StreamSets vs Unifi comparison

IBM and Unifi Software are both solutions in the Data Integration category. IBM is ranked #22 with an average rating of 8.8, while Unifi Software is ranked #57. IBM holds a 1.6% mindshare in DI, compared to Unifi Software’s 0.2% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 100% of Unifi Software users who would recommend it.

StreamSets

Read 21 StreamSets reviews

2,186 Views
1,376 Comparison Views

100% willing to recommend

Unifi

Read 2 Unifi reviews

269 Views
164 Comparison Views

100% willing to recommend

StreamSets

Unifi

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Executive SummaryUpdated on Dec 19, 2024

Unifi and StreamSets compete in the data integration space. StreamSets appears to have the upper hand in features, offering more comprehensive integration options, which justify its higher price point, while Unifi is favored for its competitive pricing and substantial customer support.

Features: Unifi focuses on machine learning capabilities and data preparation tools, delivering a streamlined approach to data analysis. It emphasizes data preparation and ease of use. StreamSets prioritizes real-time data processing, automation, and extensive integration options, highlighting its strength in handling dynamic data environments.

Ease of Deployment and Customer Service: Unifi offers a straightforward deployment model and significant customer support, enhancing accessibility for teams needing quick implementation. StreamSets provides flexible deployment options with a steeper learning curve, supported by detailed documentation, allowing greater adaptability for customized projects.

Pricing and ROI: Unifi presents competitive pricing and rapid ROI due to lower setup costs. StreamSets, although more expensive, justifies its price through advanced features, offering potential long-term benefits with its capability-rich platform.

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

Buyer's Guide

StreamSets vs. Unifi

May 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

StreamSets

Ranking in Data Integration

22nd

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Unifi

Ranking in Data Integration

57th

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Governance (46th), Data Preparation Tools (10th)

Mindshare comparison

As of June 2025, in the Data Integration category, the mindshare of StreamSets is 1.6%, up from 1.4% compared to the previous year. The mindshare of Unifi is 0.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Ved Prakash Yadav

Senior Data Platform Manager at a manufacturing company with 10,001+ employees

Useful for data transformation and helps with column encryption

We use various tools and alerting systems to notify us of pipeline errors or failures. StreamSets supports data governance and compliance by allowing us to encrypt incoming data based on specified rules. We can easily encrypt columns by providing the column name and hash key. If you're considering using StreamSets for the first time, I would advise first understanding why you want to use it and how it will benefit you. If you're dealing with change tracking or handling large amounts of data, it could be cost-effective compared to services like Amazon. It's easy to schedule and manage tasks with the tool, and you can enhance your skills as an ETL developer. You can easily migrate traditional pipelines built on platforms like Informatica or Talend to StreamSets. I rate the overall solution an eight out of ten.

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Doug Isabelle

Owner at Doc-IT

Good management and pricing but not great for enterprise environments

In a high-density location, we're running into connectivity drops. There may be too many rouge devices broadcasting, and the devices is getting interference from another channel. The only to fix this is to reboot and we need something that reboots on the fly. We also need better security for VLANs and VPNs. There are issues with certain Apple devices. Technical support is not very helpful. The initial setup, which seemed straightforward at first, had to be redone. This may not have been the fault of the product. We're not sure what went wrong.

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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 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 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."

"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."

"In StreamSets, everything is in one place."

"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 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."

"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

"It's easy to manage and support the user, our guests, and our customers if they have a problem."

"The controller makes it easy to control everything from one platform. The management is easy."

Cons

"One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."

"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."

"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."

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

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

"Sometimes, it is not clear at first how to set up nodes. A site with an explanation of how each node works would be very helpful."

"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."

"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."

More StreamSets cons

"There are issues with certain Apple devices."

"It's stable, but it depends on the office and location."

Pricing and Cost Advice

"I believe the pricing is not equitable."

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

"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."

"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."

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

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

"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."

"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

"There is no license. The solution is free."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

11%

Manufacturing Company

10%

Insurance Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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...

See all answers

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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Comparisons

Informatica PowerCenter vs StreamSets

Compared 13% of the time

IBM InfoSphere DataStage vs StreamSets

Compared 12% of the time

webMethods.io vs StreamSets

Compared 10% of the time

Azure Data Factory vs StreamSets

Compared 7% of the time

Fivetran vs StreamSets

Compared 6% of the time

More StreamSets Competitors

MuleSoft Anypoint Platform vs Unifi

Compared 54% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Unifi

Compared 46% of the time

More Unifi Competitors

Product Reports

Buyer's Guide

StreamSets

May 2025

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Buyer's Guide

Data Integration

June 2025

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Overview

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

The Unifi Data Platform breaks down the barriers of operational data silos and democratizes information across the enterprise. At the heart of the platform is a comprehensive suite of self-service data discovery and preparation tools to empower business users. Employing machine learning and artificial intelligence technologies, and optimized for the cloud, Unifi predicts what the business user wants to visualize and then connects the resulting data natively to the BI tool for fast, accurate results.

Unifi Software

Sample Customers

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

Big Incites, Cloudera, Flywheel Data, Hortonworks, MapR, Platfora, Qlik, Tableau Software, zData Inc.

Buyer's Guide

StreamSets vs. Unifi

May 2025

Free Report: StreamSets vs. Unifi

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