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Lightdash

Lightdash is an open-source business intelligence tool that lets data teams explore and share metrics built on dbt models.

Primary category: Software
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 June 29, 2026

Overall Pulse Score

27
Pulse Score

-4 over this period

A 0-100 index summarizing the tone of 319 relevant public mentions gathered from public online communities across 12 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

Discussion around Lightdash over the recent period was heavily negative, with commenters reporting a wide range of bugs and reliability concerns. Several mentions flagged issues including conditional formatting lost during Excel exports, incorrect bar rendering in table visualizations, and dashboard parameter controls producing wrong totals. Commenters also raised reliability worries around concurrent dashboard queries creating memory pressure, alongside a steady stream of feature requests such as OpenTelemetry support and compatibility with dbt-core v2.0.

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

Feature requests3
Strong features2
Missing features1
Compared to rivals1
Good integrations1

Most-discussed complaints

Bugs173
Missing features108
Reliability106
Feature requests91
UI frustrations57

Themes across the selected period, with mention counts.

How Lightdash compares

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

Where the mentions come from

Share of the 319 relevant public mentions in the selected period, by source.

GitHub100% (319)

Sample public mentions

Showing 5 of 319 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.

Support AWS default credentials provider chain for Athena (not just static keys). ### Description Currently, the Athena connection UI requires static AWS Access Key ID and Secret Access Key. This forces users to use long-lived credentials, which is a security anti-pattern. What p...

GitHubApr 17, 2026

[Exports] Dashboard CSV ZIP download broken - returns tiny corrupted files. ## Bug description Dashboard CSV export (Export dashboard > .csv) produces a ZIP file that cannot be downloaded or opened. In Chrome, clicking the download link shows "site wasn't available". In Safari, a...

GitHubApr 30, 2026

Metrics Catalog Canvas (tree view) displays metric name instead of configured label. ## Description In the Metrics Catalog, the **Canvas / tree view** displays a metric's underlying name instead of its configured label. The **List view** correctly shows the label. This is impactf...

GitHubJun 25, 2026

Scrollable chart: allow configuring the number of visible items per scroll window. ### Description When the "Enable scrollable chart" option is turned on for a bar or horizontal bar chart, there's no way to configure how many bars/items are displayed at once in the visible scroll...

GitHubMay 29, 2026

Native OpenTelemetry (OTLP) Trace Export Support. ### Description Feature Request: Native OpenTelemetry (OTLP) Trace Export Support **Background** We're running a self-hosted Lightdash instance and want to integrate it with AWS X-Ray (via OTLP) for distributed tracing and observa...

GitHubJun 12, 2026

1,665+ more analyzed mentions, full history, and theme breakdowns are part of Pro.

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Deeper analysis

  • Bug reports and reliability complaints dominated all discussion with no meaningful praise themes appearing across the four-week window.
  • Sentiment trended downward after a mid-May peak, with the final week showing the lowest score alongside the highest mention volume.
  • Opinion was divided between users filing feature requests who accepted current scope and users filing bug reports who expressed more urgent dissatisfaction.
  • Several mentions pointed to production-scale and compatibility concerns, suggesting frustration extends beyond cosmetic issues into core workflow reliability.
Praise themeMentions
Feature requests3
Strong features2
Missing features1
Compared to rivals1
Good integrations1
Complaint themeMentions
Bugs173
Missing features108
Reliability106
Feature requests91
UI frustrations57

Public discussion around Lightdash over the past four weeks has been dominated almost entirely by negative sentiment, with no meaningful praise themes surfacing across 143 total mentions. Commenters concentrated their frustration on bugs, missing features, and reliability concerns, with bug-related mentions accounting for the single largest share of discussion. The tone across sampled posts reads as systematic and technical rather than casual venting, suggesting a vocal user base that is actively using the product and hitting concrete walls rather than speaking in generalities.

The score trajectory tells a story of brief optimism that failed to hold. Discussion opened the window on a modest upward climb, peaking in mid-May before beginning a gradual slide. A small recovery in early June gave way to the lowest recorded point of the window in the final week, coinciding with the highest mention volume of the entire period. The combination of rising engagement and falling sentiment in those final weeks is a notable pattern, with commenters apparently becoming more active precisely as frustration deepened.

Sample mentions reinforce the reliability and correctness themes that dominate the complaint data. Several mentions described rendering inconsistencies, parameter handling failures, and export formatting breakdowns. One discussion flagged concurrent query execution on dashboard load as a source of infrastructure pressure, a complaint that speaks to concerns about production-scale behavior rather than surface-level polish. Another mention pointed to a desire for dbt-core v2.0 compatibility, framing the gap as a forward-compatibility risk.

Opinion was less divided than uniformly critical, though some split did appear around feature requests versus outright bugs. Commenters filing feature requests appeared to accept the product's current scope while pushing for expansion, whereas those filing bug reports expressed more urgency and disappointment. The UI complaint volume, while the smallest cluster, added a layer of frustration around day-to-day usability that compounded the reliability concerns.

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)
1,670
Mentions in selected period
319
Weeks in range
12
vs Software average (43)
Below by 16
Pricing
Free tier; paid plans available
Sources
GitHub (319)

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Lightdash

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Full comparison

Score-level preview from live weekly tracking.

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