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Splunk is a data platform that helps organizations search, monitor, and analyze machine-generated data for IT and security operations.

Primary category: Coding
About this data
This page reflects public online discussion, collected and scored by automated systems and summarized using AI. It is not a statement of fact, not an audit, and not our own opinion of the product. Automated analysis can be incomplete or wrong, and scores carry the limitations described in our methodology. Companies can respond with their own perspective. See how this is calculated.

Updated July 6, 2026

Overall Pulse Score

36
Pulse Score

+1 over this period

A 0-100 index summarizing the tone of 236 relevant public mentions gathered from public online communities across 13 weeks in the selected period. It measures online sentiment, not a rating of the product's quality.

Weekly Sentiment Trend

Pulse Score by week over the selected period. Each point is one complete week of mentions.

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This week in public discussion

Bugs and reliability problems dominated Splunk discussion over the recent period, with commenters reporting rendering issues, broken Terraform deployments after a repository rename, and UI display problems following an Enterprise upgrade. Several mentions praised integration capabilities and specific features, though complaints about missing or incomplete integrations also appeared. The overall tone skewed heavily negative, as bug reports far outnumbered positive remarks, with reliability concerns surfacing repeatedly across multiple threads.

Read the deeper analysis

AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.

Sentiment mix by week

How the tone of public discussion splits each week.

Most-discussed praise

Strong features23
Good integrations20
Feature requests8
New releases5
Easy to use5

Most-discussed complaints

Bugs119
Reliability59
Lacking integrations21
Feature requests12
Missing features12

Themes across the selected period, with mention counts.

How Splunk compares

Pulse Score over the selected period versus the top tracked competitors in Coding.

Where the mentions come from

Share of the 236 relevant public mentions in the selected period, by source.

GitHub100% (235)
Hacker News0% (1)

Sample public mentions

Showing 5 of 236 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.

Hi HN,I’m Dan Lussier & I built a SIEM named nano. The platform took around 6 months to be fully featured (and tested, and security scanned.. many times over). I’ve been working in information security for over 20 years, and even if it sounds redundant, I always found major SIEM ...

Hacker NewsJun 3, 2026

Splunk MCP not working with Codex CLI - handshaking with MCP server failed. ### What version of Codex CLI is running? codex-cli 0.128.0 What subscription do you have? Business Which model were you using? gpt-5.5 What platform is your computer? Darwin 25.2.0 arm64 arm What termina...

GitHubMay 4, 2026

App Store rejection: CFBundleIdentifier Collision and Invalid nested bundles in CiscoSessionReplay.framework. ### 1. Describe the Issue Hi team, I am using the splunk_otel_flutter package in my Flutter project. Everything works fine during local builds, but when uploading the fin...

GitHubMay 8, 2026

Bug: Duplicate pins are sometimes rendered. This bug is intermittent. It can be reproduced by opening a fresh Splunk search tab, and then running this SPL sample: Then select the Maps visualization. As expected, 5 pins are rendered. Then, change the Time range from '24 hours' to ...

GitHubMay 12, 2026

Artifacts and Containers created by the app do not trigger active playbooks. **Name of the app** Splunk **Describe the bug** When configured to run a search in on_poll the containers/artifacts do not trigger active playbooks in the environment. **To Reproduce** Steps to reproduce...

GitHubMay 7, 2026

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Deeper analysis

  • Bug reports and reliability complaints dominated discussion by an overwhelming margin across the full four-week window.
  • Sentiment climbed from an early low through mid-period before reversing and declining sharply toward the end of the window.
  • Opinion was divided on integrations and releases, with some commenters praising specific connections while others cited gaps or breakage introduced by recent changes.
  • Security functionality drew split reactions, appearing in both positive and negative themes, reflecting a closely watching and critical segment of the audience.
Praise themeMentions
Strong features23
Good integrations20
Feature requests8
New releases5
Easy to use5
Complaint themeMentions
Bugs119
Reliability59
Lacking integrations21
Feature requests12
Missing features12

Public discussion around Splunk over the past four weeks has been heavily weighted toward frustration, with bug reports and reliability concerns dominating the conversation by a wide margin. Commenters raised issues spanning UI rendering failures, broken deployments triggered by a provider rename, and validation gaps in security workflows. The sheer volume of bug-related mentions dwarfed positive signals, and several mentions described problems that emerged specifically after upgrades or new releases, suggesting that recent changes introduced instability rather than resolved it.

The score trajectory tells a story of a brief recovery followed by a steeper decline. Sentiment reached a low point early in the window before climbing through mid-May and peaking around mid-June. That rebound appeared to coincide with a stretch of slightly higher mention activity where feature praise and integration notes surfaced more prominently. However, the recovery did not hold. Scores dropped again in the most recent tracked weeks, falling to notably low territory by late June, with the final data point reflecting a sharp downward move even as mention volume thinned.

Where opinion divided most clearly was around integrations and releases. A cluster of commenters expressed appreciation for specific integrations and praised particular features, while a roughly comparable group flagged integrations as lacking or incomplete. New feature releases drew both positive attention and criticism, with at least one widely noted case where a release itself caused downstream breakage for users relying on infrastructure-as-code tooling.

Reliability emerged as a persistent undercurrent across the window rather than a flash concern. Discussion suggested that rendering inconsistencies and ingestion monitoring failures were affecting both cloud and on-premise deployments. Security-related commentary was mixed, appearing in both the praise and complaint columns, pointing to an audience that monitors this dimension closely and holds expectations that commenters felt were not consistently met.

AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.

Member perspectives

Individual opinions from Pro members, posted over time. These are personal member views, not aggregated sentiment data.

Data summary

Total mentions analyzed (all time)
236
Mentions in selected period
236
Weeks in range
13
vs Coding average (46)
Below by 10
Pricing
Custom pricing
Sources
GitHub (235), Hacker News (1)

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