Hitachi Lumada Data Integration vs WhereScape RED comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Hitachi Lumada Data Integration and WhereScape RED based on real PeerSpot user reviews.

Find out in this report how the two Data Integration Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Hitachi Lumada Data Integration vs. WhereScape RED Report (Updated: March 2023).
688,083 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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.""This solution allows us to create pipelines using a minimal amount of custom coding.""It's my understanding that the product can scale.""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.""The abstraction is quite good.""Lumada has allowed us to interact with our employees more effectively and compensate them properly. One of the cool things is that we use it to generate commissions for our salespeople and bonuses for our warehouse people. It allows us to get information out to them in a timely fashion. We can also see where they're at and how they're doing.""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.""It has a really friendly user interface, which is its main feature. The process of automating or combining SQL code with some databases and doing the automation is great and really convenient."

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"WhereScape is really helpful in terms of architecture data. Everything is one of automation. Two people can do thousands of tables in one day or two. It saves a lot of time.""The most valuable feature is the metadata generated code."

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Cons
"I would like to see improvement when it comes to integrating structured data with text data or anything that is unstructured. Sometimes we get all kinds of different files that we need to integrate into the warehouse.""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 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.""The reporting definitely needs improvement. There are a lot of general, basic features that it doesn't have. A simple feature you would expect a reporting tool to have is the ability to search the repository for a report. It doesn't even have that capability. That's been a feature that we've been asking for since the beginning and it hasn't been implemented yet.""Its basic functionality doesn't need a whole lot of change. There could be some improvement in the consistency of the behavior of different transformation steps. The software did start as open-source and a lot of the fundamental, everyday transformation steps that you use when building ETL jobs were developed by different people. It is not a seamless paradigm. A table input step has a different way of thinking than a data merge step.""The performance could be improved. If they could have analytics perform well on large volumes, that would be a big deal for our products.""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.""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."

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"Project-based searching of data objects in the data warehouse browser needs to be improved.""Technical support isn't the best."

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Pricing and Cost Advice
  • "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."
  • "There was a cost analysis done and Pentaho did favorably in terms of cost."
  • "If a company is looking for an ETL solution and wants to integrate it with their tech stack but doesn't want to spend a bunch of money, Pentaho is a good solution"
  • "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."
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    Questions from the Community
    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 »
    Top Answer:I like the data vault implementations.
    Top Answer:Customization could be better. When you need to modify or write some custom code, it can get a little messy. Performance can also be better. It would be nice to have synchronicity when integrating… more »
    Top Answer:I used WhereScape RED to do a proof of concept and understand how it worked.
    Ranking
    6th
    Views
    6,004
    Comparisons
    3,376
    Reviews
    24
    Average Words per Review
    1,319
    Rating
    7.8
    20th
    Views
    5,619
    Comparisons
    3,341
    Reviews
    2
    Average Words per Review
    721
    Rating
    8.5
    Comparisons
    Also Known As
    Kettle, Pentaho Data Integration
    Learn More
    WhereScape
    Video Not Available
    Overview

    Hitachi Lumada Data Integration is a top-raking data integration tool that aims to deliver accurate data from various sources to end users. This is a complete data integration platform that utilizes visual tools in the delivery of analytics-ready data. The product eliminates coding and complexity to ensure equal accessibility of its services to IT users as well as businesses that do not specialize in the field.

    The solution offers powerful data integration, which is achieved through:

    • Accelerated data onboarding
    • Flexible data self-service
    • Robust data flow orchestration

    Users of Hitachi Lumada Data Integration can collaborate to build, deploy, and monitor dataflows in order to streamline data delivery. The visual tools of the product reduce the time of operation and lower complexity, allowing even beginners to operate the platform seamlessly. The onboarding process is initiated through broad connectivity to a wide variety of data sources and applications.

    A drag-and-drop interface allows users to easily create data pipelines and ready-made templates to execute edge to cloud. The product provides users with the opportunity to blend data on premises or using cloud services, including Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). The tool allows for a seamless switch between the native engine and Apache Spark, and operationalizes Python, Scala, and Weka machine-learning models.

    The tool offers features for extensive business analytics through:

    • Ad-hoc analysis
    • Flexible interface
    • Enterprise reporting

    Hitachi Lumada Data Integration offers its clients modern data architectures for data analytics. Through interactive visualizations and easy integration, users are able to increase data integrity for their organizations. The product offers a web-based drag-and-drop dashboard for a flexible experience, collaboration with other applications, and advanced multi tenancy. There is special enterprise reporting which consists of operational self-serving reporting, security with content permissions, and additional high-level protection, achieved through locking, and expirations.

    Hitachi Lumada Data Integration Features

    The tool offers its clients various features which can be used to achieve efficient data integration and further analysis. These features include:

    • Data access: The tool allows users to access data sources at the edge, core, and cloud. This reduces the time and complexity of the process while blending sources to deliver data in a format ready to be analyzed.

    • Machine learning: The solution offers a feature to orchestrate machine learning. R, Python, Scale, and Weka models are provided to users of this product.

    • Enterprise reporting: Hitachi Lumada Data Integration provides its clients with detailed visualized reporting. This feature is highly secured, which provides additional protection for clients' data.

    • Connect and move: This feature offers users the option to connect to sources on premises or in the cloud and move data of any size and format.

    • Flexibility: The product allows users broad connectivity and flexibility with no vendor lock-in to on-premise or cloud services.

    • Cluster to container: The tool offers the option to create scalable pipelines with Kubernetes clusters. This is possible across multiple clouds.

    • Dataflow studio: This feature allows users to build and manage data pipelines, view run metrics, analyze activities, and resume paused ones.

    • Authoring: The tool has an editor feature, which allows for the transformation of activities while the dataflow is in progress.

    Hitachi Lumada Data Integration Benefits

    The tool offers increased work productivity through efficient data integration. A number of the benefits include:

    • Ability to increase productivity in the work process due to effective automation.

    • Production deployment time can be sped up while saving costs for the company.

    • The no-code functionality improves pipeline quality in comparison to hand-coding data.

    • The tool offers high-quality reports which reduce implementation time.

    • Employees can save time and resources by manually embedding reporting and applications through this solution.

    • The utilization of this tool can increase business user adoption by improving data accuracy.

    Reviews from Real Users

    Philip R., a senior engineer at a comms service provider, says this product "Saves time and makes it easy for our mixed-skilled team to support the product".

    Ryan F., a senior data engineer at Burgiss, appreciates Hitachi Lumada Data Integration because low-code makes development faster than with Python.

    WhereScape is data warehouse software that automates the Data Warehouse lifecycle. From implementation to maintenance, WhereScape will ensure your data warehouse projects are completed up to 5x faster than manual coding.

    Offer
    Learn more about Hitachi Lumada Data Integration
    Learn more about WhereScape RED
    Sample Customers
    66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
    British American Tobacco, Cornell University, Allianz Benelux, Finnair, Solarwinds and many more.
    Top Industries
    REVIEWERS
    Healthcare Company19%
    Financial Services Firm19%
    Comms Service Provider11%
    Manufacturing Company11%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Comms Service Provider13%
    Financial Services Firm13%
    Government7%
    REVIEWERS
    Healthcare Company21%
    University21%
    Manufacturing Company21%
    Non Profit7%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm10%
    Government10%
    Insurance Company9%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise31%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise10%
    Large Enterprise65%
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise15%
    Large Enterprise71%
    Buyer's Guide
    Hitachi Lumada Data Integration vs. WhereScape RED
    March 2023
    Find out what your peers are saying about Hitachi Lumada Data Integration vs. WhereScape RED and other solutions. Updated: March 2023.
    688,083 professionals have used our research since 2012.

    Hitachi Lumada Data Integration is ranked 6th in Data Integration Tools with 24 reviews while WhereScape RED is ranked 20th in Data Integration Tools with 2 reviews. Hitachi Lumada Data Integration is rated 7.8, while WhereScape RED is rated 8.6. The top reviewer of Hitachi Lumada Data Integration writes "Saves time and makes it easy for our mixed-skilled team to support the product, but more guidance and better error messages are required in the UI". On the other hand, the top reviewer of WhereScape RED writes "Quick to set up, flexible, and stable". Hitachi Lumada Data Integration is most compared with SSIS, Talend Open Studio, Informatica Enterprise Data Catalog, Azure Data Factory and Collibra Catalog, whereas WhereScape RED is most compared with Azure Data Factory, SSIS, Informatica PowerCenter, Matillion ETL and AWS Glue. See our Hitachi Lumada Data Integration vs. WhereScape RED report.

    See our list of best Data Integration Tools vendors and best Cloud Data Integration vendors.

    We monitor all Data Integration Tools 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.