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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 June 29, 2026

Overall Pulse Score

39
Pulse Score

No change over this period

A 0-100 index summarizing the tone of 562 relevant public mentions gathered from public online communities across 23 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 Confluent over the recent period leaned heavily negative, with bugs and reliability issues dominating the conversation across 74 mentions. Commenters flagged problems including broken serializer releases, schema registry timeouts causing crash loops, and protobuf schemas silently dropping data. Several threads raised concerns about integration gaps and missing features, while praise was limited to a small handful of mentions touching on integrations and feature requests. Overall sentiment reflected a community dealing with a notable volume of technical frustrations.

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 features29
Good integrations23
Compared to rivals12
Reliability8
Feature requests6

Most-discussed complaints

Bugs250
Reliability134
Missing features87
Lacking integrations67
Feature requests26

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 562 relevant public mentions in the selected period, by source.

GitHub100% (562)

Sample public mentions

Showing 5 of 562 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

Race condition when doing .assign(INVALID_OFFSET) followed by .assign(explicit_offset). confluent-kafka: v2.13.0 We have a use case where we want to start consuming at specific offsets. These offsets are stored outside of Kafka (i.e. not using the consumer group functionality). T...

GitHubFeb 3, 2026

Race condition: rd_kafka_assign() with RD_KAFKA_OFFSET_INVALID followed by rd_kafka_assign() with explicit offsets — stale OffsetFetchResponse overwrites explicit offsets. I am cross-posting this from the Python client repository as the debug logs indicate the race condition is o...

GitHubMar 5, 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

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

2,064+ more analyzed mentions, full history, and theme breakdowns are part of Pro.

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Deeper analysis

  • Bug reports dominated the conversation and far outnumbered any positive signals across the window.
  • Sentiment followed an unstable trajectory, briefly recovering in early June before declining again to near-window lows by the final weeks.
  • Opinion was divided most sharply around the schema registry, with some commenters noting progress while others described broken releases and timeout failures.
  • Feature gaps and integration limitations drew sustained criticism alongside reliability concerns, broadening the negative tone beyond bugs alone.
Praise themeMentions
Strong features29
Good integrations23
Compared to rivals12
Reliability8
Feature requests6
Complaint themeMentions
Bugs250
Reliability134
Missing features87
Lacking integrations67
Feature requests26

Public discussion of Confluent over the four-week window was heavily dominated by complaints, with bug reports accounting for the single largest cluster of mentions by a wide margin. Commenters raised issues spanning serializer releases, schema registry timeouts, and protobuf schema handling, painting a picture of a platform where reliability and correctness were persistent concerns. Reliability-themed mentions formed the second largest complaint group, and several discussions pointed to cold-start failures and crash-loop behavior as sources of frustration. Positive signals were nearly absent, with praise-coded mentions numbering just two across the entire window, suggesting that enthusiastic or satisfied voices were largely quiet in this period.

The score trajectory tells a story of instability rather than steady decline or recovery. Discussion opened the window at a middling level before dropping sharply in the second week, then partially recovered, then climbed briefly to its highest point in the window during early June when mention volume was also at its lowest. That rebound did not hold, and the final two tracked periods showed the score falling back and settling near its lowest point in the window. The pattern suggests that sentiment improved somewhat when discussion volume thinned, but heavier engagement periods tended to surface more critical voices.

Feature gaps and integration shortcomings each drew a meaningful number of mentions, and several commenters framed these not as minor wishes but as blockers, including requests around repository fallback behavior and database backend flexibility. Performance concerns, while less numerous, added to an overall tone of a platform straining against real-world deployment demands.

Opinion was most divided around the schema registry specifically. Some discussion acknowledged active development and referenced recent platform updates, while other commenters described broken releases and timeout failures in the same component, creating a split between those tracking progress and those experiencing regressions. The gap between praise volume and complaint volume was stark enough that any optimism in the conversation was largely drowned out.

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)
2,069
Mentions in selected period
562
Weeks in range
23
vs Coding average (46)
Below by 7
Pricing
Free tier; paid plans available
Sources
GitHub (562)

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