Difference between OLE DB and ODBC?

-

ODBC (Open Data Base Connectivity) 

  • It is a connection method with data source.
  • It requires to set up a data source, or what is call DSN (Database Source Name) using a SQL Driver or other drivers if connecting to other database types.
  • Most database systems support ODBC.
  • ODBC provides access only to relational databases.

OLE DB (Object Linking and Embedding Database) 

  • It is a successor of ODBC.
  • Access to data regardless of its format or location i.e. access the data in uniform manner.
  • OLE DB does not require a DSN.
  • OLE DB provides full access to ODBC data sources and ODBC drivers.
  • In many cases the OLE DB components offer much better performance than the older ODBC.
  • OLE DB provides access to relational and non-relational databases.

Comments

Post a Comment

Popular posts from this blog

SharePoint 2007 - Simple Task Dashboard

-
Image
example of creating a simple Task Dashboard. This is a pretty basic example of using all OOTB (out of the box) features and combining them to quickly build a solution. Scenario: We want to provide a way for users to easily see a summary of the current project tasks. We want them to be able to see the following information: Open Tasks Assigned to Them Overdue Tasks Tasks Due This Week Task Calendar Tasks Assigned to Others Solution: To build this solution we will be using several different tools available in SharePoint, all included in the list below: Task List Task List Views We will create views for each of the different ways we want to see the data displayed on our dashboard. Web Part Page List View Web Parts Custom Navigation The first thing we will do is create our task lists and then configure all the views that we need. To create the list, go to View All Site Content, Create and then select the Task list. Next, we will need to configure our custom views. To do this, w
Read more

MERGE transformation in SSIS

-
Image
In this post we are gonna discuss about MERGE transformation. MERGE in SSIS is equal to UNION ALL in SQL Server. This transformation unions two datasets/tables.The merge Transformation combines two  sorted  dataset into single dataset. Highlighted the text SORTED in last statement because “It is not possible to use MERGE when the inputs are NOT SORTED”. There is one more transformation which is very similar to this i.e UNION ALL. The Merge Transformation is similar to the union all transformations. Use the union all transformation instead of the merge transformation in the following situations. The transformation inputs are not sorted The combined output does not need to be sorted. The transformation has more than two inputs. MERGE takes ONLY TWO inputs where as UNION ALL can take more than two. Now lets see how to configure MERGE transformation with an example. I created TWO tables with names MergeA and MergeB and inserted few records into each table as shown below.
Read more