Actian Pervasive Data Integrator [EOL] vs StreamSets comparison

Actian and IBM are both solutions in the Data Integration category. Additionally, 50% of Actian users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Actian Pervasive Data Integ...

Read 6 Actian Pervasive Data Integrator [EOL] reviews

50% willing to recommend

StreamSets

Read 21 StreamSets reviews

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3,189 Comparison Views

100% willing to recommend

Actian Pervasive Data Integ...

StreamSets

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Executive Summary

We performed a comparison between Actian Pervasive Data Integrator [EOL] and StreamSets based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: July 2026).

Buyer's Guide

Data Integration

July 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

Actian Pervasive Data Integ...

Average Rating

5.8

Number of Reviews

Ranking in other categories

No ranking in other categories

StreamSets

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Integration (24th)

Featured Reviews

BI Shnu Bhatta

Associate Manager at a tech services company with 10,001+ employees

It is stable and we did not have any issues with initial setup. I am not sure if there are various connectors available in the recent version to support the wide range of sources available.

I am not sure if there are various connectors available in the recent version of Pervasive DI to support the wide range of sources available (e.g., big data, cloud, EME) I have been using it for 6-7 months. There were no concerns with the stability. This product is very good from a stability…

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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

"Web based interface."

"This product is extremely useful and better than building an in-house solution."

"We have been using it for ETL, it is very robust and easy to use."

"For data transfers and ETLs on Windows, this is a great product."

"There were no concerns with the stability. This product is very good from a stability perspective."

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

"This product was a lot easier to use than the one we had before it, and it took us half an hour and we were set up and running it the first time."

"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."

"It is really easy to set up and the interface is easy to use."

"StreamSets is the leader in the market."

"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."

"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."

"It has helped us in moving into the data analytics world at a faster pace than any other tool would have done."

More StreamSets pros

Cons

"The areas which I think need to be improved are the transform and load steps."

"I am not sure if there are various connectors available in the recent version of Pervasive DI to support the wide range of sources available (e.g., big data, cloud, EME)."

"At the moment, we can't even use it for 1, since it keeps failing in our QA testing."

"Technical support is an area which can definitely improve."

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

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

"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."

"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."

"There are a few things that can be better."

"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

Information not available

"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."

"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."

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

"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."

"The licensing is expensive, and there are other costs involved too. I know from using the software that you have to buy new features whenever there are new updates, which I don't really like. But initially, it was very good."

"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."

"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 affordable for any business."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

12%

Comms Service Provider

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	4

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?

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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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Compared 6% of the time

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Compared 2% of the time

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Compared 9% of the time

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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

Data Integration

July 2026

Actian Pervasive Data Integrator [EOL] report

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Buyer's Guide

StreamSets

July 2026

Download StreamSets product report

Also Known As

Pervasive Data Integrator, PDI

No data available

Overview

Pervasive's Data Integrator platform is a robust enterprise data integration software solution that enables you to quickly build powerful and frictionless connections between any kind of data source and application.

Actian

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

Pediatrix Medical Group

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

Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: July 2026.

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