# Which ETL provider offers the best scalability options?

When teams start evaluating which ETL provider offers the best scalability options, the answer often looks obvious early on; most tools seem to handle initial workloads just fine.

The real differences only show up later.

At smaller volumes, pipelines are manageable, data sources are limited, and failures are easier to troubleshoot. But as organizations grow, ETL quickly becomes less about moving data and more about managing complexity across pipelines, sources, and dependencies.

That’s usually when the question shifts from “does this tool work?” to “can this tool keep working without constant intervention?”

From what I’ve seen, platforms like Databricks, Fivetran, and Google Cloud BigQuery tend to handle this transition better than most, especially in cloud-heavy environments. Workato also enters the conversation when scaling isn’t just about data volume, but about how many systems need to stay connected.

Databricks: Designed for large-scale, distributed data processing, making it a strong option when both data volume and transformation complexity grow. It’s particularly useful for teams that need flexibility in how they structure and optimize pipelines.
Fivetran: Approaches scalability through automation. By handling schema changes and pipeline maintenance automatically, it reduces the operational burden as data sources increase, though that can come with trade-offs in customization.
Google Cloud BigQuery: Offers serverless scaling, which removes the need for infrastructure planning. This works well for teams that want to scale quickly without managing compute resources directly.
Workato: Focuses more on scaling integrations and workflows, which often expand alongside ETL pipelines. It becomes relevant when the challenge isn’t just data, but the growing number of systems that need to stay in sync.

What I’m still trying to figure out: Do teams sacrifice flexibility for scalability, or is there a way to balance both long-term?

##### Post Metadata - Posted at: 3 months ago - Author title: Marketer - Net upvotes: 1 ## Comments ### Comment 1 <p>I also want to know whether costs scale predictably or become harder to manage as usage increases?</p> ##### Comment Metadata - Posted at: 3 months ago - Author title: Marketer ## Related discussions - [How well does Trello scale into a larger team?](https://www.g2.com/discussions/1-how-well-does-trello-scale-into-a-larger-team) - Posted at: about 13 years ago - Comments: 6 - [Can we please add a new section](https://www.g2.com/discussions/2-can-we-please-add-a-new-section) - Posted at: about 13 years ago - Comments: 0 - [Quantifiable benefits from implementing your CRM](https://www.g2.com/discussions/quantifiable-benefits-from-implementing-your-crm) - Posted at: about 13 years ago - Comments: 4