Ascend.io vs Pentaho Data Integration and Analytics comparison

Why PeerSpot?

Ascend.io and Hitachi Vantara are both solutions in the Data Integration category. Ascend.io is ranked #45 with an average rating of 8.8, while Hitachi Vantara is ranked #8 with an average rating of 7.7. Ascend.io holds a 0.4% mindshare in DI, compared to Hitachi Vantara’s 1.9% mindshare. Additionally, 100% of Ascend.io users are willing to recommend the solution, compared to 95% of Hitachi Vantara users who would recommend it.

Ascend.io

Read 4 Ascend.io reviews

2,252 Views
1,194 Comparison Views

100% willing to recommend

Pentaho Data Integration an...

Read 61 Pentaho Data Integration and Analytics reviews

10,001 Views
7,901 Comparison Views

95% willing to recommend

Ascend.io

Pentaho Data Integration an...

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Executive Summary

We performed a comparison between Ascend.io and Pentaho Data Integration and Analytics based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Ascend.io vs. Pentaho Data Integration and Analytics Report (Updated: November 2026).

Buyer's Guide

Ascend.io vs. Pentaho Data Integration and Analytics

November 2026

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Helped 921,523 peers since 2012

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

Ascend.io

Ranking in Data Integration

45th

Average Rating

8.8

Reviews Sentiment

5.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Pentaho Data Integration an...

Ranking in Data Integration

8th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Ascend.io is 0.4%, up from 0.3% compared to the previous year. The mindshare of Pentaho Data Integration and Analytics is 1.9%, up from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Pentaho Data Integration and Analytics	1.9%
Ascend.io	0.4%
Other	97.7%

Data Integration

Featured Reviews

reviewer2784462

Software Engineer at a tech vendor with 10,001+ employees

Automated data pipelines have transformed complex workloads and now deliver faster, reliable insight

The standout feature is the Data Awareness Engine, in my opinion the intelligent control plane. Unlike traditional orchestrators that run tasks based on schedules or external events, Ascend.io understands the state of the data. If a source file changes or transformation logic is updated, the engine automatically identifies only the impacted data partitions and recalculates exclusively those. This eliminated the need to write complex logic for partial reloads and ensures that downstream data is always consistent with the latest version of the code. Ascend.io impacted my organization positively because it helped me solve my problem by solving our operational maintenance crisis. Previously, every time a Spark job failed, we had to manually intervene to clean up partial data and restart the pipeline. With Ascend.io, infrastructure management and checkpointing are fully automated. It drastically reduced our technical debt, allowing our data engineers to focus on business logic rather than cluster management or writing boilerplate ingestion code. Code reduction eliminated 60% to 70% of custom Spark code. Operational cost saw a 30% reduction in man-hours dedicated to pipeline maintenance and incident management. The meantime to recovery reduced from hours to minutes due to automatic failure tracking. With Ascend.io, you write what you want, not how to do it. It is a declarative approach and reduces code by 80%. This is very important to me. A good feature is the integrated lineage because an instant visualization of data flow across all components is very useful.

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Michelle Lawson

Principal Software Engineer at a tech vendor with 10,001+ employees

Streamlines complex data workflows and has supported automated customer payment notifications

I haven't used Pentaho Data Integration and Analytics in a couple of years, so I don't know how it can be improved. I was pretty pleased with it and was self-taught on it, working a lot with their team at various times, but they were surprised that I was able to learn it all by myself. The documentation is not bad, and documentation is the main thing that any product can do to make themselves better because the easier it is to find examples of what you're trying to do improves the learning curve. I think it took me the longest to learn how to do the asynchronous processing and have things wait for other things to finish processing before continuing on in the workflow. I choose 8 out of 10 because the one reason that it's been rejected at T-Mobile is that everything has to go through a provisioning process and has to get approved, meaning the actual code base has to be investigated by T-Mobile before they'll allow us to use tools of that nature. For whatever reason, we just haven't been able to get that approval; I don't know if it's on Pentaho Data Integration and Analytics' side or if it's on our side. The more you can make it easier for companies to feel comfortable that your product is secure, robustly tested and bug-free, and free of any other kind of negative hacks, the more quickly it will get accepted.

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

"With Ascend.io, infrastructure management and checkpointing are fully automated, drastically reducing our technical debt, allowing our data engineers to focus on business logic rather than cluster management or writing boilerplate ingestion code."

"We have seen positive results, particularly in the time spent monitoring and troubleshooting the data pipelines, as Ascend.io has reduced manual investigation effort by approximately 30 to 40% because we can see pipeline dependencies, execution history, and data quality results in one place."

"One of the best features Ascend.io offers is Agentic analytics, which applies Agentic AI within systems to verify and operationalize data products, and it is live, allowing you to build systems and visualizations that turn data and different data sets into production-ready workflows."

"Ascend.io has positively impacted my organization by making getting data much easier; it handles all those delta changes and other details from repeat calls, making the engineering aspect much easier, which means revisions and transformations could happen more frequently because our time was freed up."

"Overall it is an awesome tool."

"When we get a question from our CEO that needs a response and that requires a little bit of legwork of pulling in from various market data, our own in-house repositories, and everything else, it allows me to arrive at the solutions much faster than having to do it through scripting in Python, coding, or anything else."

"No software can give as complete functionality for fulfilling end user requirements as Pentaho."

"The solution has a free to use community version."

"I can use Python, which is open-source, and I can run other scripts, including Linux scripts. It's user-friendly for running any object-based language. That's a very important feature because we live in a world of open-source."

"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."

"Pentaho Data Integration and Analytics has positively impacted my organization because it meant we didn't have to write a lot of custom API back-end processing logic; it did the majority of that heavy lifting for us."

"It has made a world of difference."

More Pentaho Data Integration and Analytics pros

Cons

"Ascend.io can be improved by perhaps expanding its reach beyond small industries to get into big industries or large investment companies and big financial industries, revolutionizing how data plays certain roles in leadership and decision-making."

"Ascend.io can be improved regarding the initial learning curve because for those used to writing pure Spark code, a mindset shift is required to trust the tool's automation."

"Ascend.io could be improved by making the initial setup and onboarding more straightforward, especially for teams that are new to data engineering platforms."

"Ascend.io can be improved because it is very expensive to scale on top of utilizing Snowflake, which itself is exceptionally expensive, making it very hard for any small to medium-sized business to validate that expense."

"The support from Hitachi is not the greatest, the fixing of bugs can take a really long time."

"Although it is a low-code solution with a graphical interface, often the error messages that you get are of the type that a developer would be happy with. You get a big stack of red text and Java errors displayed on the screen, and less technical people can get intimidated by that. It can be a bit intimidating to get a wall of red error messages displayed. Other graphical tools that are focused at the power user level provide a much more user-friendly experience in dealing with your exceptions and guiding the user into where they've made the mistake."

"When dealing with substantial data volumes from cloud systems, performance can become an issue; even using the Enterprise Edition, the time required for executing particular pipeline tasks is notably high compared to other ETL tools such as ADF, DataBricks, or SSIS."

"In terms of our decision to purchase Hitachi's product services or solutions, our satisfaction level is average or on balance."

"Its UI is probably a bit too confusing for that level of user, so it doesn't allow us to get the tool as widely distributed across the organization to non-technical users as much as we would like."

"Their technical support is not good. I would rate them 2 out of 10 because they don't have good technical skills to solve problems."

"The more you can make it easier for companies to feel comfortable that your product is secure, robustly tested and bug-free, and free of any other kind of negative hacks, the more quickly it will get accepted."

"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."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

Information not available

"You need to go through the paid version to have Hitachi Lumada specialized support. However, if you are using the free version, then you will have only the community support. You will depend on the releases from Hitachi to solve some problem or questions that you have, such as bug fixes. You will need to wait for the newest versions or releases to solve these types of problems."

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

"I primarily work on the Community Version, which is available to use free of charge."

"I think Lumada's price is fair compared to some of the others, like BusinessObjects, which is was the other thing that I used at my previous job. BusinessObject's price was more reasonable before SAP acquired it. They jacked the price up significantly. Oracle's OBIEE tool was also prohibitively expensive."

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

"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."

"For most development tasks, the Enterprise edition should be sufficient. It depends on the type of support that you require for your production environment."

"The cost of these types of solutions are expensive. So, we really appreciate what we get for our money. Though, we don't think of the solution as a top-of-the-line solution or anything like that."

More Pentaho Data Integration and Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Construction Company

31%

Comms Service Provider

13%

Government

Financial Services Firm

Outsourcing Company

11%

Financial Services Firm

11%

Construction Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	18
Midsize Enterprise	17
Large Enterprise	32

Questions from the Community

What is your experience regarding pricing and costs for Ascend.io?

My experience with pricing, setup cost, and licensing was that the setup was fine and good, licensing was okay, but the pricing was the most challenging part, especially because Ascend.io used our ...

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What needs improvement with Ascend.io?

Ascend.io could be improved by making the initial setup and onboarding more straightforward, especially for teams that are new to data engineering platforms. This could include more guided tutorial...

See all answers

What is your primary use case for Ascend.io?

My main use case for Ascend.io is testing and validating data pipelines and integrations, where I use it to monitor data flows from source to destination, verify the transformations are working cor...

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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

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Product Reports

Buyer's Guide

Ascend.io

November 2026

Download Ascend.io product report

Buyer's Guide

Pentaho Data Integration and Analytics

October 2026

Pentaho Data Integration and Analytics report

Download Pentaho Data Integration and Analytics product report

Also Known As

No data available

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

Overview

Ascend.io powers data automation strategies by streamlining data pipelines through intelligent automation. It facilitates efficient data operations, helping organizations to adapt quickly and innovate faster.

Ascend.io offers a platform that enhances data engineering efficiency with automation, reducing manual workloads significantly. It enables faster data insights through its unique approach to automating data workflows. Ascend.io's architecture supports rapid scaling and makes data management easy by enabling seamless integration with existing data tools.

What are the most important features of Ascend.io?

Data Automation: Automates the entire data pipeline process for efficiency
Secure Data Connectivity: Ensures secure connection with data sources
Real-Time Analytics: Provides real-time data insights for better decision-making
Scalability: Supports growth and scaling with ease

What benefits or ROI should users look for in reviews?

Increased Efficiency: Reduces time spent on manual data tasks
Cost Savings: Lowers costs associated with data management
Improved Accuracy: Enhances data quality and reliability
Faster Time-to-Insight: Speeds up the process of gaining insights from data

In industries like healthcare and finance, Ascend.io enables effective data processing, ensuring compliance and accuracy. It supports industries by simplifying complex data tasks and driving innovative solutions through efficient data handling.

Ascend.io

Pentaho Data Integration and Analytics offers an intuitive platform for data workflows, enabling users to easily manage ETL processes across diverse data formats, ensuring seamless automation and development.

With its drag-and-drop interface, Pentaho allows for efficient ETL workflows without extensive coding. It supports a multitude of data formats and sources such as SQL, NoSQL, Hadoop, CSV, and JSON. Advanced features like metadata injection and API integration enable seamless automation. However, improvements in big data performance, better cloud service integration, and enhanced real-time processing capabilities can enhance user experience. Additional connectors and improved documentation are sought after by many. Providing support for more programming languages and optimizing memory usage also presents opportunities for enhancement.

What are the key features of Pentaho Data Integration and Analytics?

Drag-and-Drop Interface: Simplifies building workflows without coding.
Broad Data Support: Accommodates SQL, NoSQL, Hadoop, CSV, and JSON.
Advanced Automation: Leverages metadata injection and API integration.
Cost-Effectiveness: Offers value with comprehensive big data support.

What benefits should be evaluated in Pentaho reviews?

Versatility: Supports both on-premises and cloud solutions.
Data Integration: Facilitates seamless connection of disparate data sources.
Transparency: Enhances data management and reporting.
Scalability: Adapts to the growing data needs of organizations.

Pentaho is employed across finance, healthcare, and retail industries for ETL processes. It's instrumental in integrating data from ERP, SAP systems, Excel, and APIs to develop comprehensive reports and data models. Companies rely on its capabilities for both on-premises and cloud deployments, improving data transparency and management.

Hitachi Vantara

Sample Customers

Information Not Available

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

Buyer's Guide

Ascend.io vs. Pentaho Data Integration and Analytics

November 2026

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