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2017-07-25T10:31:00Z

Ask Our Consultant Anything- Are you afraid of ODI?

RG
  • 12
Published:Jul 25, 2017
Search for a product comparison in Data Integration
PeerSpot user

3 Comments

RG
Consultant
Top 20
2017-07-26T14:36:48Z
Jul 26, 2017
RG
Consultant
Top 20
2017-07-26T18:04:41Z
Jul 26, 2017
Vendor
2017-07-25T14:08:42Z
Jul 25, 2017
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: June 2025.
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Related Questions
Ariel Lindenfeld - PeerSpot reviewer
Dec 19, 2024
Dec 19, 2024
Data Integration is vital for companies as it streamlines and unifies disparate data sources. Look for: Centralized data management Improved data quality Enhanced decision-making Reduced operational costs Increased collaboration The importance of Data Integration lies in its ability to consolidate data from various sources into a single, coherent view. This centralization reduces data silos, al...
See 1 answer
RA
Dec 19, 2024
Data Integration is vital for companies as it streamlines and unifies disparate data sources. Look for: Centralized data management Improved data quality Enhanced decision-making Reduced operational costs Increased collaboration The importance of Data Integration lies in its ability to consolidate data from various sources into a single, coherent view. This centralization reduces data silos, allowing stakeholders to access and analyze data efficiently. With improved data quality, companies can make precise, informed decisions. Consistent data leads to accurate reporting, providing businesses a competitive edge by identifying trends, predicting outcomes, and developing proactive strategies.Effective Data Integration also enables better resource management and cost reduction. By eliminating redundant systems and processes, companies can streamline operations and reduce expenses. The ability to collaborate across departments is another crucial aspect. Integrated data facilitates seamless communication between teams, boosting efficiency and innovation. In a rapidly changing business environment, the importance of Data Integration cannot be overstated, as it drives agility, adaptability, and sustained growth.
OP
Feb 4, 2025
Feb 4, 2025
Good morning, Ornit. We are using the enterprise edition of Hitachi Vantara's Pentaho Data Integration (PDI) (it also has a community edition that is free to use but lacks some of the automation features that the enterprise edition has) for over a decade now and it will do just about anything we throw at it. We use if not only for ETL but also to generate reports that are burst out to the bus...
2 out of 7 answers
Sarath Boppudi - PeerSpot reviewer
Aug 22, 2023
Hi Ornit, My preffered would be Informatica, SSIS, Wherescape. Informatica because it's a mature product that has been outfor a while with minimal development effort required. SSIS for SQL Server based solutions. Wherescape for ETL automation. Wherescape enables SQL users to write etl code in SQL using templates built into the product
DP
Aug 22, 2023
Good morning, Ornit. We are using the enterprise edition of Hitachi Vantara's Pentaho Data Integration (PDI) (it also has a community edition that is free to use but lacks some of the automation features that the enterprise edition has) for over a decade now and it will do just about anything we throw at it.  We use if not only for ETL but also to generate reports that are burst out to the business.  I've used Informatica in the past and the thing that impressed me about Pentaho was it was much easier to build transformations.  That may have improved since then (this was back in the early 2000s) but having to link each and every field between each step was super tedious.  PDI does it by name with the option to change the mapping manually if needed.  
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