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Oracle Data Integrator (ODI) vs Qlik Compose comparison

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Buyer's Guide
Oracle Data Integrator (ODI) vs. Qlik Compose
July 2022
Find out what your peers are saying about Oracle Data Integrator (ODI) vs. Qlik Compose and other solutions. Updated: July 2022.
621,703 professionals have used our research since 2012.
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 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 really easy to set up and the interface is easy to use.""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.""In StreamSets, everything is in one place.""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."

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"The scalability is great. It's one of the reasons we chose the solution.""ODI's most valuable features are it utilizes the database engine and is very lightweight.""Integration with all systems is easy with Oracle Data Integrator, and it is easy to use. I have not used any other product, but with Oracle Data Integrator, we can easily connect to an ERP system, an SAP system, or a cloud application.""Oracle provides great documentation.""The most valuable features of ODI are the ease of development, you can have a template, and you can onboard transfer very quickly. There's a lot of knowledge modules available that we can use. If you want to connect, for example, a Sibyl, SQL, Oracle, or different products, we don't have to develop them from scratch. They are available, but if it's not, we can go into the marketplace and see if there's a connector there. Having the connector available reduces the amount of hard work needed. We only have to put the inputs and outputs. In some of the products, we use there is already integration available for ODI, which is helpful.""Easy to understand, very developer-friendly, and has a big forum community and lots of documentation for support."

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"Qlik Compose is good enough. It is user-friendly and intuitive.""I have found it to be a very good, stable, and strong product."

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Cons
"If you use JDBC Lookup, for example, it generally takes a long time to process data.""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.""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've seen a couple of cases where it appears to have a memory leak or a similar problem.""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."

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"An area for improvement would be the lack of SQL compatibility - ODI has no ability to interact with SQL unstructured types and data types.""The interface of ODI could be improved. For example, navigating and finding functions can be difficult. For example, you have to know which step you need to go to look at where your job status is. The logical step is a bit complex compared to other tools. It's much easier to get a graphical view, but with ODI, it's graphical, plus you have to know all the other pieces that fit around it. You have to think about the logical and physical aspects.""The resource management aspect of the solution could be improved.""ODI could improve by being more user-friendly. Informatica, which is also an ETL tool, similar to ODI, but Informatica is very user-friendly, easy to use, and simple to integrate, compared to ODI. ODI has many features, put them all together, and sometimes we get confused about which ones to use, which ones not to use.""It has been very good. Just recently, I've faced an issue, but I solved it somehow. While integrating with a file, I faced an issue where I wanted output files, and I had used the text field limited quotations, but at the end of the file, there was a line breakage for the last column. So, we just removed the text field because it was not working correctly for us.""The solution lacks some functions and features."

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"I believe that visual data flow management and the transformation function should be improved.""For more complex work, we are not using Qlik Compose because it cannot handle very high volumes at the moment. It needs the same batching capabilities that other ETL tools have. We can't batch the data into small chunks when transforming large amounts of data. It tries to do everything in one shot and that's where it fails."

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Pricing and Cost Advice
  • "We are running the community version right now, which can be used free of charge."
  • "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."
  • More StreamSets Pricing and Cost Advice →

  • "The solution is expensive because of the model they use. The cost is for the license and for support."
  • "ODI comes included when buying the cloud version of the Oracle database license."
  • More Oracle Data Integrator (ODI) Pricing and Cost Advice →

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    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:Oracle Integration Cloud Service has a fairly easy initial setup, and Oracle offers initial support and guidance for… 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:I know I'm late to the party but here are my comments to this. I would ask what version of ODI are you running, but… more »
    Top Answer:There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily… more »
    Top Answer:I have found it to be a very good, stable, and strong product.
    Top Answer:I'm not sure of the exact cost structure of the solution. Potential users would have to reach out to the company… more »
    Comparisons
    Also Known As
    ODI
    Compose, Attunity Compose
    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.

    Oracle Data Integrator (ODI) is a data integration software solution that provides a unified infrastructure to streamline data and application integration projects. It uses a powerful design approach to data integration, which separates the declarative rules from the implementation details. The solution is based on a unique ELT (Extract Load Transform) architecture, eliminating the need for a standalone ETL server and proprietary engine. 

    Oracle Data Integrator Features

    ODI has many valuable key features. Some of the most useful ones include:

    • Automatic documentation generation
    • Visualization of data flows in the interfaces
    • Customization of generated code
    • Automatic reverse-engineering of existing applications or databases
    • Graphical development and maintenance of transformation and integration interfaces
    • Robust data integrity control features, assuring the consistency and correctness of data
    • Powerful core differentiators
    • Heterogeneous ELT, declarative design and knowledge modules
    • Flexibility and modularity
    • Oracle Data Integrator repository
    • Topology navigator
    • Operator Navigator
    • Security Navigator
    • Integrator Console
    • ODI domains

    Oracle Data Integrator Benefits

    There are many benefits to implementing ODI. Some of the biggest advantages the solution offers include:

    • Efficient architecture: Oracle Data Integrator has a simple architecture that utilizes the source and target servers to perform complex transformations, making it an efficient solution.
    • Supports all platforms: ODI gives you platform independence by supporting all platforms, hardware, and OSes with the same software.
    • Cost-effective: Oracle Data Integrator reduces costs associated with initial hardware and software acquisition, and also decreases maintenance costs because it eliminates the need for an ETL Server and an ETL engine.
    • Automatic detection of faulty data: By using ODI, faulty data is recycled before insertion in the target application, providing you with a data quality firewall.
    • Easy development and maintenance: With a low learning curve, Oracle Data Integrator increases developer productivity while facilitating ongoing maintenance. 
    • Active integration: ODI includes all styles of data integration: data-based, event-based and service-based.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Data Integrator (ODI) solution.

    Brian D., Business Process and Strategy Specialist Advisor at NTTData, says, “The Knowledge Module (KM) is my favorite feature of ODI. This is where I learned how to use variables to make jobs dynamic. I took that knowledge and created a KM that would go into iTunes and pull the sales of eBooks. Making something that is reusable, like a KM, is important to not only reduce build time but also maintenance in the future.”

    Ashok S., Applications Support Manager at a marketing services firm, mentions, "The most valuable features of ODI are the ease of development, you can have a template, and you can onboard transfer very quickly. There's a lot of knowledge modules available that we can use. If you want to connect, for example, a Sibyl, SQL, Oracle, or different products, we don't have to develop them from scratch. They are available, but if it's not, we can go into the marketplace and see if there's a connector there. Having the connector available reduces the amount of hard work needed. We only have to put the inputs and outputs. In some of the products, we use there is already integration available for ODI, which is helpful."

    Qlik Compose comes in two offerings: Qlik Compose for Data Warehouses and Qlik Compose for Data Lakes. Qlik Compose for Data Warehouse automates and streamlines the design, creation, loading, management, and update of data warehouses including Amazon Redshift, Azure Synapse, Google BigQuery, Snowflake and Oracle. Qlik Compose for Data Lakes automates the process of providing continuously updated, accurate, and trusted data to big data platforms like Apache Hadoop, Cloudera Customer Data Platform and Databricks Unified Data Analytics Platform.

    Offer
    Learn more about StreamSets
    Learn more about Oracle Data Integrator (ODI)
    Learn more about Qlik Compose
    Sample Customers
    Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
    Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University
    Poly-Wood
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm14%
    Comms Service Provider13%
    Insurance Company8%
    REVIEWERS
    Financial Services Firm27%
    Computer Software Company12%
    Retailer8%
    University8%
    VISITORS READING REVIEWS
    Computer Software Company33%
    Comms Service Provider16%
    Financial Services Firm10%
    Government6%
    VISITORS READING REVIEWS
    Computer Software Company27%
    Comms Service Provider13%
    Manufacturing Company8%
    Financial Services Firm6%
    Company Size
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise13%
    Large Enterprise72%
    REVIEWERS
    Small Business34%
    Midsize Enterprise12%
    Large Enterprise54%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise14%
    Large Enterprise72%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise16%
    Large Enterprise68%
    Buyer's Guide
    Oracle Data Integrator (ODI) vs. Qlik Compose
    July 2022
    Find out what your peers are saying about Oracle Data Integrator (ODI) vs. Qlik Compose and other solutions. Updated: July 2022.
    621,703 professionals have used our research since 2012.

    Oracle Data Integrator (ODI) is ranked 6th in Data Integration Tools with 8 reviews while Qlik Compose is ranked 41st in Data Integration Tools with 2 reviews. Oracle Data Integrator (ODI) is rated 8.4, while Qlik Compose is rated 6.0. The top reviewer of Oracle Data Integrator (ODI) writes "We can make all the EPM tools work together as one and we can create a puzzle that will increase the performance and capability of all EPM tools". On the other hand, the top reviewer of Qlik Compose writes "It's an intuitive solution for doing basic transformations, but it cannot handle high volumes". Oracle Data Integrator (ODI) is most compared with Oracle Integration Cloud Service, SSIS, Informatica PowerCenter, Oracle GoldenGate and Azure Data Factory, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, WhereScape RED, Palantir Foundry and Azure Data Factory. See our Oracle Data Integrator (ODI) vs. Qlik Compose 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.