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DuckDB

DuckDB is an open-source in-process analytical database designed for data analysts and developers running SQL queries on local data.

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

42
Pulse Score

+4 over this period

A 0-100 index summarizing the tone of 1,156 relevant public mentions gathered from public online communities across 25 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 DuckDB over the recent period was dominated by bug and reliability complaints, which together accounted for the large majority of negative mentions, with commenters flagging specific issues like IOException handling and internal column leaks in partitioned output. Some positive sentiment still surfaced, with several mentions praising integration possibilities and ease of getting started, and a few users shared enthusiastic early projects inspired by the embedded database model. Overall community tone skewed cautious, reflecting concerns that outpaced the feature appreciation 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.

Ringed points mark weeks with unusually high discussion volume, more than double this product's typical week.

Most-discussed praise

Strong features197
Good integrations120
Performance101
Easy to use63
Feature requests46

Most-discussed complaints

Bugs586
Reliability369
Performance112
Missing features107
Lacking integrations38

Themes across the selected period, with mention counts.

How DuckDB compares

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

Where the mentions come from

Share of the 1,156 relevant public mentions in the selected period, by source.

GitHub90% (1,045)
Hacker News10% (111)

Sample public mentions

Showing 5 of 1,156 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.

Failed to bind column reference... inequal types (VARCHAR != DATE). ### What happens? Just upgraded from 1.4.4.0 (on which issue not occurs) to 1.5.1.0. In case of several windows function based queries getting same type errors: SQL Error: Invalid Input Error: Attempting to execu...

GitHubApr 9, 2026

INTERNAL Error: ExtractIndexStorageInfo - Opening v1.1.3 file in v1.5.0. ### What happens? I have encountered an issue when opening a database from DuckDB v1.1.3 in v1.5.0. When attempting to open the file in v1.5.0, the engine fails during the initial attachment/metadata load St...

GitHubMar 18, 2026

curl backend doesn't use system certificates on MacOS. I have duckdb installed from homebrew on MacOS. I just installed the 1.5.0 update, which enabled the curl backend by default. We use the httpfs extension for accessing S3 compatible object stores with self-signed certificates...

GitHubMar 11, 2026

Issue found on page 'Spatial Extension'. Please describe the problem you encountered in the DuckDB documentation and include the "Page URL" link shown below. Note: only create an issue if you wish to report a problem with the DuckDB documentation. For questions about DuckDB or th...

GitHubApr 8, 2026

INTERNAL Error: Information loss on integer cast in CachingFileHandle when reading multi-file Parquet from S3. ### What happens? When reading a large multi-file Parquet dataset from S3 using httpfs (e.g., Overture Maps building footprints), DuckDB crashes with: The negative value...

GitHubMar 27, 2026

6,465+ more analyzed mentions, full history, and theme breakdowns are part of Pro.

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Deeper analysis

  • Bug and reliability complaints dominated the discussion and set a frustrated overall tone across the window.
  • Sentiment trended softly downward over the final weeks as mention volume surged, continuing a slight decline from the prior period.
  • Performance and integration quality divided opinion most sharply, each appearing in both praise and complaint themes.
  • A thread of genuine enthusiasm from hobbyists and practitioners ran alongside the criticism, keeping the conversation from being uniformly negative.
Praise themeMentions
Strong features197
Good integrations120
Performance101
Easy to use63
Feature requests46
Complaint themeMentions
Bugs586
Reliability369
Performance112
Missing features107
Lacking integrations38

Discussion around DuckDB over the four-week window was dominated by bug reports and reliability concerns, which together accounted for the large majority of complaint-side mentions. Commenters flagged a range of issues from unhandled exceptions during complex geometry processing to internal alias columns leaking into output files, and the volume of these reports grew sharply as mention counts climbed in the final two weeks of the window. The sheer weight of bug and reliability noise shaped much of the overall tone, giving the conversation a frustrated, troubleshooting character even when underlying enthusiasm for the product remained visible beneath it.

On the praise side, feature appreciation and integration positives were the leading themes, and several mentions reflected genuine excitement about DuckDB's embedded nature and its fit within data engineering workflows. Commenters described personal projects and community experiments inspired by the product, and there was a recurring thread of favorable comparisons against alternatives. Performance drew both praise and complaint mentions in notable numbers, suggesting divided experience depending on workload or context.

The score trajectory across the window showed considerable volatility before settling into a narrower, modestly declining range. Early weeks saw wide swings between lower and higher sentiment readings on relatively small mention counts, which limited the reliability of those signals. Once mention volume surged in the final three weeks, sentiment stabilized in a tighter band but trended softly downward, ending the window slightly below where it had been the prior period. The drop from the previous aggregate score was small but consistent with that late drift.

Opinion was most visibly divided on performance, which appeared in both top praise and top complaint theme lists, and on integration quality, where positive and negative threads ran in parallel. Some commenters framed integration stories as a strength, while others pointed to gaps. Feature requests were also present in meaningful numbers, suggesting an engaged user base with specific unmet expectations rather than disengagement.

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)
6,470
Mentions in selected period
1,156
Weeks in range
25
vs Software average (42)
On average
Pricing
Free
Sources
GitHub (1,045), Hacker News (111)

Compare with another tool

DuckDB

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Trainual

88

Full comparison

Score-level preview from live weekly tracking.

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