---
title: Reduce Your ETL Costs with Hevo’s Transparent, Optimized ELT Platform
description: Cut ETL costs by up to 40% with Hevo’s transparent pricing, optimized pipelines, lower warehouse usage, and zero-maintenance architecture.
canonical_url: https://hevodata.com/cost-optimization/
content_type: page
word_count: 427
source: https://hevodata.com/cost-optimization.md
---

# Reduce Your ETL Costs with Hevo's Transparent, Optimized ELT Platform

Hevo cuts ETL or ELT expenses by up to 40%, optimizing compute, batching, and warehouse operations, while improving pipeline performance, reducing maintenance, and keeping data consistently fresh.

## Key facts

- Rated 4.4/5 on G2 (290+ reviews).
- Used by 2,000+ companies worldwide.
- Benchmarked at 50% lower CPU usage than Fivetran.
- Event-based pricing with no unpredictable markups.

## Why teams overspend on data infrastructure

- Hidden MAR (monthly active rows) markups from legacy tools.
- Warehouse compute spikes from full reloads.
- Engineering overhead from manual maintenance.
- Unmonitored pipelines leading to runaway spend.

## The true cost of data goes beyond software

- **ELT cost:** pricing based on data volume or usage.
- **Warehouse cost:** compute consumed to process and transform data.
- **Engineering cost:** ongoing manual work to maintain and fix data flows.

## Optimizing costs across sources, pipelines, and warehouses

- **Smarter source usage:** compute scales independently per pipeline, benchmarked at 50% lower CPU usage than Fivetran, with built-in guardrails against query overload.
- **Efficient data loading:** smart batching, flexible drop-and-load options, event-based pricing with no unpredictable markups, and automatically optimized batch sizes per destination.
- **Optimized warehouse operations:** partitioning support for BigQuery, Snowflake cluster key optimization, and reduced schema drift with fewer reloads.

## Built for performance, priced for precision

- **Monitor total spend:** a complete view of usage and cost across every pipeline.
- **Automate schema fixes:** schema changes resolved instantly, without warehouse rebuilds.
- **Alerts and logs:** unusual activity detected early, before cost spikes escalate.
- **Predictable pricing:** billing based on actual consumption rather than the number of connectors.

## What customers say

- **Greg Aponte, VP of Data & Operations, Favor Delivery:** "Hevo has been a perfect balance of reliability at a competitive price. They've also been excellent partners, making our migration to the current stack seamless."
- **Ramkumar Natarajan, Senior Manager, Data Operations, ThoughtSpot:** "Hevo delivered unmatched reliability and zero downtime, reduced infrastructure costs by 85% and ETL spend by 50%, while increasing data usage by 30 to 35% through an intuitive interface."
- **Snehashish Paul, Lead Data Engineer, Zetwerk:** "After evaluating multiple tools, Hevo stood out for its cost effectiveness and ease of use. The responsive support team consistently goes the extra mile to resolve issues."

Full case studies: https://hevodata.com/customers/

## Pricing

Hevo uses transparent, event-based pricing with no credit card required to start.

## FAQ

### How much can Hevo reduce ETL costs?

Up to 40%, through optimized compute, batching, and warehouse operations, combined with transparent, event-based pricing.

### How does Hevo's compute usage compare to Fivetran?

Hevo is benchmarked at 50% lower CPU usage than Fivetran, with compute that scales independently per pipeline and built-in guardrails against query overload.

### What makes up the true cost of a data pipeline?

More than software licensing: ELT cost (based on data volume or usage), warehouse compute cost, and the ongoing engineering cost of manual maintenance.

### Does Hevo charge based on the number of connectors used?

No. Pricing is based on actual consumption, not the number of connectors.

### How does Hevo prevent unexpected cost spikes?

Through a complete view of usage and cost per pipeline, automated schema fixes that avoid warehouse rebuilds, and alerts and logs that catch unusual activity before spend escalates.