Best 9 Data Pipeline Software in 2026: Tested and Compared

Introduction

Fivetran is the best overall data pipeline software for most teams. This list covers managed ELT, open-source-friendly integration, orchestration, and cloud-native services from AWS and Azure.

Quick comparison table

Dagster and Prefect only orchestrate pipelines. They don't replace a connector tool.

1. Fivetran

Best for: teams that want pre-built connectors into a warehouse with minimal engineering work, using Fivetran.

Fivetran's managed connectors load SaaS and database data into your warehouse with very little setup. What stands out is the sheer number of pre-built connectors, and the vendor maintains all of them for you.

The trade-off is usage-based pricing, which can climb as your data volume grows. You get web and API access.

2. Airbyte

Best for: teams that want open-source flexibility or a managed cloud option, using Airbyte.

Airbyte comes as a self-hosted open-source product and as a managed cloud service. The big draw is the open-source option, backed by a large connector catalog.

Self-hosting means you handle deployment, upgrades and monitoring. That's far more work than Fivetran's hands-off model. Web and API access are both available.

3. Hevo Data

Best for: small teams that want a no-code managed pipeline, using Hevo Data.

Hevo loads data from SaaS apps and databases into a warehouse without code. Its best feature is a no-code setup that non-engineers can run themselves.

That makes it a good fit for lean teams without dedicated data engineers. It has web and API access.

4. Stitch

Best for: simple, lightweight replication into a warehouse, using Stitch.

Stitch is a cloud ELT service that replicates SaaS and database sources into your warehouse. Setup is straightforward for basic replication jobs, which is its main strength.

If you need heavy transformation or complex workflows, you'll hit its limits. Web and API access are included.

5. Matillion

Best for: teams building and transforming pipelines directly on a cloud data warehouse, using Matillion.

Matillion is a cloud-native ETL and integration platform. Its standout is visual pipeline building designed around cloud warehouses.

Unlike pure ELT loaders, it focuses on transformation work rather than just moving data. It is web-based.

6. Dagster

Best for: engineering teams that want orchestration organized around data assets, using Dagster.

Dagster treats assets, lineage and quality checks as first-class concepts. The asset-based lineage with built-in quality checks is what sets it apart.

It orchestrates pipelines rather than replacing a connector tool, so plan to pair it with something that loads data. You get web and API access.

7. Prefect

Best for: Python-leaning teams that need flexible workflow scheduling and monitoring, using Prefect.

Prefect builds, schedules and monitors data pipelines. Its monitoring and observability for running workflows is the best part.

Dagster takes an asset-first approach. Prefect is more task and workflow oriented. Web and API access are available.

8. AWS Glue

Best for: teams already on AWS that want serverless ETL, using AWS Glue.

Glue discovers, prepares and moves data inside AWS. It runs serverless, so there's no infrastructure to manage.

The catch is lock-in, plus a learning curve if you're outside the AWS ecosystem. It has web and API access.

9. Azure Data Factory

Best for: Microsoft-centric teams building pipelines in Azure, using Azure Data Factory.

Azure Data Factory is a cloud data integration service for building and orchestrating pipelines. It fits naturally into the Azure ecosystem, and that's its main selling point.

Think of it as AWS Glue for Azure shops. Web and API access are both supported.

How we picked these tools

The picks cover managed ELT, open source, orchestration and cloud-native services, so different team sizes and budgets are represented.

We judged each tool on:

• Setup effort
• Connector coverage
• Pricing model
• Scalability
• Ecosystem fit

No tool here is sponsored or owned by us. We also separated tools that move data from tools that only orchestrate it. Rankings reflect fit for the typical buyer, not feature count.

Frequently asked questions

What is data pipeline software?

It's software that moves data from sources to destinations like warehouses. It covers extraction, loading, transformation and orchestration.

What is the difference between ETL and ELT?

ETL transforms data before loading it. ELT loads first and transforms inside the warehouse. Matillion leans toward transformation work, while Fivetran focuses on loading.

Do I need an orchestrator like Dagster or Prefect?

If scheduled connector syncs cover your needs, you probably don't. Orchestration pays off when you have custom code or dependencies between jobs.

Is open source or managed better?

Open source gives you lower cost and more control, but it costs maintenance time. Airbyte offers both options.

The verdict

Fivetran is the strongest overall pick thanks to its connector breadth and low maintenance. Airbyte is the runner-up for teams wanting open source or lower cost.

Dagster is another runner-up, for engineering teams needing orchestration and lineage. If you're locked into a cloud, choose AWS Glue on AWS or Azure Data Factory on Azure.