, while Splunk excels in handling diverse data sources, real-time monitoring, and IT operations.

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Detailed Comparison

Splunk
Splunk
Adobe Analytics
Adobe Analytics

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

It is a web analytics service used in the measurement, collection, analysis and reporting of web data for purposes of understanding and optimizing web usage. It makes hard things easy. Its AI and machine learning brings hidden opportunities and answers to everyone with the click of a button.

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
Stacks
772
Stacks
118
Followers
1.0K
Followers
109
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

What are some alternatives to Splunk, Adobe Analytics?

Google Analytics

Google Analytics

Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.

Mixpanel

Mixpanel

Mixpanel helps companies build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain to improve their user experience.

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.

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.

Piwik

Piwik

Matomo (formerly Piwik) is a full-featured PHP MySQL software program that you download and install on your own webserver. At the end of the five-minute installation process, you will be given a JavaScript code.

Graylog

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.

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