Rivery vs StreamSets comparison

Rivery and IBM are both solutions in the Data Integration category. Rivery is ranked #37 with an average rating of 8.0, while IBM is ranked #9 with an average rating of 8.5. Rivery holds a 0.3% 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

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204 Comparison Views

100% willing to recommend

StreamSets

Read 20 StreamSets reviews

2,753 Views
1,836 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: January 2025).

Buyer's Guide

Rivery vs. StreamSets

January 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

37th

Average Rating

8.6

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Migration Tools (4th), Cloud Migration (13th), Cloud Data Integration (20th)

StreamSets

Ranking in Data Integration

9th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2025, in the Data Integration category, the mindshare of Rivery is 0.3%, up from 0.1% compared to the previous year. The mindshare of StreamSets is 1.6%, up from 1.3% 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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Reyansh Kumar

Technical Specialist at Accenture

We no longer need to hire highly skilled data engineers to create and monitor data pipelines

The things I like about StreamSets are its * overall user interface * efficiency * product features, which are all good. Also, the scheduling within the data engineering pipeline is very much appreciated, and it has a wide range of connectors for connecting to any data sources like SQL Server, AWS, Azure, etc. We have used it with Kafka, Hadoop, and Azure Data Factory Datasets. Connecting to these systems with StreamSets is very easy. You just need to configure the data sources, the paths and their configurations, and you are ready to go. It is very efficient and very easy to use for ETL pipelines. It is a GUI-based interface in which you can easily create or design your own data pipelines with just a few clicks. As for moving data into modern analytics systems, we are using it with Microsoft Power BI, AWS, and some on-premises solutions, and it is very easy to get data from StreamSets into them. No hardcore coding or special technical expertise is required. It is also a no-code platform in which you can configure your data sources and data output for easy configuration of your data pipeline. This is a very important aspect because if a tool requires code development, we need to hire software developers to get the task done. By using StreamSets, it can be done with a few clicks.

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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

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

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

"The most valuable feature is the pipelines because they enable us to pull in and push out data from different sources and to manipulate and clean things up within them."

"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 best feature that I really like is the integration."

"Also, the intuitive canvas for designing all the streams in the pipeline, along with the simplicity of the entire product are very big pluses for me. The software is very simple and straightforward. That is something that is needed right now."

"One of the things I like is the data pipelines. They have a very good design. Implementing pipelines is very straightforward. It doesn't require any technical skill."

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

"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 customize it to do what you need. Many other tools have started to use features similar to those introduced by StreamSets, like automated workflows that are easy to set up."

"The most valuable would be the GUI platform that I saw. I first saw it at a special session that StreamSets provided towards the end of the summer. I saw the way you set it up and how you have different processes going on with your data. The design experience seemed to be pretty straightforward to me in terms of how you drag and drop these nodes and connect them with arrows."

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."

"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."

"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."

"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."

"They need to improve their customer care services. Sometimes it has taken more than 48 hours to resolve an issue. That should be reduced. They are aware of small or generic issues, but not the more technical or deep issues. For those, they require some time, generally 48 to 72 hours to respond. That should be improved."

"The software is very good overall. Areas for improvement are the error logging and the version history. I would like to see better, more detailed error logging information."

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

"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."

"If you use JDBC Lookup, for example, it generally takes a long time to process data."

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."

"StreamSets is an expensive solution."

"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."

"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."

"The licensing is expensive, and there are other costs involved too. I know from using the software that you have to buy new features whenever there are new updates, which I don't really like. But initially, it was very good."

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

"We are running the community version right now, which can be used free of charge."

"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."

"I believe the pricing is not equitable."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

12%

Government

11%

Manufacturing Company

10%

Financial Services Firm

18%

Computer Software Company

11%

Manufacturing Company

10%

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?

We often faced problems, especially with SAP ERP. We struggled because many columns weren't integers or primary keys, which StreamSets couldn't handle. We had to restructure our data tables, which ...

See all answers

What is your primary use case for StreamSets?

StreamSets is used for data transformation rather than ETL processes. It focuses on transforming data directly from sources without handling the extraction part of the process. The transformed data...

See all answers

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Azure Data Factory vs StreamSets

Compared 8% of the time

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Product Reports

Buyer's Guide

Data Integration

January 2025

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Buyer's Guide

StreamSets

January 2025

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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

January 2025

Free Report: Rivery vs. StreamSets

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