IBM’s App Connect is a cloud-based data integration platform with data mapping and transformation capabilities within connectors between high-volume systems. App Connect also offers near-real time data synchronization and an API builder that is adaptable to the user’s coding skill level.
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Oracle Data Integrator (ODI)
Score 8.8 out of 10
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Oracle Data Integrator is an ELT data integrator designed with interoperability other Oracle programs. The program focuses on a high-performance capacity to support Big Data use within Oracle.
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Pricing
IBM App Connect
Oracle Data Integrator (ODI)
Editions & Modules
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Offerings
Pricing Offerings
IBM App Connect
Oracle Data Integrator (ODI)
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
IBM App Connect
Oracle Data Integrator (ODI)
Features
IBM App Connect
Oracle Data Integrator (ODI)
Cloud Data Integration
Comparison of Cloud Data Integration features of Product A and Product B
IBM App Connect
8.3
9 Ratings
3% above category average
Oracle Data Integrator (ODI)
-
Ratings
Pre-built connectors
8.99 Ratings
00 Ratings
Connector modification
6.98 Ratings
00 Ratings
Support for real-time and batch integration
8.99 Ratings
00 Ratings
Data quality services
8.99 Ratings
00 Ratings
Data security features
8.49 Ratings
00 Ratings
Monitoring console
7.99 Ratings
00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM App Connect
-
Ratings
Oracle Data Integrator (ODI)
9.6
11 Ratings
14% above category average
Connect to traditional data sources
00 Ratings
9.911 Ratings
Connecto to Big Data and NoSQL
00 Ratings
9.39 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM App Connect
-
Ratings
Oracle Data Integrator (ODI)
9.9
11 Ratings
20% above category average
Simple transformations
00 Ratings
9.911 Ratings
Complex transformations
00 Ratings
9.911 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM App Connect
-
Ratings
Oracle Data Integrator (ODI)
9.2
11 Ratings
16% above category average
Data model creation
00 Ratings
9.310 Ratings
Metadata management
00 Ratings
9.510 Ratings
Business rules and workflow
00 Ratings
9.111 Ratings
Collaboration
00 Ratings
8.510 Ratings
Testing and debugging
00 Ratings
9.311 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
IBM App Connect Enterprise is well-suited for high-volume enterprise systems that demand robust scalability and high reliability. It excels at hybrid connectivity by easily integrating various on-premises systems using its extensive catalog of connectors. It is also ideal for workflows that require a balance between efficient low-code and the incorporation of complex, custom Java logic. On the other hand, the platform is less appropriate in scenarios requiring high development autonomy, as installation and configuration at the server level is excessively complex, creating a strong dependency on other infrastructure teams. It is also not ideal if detailed traceability and monitoring of workflows must be seamlessly managed within the tool itself, as this is difficult to manage directly in ACE. IBM App Connect Enterprise está bien adaptado para sistemas empresariales de alto volumen que exigen una escalabilidad robusta y alta confiabilidad. Sobresale en la conectividad híbrida al integrar fácilmente diversos sistemas locales (on-premises) utilizando su amplio catálogo de conectores. Además, es ideal para flujos que requieren un equilibrio entre el low-code eficiente y la incorporación de lógica Java compleja y personalizada. Por otro lado, la plataforma es menos apropiada en escenarios donde se requiere una alta autonomía de desarrollo, debido a que la instalación y configuración a nivel de servidor es excesivamente compleja , lo cual crea una fuerte dependencia de otros equipos de infraestructura. Tampoco es ideal si la trazabilidad detallada y el monitoreo de los flujos deben gestionarse sin problemas dentro de la propia herramienta, ya que esto resulta difícil de manejar directamente en ACE. Parts of this review were originally written in Spanish and have been translated into English using a third-party translation tool. While we strive for accuracy, some nuances or meanings may not be perfectly captured.
Oracle Data Integrator is well suited in all the situations where you need to integrate data from and to different systems/technologies/environments or to schedule some tasks. I've used it on Oracle Database (Data Warehouses or Data Marts), with great loading and transforming performances to accomplish any kind of relational task. This is true for all Oracle applications (like Hyperion Planning, Hyperion Essbase, Hyperion Financial Management, and so on). I've also used it to manage files on different operating systems, to execute procedures in various languages and to read and write data from and to non-Oracle technologies, and I can confirm that its performances have always been very good. It can become less appropriate depending on the expenses that can be afforded by the customer since its license costs are quite high.
Oracle Data Integrator nearly addresses every data issue that one can expect. Oracle Data Integrator is tightly integrated to the Oracle Suite of products. This is one of the major strengths of Oracle Data Integrator. Oracle Data Integrator is part of the Oracle Business Intelligence Applications Suite - which is highly used by various industries. This tool replaced Informatica ETL in Oracle Business Intelligence Applications Suite.
Oracle Data Integrator comes with many pre-written data packages. If one has to load data from Excel to Oracle Database, there is a package that is ready available for them - cutting down lot of effort on writing the code. Similarly, there are packages for Oracle to SQL, SQL to Oracle and all other possible combinations. Developers love this feature.
Oracle Data Integrator relies highly on the database for processing. This is actually an ELT tool rather than an ETL tool. It first loads all the data into target instance and then transforms it at the expense of database resources. This light footprint makes this tool very special.
The other major advantage of Oracle Data Integrator, like any other Oracle products, is a readily available developer pool. As all Oracle products are free to download for demo environments, many organizations prefer to play around with a product before purchasing it. Also, Oracle support and community is a big advantage compared to other vendors.
ODI does not have an intuitive user interface. It is powerful, but difficult to figure out at first. There is a significant learning curve between usability, proficiency, and mastery of the tool.
ODI contains some frustrating bugs. It is Java based and has some caching issues, often requiring you to restart the program before you see your code changes stick.
ODI does not have a strong versioning process. It is not intuitive to keep an up to date repository of versioned code packages. This can create versioning issues between environments if you do not have a strong external code versioning process.
It is the best on-premise application to cloud integration in the market. I guess IBM is planning to integrate IBM App Connect with the IBM API Connect solution.
It is maturing and over time will have a good pool of resources. Each new version has addressed the issues of the previous ones. Its getting better and bigger.
You can do some really powerful things with this system. The overall design is an attempt to make configurable some of the routine tasks/common functionality, but allow for development/customization of the core of the application.
Usually, the IBM Ops team provides a resolution or a response for 80% of defects raised in my project. There is one which has been open on their end for more than 3 months. With literally no response even after multiple follow-ups.
IBM App Connect started as MQSeries Integrator (MQSI) more than 20 years ago. In the IT environment, this is like an eternity. And this allowed a lot of customer experience and needs to be embedded in the product. Without it becoming a legacy application. The changes done in the latest version are preparing it for a Cloud/containers world without losing the previously learned knowledge.
I have used Trifacta Google Data Prep quite a bit. We use Google Cloud Platform across our organization. The tools are very comparable in what they offer. I would say Data Prep has a slight edge in usability and a cleaner UI, but both of the tools have comparable toolsets.
We never implemented Cast Iron in production. When compared to five competing products in the iPaaS space it didn't make it past the first few test scenarios we threw at it.