At Fivetran, we believe transparency and continuous improvement are key to delivering world-class data integration solutions. That’s why we’re excited to share the results of our latest performance benchmarking initiative — an in-depth analysis of how our data pipelines handle real-world workloads at scale.

Businesses rely on seamless, high-speed data movement to drive critical insights and build bleeding-edge AI and ML models. But how well does a data pipeline truly perform when put to the test? That’s the question we set out to answer, and we’re pulling back the curtain on our findings.

Why do we benchmark against our own pipelines?

Performance benchmarking is more than just a technical exercise — it’s our commitment to transparency, reliability, and ongoing data movement optimization. By rigorously testing our data pipelines under real-world conditions, we can:

• Validate scalability to ensure our platform handles increasing data volumes with ease.
• Optimize throughput and latency to deliver faster, more efficient data movement.
• Provide customers with baseline metrics to set expectations and guide data-driven decision-making.
• Identify areas for innovation and future performance enhancements.

Key benchmarking insights

We focus on two critical data pipeline performance benchmarks:

1. Throughput testing: We analyzed how a Fivetran data pipeline processes high-volume historical data loads from Oracle to Snowflake using the industry-standard TPROC-C benchmark. We saw performance of over 500 GB per hour on large (1TB) databases — demonstrating our platform’s ability to move massive amounts of data with speed and efficiency. Learn more about our throughput benchmarking analysis.
   
   
2. Latency analysis: We assessed the speed of incremental change data capture (CDC) syncs to measure how quickly our pipeline can detect and apply updates. By optimizing sync frequency and system responsiveness, we ensure that our customers always have access to the freshest data and are able to stay on top of replicating large data volumes (~16,000 transactions per second). Learn more about our latency benchmarking analysis.

These results demonstrate our platform’s ability to handle enterprise-scale data workloads while maintaining the low-latency, high-throughput performance modern businesses need.

How can you use our performance benchmarks?

Benchmarking results provide a crucial reference point to the performance and resiliency of a data integration solution. They can help you answer key questions like:

• How fast can the pipeline ingest and sync data?
• Can it scale to meet future data demands?
• What level of performance can I expect for my use case?
• How does it compare with alternative data integration methods and tools?

With these new benchmarking insights from Fivetran, you can make informed decisions about your data integration strategy, confident in the knowledge that our high-performance pipelines have been rigorously tested and optimized to meet real-world data delivery demands.

Read the full breakdowns

We invite you to dive deeper into our benchmarking results and explore the full technical analysis of throughput and latency performance. Whether you're a data engineer, a decision-maker evaluating solutions, or simply passionate about cutting-edge data infrastructure, these reports provide valuable insights into how we ensure our platform delivers best-in-class data replication. Explore our new benchmarking hub.

At Fivetran, we’re committed to setting the industry standard for data integration performance. Stay tuned as we continue to push the boundaries of speed, scalability, and efficiency!

Test our high-performance pipelines today with a 14-day free trial.

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