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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SSIS
Score 6.5 out of 10
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Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.
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Pricing
Oracle Data Integrator (ODI)
SQL Server Integration Services
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Oracle Data Integrator (ODI)
SSIS
Free Trial
No
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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
Oracle Data Integrator (ODI)
SQL Server Integration Services
Features
Oracle Data Integrator (ODI)
SQL Server Integration Services
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Oracle Data Integrator (ODI)
9.6
Ratings
13% above category average
SQL Server Integration Services
7.5
Ratings
11% below category average
Connect to traditional data sources
9.90 Ratings
8.80 Ratings
Connecto to Big Data and NoSQL
9.30 Ratings
6.20 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Oracle Data Integrator (ODI)
9.9
Ratings
19% above category average
SQL Server Integration Services
8.1
Ratings
1% below category average
Simple transformations
9.90 Ratings
8.50 Ratings
Complex transformations
9.90 Ratings
7.70 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Oracle Data Integrator (ODI)
9.2
Ratings
14% above category average
SQL Server Integration Services
7.4
Ratings
8% below category average
Data model creation
9.30 Ratings
8.60 Ratings
Metadata management
9.50 Ratings
7.10 Ratings
Business rules and workflow
9.10 Ratings
8.20 Ratings
Collaboration
8.50 Ratings
7.30 Ratings
Testing and debugging
9.30 Ratings
6.10 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
I tried various ETL tools and here is [where and] why I recommend Oracle Data Integrator. 1. When you want to process structured data from different databases - Teradata, Exadata, DB2, SQL, Oracle etc. 2. Oracle Data Integrator supports all platforms, hardware, and OS. This is a major advantage compared to other leading tools. 3. The ELT architecture giving a cutting edge performance over leading ETL tools. There is no need to align Oracle Data Integrator between source and target. ODI uses the source and target servers to perform complex transformations. 4. Speeds up the development and maintenance by reducing the code that developers need to write
Ideal for daily standard ETL use cases whether the data is sourced from / transferred to the native connectors (like SQL Server) or FTP. Best if the company uses MS suite of tools. There are better options in the market for chaining tasks where you want a custom flow of executions depending on the outcome of each process or if you want advanced functionality like API connections, etc.
Converts data from various sources into one target format using various business logic rules and integrates with various DBMS types.
Transformed data from DB2, SQL Server and other Oracle databases into flat files and then used ETL jobs to load into Oracle DB target
Data Integrator and Goldengate were used together to accomplish the data movement needed for business and data consolidation in live environment. Data Integrator helped with development and in reducing lead time to convert data into target.
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.
SSIS is responsible for running core business processed managing core business data. It can be managed, improved and expanded using minimal internal resources. It is also able to support all of our current data infrastructure. Replacing SSIS would be time consuming and costly with no apparent ROI.
SSIS has a drag and drop based developer interface, so it is relatively straight forward to get started. You can start to get into the weeds pretty quickly as your solution becomes more complex. However, most of the base functions are right in front of you for a developer. You can also set project and solution level parameters, so when you deploy to new environments, you don't have to jump into each package to change your variables and settings. (For example, default directory to ingest flat files).
Raw performance is great. At times, depending on the machine you are using for development, the IDE can have issues. Deploying projects is very easy and the tool set they give you to monitor jobs out of the box is decent. If you do very much with it you will have to write into your projects performance tracking though.
The support, when necessary, is excellent. But beyond that, it is very rarely necessary because the user community is so large, vibrant and knowledgable, a simple Google query or forum question can answer almost everything you want to know. You can also get prewritten script tasks with a variety of functionality that saves a lot of time.
The implementation may be different in each case, it is important to properly analyze all the existing infrastructure to understand the kind of work needed, the type of software used and the compatibility between these, the features that you want to exploit, to understand what is possible and which ones require integration with third-party tools
Talend Data Integrator has been evaluated during the setup of the architecture for a customer, in comparison to ODI, since it's an open source ETL. But, differently from the meaning of "open source", it has licence costs too that aren't that different from ODI ones. Moreover, the other components of the business intelligence architecture of the customer were Oracle, so we thought that ODI would suit at best with them, more than a different vendor software.
I think SQL Server Integration Services is better suited for on-premises data movement and ADF is more suited for the cloud. Though ADF has more connectors, SQL Server Integration Services is more robust and has better functionality just because it has been around much longer
Oracle Data Integrator helps provide a business with the data it needs to defend the decisions it makes.
Oracle Data Integrator allows you to analyze data from what can be separate, different, and often outdated data sources. It allows you to make direct comparisons when analyzing data from different pieces of equipment.
Data from Oracle Data Integrator was used to analyze manufacturing quality and drive down spoilage, saving the company money.
Without this, we would have to manually update a spreadsheet of our SQL Server inventory
We would also have poor alerting; if an instance was down we wouldn't know until it was reported by a user
We only have one other person who uses SQL Server Integration Services , he's the expert. It would fall to me without him and I would not enjoy being responsible for it.