NetApp Cloud Sync vs StreamSets comparison

Why PeerSpot?

NetApp and IBM are both solutions in the Cloud Data Integration category. Additionally, 100% of NetApp users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

NetApp Cloud Sync

Read 3 NetApp Cloud Sync reviews

970 Views
504 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

4,718 Views
3,633 Comparison Views

100% willing to recommend

NetApp Cloud Sync

StreamSets

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Executive Summary

We performed a comparison between NetApp Cloud Sync and StreamSets based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration.

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Cloud Data Integration

September 2026

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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

NetApp Cloud Sync

Average Rating

8.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Cloud Data Integration (20th)

StreamSets

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Integration (27th)

Featured Reviews

Sanjay Singh Bisht

Assistant Manager at a outsourcing company with 51-200 employees

Hybrid data sync has minimized downtime and supports large cloud migrations efficiently

NetApp Cloud Sync is a very good product. When it comes to improvement, more detailed reporting and analytics can be available with richer dashboards for transfer performance, bandwidth usage, failed files, and historic trends. Smart handling of errors, such as clearer explanations for failed syncs and more actionable troubleshoot guidance, is needed as well. More granular scheduling and policy controls such as advanced filtering, bandwidth throttling by time of day, and finer control over sync behavior are also areas for improvement. Expanding cloud and storage integration would make it easier to connect to additional storage platforms and emerging cloud services. Lower source storage usage for the data broker and improved performance when synchronizing very large file systems containing millions of small files would be beneficial. Lastly, more automation options such as richer API and webhooks for tighter integration with infrastructure as code or DevOps workflows are also needed.

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SrinivasanSankar

Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees

Enables effective batch loading with visual interface and enterprise support

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. I had to switch to a new EC2 box, even though the processor was not fully utilized. It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades. Additionally, it would be a great enhancement if StreamSets could produce a lineage graph to visualize how the data has passed through the system.

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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

"NetApp Cloud Sync has impacted my organization positively by significantly reducing downtime."

"Personally, the best features in NetApp Cloud Sync are its simplicity and trustworthiness."

"The customer support for NetApp Cloud Sync is very good; support is provided immediately, and issues are resolved very quickly."

"StreamSets has definitely helped us in getting the information into our data lake very quickly, in terms of ingestion, and the most important thing is it has helped us from a resourcing point of view because you can easily upskill a BI or ETL resource without any programming knowledge to work with this, which has drastically reduced the time that we are spending on workloads by 60% to 70% as well as reducing the time spent on ingestion by 30%."

"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."

"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 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."

"In StreamSets, everything is in one place."

"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."

"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."

"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."

More StreamSets pros

Cons

"When it comes to improvement, more detailed reporting and analytics can be available with richer dashboards for transfer performance, bandwidth usage, failed files, and historic trends."

"A big drawback on the NetApp side is that because we started encountering remote home workers in our infrastructure, we started to encounter multiple incidents or requests for improvement related to latency."

"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."

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

"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."

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

"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."

"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

Pricing and Cost Advice

Information not available

"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."

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

"StreamSets is an expensive solution."

"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."

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

"The pricing is affordable for any business."

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

"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."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Outsourcing Company

56%

Comms Service Provider

10%

Construction Company

Financial Services Firm

10%

Outsourcing Company

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	11

Questions from the Community

What needs improvement with NetApp Cloud Sync?

I did not come across any drawbacks or downsides in NetApp Cloud Sync technology. This is good technology, but on the NetApp side, because we are working with file services and we are primarily usi...

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What is your primary use case for NetApp Cloud Sync?

The company uses NetApp Cloud Sync for synchronizing on-premises file servers with Azure Cloud, hosting NetApp file servers on various storage arrays, either physical or virtual as VMware VMs. This...

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What advice do you have for others considering NetApp Cloud Sync?

NetApp Cloud Sync is deployed through Azure Cloud, and this is the only architecture that we have. We do not have any other vendors in the cloud to do this with NetApp. So this is our standardizati...

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What needs improvement with StreamSets?

See all answers

What is your primary use case for StreamSets?

We are using StreamSets for batch loading.

See all answers

What advice do you have for others considering StreamSets?

If asked, I definitely recommend StreamSets to other users. My overall rating for the solution is nine.

See all answers

Comparisons

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Compared 16% of the time

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Compared 14% of the time

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Compared 14% of the time

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Compared 9% of the time

Informatica PowerCenter vs StreamSets

Compared 6% of the time

SSIS vs StreamSets

Compared 6% of the time

Spring Cloud Data Flow vs StreamSets

Compared 5% of the time

Oracle Data Integrator (ODI) vs StreamSets

Compared 4% of the time

More StreamSets Competitors

Product Reports

Buyer's Guide

NetApp Cloud Sync

September 2026

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Buyer's Guide

StreamSets

September 2026

Download StreamSets product report

Overview

NetApp Cloud Sync is a robust solution for data synchronization between on-premises and cloud environments, ensuring efficient and real-time data transfer that supports critical workloads and processes.

NetApp Cloud Sync provides seamless data synchronization, helping organizations manage and migrate data efficiently. Compatible with multiple storage environments, it reduces complexity and enhances data accessibility. Users find it instrumental in maintaining data consistency and achieving cloud migration goals. Its scalable architecture supports varied data transfer scenarios, making it a reliable choice for enterprise needs.

What are the most important features of NetApp Cloud Sync?

Automated Data Synchronization: Ensures consistent and real-time data updates across environments.
Multi-Cloud Compatibility: Supports integration with different cloud providers, enhancing flexibility.
Scalable Architecture: Adapts to changing data sizes and demands without compromising performance.
Secure Data Transfers: Implements strong encryption protocols for data integrity and security.

What benefits and ROI should users consider in reviews?

Improved Efficiency: Streamlines data management tasks, reducing manual intervention.
Cost-Effective: Optimizes data transfer processes, lowering operational costs.
Enhanced Data Accessibility: Provides quick access to data from any location, aiding decision-making.
Time Savings: Reduces the time needed for complex data migration activities.

NetApp Cloud Sync is widely implemented in industries like finance, healthcare, and retail to facilitate data migration to the cloud. Its adaptability and robust performance in managing large datasets make it ideal for these sectors, where data accessibility and integrity are crucial for operations.

NetApp

StreamSets streamlines data pipeline creation, connecting data from multiple sources to destinations like cloud platforms with minimal coding. Its centralized platform and intuitive design enhance ETL and data migration processes.

StreamSets integrates seamlessly with analytics platforms, offering tools such as Data Collector and Control Hub to facilitate data ingestion, transformation, and machine learning integrations. Its user-friendly interface and ready connectors aid in configuring complex data pipelines. With built-in data drift resilience and scheduling options, users experience efficient, scalable data management, despite challenges like latency in cloud storage and interface enhancement needs. Users often employ StreamSets for batch loading, real-time data processing, and smart data pipeline management, offering comprehensive data integration solutions.

What are the key features of StreamSets?

Data Collector: Enables streamlined data collection and processing.
Control Hub: Centralizes management of data pipelines.
Minimal Coding: Simplifies pipeline configuration with limited code requirement.
Data Drift Resilience: Adapts to changes in data patterns effectively.

What benefits should users look for?

Time-Saving: Efficient processes reduce manual effort.
Scalability: Easily manages large datasets.
Integration: Connects with leading analytics and cloud platforms.
Real-Time Processing: Supports continuous data delivery for timely insights.

In industries like finance and technology, StreamSets supports data migration, machine learning integrations, and analytics by simplifying data transformation and enhancing decision-making capabilities through its robust pipeline management.

IBM

Sample Customers

Information Not Available

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

Buyer's Guide

Cloud Data Integration

September 2026

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