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Splunk

449
701
+ 1
11
Tableau

891
922
+ 1
4
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Splunk vs Tableau: What are the differences?

Splunk: 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; Tableau: Tableau helps people see and understand data. Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Splunk can be classified as a tool in the "Log Management" category, while Tableau is grouped under "Business Intelligence".

Avocode, Zumba, and SoFi are some of the popular companies that use Tableau, whereas Splunk is used by Starbucks, Intuit, and Razorpay. Tableau has a broader approval, being mentioned in 67 company stacks & 38 developers stacks; compared to Splunk, which is listed in 31 company stacks and 29 developer stacks.

Decisions about Splunk and Tableau

Very easy-to-use UI. Good way to make data available inside the company for analysis.

Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.

Can be embedded into product to provide reporting functions.

Support team are helpful.

The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.

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Vojtech Kopal
Head of Data at Mews Systems · | 3 upvotes · 153.5K views

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

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Pros of Splunk
Pros of Tableau
  • 2
    API for searching logs, running reports
  • 1
    Query engine supports joining, aggregation, stats, etc
  • 1
    Query any log as key-value pairs
  • 1
    Splunk language supports string, date manip, math, etc
  • 1
    Granular scheduling and time window support
  • 1
    Alert system based on custom query results
  • 1
    Custom log parsing as well as automatic parsing
  • 1
    Dashboarding on any log contents
  • 1
    Ability to style search results into reports
  • 1
    Rich GUI for searching live logs
  • 3
    Capable of visualising billions of rows
  • 1
    Responsive

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Cons of Splunk
Cons of Tableau
  • 1
    Splunk query language rich so lots to learn
    Be the first to leave a con

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    What is Splunk?

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

    What is Tableau?

    Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Splunk?
    What companies use Tableau?
    See which teams inside your own company are using Splunk or Tableau.
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    What tools integrate with Splunk?
    What tools integrate with Tableau?

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    What are some alternatives to Splunk and Tableau?
    Datadog
    Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
    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.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    Sumo Logic
    Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.
    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.
    See all alternatives