Oracle Data Integrator (ODI) vs. SQL Server Integration Services (SSIS)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Oracle Data Integrator (ODI)
Score 8.5 out of 10
N/A
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.N/A
SSIS
Score 8.0 out of 10
N/A
Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.N/A
Pricing
Oracle Data Integrator (ODI)SQL Server Integration Services (SSIS)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Oracle Data Integrator (ODI)SSIS
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Oracle Data Integrator (ODI)SQL Server Integration Services (SSIS)
Considered Both Products
Oracle Data Integrator (ODI)
Chose Oracle Data Integrator (ODI)
This is very easy to integrate with Oracle data sources and as most of my databases are in oracle so I gave preference to this tool.
Chose Oracle Data Integrator (ODI)
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.
Chose Oracle Data Integrator (ODI)
Oracle Data Integrator works very well if the rest of your systems are in the Oracle environment. There are some other good alternatives out there, but for what Oracle Data Integrator has to offer, it is good. It is also a little harder to use compared to the other ones I have …
Chose Oracle Data Integrator (ODI)
We were using Actian Pervasive before switching to Oracle and the main reason was the cost. We were getting less functionality at even more cost. Although it is much faster in terms of operation, Oracle makes it easy to connect to all data sources making data integration easier …
Chose Oracle Data Integrator (ODI)
I have used the Pentaho Data Integrator ETL tools in different projects with the SQL Server Integration Services product from the Microsoft product family. Oracle Data Integrator ETL product is efficient in projects where Oracle databases are heavily used. The end-user …
Chose Oracle Data Integrator (ODI)
Powerful features and Oracle based
Chose Oracle Data Integrator (ODI)
I think that Oracle Data Integrator is much better because of the user interface it provides.
Chose Oracle Data Integrator (ODI)
Chose Oracle Data Integrator for its compatibility and integration with Oracle Goldengate
Chose Oracle Data Integrator (ODI)
ODI is best suited for Oracle Hyperion environments. We have also used it to manage files on different operating systems.
Chose Oracle Data Integrator (ODI)
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, …
Chose Oracle Data Integrator (ODI)
ODI is the naturel successor of OWB, adopting the same EL-T approach but supporting a lot more technologies as source and target. The overall product is much more stable and not tied to the Oracle database.
Unlike Informatica, ODI generates all the code in the native underlying …
Chose Oracle Data Integrator (ODI)
Because of variety of my projects that I involved, I used nearly all the world wide known tools within data warehouse environment.
  • Data Modeling Tools : Sybase Power Designer, SQL Developer Data Modeler, ERwin Data Modeler.
Chose Oracle Data Integrator (ODI)
We migrated to ODI from OWB - and we found ODI to be light years ahead of OWB (features, performance, and connectivity). We also looked at Informatica, but were turned down by its cost. Being a SAP Business Objects shop, we also considered the SAP Data Integrator tool (it …
Chose Oracle Data Integrator (ODI)
Oracle's own ETL tool was Oracle Warehouse Builder, initially. When Oracle built the Oracle Business Intelligence Applications Suite, Oracle is in need of a strong ETL. As Oracle Warehouse Builder is not a strong ETL that customers prefer and as already Informatica captured …
Chose Oracle Data Integrator (ODI)
We thought IBM was too expensive and more difficult to use. With Microsoft, since we have our main application running with Oracle DB, we understood it’d be easier for us to work with ODI.
Chose Oracle Data Integrator (ODI)
Oracle Data Integrator is a superior tool when dealing with Hyperion Planning and Essbase cubes and applications. The native connectors allow for easy data movement and transformations from one environment to the other. I do believe that Oracle Data Integrator is a very complex …
Chose Oracle Data Integrator (ODI)
Informatica was slightly more intuitive but slightly less powerful than Oracle Data Integrator. My use of Informatica was much less extensive than Oracle Data Integrator, so I can not speak as in-depth about the strengths and weaknesses of Informatica. We used ODI much more for …
Chose Oracle Data Integrator (ODI)
ODI is less user friendly than FDM and DRM but is much easier to deploy than core ETL tools such as HAL or Informatica. The tool is easier to master and is usually more than capable of handling the run of the mill tasks required for Hyperion deployments. It has been a good …
Chose Oracle Data Integrator (ODI)
IBM Infosphere, Informatica. I worked on the mentioned tools as well as ODI. I liked ODI because it is easy to use with great features that every other ETL tool has in the market.
Chose Oracle Data Integrator (ODI)
Our organization was using the Oracle BPM and the Oracle Data Integrator has good integration with BPM. We got good support from Oracle in setting up the integrated environment.
SSIS
Chose SSIS
Informatica PowerCenter (legacy) and CloverDX
Chose SSIS
Both are very similar. Azure is cloud based. It is easier for the organization who uses cloud based application. The SQL Server Integration Services is cost effective. Azure was more on the expensive side for our organization. Azure was a little complex, it needed special …
Chose SSIS
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
Chose SSIS
Fivetran, Stitch, and Etleap are all 1000x more modern than SSIS and 100x less aggravating. While those tools are mainly used to sync data rather than transform it, the ELT model works much better than the ETL model in most situations.
Chose SSIS
We just selected SSIS because we use SQL Server Management System (SSMS) to manage our database. As SSIS is a component of the Microsoft SQL Server there are no problems with integration and everything works perfectly. In addition, we don't have to learn how to use another …
Chose SSIS
Low-cost relative to other products - in fact, zero cost if one is considering the license cost as being for the database engine with Integration Services added on. It has a comparable range of functionality and performance and as such it's a 'no-brainer' to use SSIS over …
Chose SSIS
SnapLogic and Azure Data Factory are better than SQL Server Integration Services mostly because they are Integration Platform as a Service (IPAAS) services, whereas SQL Server Integration Services is an on-premise. So the basic differences such as, need a VPN to connect to the …
Chose SSIS
SSIS is similar to Alteryx and Informatica PowerCenter in a way because these are all drag-and-drop ETL tools with similar functionality. Alteryx is a step ahead because it has some advanced ETL functionalities including statistical calculations etc. and a better ability to set …
Chose SSIS
Alteryx Designer is easier to use for machine learning models. The functionality of drag and drop is the most valuable. It is a very user-friendly tool that can be understood easily. My teams also work with other solutions, such as Integration Services, and these solutions are …
Chose SSIS
I had nothing to do with the choice or install. I assume it was made because it's easy to integrate with our SQL Server environment and free. I'm not sure of any other enterprise level solution that would solve this problem, but I would likely have approached it with …
Chose SSIS
SQL Server Integration Services is a good alternative to cut down on costs and have more flexibility on developing.
Chose SSIS
SAP Business Objects was a primary concurrent software against the MS SSIS but it has a more steep learning curve and requires additional investment into the SAP-related software infrastructure. With SSIS one can start easily with simple data extraction / DTL tools of Express …
Chose SSIS
I personally prefer SSIS. There are items that each do better than the others, but the ease of use of SSIS, along with its extensibility to 3rd party, ability to write any code required in the tool, and uses the same IDE for the MS BI suite (more of an issue if you're not a …
Chose SSIS
I used the Pentaho Data Integration (PDI) ETL tool. The PDI ETL tool does not have a public user collection like the SQL Server Integration Services(SSIS) ETL tool. Therefore, you may not be able to find instant solutions for your problems. But it has advantages over the SSIS …
Chose SSIS
We selected SSIS as it came part of our standard SQL license. We did not evaluate any other solutions as SSIS has met all our needs.
Chose SSIS
SQL Server is already in our wheelhouse so it only made sense to utilize the tools we already had available to us--SSIS, SSAS, & SSRS. Other non-technical users seem to be more comfortable using alternatives to SSIS. However, these alternatives are not as good as SSIS at …
Chose SSIS
These are all great products and, honestly, can move data faster. They include more enterprise features and have some great qualities about each. However, they all cost a lot depending on the implementation you need. With SQL Server Integration Services, you do not have any …
Chose SSIS
When looking to evaluate different options, we looked first to the experience and software we had in-house that would accomplish the job. When assessing alternatives outside we were looking for the tool that would offer the most flexibility.

SSIS provided the most robust set of …
Chose SSIS
It’s basically a free tool and it has more features than anyone would ever need. If you look online for answers for SISS packages you will find a world of information that can cover almost any situation for your business. This tool can be used in any business and it provides …
Chose SSIS
SSIS is a very basic, developer-oriented ETL tool and while it lacks many of the nice UX features of its competitors it is a powerful tool that comes as a part of SQL Server and, in the hands of experienced developers with domain knowledge, can meet most organizations' ETL …
Chose SSIS
SSIS and Denodo differ in their approaches to ETL and Data integrations. SSIS is more affordable from a cost and licensing perspective (if you have Microsoft licensing), but Denodo is no slouch. If you go with Denodo, you are not creating data, there are pros and cons to …
Chose SSIS
SQL Server Integration Services does a good job for our SQL Server environments and was selected for that reason. For a SQL Server-only implementations, I would recommend SQL Server Integration Services. When we compared SSIS to other ETL providers against SQL Server, SSIS was …
Features
Oracle Data Integrator (ODI)SQL Server Integration Services (SSIS)
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Oracle Data Integrator (ODI)
9.6
Ratings
15% above category average
SQL Server Integration Services (SSIS)
7.0
Ratings
17% below category average
Connect to traditional data sources9.90 Ratings9.00 Ratings
Connecto to Big Data and NoSQL9.30 Ratings5.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Oracle Data Integrator (ODI)
9.9
Ratings
20% above category average
SQL Server Integration Services (SSIS)
6.8
Ratings
17% below category average
Simple transformations9.90 Ratings9.00 Ratings
Complex transformations9.90 Ratings4.70 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Oracle Data Integrator (ODI)
9.2
Ratings
16% above category average
SQL Server Integration Services (SSIS)
7.5
Ratings
5% below category average
Data model creation9.30 Ratings9.00 Ratings
Metadata management9.50 Ratings6.00 Ratings
Business rules and workflow9.10 Ratings7.00 Ratings
Collaboration8.50 Ratings9.00 Ratings
Testing and debugging9.30 Ratings6.30 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Oracle Data Integrator (ODI)
9.1
Ratings
12% above category average
SQL Server Integration Services (SSIS)
5.3
Ratings
41% below category average
Integration with data quality tools9.50 Ratings6.10 Ratings
Integration with MDM tools8.70 Ratings4.60 Ratings
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User Ratings
Oracle Data Integrator (ODI)SQL Server Integration Services (SSIS)
Likelihood to Recommend
8.0
(0 ratings)
8.0
(0 ratings)
Likelihood to Renew
10.0
(0 ratings)
9.0
(0 ratings)
Usability
-
(0 ratings)
8.0
(0 ratings)
Performance
-
(0 ratings)
8.8
(0 ratings)
Support Rating
-
(0 ratings)
8.0
(0 ratings)
Implementation Rating
7.0
(0 ratings)
10.0
(0 ratings)
User Testimonials
Oracle Data Integrator (ODI)SQL Server Integration Services (SSIS)
Likelihood to Recommend
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
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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.
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Pros
  • 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.
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  • SSIS works very well pulling well-defined data into SQL Server from a wide variety of data sources.
  • It comes free with the SQL Server so it is hard not to consider using it providing you have a team who is trained and experienced using SSIS.
  • When SSIS doesn't have exactly what you need you can use C# or VBA to extend its functionality.
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Cons
  • Oracle support is not the best when needing help with the system
  • The documentation is also very poor and takes very long to generate
  • Some parts of it are not intuitive to use and get hard to troubleshoot
  • Like other Oracle products, you must have very, very thorough knowledge about their systems to understand
  • Like all Oracle products, cost is high
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  • SSIS memory usage can be quite high particularly when SSI and SQL server are on the same machine
  • SSIS is not available on any environment other than Microsoft Windows
  • SSIS does not function with any database engine back-end other than Microsoft SQL Server
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Likelihood to Renew
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.
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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.
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Usability
No answers on this topic
It is easy to learn, works great on many features, but needs improvement on ETL troubleshooting and performance monitoring functionality. Great tool on Microsoft stack. it is great with simple, structured datasets. Once logic gets fancy like nested conditionals
complex joins,
reusable transformations, versioned logic …SQL Server Integration Services (SSIS) packages become hard to read and harder to maintain. Source control is painful. Errors can be cryptic
Logging takes effort to set up well
Debugging in production is limited.
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Performance
No answers on this topic
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.
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Support Rating
No answers on this topic
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.
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Implementation Rating
No answers on this topic
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
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Alternatives Considered
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.
Read full review
Both are very similar. Azure is cloud based. It is easier for the organization who uses cloud based application. The SQL Server Integration Services is cost effective. Azure was more on the expensive side for our organization. Azure was a little complex, it needed special training to use it. Azure was not accurate with complex data.
Read full review
Return on Investment
  • 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.
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  • 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.
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ScreenShots