Hitachi Lumada Data Integration vs SSIS comparison

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Executive Summary

We performed a comparison between Hitachi Lumada Data Integration and SSIS 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. SSIS Report (Updated: November 2022).
655,711 professionals have used our research since 2012.
Q&A Highlights
Question: Which ETL tool would you recommend to populate data from OLTP to OLAP?
Answer: 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.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved.""StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes.""It is a very powerful, modern data analytics solution, in which you can integrate a large volume of data from different sources. It integrates all of the data and you can design, create, and monitor pipelines according to your requirements. It is an all-in-one day data ops solution.""In StreamSets, everything is in one place.""I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks."

More StreamSets Pros →

"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.""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.""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.""This solution allows us to create pipelines using a minimal amount of custom coding.""The amount of data that it loads and processes is good.""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.""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."

More Hitachi Lumada Data Integration Pros →

"The most valuable feature of SSIS is that you can take data from other servers which are not MS SQL Server or Oracle.""The technical support is very good.""It is also easy to learn and user-friendly. Microsoft is also good in terms of technical support. They have built a large community all over the world.""It's saved time using visualization descriptions.""We like that this solution includes a developer edition, free of charge, to allow for training.""The debugging capabilities are great, particularly during data flow execution. You can look into the data and see what's going on in the pipeline.""SSIS provides you with lookup and transformation functions, and you have the flexibility to write your own custom code.""The performance and stability are good."

More SSIS Pros →

Cons
"The logging mechanism could be improved. If I am working on a pipeline, then create a job out of it and it is running, it will generate constant logs. So, the logging mechanism could be simplified. Now, it is a bit difficult to understand and filter the logs. It takes some time.""Sometimes, when we have large amounts of data that is very efficiently stored in Hadoop or Kafka, it is not very efficient to run it through StreamSets, due to the lack of efficiency or the resources that StreamSets is using.""If you use JDBC Lookup, for example, it generally takes a long time to process data.""Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful.""We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back."

More StreamSets Cons →

"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.""Since Hitachi took over, I don't feel that the documentation is as good within the solution. It used to have very good help built right in.""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.""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 product needs more plugins.""As far as I remember, not all connectors worked very well. They can add more connectors and more drivers to the process to integrate with more flows.""If you develop it on MacBook, it'll be quite a hassle.""The testing and quality could really improve. Every time that there is a major release, we are very nervous about what is going to get broken. We have had a lot of experience with that, as even the latest one was broken. Some basic things get broken. That doesn't look good for Hitachi at all. If there is one place I would advise them to spend some money and do some effort, it is with the quality. It is not that hard to start putting in some unit tests so basic things don't get broken when they do a new release. That just looks horrible, especially for an organization like Hitachi."

More Hitachi Lumada Data Integration Cons →

"It's difficult to refactor SSIS. It gets cumbersome to reuse the solution.""The security could be improved, as it is more important in our context.""Involving a data lake or data engineering aspects would be useful. While it is there, we need more features included.""The solution could improve by having quicker release updates.""Sometimes we need to connect to AWS to get additional data sources, so we have to install some external LAN and not a regular RDBMS. We need external tools to connect. It would be great if SSIS included these tools. I'd also like some additional features for row indexing and data conversion.""I have a tool called ZappySys. I need that tool to cut down on the complexity of SSIS. That tool really helps with a quick turnaround. I can do things quickly, and I can do things accurately. I can get better reporting on errors.""There is connectivity with other databases, however, this is the most significant issue that has to be addressed.""We purchase an add on called task factory primarily to allow bulk delete, update and upsert capability. I'd like to see this be part of the standard package."

More SSIS Cons →

Pricing and Cost Advice
  • "StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."
  • "It has a CPU core-based licensing, which works for us and is quite good."
  • "There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."
  • "The pricing is good, but not the best. They have some customized plans you can opt for."
  • More StreamSets Pricing and Cost Advice →

  • "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."
  • "There was a cost analysis done and Pentaho did favorably in terms of cost."
  • More Hitachi Lumada Data Integration Pricing and Cost Advice →

  • "It would be beneficial if the solution had a less costly cloud offering."
  • "Based on my experience and understanding, Talend comes out to be a little bit expensive as compared to SSIS. The average cost of having Talend with Talend Management Console is around 72K per region, which is much higher than SSIS. SSIS works very well with Microsoft technologies, and if you have Microsoft technologies, it is not really expensive to have SSIS. If you have SQL Server, SSIS is free."
  • "We have an enterprise license for this solution."
  • "It comes bundled with other solutions, which makes it difficult to get the price on the specific product."
  • "All of my clients have this product included as part of their Microsoft license."
  • "SSIS is a cheaper option compared to the cost of other ETL tools."
  • "Our license with SSIS is annual."
  • "t's incredibly cost effective, easy to learn the basics quickly (although like all ETL tools requires the traditional learning curve to get good at) and has an immense user base."
  • More SSIS Pricing and Cost Advice →

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    Answers from the Community
    RajneeshShukla
    AThiré - PeerSpot reviewerAThiré
    User

    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 tools
    * ERWIN has a nice one ,

    Phil Wilkins - PeerSpot reviewerPhil Wilkins (Capgemini)
    Consultant

    Depends upon the technologies being used. If you're using Oracle for both OLTP and OLAP then you'll get a lot of value from an Oracle solution.


    The other question is how up to date do you want your OLAP DB to be? Goldengate is a good answer if you're looking to minimize latency, but it can be expensive. ODI is less expensive but better suited to bulkier data sets.  If an Oracle product wasn't the option I'd probably consider something like Informatica.

    Karoly Krokovay - PeerSpot reviewerKaroly Krokovay
    Real User

    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-hitachi-overview.pdf

    And a short description of the community edition: https://www.predictiveanalyticstoday.com/pentaho-community-edition/

    And the download link: https://community.hitachivantara.com/s/article/downloads

    You can ask more from the great community: https://forums.pentaho.com/

    Regards
    Károly

    Stefan Schäfer - PeerSpot reviewerStefan Schäfer
    User

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

    GaryM - PeerSpot reviewerGaryM
    Real User

    As someone mentioned, if you're purely Oracle shop and staying that way then there's value with prioritizing Oracle tools.  However, let me contrast that with this caveat...


    Consider expectations for tool and vendor longevity. Oracle has a long history of retiring and/or replacing tools leaving customers in the cold with prior versions/tools (I've been burned multiple times by Oracle product retirements or replacements including OWB, Oracle Designer2k, Oracle Express, Oracle OEDW, their purchase of Sagent ETL which as later abandoned).


    But I would also consider these questions and relative prioritization:  


    What is your organization's plans for moving to other database technologies?  


    Where is your org going with on-prem versus cloud solutions?  How important are PaaS versus IaaS solutions?  


    Where is your current staff's expertise?  


    Prioritize mature over immature tools. 


    How many sources do you have?  What are their technologies and does the integration tool support them?


    Is it just moving data from a single ERP such as Oracle EBS to Olap? When you say Olap what do you mean by that?  Are you talking Oracle Olap product or something else?  That makes a really big difference of course - if your ETL tool doesn't support your source(s) and target(s) then it shouldn't be considered.


    Given the industry's trajectory, I myself would highly prioritize PaaS solutions over others.

    Yeap Jiun Aing - PeerSpot reviewerYeap Jiun Aing
    Real User

    What is the OLAP that you are using? Hosted in Cloud or on-premise? 


    The target DB should have its tool to extract data.

    Efe Dagistanli - PeerSpot reviewerEfe Dagistanli
    User

    Pentaho is a really nice tool if opensource is the only option. 


    Please think about issues such as upgrade and disaster in the future. These operations are very easy in Pentaho.


    I can only suggest one thing for replication and that is Qlik. (ex-Attunity).

    RajneeshShukla - PeerSpot reviewerRajneeshShukla
    Real User

    Hi Karoly, Thanks for your input. community: https://forums.pentaho.com/ is not allowing new registrations for new users. I guess they accept queries from customers only and not from any one. Do you know any other forum, community, SMEs contacts who can help on queries?

    Questions from the Community
    Top Answer:It is really easy to set up and the interface is easy to use.
    Top Answer:We've seen a couple of cases where it appears to have a memory leak or a similar problem. It grows for a bit and then… more »
    Top Answer:We typically use it to transport our Oracle raw datasets up to Microsoft Azure, and then into SQL databases there.
    Top Answer:Hi Rajneesh, yes here is the feature comparison between the community and enterprise edition :… more »
    Top Answer:What is the OLAP that you are using? Hosted in Cloud or on-premise?  The target DB should have its tool to extract… more »
    Top Answer:We also haven't had to create any custom Java code. Almost everywhere it's SQL, so it's done in the pipeline and the… more »
    Top Answer:SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called… more »
    Top Answer:The most valuable aspect of this solution is that it is simple to use and it offers a flexible custom script task.
    Top Answer:SSIS orchestrates data transformation in the environment, which includes Oracle and SQL Server databases.
    Comparisons
    Also Known As
    Kettle, Pentaho Data Integration
    SQL Server Integration Services
    Learn More
    StreamSets
    Video Not Available
    Overview

    StreamSets offers an end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps, and power the modern data ecosystem and hybrid integration.

    Only StreamSets provides a single design experience for all design patterns for 10x greater developer productivity; smart data pipelines that are resilient to change for 80% less breakages; and a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures to eliminate blind spots and control gaps.

    With StreamSets, you can deliver the continuous data that drives the connected enterprise.

    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.

    SQL Server Integration Services (SSIS) is a Microsoft platform designed to build enterprise-level data integration and data transformation solutions. Users now have the ability to solve intricate business queries by downloading and copying files, cleansing and mining data, loading data warehouses, and managing SQL Server objects and data through Integration Services. SSIS is a component of the Microsoft SQL Server data software used for many data migration tasks.

    SSIS loads data into one or more destinations by extracting and transforming data from a wide variety of sources such as XML data files, flat files, and relational data sources.

    Integration Services include:

    • An SSIS catalog database to manage, store, and run packages.
    • An ample set of built-in transformations and tasks.
    • Graphical tools for building packages.

    Create packages programmatically and code custom tasks through programming the extensive Integration Services. With graphical Integration Services, you can create solutions without writing any code.

    Benefits of SSIS

    There are many benefits of SSIS, such as:

    • Solve complex business problems - encrypt files with SSIS and send them to various network locations.

    • Migration of DTS packages to SSIS - users can migrate DTS packages to SSIS while choosing to run DTS packages using DTS runtime or incorporate DTS packages into SSIS.

    • Development of ETL processes - Microsoft’s SSIS packages provide the ability to extract, transform, and load data into data warehouses. This service takes data from various sources, like CSV files, XML files, flat files, and relational data sources and transforms and loads them to their destinations.

    • Data migration from other databases - with Integrations Services, users can transform data to make sure it complies with the rules of the database they are migrating to.

    • Managing and automating SQL server objects - SSIS packages can manage and automate SQL server objects which will help save you time and resources.

    Reviews from Real Users

    The SSIS platform stands out among its competitors for a variety of reasons. Two major ones are its debugging capabilities during data flow execution and its easy connectivity with other Microsoft tools.

    Muhammad J., a senior manager software developer at Techlogix, notes, "The debugging capabilities are great, particularly during data flow execution. You can look into the data and see what's going on in the pipeline."

    Ismail L., a data engineer at a tech service company, writes, "The most valuable thing is that it is easy to connect with Microsoft tools. In Europe, particularly in France, a lot of companies use Excel, SQL Server, and other Microsoft tools, and it is easier to connect SSIS with Microsoft tools than other products."

    Offer
    Learn more about StreamSets
    Learn more about Hitachi Lumada Data Integration
    Learn more about SSIS
    Sample Customers
    Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
    66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
    PKP Energetyka, UniCredit Bank, Mostar, waldwasser, Ashok leyland, Florida Atlantic University, Stadt Frankfurt am Main
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company14%
    Manufacturing Company7%
    Insurance Company7%
    REVIEWERS
    Financial Services Firm19%
    Healthcare Company15%
    Comms Service Provider12%
    Manufacturing Company12%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Comms Service Provider17%
    Financial Services Firm12%
    Government7%
    REVIEWERS
    Financial Services Firm21%
    Manufacturing Company9%
    Insurance Company9%
    Government7%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm16%
    Comms Service Provider9%
    Government7%
    Company Size
    REVIEWERS
    Small Business13%
    Midsize Enterprise38%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business27%
    Midsize Enterprise31%
    Large Enterprise41%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise13%
    Large Enterprise65%
    REVIEWERS
    Small Business28%
    Midsize Enterprise21%
    Large Enterprise51%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise13%
    Large Enterprise70%
    Buyer's Guide
    Hitachi Lumada Data Integration vs. SSIS
    November 2022
    Find out what your peers are saying about Hitachi Lumada Data Integration vs. SSIS and other solutions. Updated: November 2022.
    655,711 professionals have used our research since 2012.

    Hitachi Lumada Data Integration is ranked 6th in Data Integration Tools with 26 reviews while SSIS is ranked 3rd in Data Integration Tools with 30 reviews. Hitachi Lumada Data Integration is rated 7.8, while SSIS is rated 7.8. 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 SSIS writes "SSIS 2016 - The good, the bad, and the ugly". Hitachi Lumada Data Integration is most compared with Talend Open Studio, Informatica Enterprise Data Catalog, Oracle Data Integrator (ODI), Azure Data Factory and Spring Cloud Data Flow, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, Oracle Data Integrator (ODI), AWS Glue and IBM InfoSphere DataStage. See our Hitachi Lumada Data Integration vs. SSIS 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.