Sold by: Hitachi Vantara LLC
Deployed on AWS
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Automated Discovery, Classification, and Optimization - Know Your Data. Trust Your Data. Build Your Data Products.
4.3
Overview
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Datasheet:Pentaho Data Catalog
Pentaho Data Catalog Helps Business Users Search and Understand
Structured and Unstructured Data Everywhere
Without a library catalog, people cannot discover the book they need. Without a data catalog, people cannot discover the data they need. With Pentaho Data Catalog, you can see all the data you have, whatever form it takes, wherever it sits, check it, classify it and make it available to users.
Get Faster and More Meaningful Data to Users
A modern organization must be data fit. As data grows, so does the need and cost of maintaining the data in business-ready shape. To leverage data for business decisions and enable AI, data must be trusted, high quality and seamlessly available to the data users. Now more than ever, there is a need to discover content across structured and unstructured, on-prem and cloud. Organizations must monitor their data to spot trends and anomalies and maintain data hygiene at the speed of data growth. Policies for governing, life cycle and quality need to be enforced to ensure appropriate high-quality data is available to consumers. Data users and models can easily find and use data via the data catalog, a necessity for modern data-drive organizations.
Powerful Business Glossary Using Machine Learning
Pentaho Data Catalog (PDC) rapidly ingests, profiles and curates structured and unstructured data with both automation and machine learning. Fingerprinting of data and metadata rules are used to contextualize data with the language of the business documented in the business glossary. Its policy manager enables the implementation of governance and security policies.
A powerful rules engine helps determine quality, sensitivity, and usage patterns. Activate your metadata by leveraging monitoring and notification capabilities in the product. Construct a relationship graph across business entities and terms to add semantic understanding to data.
Data fingerprints are analyzed to determine potential duplicates, copies and similarities across data stores to assess data movement, optimization and mastering needs. Data lineage support for Open Lineage provides the ability to track data as it flows through your organization, building trust and enabling a left shift of data quality and remediation activities.
Understand Data
Automatically find, analyze and tag structured and unstructured data across. Contextualize with business glossary and governance policies.
Activate Metadata
Observe data to define measures for data over time. Monitor metadata and act upon changes, trends and anomalies in data. Leverage event-driven architecture to apply remediation before any impact is noticed downstream.
Data-Fit for AI
Trusted and high-quality data is made available to decision makers with a shopping experience. Catalog users deliver data to the desired destination with a No Code Data Pipe build experience.
Optimization and Compliance
Measure data utilization, value and aging to make optimized storage decisions. Automated classification and characterization enable the application of life cycle, governance and access policies.
Manage All Your Data
Manage structured and unstructured data connected to multiple and disparate data stores, such as RDBMS Systems, File Systems (NFS, HDFS, SMB) and Object Stores.
Governance for the Enterprise
Bring business and governance vocabulary, policies and standards and their application to data and applications and reports. Determine lineage and usage.
Feature Rich
Bring in reference data, usage characteristics, view semantic relationships, customize properties.
Enterprise Scale
Modern architecture is designed to scale with your data at petabyte scale – without affecting business or systems.
Make Better Business Decisions with Better Data
Datawith its full context, informed of its characteristics, qualified for accuracy, sensitivity, freshness helps with correctness of business decisions.
Flexibility through Modular Extensibility
Choose the applications you need and build from there – with modules for privacy, security and governance.
Highlights
- Capture metadata from data sources: PDC can capture metadata for structured and unstructured data, which can be used to build a business glossary to provide business context to data.
- Stewardship workbench: PDC provides a stewardship workbench to curate and augment captured metadata. This feature helps capture classification, usage, lineage and apply policies to data assets.
- Build Data Market Place: PDC provides a single point of entry for the organization to capture business vocabulary, terms with descriptive information to align towards better communication. It also classifies data to determine business value as well as risk association.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 20.04 LTS
Deployed on AWS
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Features and programs
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AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 31 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
m5.8xlarge Recommended | $108.173 |
m5.4xlarge | $108.173 |
Dimensions summary
You pay by the hour based on the EC2 instance size you run. Both dimensions bill Pentaho Data Catalog on the same hourly, usage-based model, so cost scales with how long each instance runs. The two options differ by compute capacity: m5.8xlarge provides more vCPUs and memory than m5.4xlarge. Choose the larger m5.8xlarge for heavier production workloads, or the m5.4xlarge for lighter needs. There is no upfront commitment; you are charged only for the hours the instance runs. Running instances continuously or in parallel increases your total hourly charges.
Top-of-mind questions for buyers
Each option maps to an EC2 instance size running Pentaho Data Catalog. The m5.8xlarge carries more vCPUs and memory than the m5.4xlarge. Documentation suggests a 2xlarge or larger instance for production use. Larger instances handle heavier ingestion, profiling, and classification workloads on more data.
Hourly software charges apply only while the instance runs. Stopped instances do not accrue software charges. However, stopped instances may still incur underlying AWS storage fees for their attached disks. The documentation recommends at least 512 GiB of storage for a production instance.
Both instance sizes run the same Pentaho Data Catalog software with the same features. The difference is compute capacity only. The m5.8xlarge provides more vCPUs and memory, which supports heavier or larger production workloads. Choose the size based on your data volume and processing needs, not on feature differences.
docs.pentaho.com
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Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
PDC Documentation: https://docs.pentaho.com/pdc-use/pdc-10.2-use
PDC Getting Started: https://docs.pentaho.com/pdc-get-started
PDC Administer: https://docs.pentaho.com/pdc-admin/pdc-10.2-admin
Launching PDC on AWS: https://docs.pentaho.com/pdc-use/pdc-10.2-use
Resources
Support
Vendor support
Customer Care Technical Support (800) 446-0744. Our Global Support Center is available by phone 24 hours each day, 7 days per week. If your product is maintained by a Hitachi Maintenance and Support Partner please contact them for support, based upon the contractual agreement.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Dhiraj D.
One the best ETL tool
Reviewed on Aug 08, 2025
Review provided by G2
What do you like best about the product?
It's a open source software still it's a very user-friendly interface and I just love all functionalities . It's a very simple design steps which are self explanatory kind of , easy to use.
What do you dislike about the product?
Sometimes faces performance issues when data volume is huge
What problems is the product solving and how is that benefiting you?
We are using for our data pipelines and it's benifits us for loading of data used for our application and we use it for reporting purposes.
Sandeep C.
Pentaho an etl tool for business
Reviewed on Mar 12, 2025
Review provided by G2
What do you like best about the product?
Pentaho is one of the best ETL tools to extract, transform, and load data among various sources. It just requires connections to the database and transfers data very fast. It also executes SQL and generates reports into Excel or any other required source. It has all basic components like execute SQL, table input, Excel input, Excel output, TXT output, HDFS output.
What do you dislike about the product?
Pentaho job runs fast but modifying a job is time-consuming. It is usually so slow. Better if it were as fast as any other application and also required some tutorials from Pentaho's side.
What problems is the product solving and how is that benefiting you?
It is usually best to transfer huge data from one source to another like Oracle to Hue. It is best to generate reports into Excel using SQL queries.
Karthick V.
Totally worth it!!
Reviewed on Mar 31, 2022
Review provided by G2
What do you like best about the product?
Best price in market, Hitachi sponsored and high quality in data integration.
What do you dislike about the product?
Limitation in features, connector is having portability issue and less user friendly.
What problems is the product solving and how is that benefiting you?
We used PDI for data integration for designed reports. So far, had the best experience.
Information Technology and Services
ETL for Dashboards
Reviewed on Oct 08, 2020
Review provided by G2
What do you like best about the product?
Pentaho Data Integration (aka Kettle) is a tool included in the Pentaho suite that we use in our Smart Cities projects to obtain data from various data sources. It has a large number of tools already built for Input, Output, Transform ... that allow developers to save a lot of time. Its use is easy even for inexperienced users.
What do you dislike about the product?
If we want to have support with the Pentaho suite we should not use its Community version (free), but in some Smart Cities specifications of our clients they require a free and open source tool with associated support.
What problems is the product solving and how is that benefiting you?
PDI allows us to obtain data from various data sources such as databases, excel files, csv, big data / hadoop type databases and use preconfigured tools so that obtaining this data is simple and parameterizable. Other languages such as python require the writing of complete modules, with PDI the implementation and debugging are integrated through Plug & Play tools.
Recommendations to others considering the product:
The Pentaho suite has a Community version that is free and free software, so our recommendation is to download it and test it to verify that this tool meets your requirements. For our part, we recommend it as we use it practically whenever we need to extract data from a data source quickly and easily.
Information Technology and Services
ETL with graphical interface
Reviewed on Jun 10, 2020
Review provided by G2
What do you like best about the product?
Pentaho data integration is one of the most powerful tools for building ETL processes that we use within our Smart Cities projects. It is a tool with a graphical interface that allows you to debug quickly and easily and has a multitude of preconfigured modules. Furthermore, it combines very well with the Hitachi Pentaho CDE tool for the generation of Dashboards.
What do you dislike about the product?
When you want to do a very simple development maybe you can choose to use Python source code directly. There are other powerful alternatives like Talend Studio.
What problems is the product solving and how is that benefiting you?
Pentaho Data Integration allows us to collect data from different data sources such as both relational and non-relational databases such as Big Data (HDFS), it allows us to bring information from Excel files ... and almost from any source of information we need. Also, their debugging tools save us a lot of time.
Recommendations to others considering the product:
Pentaho has a suite called Community that is free and available to everyone. In addition, it has many examples and information. We recommend trying it out before deciding if we need to purchase the paid version. It is a great tool and we recommend it.