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
SAS Data Management
Score 8.0 out of 10
N/A
A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.
N/A
Pricing
Oracle Data Integrator (ODI)
SAS Data Management
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Oracle Data Integrator (ODI)
SAS Data Management
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
—
More Pricing Information
Community Pulse
Oracle Data Integrator (ODI)
SAS Data Management
Considered Both Products
Oracle Data Integrator (ODI)
Verified User
Anonymous
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.
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.
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 …
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 …
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 …
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, …
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 …
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 …
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 …
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.
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 …
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 …
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 …
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.
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.
The product is best when combined with the other products of the SAS suite. In particular, it's great for the preparation, analysis and display of the data if it is carried out with the products indicated above. When it is combined with products other than those of the SAS …
SAS Data Management Platform requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres. Has almost all features present as compared to the alternatives we evaluated. On top of it, SAS offered statistical transformations and strong metadata …
Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.
SAS integration is not easy because there are various PAM related modules which require additional vendor involvement. Overall once all integrations are set up, it's a great tool and provides multiple options to users for running their model.
Because SAS Data Integration Studio is the third party it seems to work equally well with all our systems. That is to say that it doesn't really work better with Microsoft or Oracle but really just seems to work equally well with all of them. It has a very powerful back-end …
Datastage might be the closest one. Being a full ETL tool, it's weird to compare both. Datastage might be more robust for extraction but it lacks the simplicity that the end users need for everyday data extract and analysis.
SAS/Access can work well with MySQL. There are some coding differences between the two, for example how missing values are handled or rules for variable names. MySQL has simpler coding, but if you are familiar with Base SAS, it is not too difficult to learn. With SAS/Access the …
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
SAS/Access is well suited for companies who need to manipulate and analyze large databases and data-sets. It does the same thing as SQL, and if you already know basic SAS coding it is easier to pick up. SAS/Access works well with analyzing data from multiple data-sources at once, including large databases stored in external and virtual environments like Hadoop. Data can be easily reassembled from relational databases for use by the user. SAS/Access is not necessary if you are only pulling data from one database that you have the physical file for.
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.
SAS supports the main database connection options that allow you to optimize the performance of your extracts and loads.
Simplicity of the syntax for a basic connection.
Ability to configure by an administrator in a BI environment so that all users can benefit from the connection without having to establish it by themselves.
It is a versatile product but sometimes difficult to use due to the very close link with the proprietary programming language where specific knowledge is required.
Compared to competitors on the market that offer the same functions for the integration perimeter, it is certainly very expensive.
It is very simple to use when combined with products from the SAS suite, less so it is being used stand-alone or integrated with other well-known brands.
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.
The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.
With SAS, you pay a license fee annually to use this product. Support is incredible. You get what you pay for, whether it's SAS forums on the SAS support site, technical support tickets via email or phone calls, or example documentation. It's not open source. It's documented thoroughly, and it works.
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.
Because SAS Data Integration Studio is the third party it seems to work equally well with all our systems. That is to say that it doesn't really work better with Microsoft or Oracle but really just seems to work equally well with all of them. It has a very powerful back-end that allows us to transform and load our data quickly and efficiently programmer time wise.
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.