The ETL tools might be developed by different companies. One of them – widely known and popular – is SAS Enterprise which offers an integrated ETL platform.

SAS is over twenty-five-year company from the USA offering business intelligence software. SAS – one of the market leaders – combines data warehousing and intelligence applications for traditional business.

SAS’ platform is advertised as the one to accomplish current requirements of punctuality, cost-effectiveness, credibility and compatibility with different data storing systems. Moreover, the efficiency of SAS ETL is enough to support the whole enterprise processes, managing to extract data from other platforms and sources.

Connect all your data sources to any data warehouse

The SAS Enterprise ETL Server offers also an interactive ETL environment providing some facilities such as multithreaded and multiprocessing data extraction and the engines – able to work in the same time – that minimizes the time needed for succeeding the operations and data transfers. Also the calendar and job and resource dependency managing tools are included. What’s worth pointing, SAS ETL environment might be controlled with SAS ETL Studio (also included) that enables an access to the whole database from one point.
The SAS platform is also able to reduce duplicate or inaccurate data – that option permits to reduce overgrowing costs. It was projected to simplify the ETL processes – large pressure was put on the financial aspects. Also the efficiency got improved – all the algorithms, transformations and codes are registered (creating a full documentation) to make them easy revocable – it saves a lot of time. The drag-and-drop interface also simplifies the use, not demanding complicated knowledge from programming or SQL (Structured Query Language – database language for managing data).

SAS ETL is only one platform but the market offers much wider choice. Although all the companies, more or less, aspire to the common goal which is improving databases’ managing, platforms offered by them differs significantly. It’s impossible to tell unambiguously which one is the best – it all depends on the needs and requirements.

Connect all your data sources to any data warehouse