Fivetran
Fivetran is a data pipeline tool that automates connector-based data ingestion from sources into warehouses for analytics teams.
About this data
Updated June 22, 2026
Overall Pulse Score
-8 over this period
A 0-100 index summarizing the tone of 93 relevant public mentions gathered from public online communities across 22 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.
This week in public discussion
Recent discussion around Fivetran leaned heavily negative, with bugs and reliability concerns dominating the conversation by a wide margin. Commenters reported recurring issues including Terraform provider panics, invalid API responses, and connector inconsistencies following upgrades. Several mentions pointed to integration gaps and comparisons with competitors as additional frustrations. Praise was sparse, with only isolated comments touching on ease of use and specific feature highlights.
Read the deeper analysisAI-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
Most-discussed complaints
Themes across the selected period, with mention counts.
How Fivetran compares
Pulse Score over the selected period versus the top tracked competitors in Software.
Where the mentions come from
Share of the 93 relevant public mentions in the selected period, by source.
Sample public mentions
Showing 5 of 93 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.
“fivetran_connector_schedule: empty update body causes 400 InvalidInput after provider upgrade with stale schedule block in state. ## Describe the bug After upgrading the Fivetran Terraform provider, terraform apply fails for existing fivetran_connector_schedule resources with a 4...”
“Ephemeral resource support for fields with sensitive values like passwords. ### Issue: Fields like password, oauth2_secret, passphrase, etc. in the fivetra_destination and fivetran_connector are scoped as sensitive which should keep the values out of state files in the context of...”
“plugin panic during terraform refresh. **Describe the bug** Hi, Since yesterday morning, the fivetran provider in my terraform configuration started panicking whenever I attempted to run terraform refresh (or any command refreshing internally, such as plan, apply, etc) After upgr...”
“HTTP 404 error on /v1/connectors/ API endpoint. Earlier tonight (2025-03-25 7pm EDT) every Airflow DAG with a Fivetran component started failing with a HTTP 404 error: This provider does indeed use the resource /v1/connectors/ (source), but this resource does not exist in the Fiv...”
“Fivetran destination OOM, possibly because of a big batch file. ### Describe the bug There's a huge memory increase at some point during the execution, increasing memory working set around 14GB. It seems the increase happens between these two logs. Sensible information has been r...”
654+ more analyzed mentions, full history, and theme breakdowns are part of Pro.
Get ProDeeper analysis
- Bug reports and reliability complaints dominated discussion and far outnumbered any positive signals across the window.
- Sentiment trended downward overall with a brief mid-period spike that did not hold, leaving scores lower at the close of the window than at the start.
- Opinion was divided on integration quality, with isolated praise for specific connectors sitting alongside repeated accounts of broken or inconsistent connector behavior.
- A technical developer audience drove most of the conversation, with detailed regression reports after provider upgrades shaping the overall negative tone.
| Praise theme | Mentions |
|---|---|
| Good integrations | 4 |
| Feature requests | 4 |
| Strong features | 2 |
| New releases | 1 |
| Helpful support | 1 |
| Complaint theme | Mentions |
|---|---|
| Bugs | 55 |
| Reliability | 33 |
| Lacking integrations | 16 |
| Missing features | 12 |
| Feature requests | 8 |
Discussion of Fivetran across the four-week window was heavily skewed negative, with complaints outnumbering praise by a wide margin and bug reports dominating almost every corner of the conversation. Commenters raised bugs in 15 separate mentions and reliability concerns in 13, making those two themes the clear anchors of public sentiment. Integration gaps surfaced in 9 mentions, often framed as frustration that existing connectors behaved inconsistently or broke after provider upgrades. Praise was sparse and scattered, with only isolated mentions touching on ease of use, a specific integration working well, or a feature request offered in a constructive tone.
The score trajectory over the window was volatile rather than steadily declining, which itself suggested that sentiment was unstable rather than settling into a clear direction. An early low point in late April gave way to a brief spike in early May, then the score softened again, briefly recovered in mid-May around a single-mention week, and has since trended downward through mid-June. Several mentions framed issues as regressions following provider upgrades, which may explain the periodic spikes when fewer voices were present to register complaints.
Sample mentions reinforced the reliability narrative, with commenters describing Terraform provider panics, API normalization mismatches causing post-apply inconsistencies, and reconcile loop failures tied to backend deletions. These were detailed technical grievances rather than vague dissatisfaction, suggesting the audience skewing toward developers and data engineers who encountered concrete breaking behavior.
Opinion was divided most visibly around integration quality. A small number of commenters expressed that certain connectors or dbt model packages worked as intended, while a larger contingent described keyspace substring matching bugs and connector configuration issues that undercut confidence. Competitor comparisons appeared in a handful of mentions, hinting that some commenters were actively weighing alternatives, though this theme remained a minor undercurrent rather than a dominant one.
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.
Overall Pulse Score
-8 over this period
A 0-100 index summarizing the tone of 93 relevant public mentions gathered from public online communities across 22 weeks in the selected period. It measures online sentiment, not a rating of the product's quality.
Data summary
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