G2

Henry N.

Data Engineer

Mid-Market (51-1000 emp.)

8/22/2026

"Real-Time Streaming and Predictable Costs Made Estuary a Scaling Win"

5/5

What do you like best about Estuary?

Switching our data pipelines from Fivetran to Estuary was one of the best infrastructure decisions we’ve made. It drastically lowered our monthly bill while also giving us true real-time streaming capabilities. Migrating to Estuary immediately stabilized our spend with a far more predictable, volume-based model.

Moving away from delayed batch syncs to continuous, low-latency streaming completely upgraded our data freshness, letting operational data flow virtually instantly. Estuary also gives us the flexibility to customize schemas and handle in-flight transformations directly within the pipeline, which has helped us save on downstream compute costs.

While the initial setup and schema mapping required deliberate effort, day-to-day management has been remarkably smooth and genuinely “set-and-forget.” Ultimately, Estuary delivered the blend of real-time performance, developer control, and budget relief we needed as we scaled. Review collected by and hosted on G2.com.

What do you dislike about Estuary?

What I don’t like about Estuary is the UI. At times it isn’t very intuitive. For instance, when I’m backfilling records, the progress details aren’t very clear and are mostly shown as a percentage, which doesn’t always help me understand what’s actually happening. The logs are also pretty noisy and hard to follow, especially when I’m troubleshooting. Since I’ve had to work through capture failures, binlog position changes, and backfills during our migration, clearer progress indicators and more structured, easier-to-scan logs would make the overall experience much better. Review collected by and hosted on G2.com.

What problems is Estuary solving and how is that benefiting you?

Estuary has been highly effective in supporting our cost-reduction strategy while still delivering a robust, reliable, high-quality data ingestion service. Migrating from Fivetran to Estuary helped us significantly reduce our data pipeline costs without sacrificing reliability or performance.

Data ingestion and loading have been largely seamless, and the platform has handled our production workloads well. We’ve also found the Slack support team responsive and helpful, especially when troubleshooting issues related to captures, backfills, binlog positions, and migrations. The AI-powered support through Kapa.ai has been useful as well, letting us quickly find answers and navigate the documentation.

Overall, Estuary strikes a strong balance between cost efficiency, reliability, performance, and developer support, and it has become a valuable part of our modern data stack. Review collected by and hosted on G2.com.