Pentaho Data Integration and Analytics vs SSIS comparison

Hitachi Vantara and Microsoft are both solutions in the Data Integration category. Hitachi Vantara is ranked #24 with an average rating of 7.6, while Microsoft is ranked #4 with an average rating of 7.7. Hitachi Vantara holds a 1.5% mindshare in DI, compared to Microsoft’s 8.8% mindshare. Additionally, 94% of Hitachi Vantara users are willing to recommend the solution, compared to 79% of Microsoft users who would recommend it.

Pentaho Data Integration an...

Read 52 Pentaho Data Integration and Analytics reviews

2,438 Views
1,080 Comparison Views

94% willing to recommend

SSIS

Read 72 SSIS reviews

14,200 Views
11,375 Comparison Views

79% willing to recommend

Pentaho Data Integration an...

SSIS

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 19, 2024

Pentaho Data Integration and Analytics and SSIS are competitors in the field of data integration solutions. Based on the available data, SSIS appears to have the upper hand due to its strong integration with Microsoft products and exceptional enterprise deployment capabilities.

Features: Pentaho Data Integration and Analytics is known for its ease of use, support for multiple data sources, and a robust graphical interface. It excels in providing comprehensive capabilities such as big data support and rapid development cycles, with a user-friendly GUI and extensive functionality. In contrast, SSIS is recognized for its seamless integration with Microsoft products, extensive scripting capabilities, scalability, and high performance, making it ideal for enterprise-level deployments. It offers beneficial features for complex data transformations.

Room for Improvement: Pentaho users seek better performance with large datasets, expanded Hadoop utilities support, and improved logging. There is also a need for enhanced error handling and repository management. On the other hand, SSIS users suggest improvements in handling various data sources, better integration, and advanced real-time processing capabilities, with a demand for more native connectors and enhanced debugging features.

Ease of Deployment and Customer Service: Pentaho Data Integration can be flexibly deployed across diverse environments, including on-premises and hybrid clouds, catering to various business needs. While community and enterprise support are available, response times can vary. SSIS, primarily deployed on-premises, offers easy integration within Microsoft ecosystems. Its customer service and technical support receive high ratings, providing reliable enterprise-level assistance.

Pricing and ROI: Pentaho offers competitive pricing with its free Community Edition and subscription-based Enterprise Edition, providing significant ROI through reduced ETL development time and cost savings, especially for open-source users. SSIS, included with SQL Server licenses, offers value through its integration with the Microsoft stack, presenting a favorable pricing model for enterprises already within the Microsoft ecosystem, thus achieving cost-effective data integration solutions.

To learn more, read our detailed Pentaho Data Integration and Analytics vs. SSIS Report (Updated: November 2024).

Buyer's Guide

Pentaho Data Integration and Analytics vs. SSIS

November 2024

Download the complete report

Helped 824,053 peers since 2012

Categories and Ranking

Pentaho Data Integration an...

Ranking in Data Integration

24th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

SSIS

Ranking in Data Integration

4th

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2024, in the Data Integration category, the mindshare of Pentaho Data Integration and Analytics is 1.5%, up from 0.6% compared to the previous year. The mindshare of SSIS is 8.8%, down from 9.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Q&A Highlights

RajneeshShukla

Solution Architect at a tech vendor with 10,001+ employees

Sep 09, 2021

Which ETL tool would you recommend to populate data from OLTP to OLAP?

We have experiences only in Pentaho Data Integrator (open source competitor of the Oracle Data Integrator). But OLAP exporting wasn't in our scope until now.

See all answers

Featured Reviews

Ryan Ferdon

Senior Data Engineer at Burgiss

Low-code makes development faster than with Python, but there were caching issues

If you're working with a larger data set, I'm not so sure it would be the best solution. The larger things got the slower it was. It was kind of buggy sometimes. And when we ran the flow, it didn't go from a perceived start to end, node by node. Everything kicked off at once. That meant there were times when it would get ahead of itself and a job would fail. That was not because the job was wrong, but because Pentaho decided to go at everything at once, and something would process before it was supposed to. There were nodes you could add to make sure that, before this node kicks off, all these others have processed, but it was a bit tedious. There were also caching issues, and we had to write code to clear the cache every time we opened the program, because the cache would fill up and it wouldn't run. I don't know how hard that would be for them to fix, or if it was fixed in version 10. Also, the UI is a bit outdated, but I'm more of a fan of function over how something looks. One other thing that would have helped with Pentaho was documentation and support on the internet: how to do things, how to set up. I think there are some sites on how to install it, and Pentaho does have a help repository, but it wasn't always the most useful.

Read full review

Sakiru Dosumu

Head, Development Chapter (DevOps) at First Bank of Nigeria Ltd.

Its ability to transform and transport data is extremely valuable

he ability of SSIS to transform and transport data is extremely valuable to me. It allows for intelligent extraction and manipulation of data during the process. Improved error handling would enhance ETL processes further. I haven't directly utilized the data flow components but they seem capable of supporting complex data integration needs.

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 area where Lumada has helped us is in the commercial area. There are many extractions to compose reports about our sales team performance and production steps. Since we are using Lumada to gather data from each industry in each country. We can get data from Argentina, Chile, Brazil, and Colombia at the same time. We can then concentrate and consolidate it in only one place, like our data warehouse. This improves our production performance and need for information about the industry, production data, and commercial data."

"Sometimes, it took a whole team about two weeks to get all the data to prepare and present it. After the optimization of the data, it took about one to two hours to do the whole process. Therefore, it has helped a lot when you talk about money, because it doesn't take a whole team to do it, just one person to do one project at a time and run it when you want to run it. So, it has helped a lot on that side."

"Provides a good open source option."

"It makes it pretty simple to do some fairly complicated things. Both I and some of our other BI developers have made stabs at using, for example, SQL Server Integration Services, and we found them a little bit frustrating compared to Data Integration. So, its ease of use is right up there."

"We use Lumada’s ability to develop and deploy data pipeline templates once and reuse them. This is very important. When the entire pipeline is automated, we do not have any issues in respect to deployment of code or with code working in one environment but not working in another environment. We have saved a lot of time and effort from that perspective because it is easy to build ETL pipelines."

"I absolutely love Hitachi. I'm one of the forefront supporters of Hitachi for my firm. It's so easy to integrate within our environments. In terms of being able to quickly build ETL jobs, transform, and then automate them, it's really easy to integrate throughout for data analytics."

"We can schedule job execution in the BA Server, which is the front-end product we're using right now. That scheduling interface is nice."

"Flexible deployment, in any environment, is very important to us. That is the key reason why we ended up with these tools. Because we have a very highly secure environment, we must be able to install it in multiple environments on multiple different servers. The fact that we could use the same tool in all our environments, on-prem and in the cloud, was very important to us."

More Pentaho Data Integration and Analytics pros

"The setup was easy. All Microsoft products are easy to set up."

"The performance and stability are good."

"The simplicity of the solution is great. The solution also offers excellent integration."

"Its compatibility with Microsoft products has been very valuable to our company. It fits well within the architecture."

"The ability of SSIS to transform and transport data is extremely valuable to me. It allows for intelligent extraction and manipulation of data during the process. Improved error handling would enhance ETL processes further. I haven't directly utilized the data flow components but they seem capable of supporting complex data integration needs."

"It has good data integration and good processes."

"It is easy to set up the solution."

"It's a competent product."

More SSIS pros

Cons

"It's not very stable, at least not in the case of the community edition. I'm working with the community edition right now and I think perhaps it is because of that it is not very stable, it causes the system to sometimes hang. I'm not sure if this is the case for pair tiers."

"There is not a data quality or MDM solution in the Pentaho DI suite."

"I would like to see improvements made for real-time data processing."

"One thing that I don't like, just a little, is the backward compatibility."

"In terms of the flexibility to deploy in any environment, such as on-premise or in the cloud, we can do the cloud deployment only through virtual machines. We might also be able to work on different environments through Docker or Kubernetes, but we don't have an Azure app or an AWS app for easy deployment to the cloud. We can only do it through virtual machines, which is a problem, but we can manage it. We also work with Databricks because it works with Spark. We can work with clustered servers, and we can easily do the deployment in the cloud. With a right-click, we can deploy Databricks through the app on AWS or Azure cloud."

"I would like to see support for some additional cloud sources. It doesn't support Azure, for example. I was trying to do a PoC with Azure the other day but it seems they don't support it."

"The web interface is rusty, and the biggest problem with Pentaho is debugging and troubleshooting. It isn't easy to build the pipeline incrementally. At least in our case, it's hard to find a way to execute step by step in the debugging mode."

"Lumada could have more native connectors with other vendors, such as Google BigQuery, Microsoft OneDrive, Jira systems, and Facebook or Instagram. We would like to gather data from modern platforms using Lumada, which is a better approach. As a comparison, if you open Power BI to retrieve data, then you can get data from many vendors with cloud-native connectors, such as Azure, AWS, Google BigQuery, and Athena Redshift. Lumada should have more native connectors to help us and facilitate our job in gathering information from these new modern infrastructures and tools."

More Pentaho Data Integration and Analytics cons

"I come from a coding background and this tool is graphically based. Sometimes I think it's cumbersome to do mapping graphically. If there was a way to provide a simple script, it would be helpful and make it easier to use."

"There are a lot of things that Microsoft could improve in relation to SSIS. One major problem we faced was when attempting to move some Excel files to our SQL Server. The Excel provider has a limitation that prevents importing more than 255 columns from a particular Excel file to the database. This restriction posed a significant issue for us."

"Integration and the user interface are areas with certain shortcomings that require some improvements."

"When I compare Talend and SSIS, Talend provides more features. With Talend, we can handle a large volume of data. Talend is usually used to treat a large volume of data, which makes it better than SSIS on the data side. Talend also has a very good Talend Management Console to schedule the jobs and do other things. It can also be easily connected to version control tools such as GitHub or SVN. The last time I used SSIS, it was connected through TSS for the Windows Console version. I am not sure it has been improved or not. If it is not improved, Microsoft should improve it. They should change the product to provide another console."

"There is connectivity with other databases, however, this is the most significant issue that has to be addressed."

"The high prices attached to the product can be an area of concern where improvements are required."

"In terms of its performance, it could be better. That could be something that would be easy and welcomed as an upgrade."

"SSIS can improve by the minimum code requirements in stored procedures and exporting data is difficult. They could make it easier, it should be as easy as it is to import data."

More SSIS cons

Pricing and Cost Advice

"Sometimes we provide the licenses or the customer can procure their own licenses. Previously, we had an enterprise license. Currently, we are on a community license as this is adequate for our needs."

"There was a cost analysis done and Pentaho did favorably in terms of cost."

"It does seem a bit expensive compared to the serverless product offering. Tools, such as Server Integration Services, are "almost" free with a database engine. It is comparable to products like Alteryx, which is also very expensive."

"When we first started with it, it was much cheaper. It has gone up drastically, especially since Hitachi bought out Pentaho."

"I mostly used the open-source version. I didn't work with a license."

"The price of the regular version is not reasonable and it should be lower."

"You don't need the Enterprise Edition, you can go with the Community Edition. That way you can use it for free and, for free, it's a pretty good tool to use."

"We are using the Community Edition. We have been trying to use and sell the Enterprise version, but that hasn't been possible due to the budget required for it."

More Pentaho Data Integration and Analytics pricing and cost advice

"The solution comes free of cost."

"The solution is economical. You don't have to worry about the pricing as long as you're installing both services on the same server."

"It comes bundled with other solutions, which makes it difficult to get the price on the specific product."

"It would be beneficial if the solution had a less costly cloud offering."

"This solution has provided an inexpensive tool, and it is easy to find experienced developers."

"This solution is included with the MSSQL server package."

"SSIS' licensing is a little high, but it gives good value for money."

"Depending on the arrangement that a certain company has with Microsoft, it may supply the permanent license that is included in the SQL server license, or it may be a time-bound license if it is a partner license or other enterprise license."

More SSIS pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

824,053 professionals have used our research since 2012.

Comparison Review

it_user90069

BI Expert at a healthcare company with 1,001-5,000 employees

Feb 20, 2014

Informatica PowerCenter vs. Microsoft SSIS - each technology has its advantages but also have similarities

Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations…

Read full review

Answers from the Community

RajneeshShukla

Solution Architect at a tech vendor with 10,001+ employees

Sep 9, 2021

Which ETL tool would you recommend to populate data from OLTP to OLAP?

There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cubes . price approx 40K$, works with tables . Attunity (Bought by Qlik) : technology agnostic , nice web interface , expensive > 100K€. Works with transaction logs There are many other pure ETL ...

2 out of 12 answers

Stefan Schäfer

CEO / Owner with 51-200 employees

Apr 6, 2020

We usually use Talend. Look here: https://community.talend.com/t5/Design-and-Development/The-way-from-OLTP-to-OLAP/td-p/116719

Read full answer

RajneeshShukla

Solution Architect at a tech vendor with 10,001+ employees

Apr 7, 2020

Thanks Stefan !!! May I know if Talend is opensource /free ? It is available in all 3 editions - basic , standard end enterprise? it is capable to read data from all heterogeneous system like various types of data bases and files etc..?

Read full answer

See all 12 answers

Top Industries

By visitors reading reviews

Financial Services Firm

23%

Computer Software Company

15%

Government

Comms Service Provider

Financial Services Firm

18%

Computer Software Company

12%

Government

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Which ETL tool would you recommend to populate data from OLTP to OLAP?

Hi Rajneesh, yes here is the feature comparison between the community and enterprise edition : https://www.hitachivantara.com/en-us/pdf/brochure/leverage-open-source-benefits-with-assurance-of-hita...

See all answers

What do you think can be improved with Hitachi Lumada Data Integrations?

In my opinion, the reporting side of this tool needs serious improvements. In my previous company, we worked with Hitachi Lumada Data Integration and while it does a good job for what it’s worth, ...

See all answers

What do you use Hitachi Lumada Data Integrations for most frequently?

My company has used this product to transform data from databases, CSV files, and flat files. It really does a good job. We were most satisfied with the results in terms of how many people could us...

See all answers

Which is better - SSIS or Informatica PowerCenter?

SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free compo...

See all answers

What do you like most about SSIS?

The product's deployment phase is easy.

See all answers

What is your experience regarding pricing and costs for SSIS?

The solution comes free of cost.

See all answers

Comparisons

Oracle Data Integrator (ODI) vs Pentaho Data Integration and Analytics

Compared 15% of the time

Talend Open Studio vs Pentaho Data Integration and Analytics

Compared 10% of the time

Azure Data Factory vs Pentaho Data Integration and Analytics

Compared 10% of the time

Informatica PowerCenter vs Pentaho Data Integration and Analytics

Compared 7% of the time

AWS Glue vs Pentaho Data Integration and Analytics

Compared 7% of the time

More Pentaho Data Integration and Analytics Competitors

Informatica PowerCenter vs SSIS

Compared 23% of the time

Talend Open Studio vs SSIS

Compared 13% of the time

Oracle Data Integrator (ODI) vs SSIS

Compared 8% of the time

IBM InfoSphere DataStage vs SSIS

Compared 8% of the time

FME vs SSIS

Compared 2% of the time

More SSIS Competitors

Product Reports

Buyer's Guide

Pentaho Data Integration and Analytics

December 2024

Pentaho Data Integration and Analytics report

Download Pentaho Data Integration and Analytics product report

Buyer's Guide

SSIS

November 2024

Download SSIS product report

Also Known As

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

SQL Server Integration Services

Learn More

Hitachi Vantara

Microsoft

Overview

Pentaho Data Integration stands as a versatile platform designed to cater to the data integration and analytics needs of organizations, regardless of their size. This powerful solution is the go-to choice for businesses seeking to seamlessly integrate data from diverse sources, including databases, files, and applications. Pentaho Data Integration facilitates the essential tasks of cleaning and transforming data, ensuring it's primed for meaningful analysis. With a wide array of tools for data mining, machine learning, and statistical analysis, Pentaho Data Integration empowers organizations to glean valuable insights from their data. What sets Pentaho Data Integration apart is its maturity and a vibrant community of users and developers, making it a reliable and cost-effective option. Pentaho Data Integration offers a range of features, including a comprehensive ETL toolkit, data cleaning and transformation capabilities, robust data analysis tools, and seamless deployment options for data integration and analytics solutions, making it a go-to solution for organizations seeking to harness the power of their data.

SSIS is a versatile tool for data integration tasks like ETL processes, data migration, and real-time data processing. Users appreciate its ease of use, data transformation tools, scheduling capabilities, and extensive connectivity options. It enhances productivity and efficiency within organizations by streamlining data-related processes and improving data quality and consistency.

Sample Customers

66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute

1. Amazon.com 2. Bank of America 3. Capital One 4. Coca-Cola 5. Dell 6. E*TRADE 7. FedEx 8. Ford Motor Company 9. Google 10. Home Depot 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Foods 15. Lockheed Martin 16. McDonald's 17. Microsoft 18. Morgan Stanley 19. Nike 20. Oracle 21. PepsiCo 22. Procter & Gamble 23. Prudential Financial 24. RBC Capital Markets 25. SAP 26. Siemens 27. Sony 28. Toyota 29. UnitedHealth Group 30. Visa 31. Walmart 32. Wells Fargo

Buyer's Guide

Pentaho Data Integration and Analytics vs. SSIS

November 2024

Free Report: Pentaho Data Integration and Analytics vs. SSIS

Find out what your peers are saying about Pentaho Data Integration and Analytics vs. SSIS and other solutions. Updated: November 2024.

DOWNLOAD NOW

824,053 professionals have used our research since 2012.

See our Pentaho Data Integration and Analytics vs. SSIS report.

See our list of best Data Integration vendors.

We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.