Collibra Catalog vs Pentaho Data Integration and Analytics comparison

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Collibra Logo
1,059 views|884 comparisons
100% willing to recommend
Hitachi Vantara Logo
3,346 views|1,127 comparisons
94% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Informatica, Alation, SAP and others in Metadata Management.
To learn more, read our detailed Metadata Management Report (Updated: April 2024).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Collibra Catalog's best feature is the data quality checker.""The data lineage capability is valuable as it shows how different sources are connected and how data flows, which is crucial for projects like migrations. Moreover, data lineage visualization in Collibra Catalog aids our data governance initiatives.""Collibra Catalog is simple to use and user-friendly for those who are not technically inclined since it is easy to find while also easy to see data lineage diagrams.""We have had no complaints about the stability.""Collibra Catalog has significantly enhanced data governance and compliance for our team, primarily through its valuable feature of endpoint lineage enabling visual representation of the data."

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"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.""The amount of data that it loads and processes is good.""This solution allows us to create pipelines using a minimal amount of custom coding.""We're using the PDI and the repository function, and they give us the ability to easily generate reporting and output, and to access data. We also like the ability to schedule.""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.""It's very simple compared to other products out there.""The fact that it's a low-code solution is valuable. It's good for more junior people who may not be as experienced with programming.""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."

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Cons
"A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of sources.""Collibra Catalog could improve its automation to increase the efficiency of the software.""The tool's overall functionalities need to improve since, nowadays, many tools, from a business perspective, are easy to use.""I'd like to see more integration with other reporting sources."

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"It could be better integrated with programming languages, like Python and R. Right now, if I want to run a Python code on one of my ETLs, it is a bit difficult to do. It would be great if we have some modules where we could code directly in a Python language. We don't really have a way to run Python code natively.""I work with different databases. I would like to work with more connectors to new databases, e.g., DynamoDB and MariaDB, and new cloud solutions, e.g., AWS, Azure, and GCP. If they had these connectors, that would be great. They could improve by building new connectors. If you have native connections to different databases, then you can make instructions more efficient and in a more natural way. You don't have to write any scripts to use that connector.""Some of the scheduling features about Lumada drive me buggy. The one issue that always drives me up the wall is when Daylight Savings Time changes. It doesn't take that into account elegantly. Every time it changes, I have to do something. It's not a big deal, but it's annoying.""The performance could be improved. If they could have analytics perform well on large volumes, that would be a big deal for our products.""​There is not a data quality or MDM solution in the Pentaho DI suite.​""​I work with the Community Edition, therefore I do not have support. There was an issue that I could not resolve with community support.​""I was not happy with the Pentaho Report Designer because of the way it was set up. There was a zone and, under it, another zone, and under that another one, and under that another one. There were a lot of levels and places inside the report, and it was a little bit complicated. You have to search all these different places using a mouse, clicking everywhere... each report is coded in a binary file... You cannot search with a text search tool...""I have been facing some difficulties when working with large datasets. It seems that when there is a large amount of data, I experience memory errors."

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Pricing and Cost Advice
  • "I think they can bring a few more features and align better with other quality products."
  • "Collibra Catalog is fairly priced - I would rate their pricing seven out of ten."
  • "The product is highly priced compared to other vendors."
  • "Collibra offers a per-user licensing model."
  • More Collibra Catalog Pricing and Cost Advice →

  • "There is a good open source option (Community Edition)​."
  • "The price of the regular version is not reasonable and it should be lower."
  • "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."
  • "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."
  • "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."
  • "When we first started with it, it was much cheaper. It has gone up drastically, especially since Hitachi bought out Pentaho."
  • "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."
  • "The pricing has been pretty good. I'm used to using everything open-source or freeware-based. I understand that organizations need to make sure that the solutions are secure, and that's basically where I hit a roadblock in my current organization. They needed to ensure that we had a license and we had a secure way of accessing it so that no outside parties could get access to our data, but in terms of pricing, considering how much other teams are spending on cloud solutions or even their existing solutions, its price point is pretty good. At this time, there are no additional costs. We just have the licensing fees."
  • More Pentaho Data Integration and Analytics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The data lineage capability is valuable as it shows how different sources are connected and how data flows, which is crucial for projects like migrations Moreover, data lineage visualization in… more »
    Top Answer:I'd like to see more integration with other reporting sources like Qlik Sense, beyond the currently supported ones like Tableau and Power BI.
    Top Answer:Hi Rajneesh yes here is the feature comparison between the community and enterprise edition :… more »
    Top Answer: 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, it… more »
    Top Answer: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 use… more »
    Ranking
    5th
    out of 27 in Metadata Management
    Views
    1,059
    Comparisons
    884
    Reviews
    4
    Average Words per Review
    327
    Rating
    7.8
    16th
    out of 100 in Data Integration
    Views
    3,346
    Comparisons
    1,127
    Reviews
    15
    Average Words per Review
    1,193
    Rating
    7.7
    Comparisons
    Also Known As
    Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration
    Learn More
    Overview

    Collibra Catalog is both a report and a data catalog that helps analysts and information users spend less time looking for essential clinical, financial, and operational data and more time solving critical business challenges.

    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.

    Sample Customers
    AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
    66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Computer Software Company14%
    Energy/Utilities Company6%
    Manufacturing Company6%
    REVIEWERS
    Healthcare Company19%
    Financial Services Firm19%
    Comms Service Provider11%
    Manufacturing Company11%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company14%
    Comms Service Provider12%
    Government7%
    Company Size
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise9%
    Large Enterprise75%
    REVIEWERS
    Small Business27%
    Midsize Enterprise31%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise11%
    Large Enterprise68%
    Buyer's Guide
    Metadata Management
    April 2024
    Find out what your peers are saying about Informatica, Alation, SAP and others in Metadata Management. Updated: April 2024.
    768,578 professionals have used our research since 2012.

    Collibra Catalog is ranked 5th in Metadata Management with 5 reviews while Pentaho Data Integration and Analytics is ranked 16th in Data Integration with 48 reviews. Collibra Catalog is rated 7.8, while Pentaho Data Integration and Analytics is rated 8.0. The top reviewer of Collibra Catalog writes "A user-friendly for those who are not technically inclined and useful for cataloging various reports". On the other hand, the top reviewer of Pentaho Data Integration and Analytics writes "It's flexible and can do almost anything I want it to do". Collibra Catalog is most compared with Informatica Enterprise Data Catalog, Ab Initio Co>Operating System, Talend Data Management Platform, Palantir Foundry and PoolParty Semantic Suite, whereas Pentaho Data Integration and Analytics is most compared with Azure Data Factory, SSIS, Talend Open Studio, Oracle Data Integrator (ODI) and IBM InfoSphere DataStage.

    We monitor all Metadata Management 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.