Fivetran vs StreamSets comparison

Fivetran and IBM are both solutions in the Data Integration category. Fivetran is ranked #13 with an average rating of 7.8, while IBM is ranked #9 with an average rating of 8.4. Fivetran holds a 2.2% mindshare in DI, compared to IBM’s 1.8% 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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2,803 Comparison Views

88% willing to recommend

StreamSets

Read 22 StreamSets reviews

2,905 Views
1,916 Comparison Views

100% willing to recommend

Fivetran

StreamSets

Comparison Buyer's Guide

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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: November 2024).

Buyer's Guide

Fivetran vs. StreamSets

November 2024

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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 (6th)

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 December 2024, 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 1.8%, up from 1.4% 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

"For us, Fivetran has been able to scale both in terms of the data we bring into our warehouse and the amount of data that we use as well."

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

"SysTrack load is the best feature."

"The solution is stable. We've never faced any stability issues."

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

"Fivetran is remarkably easy to use; I haven't encountered any other data integration tool that is as user-friendly."

"It is easy for users to get accustomed to the tool due to its gentle learning curve and clear error transparency."

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

More Fivetran pros

"It's very easy to integrate. It integrates with Snowflake, AWS, Google Cloud, and Azure. It's very helpful for DevOps, DataOps, and data engineering because it provides a comprehensive solution, and it's not complicated."

"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."

"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."

"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."

"StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes."

"In StreamSets, everything is in one place."

"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."

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

More StreamSets pros

Cons

"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."

"The biggest area for improvement is in customization, particularly in how Fivetran socializes its tools."

"It should have a few more monitoring functionalities."

"The environment must be more development-friendly."

"Fivetran is very expensive for data sources with a lot of rows, such as email data. I would like to see cheaper pricing for data sources like that."

"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 interface needs to be more user-friendly."

"HVR Software's technical support could be improved. Whenever we log a case, the response that we get from the support is a bit delayed."

More Fivetran cons

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

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

"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."

"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 was painful. Also, pipeline failures were common, and data drifting wasn't addressed, which made things worse. Licensing was another issue we encountered."

"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."

"The data collector in StreamSets has to be designed properly. For example, a simple database configuration with MySQL DB requires the MySQL Connector to be installed."

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

"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful."

More StreamSets cons

Pricing and Cost Advice

"The product is reasonably expensive"

"Fivetran is very expensive, and its database-driven pricing model is outdated."

"The solution is affordable."

"The licensing costs are extremely high for the usage of somebody who has one GB or two GB of usage per day for real-time traffic. There are many other players in the market which are similarly priced or competitively priced. On average per month, it used to come around 12,000-15,000 USD, which is very high."

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

"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."

"I've heard that the license for HVR is a bit costly compared to its competitors, but since it's reliable and efficient, I think the customer shouldn't be bothered about the cost."

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

More Fivetran pricing and cost advice

"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 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."

"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."

"StreamSets is an expensive solution."

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

"The pricing is affordable for any business."

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

"It's not expensive because you pay per month, and the tasks you can perform with it are huge. It's reliable and cost-effective."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

29%

Computer Software Company

12%

Financial Services Firm

10%

Manufacturing Company

Financial Services Firm

17%

Computer Software Company

10%

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 ...

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

Comparisons

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Compared 15% of the time

Oracle GoldenGate vs Fivetran

Compared 11% of the time

Qlik Replicate vs Fivetran

Compared 10% of the time

Azure Data Factory vs Fivetran

Compared 9% of the time

Confluent vs Fivetran

Compared 6% of the time

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Informatica PowerCenter vs StreamSets

Compared 13% of the time

IBM InfoSphere DataStage vs StreamSets

Compared 10% of the time

webMethods.io vs StreamSets

Compared 8% of the time

Azure Data Factory vs StreamSets

Compared 8% of the time

SSIS vs StreamSets

Compared 5% of the time

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Product Reports

Buyer's Guide

Fivetran

December 2024

Download Fivetran product report

Buyer's Guide

StreamSets

November 2024

Download StreamSets product report

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Fivetran

Video not available

IBM

Overview

Fivetran is a data integration and migration solution that centralizes data from various sources into a data warehouse (such as Snowflake or BigQuery) for analytics. Its most valuable features include replication and managed pipelines, integration with DBT for data transformation, and many source connections.

Fivetran is easy to use, with fast data migration and an intuitive portal for easy setup and troubleshooting. It has helped organizations integrate and manage data, saving time and resources.

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.

Sample Customers

DocuSign, Oldcastle Infrastructure, Crossmedia, Talkdesk, Chubbies, Brandwatch

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

Buyer's Guide

Fivetran vs. StreamSets

November 2024

Free Report: Fivetran vs. StreamSets

Find out what your peers are saying about Fivetran vs. StreamSets and other solutions. Updated: November 2024.

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