The best alternatives to Rivery

Data integration involves extracting, transforming, and unifying information from multiple sources to make it actionable. Integration tools are essential in a Modern Data Stack, allowing businesses to centralise data and improve decision-making.

Rivery is a SaaS platform that facilitates this process through automated pipelines. It offers connectors from various sources to destinations such as Snowflake, BigQuery, and Redshift.

Despite its strengths, Rivery may have some limitations, making it worthwhile to explore alternative solutions that might better fit your needs.

🔎 Discover Rivery’s key features, advantages, and limitations. Explore the best alternatives to choose the most suitable integration solution for your needs. 💡

Rivery is a SaaS integration platform designed to automate data ingestion, transformation, and orchestration. Launched in 2019, it originated as an internal tool within a data-driven company.

Its name refers to the concept of a river, illustrating the flow of data between sources and destinations.

Initially designed to simplify pipeline creation, Rivery has evolved to cover ETL and ELT processes in cloud environments. Over time, it has positioned itself as a comprehensive solution, incorporating orchestration, observability, and activation capabilities.

The platform highlights its flexibility and ease of use, integrating no-code/low-code functionalities and artificial intelligence. Its starter kits allow data, marketing, and BI teams to create and manage pipelines without deep technical expertise.

Rivery enables businesses to collect, consolidate, and transform data at scale. Thanks to its modular approach, the platform facilitates data flow management through different types of "Rivers".

The Source to Target River function is dedicated to ingesting and loading data into a data warehouse, data lake or BI tool.

Rivery allows businesses to automate and synchronise data flows with its Logic River feature. This function simplifies no-code pipeline creation and enables the execution of advanced processing tasks.

Rivery has evolved beyond data ingestion to include data activation. It provides advanced automation capabilities to maximise the use of integrated data.

Rivery integrates advanced control and monitoring mechanisms (DataOps) to ensure the security and compliance of data flows.

While Rivery is a powerful solution, it has some limitations depending on business needs.

Rivery follows a transparent pricing policy, offering a cost simulator with three pricing models: Starter, Professional, and Enterprise. 

Pricing is based on RPU credits (Rivery Pricing Unit), costing between $0.75 and $1.20 per credit. This usage-based model can become expensive for companies processing large volumes of data.

Unlike open-source solutions such as Airbyte or RudderStack, Rivery does not offer the same level of customisation for connectors or workflow adjustments.

Although Rivery includes SQL and Python functionalities, it is less advanced than specialised tools like dbt or Talend. Its Reverse ETL use cases require technical expertise and are less detailed than other solutions.

While Rivery offers an intuitive interface, it can become challenging to navigate when managing more complex data flows.

The platform excels in batch processing, but its real-time ingestion and synchronisation features are less powerful than those of some competitors. 

There are a number of factors to consider when choosing the best tool for your business. This table will help you see things more clearly.

There is no right or wrong solution: the choice depends above all on your needs and objectives. Let's take a look at the main alternatives to Rivery.

DinMo is the ideal alternative for businesses looking for a simple and efficient activation platform. Our Reverse ETL solution is aimed at professionals who want to make easy use of their customer data. 

Unlike developer-oriented platforms, DinMo offers a no-code approach, enabling business teams to activate their data without relying on IT.

In terms of integration, we have a large number of source-destination connectors.

👉🏼 If you want to learn more about DinMo, feel free to download our one-pager dedicated to Reverse ETL!

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Fivetran is a US-based SaaS ETL/ELT solution. The tool simplifies continuous data ingestion and synchronisation and now offers over 700 native connectors. It enables businesses to quickly integrate data from multiple sources into cloud data warehouses.

Its plug & play approach automates schema management and reduces the need for technical intervention.

💡 Ideal for companies looking for a turnkey solution, Fivetran ensures seamless and secure data transfers. The platform also supports Change Data Capture (CDC) for real-time data updates.

Airbyte is an open-source data integration platform that now offers over 550 connectors for data warehouses, data lakes, and databases such as BigQuery, Snowflake, and Redshift.

Its key differentiator? Any business can create custom connectors, making it a highly customisable solution. With a large community and a scalable architecture, Airbyte is ideal for companies looking to fully control their data flows. It provides a flexible alternative to proprietary solutions, though it requires technical expertise.

💡 Best suited for businesses with specific connector needs or those wanting full control over their integration infrastructure.

RudderStack is an open-source Customer Data Infrastructure (CDI) that offers ETL and Reverse ETL functionalities. Unlike no-code solutions, it is designed for technical teams, providing complete control over data collection and processing.

Compatible with major cloud data warehouses, RudderStack stands out for its advanced transformation capabilities and real-time event processing.

💡 RudderStack positions itself as a developer-focused CDP, with strong integration into cloud infrastructures.

Talend is a data integration and data quality management solution, particularly suited for large enterprises with high compliance and governance requirements.

By combining extraction, ingestion, and advanced transformation functions, Talend ensures data reliability and consistency at scale.

💡 Its dedicated data traceability features make it a top choice for organisations subject to strict governance regulations.

In December 2024, Boomi announced the acquisition of Rivery to strengthen its data integration and management offering. Founded in 2000, Boomi is a key player in the iPaaS (Integration Platform as a Service) market, specialising in data flow automation and integration for businesses.

This acquisition aims to integrate Rivery’s advanced ELT and CDC capabilities into the Boomi platform. The goal is to provide a unified low-code solution for cloud data ingestion, transformation, and orchestration. In the long run, this merger could lead to changes in pricing models, product roadmap, and integration with the Boomi ecosystem.

Rivery is a well-established data integration solution. However, its pricing, features, and recent acquisition by Boomi may prompt some businesses to explore alternative options. Several serious alternatives exist, each catering to specific needs in terms of flexibility, automation, or governance.

💡 The choice of tool should depend on business needs, budget, and compatibility with existing infrastructure.

For companies looking to activate their data quickly and without technical dependencies, DinMo stands out as an ideal alternative. With its intuitive interface, native integration with data warehouses, and advanced activation features, it is a strategic choice for marketing and data teams.

Don't hesitate to contact us to test our solution for free.

*Sources: Boomi and Rivery