Rivery vs. Fivetran

Rivery vs. Fivetran – Overview

About Rivery

Rivery is a unified platform for data ingestion, transformation, and workflow orchestration. Founded in 2019 and adopted by more than 450 customers, Rivery is now part of Boomi – an integration and automation leader. Rivery’s biggest differentiator is the completeness of the offering, combining the ease-of-use of a no-code SaaS with the power and flexibility of a custom-coded solution. Outside of the technical differentiation, Rivery prides itself on offering a superior customer experience.

About Fivetran

Fivetran is a managed extract and load tool that was created in 2012. Fivetran is headquartered in Oakland, California with offices around the world. They have a large customer base and are considered an easy-to-use choice for their ease of connection. Fivetran charges users on monthly active rows (MAR), which is the number of unique primary keys moved from source to target within one calendar month.

Rivery vs. Fivetran – Features

Cloud native and fully managed

Native connectors 200+ 500+

Connect to any API source Not natively. Requires Cloud function.

Built-in workflow orchestration Yes. Manage dependencies within and between pipelines with conditional logic, containers, loops and advanced scheduling. No. Requires Airflow/other to get the job done.

Built-in data transformation Yes. SQL and Python. No. Requires dbt/other to get the job done.

Reverse ETL Yes. Push insights to any app. No. Can’t sync data back to apps.

Built-in data model templates Yes. Ready-made data model templates that unify multiple sources. Siloed data model templates for single source only.

Database replication Full table and incremental via change data capture or custom SQL for any unique replication logic. Full table and incremental via change data capture or limited teleport snapshot dependent of a primary key.

Granular control over data replication Yes. Including control over the destination schema, granularity and replication schedules. Limited

Support SLAs

Developer Friendly Yes. Multiple environments & built in deployment mode, version control, robust API & CLI. API and version control for transformation only.

Multi-tenant support Yes. Native environments with RBAC for each. No. Requires separate accounts with management of each.

Security HIPAA, GDPR, SOC 2, ISO 27001 HIPAA, GDPR, SOC 2, ISO 27001, PCI

Pricing Based on true data size or # runs. Differentiated for databases and apps for greater efficiency Based on rows (even if the rows have very few columns)

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Rivery vs. Fivetran – Product

Rivery

Rivery’s SaaS offering provides several data stack products in a single platform. This includes ELT (data ingestion) with over 200+ fully-managed connectors and an easy to use low-code custom connector, advanced workflow orchestration, data operations (full support for the development lifecycle including automated deployments from dev to prod), reverse ETL (data activation), and full Python support.

Rivery’s workflow orchestration can manage push-down SQL transformation, Python scripts, or integration with 3rd party transformation tools such as dbt, Coalesce.io, or SQL scripts/jobs stored within the Data Warehouse/Lakehouse. 

Fivetran

Fivetran is an EL (extraction and load) tool, where the transformation component of the ETL/ELT process is only possible via 3rd party tools such as dbt or Coalesce.io.

Fivetran provides hundreds of native connectors with support for all main databases and data warehouses as targets. More than half of Fivetran’s connectors are Lite connectors built for a specific use case and with limited end-points support. Custom connectors are possible with Fivetran, but they must be coded via 3rd party Cloud Functions, which are then called by Fivetran. These Cloud Functions come at an additional cost to run and require maintenance. Building and maintaining custom connectors in-house and outside of Fivetran can be done to handle custom data needs outside of Fivetran’s capabilities. 

Rivery vs. Fivetran – Pricing

Rivery

Rivery provides both, on-demand pay-as-you-go pricing, and annual contracts.

Pricing is based on a credit system, which starts at $0.75 per credit. Database source pricing is based on the volume of replicated data (i.e. data being moved). API-source (i.e. SaaS apps) pricing is based on the number of pipeline executions. Considering that replicating data from databases is faster and cheaper than replicating data from API-sources, Rivery offers differentiated pricing between those with the goal of passing those savings to Rivery’s customers. 

Rivery doesn’t charge by the number of databases or tables you’re loading into your data warehouse, nor does it charge by the number of rows or sync frequency.

All Rivery pricing plans include: 

• Access to all 200+ fully-managed connectors 
• Unlimited users 
• Environments (i.e. Dev/Prod) 
• Reverse ETL 
• Change Data Capture for high-volume database replication.

Learn more about Rivery pricing on Rivery’s pricing page. Estimate your Rivery pricing with our pricing estimator.

Fivetran

Fivetran’s pricing is consumption based. Their pricing model is controlled by monthly active rows (MAR), which is the number of unique primary keys moved from source to target within one calendar month. For some use cases this can make Fivetran’s pricing high and difficult to estimate (i.e. when the target schema generated by Fivetran may include include multiple tables impact by a single change in the data source hence generating multiple MARs for the same change).

Fivetran model is changing as of March 2025 with the biggest change being MARs counted per connector and not across all connectors.  

Fivetran offers a 14-day free trial for new users. 

Switch from Fivetran to Rivery

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Rivery vs. Fivetran – Support

Rivery

Rivery offers 24/7 global support as well as onboarding services and dedicated customer success services, which vary by plan. Support is engineering led and year over year, Rivery has been awarded “Easiest to do Business with” by G2 in the category of ETL tools. 

Rivery’s G2 user rating for quality of support is 9.4/10, the highest in its category with an industry average of 8.5/10 for ETL tools on G2. 

Fivetran

Fivetran offers support through in-platform support tickets as well as the option to purchase premium support.

Fivetran’s G2 user rating for quality of support is 8.0/10 with an industry average of 8.5/10 for ETL tools on G2.

Rivery vs. Fivetran – User Reviews

4.7

Overall G2 ranking 

4.2

9.7

Support 

8.0

9.6

Extraction

9.1

9.4

Loading 

8.9

9.3

Transformation

8.2

9.7

Automation

9.0

9.5

Scalability

8.7

8.0

Reporting

7.7

Alan White

Senior Director, Strategic Insights & Data Analytics

“Rivery gives our data engineering team much more flexibility for all of our data sources, even non-native sources, and allows for much more collaboration and efficiency within our warehouse, and the price point allows us to scale without compromising our data strategy.”

See how ASA switched over

Rivery vs. Fivetran – Summary

Fivetran

Fivetran is a good option for teams looking for an easy-to-use data integration tool. If you are looking to implement an end-to-end ETL/ELT solution you’ll have to pair Fivetran with other tools. For example, you’ll need to leverage different tools like, dbt for transformation, Airflow for orchestration, and Hightouch or Census for reverse ETL.

Key benefits when evaluating Fivetran include: 

• Ease of connection
• ERD/normalized schemas for each SaaS solution
• Embedded dbt Core with custom dbt models

Limitations of Fivetran as an ETL/ELT tool include: 

• No proprietary transformation capabilities
• Custom connectors need to be built and maintained via Cloud Functions
• No automation of data pipelines promotion from dev to prod
• No reverse ETL capabilities
• No orchestration capabilities 

Rivery

Rivery is an end-to-end platform rather than just an extract and load tool, like Fivetran. Rivery offers data orchestration, data transformation, and reverse ETL capabilities for every plan out of the box. This enables data teams to simplify their data stack and achieve more with fewer tools.

In regards to data transformation, Rivery offers ETLT processes, where you can complete in-flight transformations of data using Rivery’s industry-first Python integration as well as push-down SQL transformations or integration with dbt. 

For users looking for enterprise-ready solutions, Rivery comes with a number of developer capabilities, including: 

• Built-in Rivery version history management
• Context-sensitive variables
• Multiple environments
• Metadata collection
• Audit logging

When evaluating connectors and customizability, Rivery offers a simple custom connector to connect to any API source without the need for an external cloud function. Fivetran connections are tied to their best practices as it pertains to datasets, which in certain use cases could create connection inflexibility and additional downstream trasnformation work. 

Finally, Rivery’s differentiated pricing model between replication of database data vs. API-source data, generates greater savings for data teams.