CloverETL vs Rivery comparison

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CloverETL

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Executive SummaryUpdated on Dec 19, 2024

CloverETL and Rivery compete in the data integration space. Rivery has a competitive edge due to its features and functionality, which outweigh CloverETL's pricing advantages.

Features: CloverETL provides an advanced ETL engine with strong data transformation capabilities, supports both on-premise and cloud environments, and offers adaptability for complex data workflows. Rivery offers a comprehensive "DataOps" solution with seamless cloud integration, automated workflows, and real-time data streaming.

Ease of Deployment and Customer Service: CloverETL has flexible deployment options but involves a more complex learning curve. Its customer service is responsive but lacks automation. Rivery features an intuitive cloud-native deployment with faster setup and comprehensive customer service backed by automated support.

Pricing and ROI: CloverETL is more budget-friendly with lower initial costs, offering good ROI to cost-conscious buyers. Rivery is more expensive but justifies its costs with enhanced features and strategic flexibility, promising significant ROI for enterprises needing advanced data operations.

To learn more, read our detailed CloverETL vs. Rivery Report (Updated: March 2026).

CloverETL vs. Rivery

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

CloverETL

Ranking in Data Integration

57th

Average Rating

7.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Visualization (34th)

Rivery

Ranking in Data Integration

26th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Migration Tools (3rd), Cloud Migration (11th), Cloud Data Integration (15th)

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of CloverETL is 0.8%, up from 0.1% compared to the previous year. The mindshare of Rivery is 0.6%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Rivery	0.6%
CloverETL	0.8%
Other	98.6%

Data Integration

Featured Reviews

it_user856614

Lead Programmer at a healthcare company with 10,001+ employees

Very easy to schedule jobs and monitor them, however we run out heap space even with a high allocation

Flexibility: We can bring in data from multiple sources, e.g., databases, text files, JSON, email, XML, etc. This has been very helpful Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility. Server features for scheduler: It is…

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Anup Dhungel

CDL at Ycotek

Training has boosted custom ETL scripting and now debugging complex incremental loads needs work

The best feature Rivery offers is the ability to build custom or user-defined functions. You can even develop Python scripts to perform transformations on your data frames. This flexibility allows you to implement custom requirements, making Rivery more versatile than relying solely on in-built functions. Regarding features such as the interface, scheduling, or connectors, I found that as of 2022 when I last used it, the monitoring was good, although the debugging process for custom scripts was somewhat challenging. If we encountered issues with custom-built scripts, debugging was difficult since it used to send standard errors rather than specific ones. From what I recall, monitoring worked well, and we could connect to multiple relational and other sources, which was advantageous. A few of my colleagues and I were able to earn certifications on Rivery, which motivated us, even though we could not pursue or implement Rivery project for clients. The learning experience was very valuable as we had around seven or eight resources participating in those trainings, and they were all excited to learn about this new tool for us at the time.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"We switched to CloverETL because of its flexibility to connect to various data sources and no dependence on native language and ease of use."

"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."

"No dependence on native language and ease of use."

"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."

"Familiar, intuitive GUI coming from a Java development background, in-depth, descriptive, and well-laid-out documentation, responsive support through forums directly from Clover staff, a wealth of customizable pre-defined components, descriptive logging for error messages, and ease of install with a light footprint make it very effective to use."

"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."

"The main benefit Rivery brought to my organization was the time we were able to save on development, and by using all these automation features provided by Rivery together with integration to Snowflake, we were able to solve problems."

"The process of using Rivery has worked very smoothly for me, and I found the tool very easy to use, allowing me to gain a lot of insights."

"The solution's most valuable features are that it is quick to connect and simple to use."

"Anyone looking into using Rivery should know it is a great product."

"Rivery has positively impacted my organization by helping me streamline my data ingestion and transformation processes, especially in combination with Snowflake."

"Rivery has positively impacted my organization by enabling us to create a stable pipeline, and we can expand the variety of the data sources as we go very easily, with no worries, and with a lot of confidence in the fact that it can be done."

"Connects to many APIs in the market and new ones are being added all the time."

"This solution has many data sources; they connect to many, many APIs in the market and new ones are being added all the time."

More Rivery pros

Cons

"Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough."

"Needs easier automated failure recovery, more and more intuitive auto-generated or filled-in code for components, and easier or more automated sync between CloverETL Designer and CloverETL Server."

"Needs: easier automated failure recovery; more, and more intuitive auto-generated/filled-in code for components; easier/more automated sync between CloverETL Designer and CloverETL Server."

"Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough."

"Its documentation could be improved."

"I think lineage and an impact analysis or logic dependency are lacking."

"As an end user of Rivery, I would like to see it be less commercial for users."

"Lineage and an impact analysis or logic dependency are lacking."

"Rivery can be improved by generally investing a bit more depth into the product, mainly in orchestration and specific features comparable to mature products."

"Pricing is a little steep for smaller organizations, I would say. The product's pricing model could be a little bit better."

"My experience with pricing, setup cost, and licensing was unfortunately not so good in my recent data project."

"The key challenges I recall were related to the incremental merging logic, which was not functioning properly."

"I think Rivery could be improved by having more analytical features inside."

Pricing and Cost Advice

Information not available

"I rate the tool's price as six out of ten if I consider the lowest price to be one and the highest price to be ten."

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Top Industries

By visitors reading reviews

Construction Company

27%

Manufacturing Company

13%

Computer Software Company

10%

Retailer

Construction Company

15%

Manufacturing Company

12%

Comms Service Provider

10%

Real Estate/Law Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	1
Large Enterprise	3

Questions from the Community

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What is your experience regarding pricing and costs for Rivery?

I do not know about the experience with pricing, setup cost, and licensing as it was not part of my job.

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What needs improvement with Rivery?

I think Rivery could be improved by having more analytical features inside. I do not know if in the latest updates there are some AI tools to use or something related to that. Sometimes I wish for ...

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What is your primary use case for Rivery?

My main use case for Rivery involves collecting data from different sources, and with Rivery, I am able to put them together and load the data directly in Snowflake.

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Product Reports

Data Integration

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Overview

CloverETL is a rapid, end-to-end data integration solution. Businesses choose CloverETL for its usability and intuitive controls, along with its lightweight footprint, flexibility, and processing speed. Achieving true, rapid data integration means much more than just raw data processing power. Rapid refers to an end-to-end process that begins the moment a data-related problem is recognized to the point when the data is in the right place and form to be analyzed and monetized.

Javlin

Rivery is a serverless, SaaS DataOps platform that empowers companies of all sizes around the world to consolidate, orchestrate, and manage internal and external data sources with ease and efficiency.

By offering comprehensive data solutions and partnering with complementary technology providers, including Google, Snowflake, Tableau, and Looker, Rivery enables data-driven companies to build the perfect ecosystems for all their data processes.

Sample Customers

IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA

Information Not Available

CloverETL vs. Rivery