🚀   Portable does more than just ELT. Explore Our AI Orchestration Capabilities 

1500+ No-Code ETL Connectors

The most prebuilt connectors of any ELT tool

Ingest data from all of your systems. No code. No infrastructure. We handle API changes, rate limits, and errors so you can breathe easy.

Need a custom connector? We build new connectors in hours or days. Send us the name of the tool and we'll dig in.

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Frequently asked questions

How does pricing work for ETL connectors?

ETL pricing should be predictable and easy to understand. We do not have data volume caps, and you do not pay more for higher data volumes. You simply pay fixed, predictable prices when you want to schedule a recurring data flow.

Who maintains and supports my data pipelines?

Portable offers a SaaS solution to load data from APIs, files, and databases into ready-to-query schemas in your data warehouse or data lake. In addition to extracting and loading the data, Portable offers hands-on support as well as automated error handling and notification functionality.

Does Portable include data transformation?

No. Portable is focused entirely on data replication. We follow the extract, load, and transform (ELT) architecture for data processing, and our specialty is extracting and loading data. With data integrations from Portable, you will never need to deploy infrastructure, read API documentation, parse JSON, handle HTTP errors, or worry about open-source frameworks when trying to load data into your analytics environment from bespoke systems.

Which destinations does Portable support?

Portable supports the most common data warehouses: Snowflake, Amazon Redshift, Google BigQuery, Clickhouse, PostgreSQL, and MySQL. We also support data lakes and Databricks through our file-based destinations (Amazon S3, Azure Blob Storage and Google Cloud Storage). Our roadmap for destinations includes DuckDB, Microsoft SQL Server, Microsoft Azure Synapse as well as other data lakes, warehouses, and databases.

What are common use cases for putting data into my data warehouse?

Data management teams use Portable for three common use cases: 1) Analytics — Building dashboards to power strategic making with a tool like Tableau or Looker, 2) Process Automation — Streamlining workflows to remove manual tasks, and 3) Data Products — Creating internal and external products that drive revenue.

Which prebuilt data connectors does Portable support?

Portable focuses on the largest applications, the hardest-to-find API connectors, and common platforms like Postgres and MySQL. We have an unparalleled number of connectors for SaaS applications, including e-commerce platforms, applicant tracking systems, subscription billing platforms, ticketing systems, marketing tools, and vertical-specific applications.