Oracle Data Integrator (ODI) vs Spring Cloud Data Flow vs Toad Data Point comparison

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Executive Summary

We performed a comparison between Oracle Data Integrator (ODI), Spring Cloud Data Flow, and Toad Data Point based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration.
To learn more, read our detailed Data Integration Report (Updated: April 2024).
768,924 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
"ODI's best features are customization, integration with other versioning tools, and the ability to define new knowledge modules.""Besides loading data, we do most of our transformations in ODI.""ODI significantly improves data integration and management by allowing customization of data types from various sources like SQL Server databases.""The most valuable feature of ODI is the to use of the whole ETL to create a data lake.""I do not have to maintain a separate ETL instance. I can change the SQL when something is not performing correctly.""​The installation of the client ODI Studio is easy.​""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.""​All our systems can be widely integrated by ODI, such as transactional systems, our data warehouses, and B2B integration."

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"The most valuable feature is real-time streaming.""The product is very user-friendly.""The most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like.""There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."

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"The Connectivity and Connection Manager supports a broad number of connection types, and it is trivial for end-users to set up their own connections to sources.""The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is useful because it was great for keeping your queries neat and understandable. The auto comment, and uncomment toggles that you could do were convenient."

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Cons
"The initial setup is complex, especially if you also have to install a console.""Technical Support could be better.""Stability could be improved because some operators have issues.""The resource management aspect of the solution could be improved.""ODI could improve by focusing on streamlining its features without unnecessary overhead.""Oracle Data Integrator (ODI) is already good as a solution. Still, it needs some editing of its preview package, or if the package is upgraded, that will make Oracle Data Integrator (ODI) even better.""It needs easier security.""An area for improvement in Oracle Data Integrator (ODI) is real-time integration. Currently, my company has a workaround to implement real-time integration, an area on which Oracle must focus more. Real-time integration should be easier in Oracle Data Integrator (ODI). Another area for improvement in Oracle Data Integrator (ODI) is integration with more publishers and subscribers rather than just database integrations."

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"Some of the features, like the monitoring tools, are not very mature and are still evolving.""The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation.""On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required.""Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."

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"On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues.""Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently."

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Pricing and Cost Advice
  • "Being an ODI developer, I never had to pay for this product. I know that the pricing/licensing is not really low, but the product is really good."
  • "We found that the cost compared to other integration tools is a little high, but the solution works great."
  • "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."
  • "There is a standard license to use the solution but there are other costs in addition, such as hardware and operating system."
  • "Per user, it is $900 USD per year, though they will give some discount. However, even a 60% to 70% of discount for each won't help us much. On top of that, there is the perpetual license you must pay at the outset."
  • "I have yet to determine the exact figure for Oracle Data Integrator (ODI) pricing, but it has lower pricing than Informatica."
  • "The Oracle Data Integrator (ODI) pricing isn't expensive, but it's not cheap, so it's in the middle. I'd rate the pricing as three out of five."
  • More Oracle Data Integrator (ODI) Pricing and Cost Advice →

  • "This is an open-source product that can be used free of charge."
  • "If you want support from Spring Cloud Data Flow there is a fee. The Spring Framework is open-source and this is a free solution."
  • More Spring Cloud Data Flow Pricing and Cost Advice →

  • "The cost of this product is reasonable."
  • "The price of Toad Data Point was approximately $500 annually."
  • More Toad Data Point Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Oracle Integration Cloud Service has a fairly easy initial setup, and Oracle offers initial support and guidance for… more »
    Top Answer:On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are… more »
    Top Answer:I used the solution for a payment platform we integrated with our organization. Our company had to use it since we had… more »
    Top Answer:Spring Cloud Data Flow is a useful product if I consider how there are different providers with whom my company had to… more »
    Top Answer:The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would… more »
    Top Answer:The price of Toad Data Point was approximately $500 annually.
    Top Answer:Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the… more »
    Ranking
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    Comparisons
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    Reviews
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    Average Words per Review
    429
    Rating
    8.2
    29th
    out of 100 in Data Integration
    Views
    2,449
    Comparisons
    1,823
    Reviews
    2
    Average Words per Review
    598
    Rating
    8.0
    38th
    out of 100 in Data Integration
    Views
    771
    Comparisons
    649
    Reviews
    1
    Average Words per Review
    513
    Rating
    8.0
    Comparisons
    Also Known As
    ODI
    Learn More
    Overview

    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."

    Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
    Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.

    Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity, desktop data integration, visual query building and workflow automation.
    Sample Customers
    Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University
    Information Not Available
    Concordia University
    Top Industries
    REVIEWERS
    Financial Services Firm24%
    Comms Service Provider11%
    Computer Software Company8%
    Manufacturing Company5%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company14%
    Government8%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company16%
    Manufacturing Company7%
    Retailer7%
    VISITORS READING REVIEWS
    Financial Services Firm35%
    Healthcare Company11%
    Government7%
    Insurance Company7%
    Company Size
    REVIEWERS
    Small Business32%
    Midsize Enterprise16%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise10%
    Large Enterprise78%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise5%
    Large Enterprise84%
    Buyer's Guide
    Data Integration
    April 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
    768,924 professionals have used our research since 2012.