Custom data integration
to any API

Build custom connections in record time.
No need to code, maintain infrastructure, or add an extra tool to your data stack.

SOC II
GDPR Compliant
ISO 27001
HIPAA

Let Rivery handle your custom data integration

Ingest data from any source

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Never worry about connector gaps.
Our custom API connection makes it easy to ingest raw data from any API into your cloud data warehouse.

Low-code setup

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Set up a custom source in minutes.
Use native support for authentication, JSON handling, pagination, rate limiting, and managed infrastructure.

Automate end-to-end workflows

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Build complete data models.
Trigger SQL or Python transformations after your ingestion dependencies. Gain full visibility to your data pipeline health.

Secure universal connection for any data source API

Authenticate

Follow the data source’s preferred authentication mode whether it’s OAuth2.0, Multi-bearer, or any other. Encrypt variables to secure your credentials in one click.

Secure data movement

Make the data flow from source to target through your chosen network setup, managed by Rivery or you. Actively monitor pipeline activity with notification updates.

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Companies like BlaBlaCar use Rivery for custom API data integration, connecting to data from two different GPS data APIs and half a day to implement.
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Extract data into your favorite data warehouse

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Let's go

Custom data integration resources at your fingertips

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Ivan Isidore

Data Director

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"There is no point in trying another solution. Rivery delivers exactly what I want it to. I don’t have to build a connector from scratch or maintain it 24/7. I have it out of the box or I can leverage Rivery’s REST API anytime to build a custom connector in a few clicks."
Read case study

How it works

1

Find the API endpoint that retrieves the data points you need. Check the required authentication mode for the API.

Review API docs

2

Create a new Action River and enter the API endpoint URL and variables.

Action River setup

3

Create a REST Source to Target River to extract data via your Action River. Load it to the target.

Target setup docs

See it in action

FAQ

What is data integration?

Data integration is the process of combining and unifying data from different sources to provide a unified view for analysis, reporting, and decision-making. It involves the extraction, transformation, and loading (ETL) of data from various systems into a central repository.

Why is data integration important?

Data integration is crucial for organizations to make informed decisions by providing a comprehensive and accurate view of their data. It facilitates improved business intelligence, better analytics, and streamlined operations by ensuring that data is consistent and up-to-date across the enterprise.

What are the common challenges in data integration?

Common challenges in data integration include missing data connectivity, data quality issues, incompatible data formats, varying data structures, and the need to deal with large volumes of data. Ensuring a seamless flow of data while maintaining data integrity is also a challenge.

What is ETL in the context of data integration?

ETL stands for Extract, Transform, Load. It is a data integration process that involves extracting data from source systems, transforming it into a suitable format, and loading it into a target system or data warehouse. ETL is a fundamental component of many data integration solutions.

How does data integration differ from data migration?

Data integration involves combining and unifying data from various sources to provide a unified view, while data migration is the process of moving data from one system or platform to another. Data integration is more focused on ongoing data synchronization and harmonization.

What is real-time data integration?

Real-time data integration refers to the process of ensuring that data is updated and synchronized across systems in near real-time. This enables organizations to make decisions based on the most current information and is essential for scenarios where up-to-the-minute data is critical.

What is a custom data source integration?

Out of the box, Rivery offers 200+ native data integrations to many different data source. These native integrations allows to setup a data pipeline to pull data from a data source into a target data warehouse or lake within a few clicks. Considering that it’s impossible to cover as native data integrations more than 30,000 SaaS applications that could serve as potential data sources, Rivery offers a simple interface to create custom connections to data sources that are not offered natively. This give users the ability to self-serve and configure custom connections against those data sources APIs and, keep on using Rivery to integrate all of their data from both common and niche data sources.
These connections are typically against data sources REST API that returns data in JSON format. However, custom connections can also be created against other formats such as XML or other APIs such as SOAP.

Can Rivery create custom data integrations for me?

While most customers opt to build their own custom integrations in a self-served fashion as detailed above, some customers ask Rivery to build new native integrations for them. Rivery can build custom data connectors for our customers through our API on-demand program. Use this form to request for a new integration

Integrate all your data

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