Fivetran vs StreamSets comparison

Fivetran and IBM are both solutions in the Data Integration category. Fivetran is ranked #13 with an average rating of 7.9, while IBM is ranked #10 with an average rating of 8.5. Fivetran holds a 2.2% mindshare in DI, compared to IBM’s 1.6% mindshare. Additionally, 88% of Fivetran users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Fivetran

Read 25 Fivetran reviews

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2,518 Comparison Views

88% willing to recommend

StreamSets

Read 20 StreamSets reviews

2,609 Views
1,762 Comparison Views

100% willing to recommend

Fivetran

StreamSets

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Executive SummaryUpdated on Dec 19, 2024

StreamSets and Fivetran compete in the data integration and pipeline management category. StreamSets holds an advantage in configuration flexibility and broad connector options, while Fivetran edges forward with user-friendly interfaces and managed data pipelines.

Features: StreamSets offers ease of configuration with a wide range of connectors allowing for robust data transformation and drift resilience. Its graphical data pipeline design tool supports both batch and streaming integration. Additionally, StreamSets minimally requires coding, which benefits less technically proficient teams. Fivetran excels in managed, seamless data replication and simple automation. Its integration with DBT for transformations and an easy setup process with an intuitive interface caters well to large data operations.

Room for Improvement: StreamSets faces challenges with non-Java platform integration, memory leak issues, and complicated logging mechanisms. Security gaps and limited SAP HANA features also need attention. Fivetran's high pricing, limited pipeline observability, and desire for more connectors are concerns. The tool's documentation and logs require enhancement, alongside customization options for hybrid environments.

Ease of Deployment and Customer Service: StreamSets supports deployment across public, hybrid, and on-premises environments, though user feedback suggests customer service response times are slow. Fivetran prioritizes public cloud and hybrid environments and is praised for simplicity and user experience, yet it lacks rapid support responses. Both platforms can improve user support, but Fivetran's easy deployment often reduces frustration.

Pricing and ROI: StreamSets utilizes a flexible CPU core-based licensing model with community and enterprise versions, noted for high costs but providing significant ROI through efficiency savings. In contrast, Fivetran's pricing may escalate with usage due to its data volume pricing model but is viewed as a worthwhile investment for larger operations due to its simplicity and scalability.

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

Buyer's Guide

Fivetran vs. StreamSets

February 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

Fivetran

Ranking in Data Integration

13th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Replication (3rd), Cloud Data Integration (7th)

StreamSets

Ranking in Data Integration

10th

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 Fivetran is 2.2%, up from 1.9% compared to the previous year. The mindshare of StreamSets is 1.6%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Erik Jones

Head of BI and Analytics at HyperScience

Solution reduces time-to-value; high ROI

Fivetran has room for improvement in data pipeline observability. The Fivetran logs are fairly basic, compared to, for example, the insight Fivetran gives into helping users understanding the performance of data pipelines. So I think their observability into the pipeline itself could be improved. In addition, Fivetran is in the very early stages of allowing other companies to access its metadata API, but that's something that could use improvement, and I know that they're working on right now. We use a separate tool for "reverse ETL", which is the opposite of what Fivetran does; it pushes data from your data warehouse back out to business applications. If Fivetran pulls data from those same applications, they should also enable users to push it back. I would love to do both ETL and reverse ETL in the same tool. It would be nice if Fivetran offered both their regular offering plus the reverse ETL option as well.

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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

"The most valuable feature of Fivetran is that it only synchronizes what needs to be synchronized."

"The user interface is mostly UI-based, eliminating the need for a lot of coding."

"The ease of setting up the connectors and transformations is highly valuable."

"The simplicity and scalability are the strongest features of Fivetran."

"Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors."

"The product is very easy to use and very easy to configure."

"The compare feature is the most valuable piece of it."

"There's the general feature of the platform where it just makes it very easy to integrate different things, but I would say a specific difference is their integration of DBT,."

More Fivetran pros

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

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

"The entire user interface is very simple and the simplicity of creating pipelines is something that I like very much about it. The design experience is very smooth."

"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 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."

"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"

"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."

"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."

More StreamSets pros

Cons

"There is not a lot of options to customize the pipeline, and the cost is high."

"We experience cost issues because Fivetran is charged on a usage basis. When you reach a certain level, the tool should focus on reducing the costs. The solution is expensive when you are moving gigabytes and petabytes of data. It should also focus more on REST APIs and webhooks."

"The documentation is decent, but it's hard to find information online about Fivetran. For example, if you try to search for an error code, you won't find much information about it in forums."

"Some of the pain points we're looking at are trying to integrate some of the items in the Microsoft stack, so SharePoint and Excel, and then some of the newer Azure services."

"The documentation can be laid out better to make it easier to find things, and I really wish there was built-in support for changing passwords. Some features don't work as advertised for the platform/repository database, and HVR is not always the fastest at getting results."

"It should have a few more monitoring functionalities."

"This solution needs to improve its real-time data and transformation availability."

"We use a separate tool for "reverse ETL", which is the opposite of what Fivetran does; it pushes data from your data warehouse back out to business applications. If Fivetran pulls data from those same applications, they should also enable users to push it back. I would love to do both ETL and reverse ETL in the same tool."

More Fivetran cons

"The logging mechanism could be improved. If I am working on a pipeline, then create a job out of it and it is running, it will generate constant logs. So, the logging mechanism could be simplified. Now, it is a bit difficult to understand and filter the logs. It takes some time."

"StreamSets should provide a mechanism to be able to perform data quality assessment when the data is being moved from one source to the target."

"The execution engine could be improved. When I was at their session, they were using some obscure platform to run. There is a controller, which controls what happens on that, but you should be able to easily do this at any of the cloud services, such as Google Cloud. You shouldn't have any issues in terms of how to run it with their online development platform or design platform, basically their execution engine. There are issues with that."

"We've seen a couple of cases where it appears to have a memory leak or a similar problem."

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

"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."

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

"In terms of the product, I don't think there is any room for improvement because it is very good. One small area of improvement that is very much needed is on the knowledge base side. Sometimes, it is not very clear how to set up a certain process or a certain node for a person who's using the platform for the first time."

More StreamSets cons

Pricing and Cost Advice

"In the first year, we were given a very good discount. It was approximately 20,000 Euros per year. In the third year, we purchased credit for two years and the price was 33,000 Euros per year."

"When you have a lot of workflows and complex use cases, pricing goes down as you use it more."

"I don't have the exact information, but I know it is high, and it is on a yearly basis. There is no additional cost for what we're doing. We're always open to doing things cheaper, so we might potentially implement a different solution."

"The pricing model is okay and mid to large companies will not have an issue with it."

"I can't give exact amounts because that's based on usage, but it's more expensive than some of its competitors."

"I rate the pricing a six out of ten."

"I would say they're a little bit on the expensive side, and their contract process is not particularly good, but there is a lot of potential flexibility."

"The solution is affordable."

More Fivetran pricing and cost advice

"We use the free version. It's great for a public, free release. Our stance is that the paid support model is too expensive to get into. They should honestly reevaluate that."

"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."

"There are two editions, Professional and Enterprise, and there is a free trial. We're using the Professional edition and it is competitively priced."

"The pricing is too fixed. It should be based on how much data you need to process. Some businesses are not so big that they process a lot of data."

"StreamSets is an expensive solution."

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

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

"StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

30%

Computer Software Company

12%

Financial Services Firm

10%

Manufacturing Company

Financial Services Firm

17%

Computer Software Company

11%

Manufacturing Company

10%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What's the deal with the HVR software acquisition?

As a user of HVR Software I followed this deal closely. Fivetran is apparently trying to establish more in its sector and by buying an already established data replication software, they become som...

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Does HVR Software provide reliable insights?

I honestly can't think of another data replication software that can give you better statistics and insight than HVR Software. There's the feature for topology and statistics and both of them can ...

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How much traffic can HVR Software handle?

As someone who works at a company where a high volume of information is replicated and has tried several data replication softwares, I can tell you that you're looking at the right one. HVR Softwar...

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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 ...

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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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Compared 11% of the time

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Compared 8% of the time

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Compared 6% of the time

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Product Reports

Buyer's Guide

Fivetran

February 2025

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Buyer's Guide

StreamSets

January 2025

Download StreamSets product report

Overview

Fivetran, the global leader in data movement, is trusted by companies like OpenAI, LVMH, Pfizer, Verizon and Spotify to centralize data from SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. With high-performance pipelines, seamless interoperability, and enterprise-grade security, Fivetran empowers organizations to modernize their data infrastructure, power analytics and AI, ensure compliance, and achieve transformative business outcomes. Learn more at Fivetran.com

Fivetran

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

Autodesk, Condé Nast, JetBlue, Morgan Stanley, OpenAI, LVMH, Pfizer, Verizon, SpotifyNational Australia Bank, Saks, Cemex, Okta, Dropbox, Pitney Bowes, World Fuel Services,Lufthansa, AutoZone, ASICS, ASOS, Coupa, Databricks, Hermes, New Relic, Intercom,Canva, Honeywell, Square, DocuSign, Nandos, Oldcastle Infrastructure

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

Buyer's Guide

Fivetran vs. StreamSets

February 2025

Free Report: Fivetran vs. StreamSets

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

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