ETL Connector Catalog

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.

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

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.

Portable supports the most common data warehouses: Snowflake, Amazon Redshift, Google BigQuery, PostgreSQL. Our roadmap for destinations includes MySQL, Clickhouse, Microsoft SQL Server, Microsoft Azure Synapse, Databricks as well as other data lakes, warehouses, and databases.

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.

Portable focuses on the hard-to-find ETL connectors that you can’t find elsewhere. Our specialty is niche tools like e-commerce platforms, applicant tracking systems, subscription billing platforms, ticketing systems, marketing tools, and vertical-specific applications.

If you need to extract data from common sources (CRM systems, ERP systems, file systems, etc.), or if you need real-time data movement, Portable isn’t the best solution. Salesforce, SAP Hana, Amazon S3, IBM, Oracle, PostgreSQL, CSV files, or JDBC / ODBC databases are great examples of integrations that we do not specialize in. Let us know if you need help identifying a solution that can help with these types of integrations. We’re more than happy to learn more about your requirements and recommend other ETL tools that specialize in these types of integrations.