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Confluent

Confluent is a data streaming platform built on Apache Kafka that helps developers and enterprises manage real-time data pipelines.

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 20, 2026

Overall Pulse Score

37
Pulse Score

-3 over this period

A 0-100 index summarizing the tone of 307 relevant public mentions gathered from public online communities across 14 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

Sentiment around Confluent remained negative over the recent period, with bugs dominating the conversation by a wide margin across 59 mentions. Commenters raised repeated concerns about reliability issues including schema registry timeouts, connector failures with newer JDK versions, and a broken serializer release. Several discussions flagged missing features and unfavorable comparisons to alternatives. Praise was sparse, with only isolated mentions of a promising integration and a feature request treated positively.

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 features17
Good integrations13
Compared to rivals5
Reliability4
Performance3

Most-discussed complaints

Bugs123
Reliability61
Missing features48
Lacking integrations48
Feature requests19

Themes across the selected period, with mention counts.

How Confluent compares

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

Where the mentions come from

Share of the 307 relevant public mentions in the selected period, by source.

GitHub99% (305)
Hacker News1% (2)

Sample public mentions

Showing 5 of 307 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.

“[BUG] v1.5.0 regression: ClusterAuthorizationException from describeLogDirs invalidates AdminClient, breaking Confluent Cloud clusters. ### Issue submitter TODO list - [x] I've looked up my issue in FAQ - [x] I've searched for an already existing issues here - [x] I've tried runn...”

GitHubApr 22, 2026

“SASL/SCRAM authentication fails with Apache Kafka 4.0 brokers due to outdated Confluent.Kafka / librdkafka dependency. ### TL;DR The extension pins Confluent.Kafka 2.4.0 (bundling librdkafka 2.4.0), which has a SASL/SCRAM nonce bug (librdkafka#4895). Apache Kafka 4.0 tightened se...”

GitHubApr 27, 2026

“Integration tests are leaking test dependancies into downstream Go modules. Eg https://github.com/confluentinc/confluent-kafka-go/blob/b88a91bc1466e0a68b280fd3edc80e94510c826a/kafka/integration_test.go#L33 adds the github.com/docker/docker and github.com/testcontainers/testcontai...”

GitHubMay 11, 2026

“Value window for Consumer only two lines height since update to "Confluent" 253.25910.0. Just got the new update to "Confluent" (Plugin Renaming) version 253.25910.0 on windows 11. Now, the window to displaying the messages value of a consumer is hillariously small and cannot be ...”

GitHubApr 8, 2026

“Optional DLQ routing for all deserialization errors without shutting down Kafka Streams. # Issue: Optional DLQ routing for all deserialization errors without shutting down Kafka Streams Description While operating Kafka Streams applications, we often encounter situations where **...”

GitHubMar 30, 2026

2,066+ more analyzed mentions, full history, and theme breakdowns are part of Pro.

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Deeper analysis

  • Bug reports dominated discussion by a large margin, with schema registry and connector failures drawing the most pointed commentary.
  • Sentiment trended downward across the window after a brief mid-period recovery, ending the recent weeks in a softer position than where it started.
  • Opinion was most divided around integration, where a small group of positive voices contrasted with a larger cluster citing gaps and failures.
  • Competitor comparisons appeared as a recurring theme, suggesting a portion of commenters are actively evaluating alternatives.
Praise themeMentions
Strong features17
Good integrations13
Compared to rivals5
Reliability4
Performance3
Complaint themeMentions
Bugs123
Reliability61
Missing features48
Lacking integrations48
Feature requests19

Public discussion of Confluent over the reviewed four-week window was heavily skewed toward frustration, with bug reports dominating the conversation by a wide margin. Of the complaint themes identified, bugs accounted for the single largest cluster of mentions, followed by reliability concerns and missing features. Commenters flagged issues ranging from broken serializer releases causing dependency collection failures to connector tasks crashing under newer JDK versions, and several mentions described schema registry timeouts producing crash-loop behavior in production-adjacent environments. The overall tone across sampled discussions was technical and pointed, with little praise surfacing to offset the volume of problem reports.

The score trajectory tells a story of instability rather than steady decline. Discussion opened the window at a middling level before dropping sharply in the second week, recovering modestly, then climbing to a relative high before sliding back down across the final weeks. That recovery in late May and early June appeared brief, and sentiment had softened again by late June and into July, suggesting the rebound did not reflect a durable improvement in how commenters perceived the product.

Opinion was divided most clearly around integration, where a small number of commenters described positive experiences while a larger group cited integration gaps or outright failures as pain points. Competitor comparisons also surfaced as a recurring undercurrent, pointing to an audience that is actively weighing alternatives. The schema registry specifically drew attention from multiple angles, with commenters raising compatibility enforcement failures, timeout behavior, and protobuf handling bugs as separate but overlapping concerns.

Overall the tone of public discussion reflected a community that engages deeply with the product technically but carries real skepticism about release quality and operational predictability. Positive signals were sparse and narrowly scoped, while the complaint surface was both broad and specific.

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)
2,071
Mentions in selected period
307
Weeks in range
14
vs Coding average (47)
Below by 10
Pricing
Free tier; paid plans available
Sources
GitHub (305), Hacker News (2)

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Trainual

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Full comparison

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