SharePlex vs StreamSets comparison

Quest Software and IBM are both solutions in the Data Integration category. Quest Software is ranked #48, while IBM is ranked #24 with an average rating of 9.5. Quest Software holds a 1.1% mindshare in DI, compared to IBM’s 1.1% mindshare. Additionally, 100% of Quest Software users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

SharePlex

Read 5 SharePlex reviews

3,693 Views
2,400 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

4,142 Views
3,189 Comparison Views

100% willing to recommend

SharePlex

StreamSets

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Executive SummaryUpdated on Mar 1, 2026

SharePlex and StreamSets both operate in the data management domain, focusing on replication and integration, respectively. StreamSets tends to have the upper hand because of its comprehensive data management features, especially in integration tasks.

Features: SharePlex offers Compare and Repair for troubleshooting, efficient PEP for scaling, and robust synchronization and data transfer. StreamSets provides intuitive Data Collector and Control Hub, seamless integration with multiple data stores, and efficient built-in ETL capabilities, making it highly versatile for diverse tasks.

Room for Improvement: SharePlex could enhance its data integration and flexibility to match current market demands. More support for hybrid environments and broader compatibility with cloud systems would be advantageous. StreamSets might improve its user interface in specific areas, reduce the complexity of some operations, and enhance real-time data processing speed for very large datasets.

Ease of Deployment and Customer Service: SharePlex is straightforward to deploy with strong customer support to minimize downtime, essential for maintaining data consistency across systems. StreamSets offers flexible deployment across cloud, on-premises, and hybrid environments with comprehensive customer service, making it particularly easy to integrate into existing processes.

Pricing and ROI: SharePlex is competitively priced, offering significant ROI through its data replication capabilities. StreamSets requires a larger initial investment but is favorable long-term due to its extensive features, offering greater overall value by facilitating comprehensive data management and reducing operational inefficiencies.

To learn more, read our detailed SharePlex vs. StreamSets Report (Updated: August 2026).

Buyer's Guide

SharePlex vs. StreamSets

August 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

SharePlex

Ranking in Data Integration

48th

Average Rating

9.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

StreamSets

Ranking in Data Integration

24th

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of SharePlex is 1.1%, up from 0.7% compared to the previous year. The mindshare of StreamSets is 1.1%, down from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
StreamSets	1.1%
SharePlex	1.1%
Other	97.8%

Data Integration

Featured Reviews

Abhijit Arun Gujare

Sr. Oracle DBA at a comms service provider with 10,001+ employees

Real-time replication means our data is available almost instantaneously if an issue occurs in one of our data centers

I would like the solution to have some kind of machine learning and AI capabilities. Often, if we want to improve the performance of posting, we have to bump up a parameter. That means we need to stop the process, come up with a figure that we want to bump the parameter up to, and then start SharePlex. Machine learning and AI capabilities for these kinds of improvement would tremendously help boost productivity for us. We have discussed this and they have said it is in their future pipeline, but not with a definite date at which we will see this type of feature.

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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.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The synchronization, data backup, and data transfer are all valuable features of the solution."

"SharePlex has been a good fit for us because it was not as expensive compared to GoldenGate, it was stable compared to AWS DMS, and it was a good product for what we were looking for and within our budget too."

"Because of the volume of the transactions, we heavily use a feature that allows SharePlex to replicate thousands of transactions. It's called PEP, Post Enhancement Performance, and that has helped us scale tremendously."

"I like SharePlex's Compare and Repair tool."

"It works 100 percent of the time, with little downtime or problems."

"The core features of the solution we like are the reliability of the data transfer and the accuracy of data read and write. The stability of the solution is also excellent."

"There are some capabilities within SharePlex where you can see how the data is migrating and if it still maintains good data integrity. For example, if there are some tables that get out of sync, there are ways to find them and fix the problem on the spot. Since these are very common issues, we can easily fix these types of problems using utilities, like compare and repair. So, if you find something is out of sync, then you can just repair that table. It basically syncs that table from source to target to see if there are any differences. It will then replicate those differences to the target."

"Try it out in your production and you won't be disappointed."

More SharePlex pros

"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"

"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."

"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 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 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."

"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 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."

"StreamSets' reusable assets have helped to reduce workload by 32% to 40%."

More StreamSets pros

Cons

"For its function in relation to replication (i.e. filtering), I'd give it a six or seven out of 10. GoldenGate has much more functionality by comparison."

"I don't know how easy it would be to change the architecture in an already implemented replication. For example, if we have a certain way of architecting for a particular database migration and want to change that during a period of time, is that an easy or difficult change? There was a need for us to change the architecture in-between the migration, but we didn't do it. We thought, "This is possibly complicated. Let's not change it in the middle because we were approaching our cutover date." That was one thing that we should have checked with support about for training."

"The reporting features need improvement. It would be very good for users to have a clear understanding of the status of replication."

"I would like more ability to automate installation and configuration in line with some of the DevOps processes that are more mature in the market. That would be a considerable improvement."

"I would like the solution to have some kind of machine learning and AI capabilities."

"I don't know how easy it would be to change the architecture in an already implemented replication."

"I would like the solution to have some kind of machine learning and AI capabilities. Often, if we want to improve the performance of posting, we have to bump up a parameter. That means we need to stop the process, come up with a figure that we want to bump the parameter up to, and then start SharePlex. Machine learning and AI capabilities for these kinds of improvement would tremendously help boost productivity for us."

"The reporting features need improvement."

"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."

"I would like to see it integrate with other kinds of platforms, other than Java. We're going to have a lot of applications using .NET and other languages or frameworks. StreamSets is very helpful for the old Java platform but it's hard to integrate with the other platforms and frameworks."

"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."

"The design experience is the bane of our existence because their documentation is not the best. Even when they update their software, they don't publish the best information on how to update and change your pipeline configuration to make it conform to current best practices. We don't pay for the added support. We use the "freeware version." The user community, as well as the documentation they provide for the standard user, are difficult, at best."

"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."

"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."

"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 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."

More StreamSets cons

Pricing and Cost Advice

"It is not as expensive as Oracle GoldenGate and has worked really well within our budgets."

"It's really good value for the money. There are some things they could improve on, but in terms of the pricing, features, and support, as a holistic package, we are not thinking of anything else at this point in time."

"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."

"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."

"I believe the pricing is not equitable."

"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."

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

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

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

"StreamSets is an expensive solution."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Construction Company

13%

Financial Services Firm

Manufacturing Company

Healthcare Company

Financial Services Firm

12%

Comms Service Provider

Manufacturing Company

Outsourcing 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

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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.

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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.

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Comparisons

Oracle Data Integrator (ODI) vs SharePlex

Compared 10% of the time

SSIS vs SharePlex

Compared 6% of the time

Informatica PowerCenter vs SharePlex

Compared 6% of the time

Oracle GoldenGate vs SharePlex

Compared 6% of the time

Qlik Replicate vs SharePlex

Compared 4% of the time

More SharePlex Competitors

Pentaho Data Integration and Analytics vs StreamSets

Compared 9% of the time

Informatica PowerCenter vs StreamSets

Compared 6% of the time

SSIS vs StreamSets

Compared 5% of the time

Confluent vs StreamSets

Compared 5% of the time

Spring Cloud Data Flow vs StreamSets

Compared 5% of the time

More StreamSets Competitors

Product Reports

Buyer's Guide

SharePlex

July 2026

Download SharePlex product report

Buyer's Guide

StreamSets

July 2026

Download StreamSets product report

Also Known As

Dell SharePlex, SharePlex

No data available

Overview

SharePlex delivers robust database replication and migration capabilities, emphasizing performance, synchronization, and data integrity management. Supporting high availability and real-time data syncing, it serves organizations handling vast transaction volumes, especially in IoT data processing.

SharePlex offers reliable data transfer and efficient multi-target replication. Its features like Compare and Repair utilities assist in maintaining data consistency. With PEP fostering scalability for large transactions, it caters to businesses aiming to cut down migration windows and minimize outages. Users employ SharePlex in real-time syncing and failover scenarios across data centers, crucial for handling extensive transaction data during migrations or upgrades.

What are SharePlex's key features?

Core Replication: Ensures reliable data synchronization across multiple targets.
Data Integrity Management: Maintains accuracy during reading and writing processes.
Compare and Repair Utilities: Facilitate data consistency checks and fixes.
PEP: Enhances performance for large transaction volumes.

Why consider SharePlex for your database needs?

Scalability: Supports large-scale transactions with efficiency.
Minimized Downtime: Provides continuous data availability during operations.
Business Continuity: Enables seamless failover and data center transitions.
Real-time Syncing: Supports time-sensitive data processing requirements.

Organizations in sectors like finance and telecommunications implement SharePlex to maintain uninterrupted operations and ensure quick recovery times. By facilitating database migrations to cloud platforms like AWS, they achieve reduced downtime and enhanced operational efficiency, catering to the rigorous demands of data-driven industries.

Quest Software

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

Bodybuilding.com, Priceline.com, Ameco Beijing, Viasat, SK Broadband

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

Buyer's Guide

SharePlex vs. StreamSets

August 2026

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