Actian Pervasive Data Integrator [EOL] vs StreamSets comparison

Why PeerSpot?

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

5,056 Views
3,893 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: October 2026).

Buyer's Guide

Data Integration

October 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 (30th)

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

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

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

"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."

"Web based interface."

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

"StreamSets is the leader in the market."

"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."

"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."

"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%."

"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."

"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."

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

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."

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

"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."

"If you use JDBC Lookup, for example, it generally takes a long time to process data."

"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."

"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."

"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."

"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."

More StreamSets cons

Pricing and Cost Advice

Information not available

"StreamSets is an expensive solution."

"The pricing is affordable for any business."

"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."

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

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

"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."

"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."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

10%

Outsourcing Company

Comms Service Provider

Healthcare 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.

See all answers

Comparisons

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MuleSoft Anypoint Platform vs Actian Pervasive Data Integrator [EOL]

Compared 6% of the time

IBM B2B Integrator vs Actian Pervasive Data Integrator [EOL]

Compared 5% of the time

More Actian Pervasive Data Integrator [EOL] Competitors

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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

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Compared 5% of the time

Oracle Data Integrator (ODI) vs StreamSets

Compared 4% of the time

More StreamSets Competitors

Product Reports

Buyer's Guide

Data Integration

October 2026

Actian Pervasive Data Integrator [EOL] report

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Buyer's Guide

StreamSets

October 2026

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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: October 2026.

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