2014-12-09 11:39:00 UTC

When evaluating Data Integration, what aspect do you think is the most important to look for?


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1919 Answers
author avatar
User

Ease of modelling and deployment, connectors availability out of the box,,workflow automation,ETL capability,audit and control, transaction and batch processing, continuous Synch,low code,visual interface.

2019-11-18 11:08:12 UTC
author avatar
Consultant

I would be looking for things like:
- types of connections supported
- data transformation capabilities
- throughput
- can it support micro batching
- can a process be triggered by a data source
- security
- how does it work in a Hybrid scenario (assuming the organization isn't cloud-born)
- licensing and support costs (even open source has support implications - even if it's being patched by your own devs)
- expertise in the product, and product roadmap/life -- if it's difficult to get expertise in using a product or at least support until your own team is competent a problem can incur a lot of delays. If a product is approaching end of life - then skills with the product will disappear, you'll eventually need to change your solution

2019-11-07 09:24:01 UTC
author avatar
TOP 5Real User

Ease of use for ETL
Advanced ETL features for flexibility
Easy to test/debug
Reusable
Templates/Pre-built functionalities

2019-09-13 02:33:45 UTC
author avatar
Vendor

- Ease of use - The solution should offer the same level of usability to both IT and business users.
- Support for both batch and transaction-based integration
- Workflow automation - I would not want to spend my time scheduling and monitoring recurring jobs. Therefore, there should be support for time-based and event-based scheduling.
- Connectivity - Any business today works with a plethora of legacy and modern data sources. So the solution should offer out-of-the-box connectivity to a range of source and target databases.

2018-11-05 11:47:30 UTC
author avatar
TOP 5Real User

Flexibility - can you code complex business domain rules using VB or C++?
Connections - what data sources it connects with and how it connects to them.
Stability - will it crash in development mode?
Reuse - can you create and re-use modules in multiple projects and deploy to server tasks?

2018-06-12 08:09:10 UTC
author avatar
Vendor

Ease of use for ETL
Advanced ETL features for flexibility
Easy to test/debug
Reusable
Templates/Pre-built functionalities

2017-03-06 21:16:12 UTC
author avatar
Vendor

Data profiling, easy to use, connectivity capabilities to different kind of sources (unstructured data, flat files, common rdms, soap and json ) advanced data transform capabilties

2015-07-31 08:41:01 UTC
author avatar
Vendor

Less code more productivity

2015-04-27 10:49:39 UTC
author avatar
Vendor

Data Quality, Data governance, Data profiling, and advanced ETL functions embedded, multiples and native connectivity with structured and unstructured data.

2015-04-07 23:14:04 UTC
author avatar
TOP 5LEADERBOARDReal User

Connections - what data sources and targets it can connects to.
Flexibility - can you code transformation rules on Java, C#, Python.
Data Quality features.
Usability of tracing and monitoring instruments.
Stability of work and ability of "try-except" transformations.

2019-09-30 11:12:02 UTC
author avatar
TOP 5LEADERBOARDConsultant

1. Flexibility. A DI tool should be like water to fit the shape of each glass every time. Ability to learn.!
2. Ease of development, installation, implementing topology architecture.
3. Reusability of coding.
4. Ease of maintenance, management and operation.
5. Learning curve.
6. Ability to talk with related products (Data Quality, Replication, etc.) fully integrated and out-of-the-box.

2016-10-26 09:21:29 UTC
author avatar
TOP 5LEADERBOARDConsultant

When evaluating data integration, think about versioning and auditability. Other ETL/ELT tools preach it, however ODI lives and breaths it. Also look at reusability. 12c especially has lots of cool reusable parts that will make development easy and quick. Security should also be at the top of the list. Can you lock someone down to a single job or even a portion of that job? ODI you can. Are you looking for a data warehouse tool of just something to copy a file from one place to another? Even though ODI can do both I would say that you would be killing a fly with an atom bomb if you just need to shuffle files around. Think about what you need to hook into now and in the future. ODI you can create custom connections, so even if you forgot about something most likely you can connect to it. I have even hooked it to iTunes reports.

2016-04-28 13:48:06 UTC
author avatar
Consultant

Ease of data extract, Ability to support complex Integration between desperate systems, Ability to feed data to different downstream systems, Ability to perform data quality check and Availability of ETL out of box functions..

2016-04-11 20:19:19 UTC
author avatar
Consultant

Ease of use (modeling), flexible options for transformations and custom code, data source agnostic, efficient processing engine, real time monitoring and solid debug tools, good reuse options (refactoring segments of a process to new projects or flows, etc.) good but flexible governance and good documentation (or strong Google search results).

2015-09-30 18:31:26 UTC
author avatar
Consultant

Data quality, data governance, possibility for advance data transformations in a much more easier manner

2015-08-31 08:20:01 UTC
author avatar
Consultant

Data Quality, Governance, Data profiling, Flexibility and ease of use

2015-07-29 06:54:49 UTC
author avatar
TOP 5Vendor

Reusability, Flexibility, Data Governance, Data Quality, Connectivity

2015-07-23 12:31:39 UTC
author avatar
Vendor

Easy to use, Easy to manage

2015-03-10 10:29:09 UTC
author avatar
Consultant

Data Quality, Data Volume, Frequency Of Update (Schedule) and Cross Object communication In an overview.

There could other factors as well but primarily I will go to evaluate this.

2014-12-22 07:29:13 UTC
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