Rivery vs StreamSets comparison

Rivery and IBM are both solutions in the Data Integration category. Rivery is ranked #34 with an average rating of 8.0, while IBM is ranked #15 with an average rating of 8.4. Rivery holds a 0.4% mindshare in DI, compared to IBM’s 1.6% mindshare. Additionally, 100% of Rivery users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Rivery

Read 2 Rivery reviews

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217 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,378 Views
1,645 Comparison Views

100% willing to recommend

Rivery

StreamSets

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Executive SummaryUpdated on Dec 19, 2024

StreamSets and Rivery are leading solutions in the data integration category, each with distinct strengths. StreamSets tends to excel with its real-time data processing and automation capabilities, while Rivery's cloud-native approach provides a scalable solution for seamless integration.

Features: StreamSets supports real-time data processing, offering robust pipeline management and extensive connectors for various data sources. It specializes in automation capabilities, allowing users to effectively manage complex data workflows. Rivery, designed with a cloud-native architecture, focuses on efficient data extraction and transformation, providing scalability and adaptability in modular data workflows.

Ease of Deployment and Customer Service: StreamSets offers flexible deployment models, including on-premises and cloud-based options, ensuring a tailored implementation strategy. Its comprehensive support resources are well-regarded. Rivery emphasizes cloud deployment, allowing smooth integration with current cloud services. It is recognized for responsive customer service within cloud environments.

Pricing and ROI: StreamSets features unique pricing, usually necessitating a considerable initial investment, with potential long-term ROI through increased pipeline efficiency. In contrast, Rivery follows a subscription-based model that aligns with cloud service frameworks, offering lower starting costs and predictable expenses. StreamSets promises value via pipeline flexibility, while Rivery provides a cost-effective, scalable solution with transparent ongoing costs.

To learn more, read our detailed Rivery vs. StreamSets Report (Updated: April 2025).

Buyer's Guide

Rivery vs. StreamSets

April 2025

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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

Rivery

Ranking in Data Integration

34th

Average Rating

8.6

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Migration Tools (4th), Cloud Migration (13th), Cloud Data Integration (19th)

StreamSets

Ranking in Data Integration

15th

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2025, in the Data Integration category, the mindshare of Rivery is 0.4%, up from 0.1% compared to the previous year. The mindshare of StreamSets is 1.6%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

reviewer2335923

Senior Operations Analyst at a computer software company with 201-500 employees

Provides users with an initial setup phase, which is fairly simple to manage

I don't know what could be improved in terms of what my company was used to previously or after moving over to Rivery. I have not had much experience with platforms other than Rivery. For me, Rivalry was a way to step up from what we used. To be honest, I am not really sure what improvements could be made in Rivery. Pricing is a little steep for smaller organizations, I would say. The product's pricing model could be a little bit better. I am not aware if there are additional packages for smaller organizations, but if there are no packages available, then maybe that would be a good way to introduce something new in the tool.

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Karthik Rajamani

Principal Engineer at Tata Consultancy Services

Integrates with different enterprise systems and enables us to easily build data pipelines without knowing how to code

There are a few things that can be better. We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back. There are certain features that are only available at certain stages. For example, HTTP Client has some great features when it is used as a processor, but those features are not available in HTTP Client as a destination. There could be some improvements on the group side. Currently, if I want to know which users are a part of certain groups, it is not straightforward to see. You have to go to each and every user and check the groups he or she is a part of. They could improve it in that direction. Currently, we have to put in a manual effort. In case something goes wrong, we have to go to each and every user account to check whether he or she is a part of a certain group or not.

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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

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

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

"What I love the most is that StreamSets is very light. It's a containerized application. It's easy to use with Docker. If you are a large organization, it's very easy to use Kubernetes."

"I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks."

"The ability to have a good bifurcation rate and fewer mistakes is valuable."

"For me, the most valuable features in StreamSets have to be the Data Collector and Control Hub, but especially the Data Collector. That feature is very elegant and seamlessly works with numerous source systems."

"StreamSets Transformer is a good feature because it helps you when you are developing applications and when you don't want to write a lot of code. That is the best feature overall."

"The ETL capabilities are very useful for us. We extract and transform data from multiple data sources, into a single, consistent data store, and then we put it in our systems. We typically use it to connect our Apache Kafka with data lakes. That process is smooth and saves us a lot of time in our production systems."

"The most valuable features are the option of integration with a variety of protocols, languages, and origins."

"The Ease of configuration for pipes is amazing. It has a lot of connectors. Mainly, we can do everything with the data in the pipe. I really like the graphical interface too"

More StreamSets pros

Cons

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

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

"One issue I observed with StreamSets is that the memory runs out quickly when processing large volumes of data. Because of this memory issue, we have to upgrade our EC2 boxes in the Amazon AWS infrastructure."

"Visualization and monitoring need to be improved and refined."

"The monitoring visualization is not that user-friendly. It should include other features to visualize things, like how many records were streamed from a source to a destination on a particular date."

"One thing that I would like to add is the ability to manually enter data. The way the solution currently works is we don't have the option to manually change the data at any point in time. Being able to do that will allow us to do everything that we want to do with our data. Sometimes, we need to manually manipulate the data to make it more accurate in case our prior bifurcation filters are not good. If we have the option to manually enter the data or make the exact iterations on the data set, that would be a good thing."

"There aren't enough hands-on labs, and debugging is also an issue because it takes a lot of time. Logs are not that clear when you are debugging, and you can only select a single source for a pipeline."

"I would like to see it integrate with other kinds of platforms, other than Java. We're going to have a lot of applications using .NET and other languages or frameworks. StreamSets is very helpful for the old Java platform but it's hard to integrate with the other platforms and frameworks."

"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."

"The design experience is the bane of our existence because their documentation is not the best. Even when they update their software, they don't publish the best information on how to update and change your pipeline configuration to make it conform to current best practices. We don't pay for the added support. We use the "freeware version." The user community, as well as the documentation they provide for the standard user, are difficult, at best."

More StreamSets cons

Pricing and Cost Advice

"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."

"It's not so favorable for small companies."

"The overall cost is very flexible so it is not a burden for our organization... However, the cost should be improved. For small and mid-size organizations it might be a challenge."

"I believe the pricing is not equitable."

"There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."

"Its pricing is pretty much up to the mark. For smaller enterprises, it could be a big price to pay at the initial stage of operations, but the moment you have the Seed B or Seed C funding and you want to scale up your operations and aren't much worried about the funds, at that point in time, you would need a solution that could be scaled."

"It has a CPU core-based licensing, which works for us and is quite good."

"The pricing is affordable for any business."

"StreamSets is an expensive solution."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

12%

Manufacturing Company

12%

Government

11%

Financial Services Firm

14%

Computer Software Company

11%

Manufacturing Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Rivery?

The tool's price can be a little steep for a small organization. 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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What needs improvement with Rivery?

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What is your primary use case for Rivery?

My company has started to use the Rivery extract data from Hive. It is like a project management sort of program, and we started to use Rivery to get the data from there over into Mavenlink, so we ...

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What do you like most about StreamSets?

The best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customiz...

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What needs improvement with StreamSets?

One issue I observed with StreamSets is that the memory runs out quickly when processing large volumes of data. Because of this memory issue, we have to upgrade our EC2 boxes in the Amazon AWS infr...

See all answers

What is your primary use case for StreamSets?

We are using StreamSets for batch loading.

See all answers

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Product Reports

Buyer's Guide

Data Integration

March 2025

Download Rivery product report

Buyer's Guide

StreamSets

April 2025

Download StreamSets product report

Overview

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.

Rivery

StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.

IBM

Sample Customers

Information Not Available

Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge

Buyer's Guide

Rivery vs. StreamSets

April 2025

Free Report: Rivery vs. StreamSets

Find out what your peers are saying about Rivery vs. StreamSets and other solutions. Updated: April 2025.

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