Custom data integration
to any API

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.

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.

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.

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.

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.

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.

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.

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