Find out what your peers are saying about Oracle, Micro Focus, Teradata and others in Data Warehouse.
291,818 professionals have used our research since 2012.
Find out what your peers are saying about Oracle, Micro Focus, Teradata and others in Data Warehouse.
291,818 professionals have used our research since 2012.
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Average Rating
Average rating based on reviews
Number of total page views
Number of times compared to another product
Total number of reviews on IT Central Station
Number of followers on IT Central Station
The total ranking of a product, represented by the bar length, is based on a weighted aggregate score. The score is calculated as follows: The product with the highest count in each area gets the highest available score. (20 points for Reviews; 16 points for Views, Comparisons, and Followers.) Every other product gets assigned points based on its total in proportion to the #1 product in that area. For example, if a product has 80% of the number of reviews compared to the product with the most reviews then the product's score for reviews would be 20% (weighting factor) * 80% = 16. For Average Rating, the maximum score is 32 points awarded linearly based on our rating scale of 1-10. If a product has fewer than ten reviews, the point contribution for Average Rating is reduced (one-third reduction in points for products with 5-9 reviews; two-thirds reduction for products with fewer than five reviews). Reviews that are more than 24 months old, as well as those written by resellers, are completely excluded from the ranking algorithm.

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Data Warehouse Articles

What is Data Warehouse?

A Data Warehouse, sometimes categorized as an Enterprise Data Warehouse, (DW or DWH) is a data analysis and reporting system. Data Warehouses are fundamental storehouses of integrated data from single, or multiple sources, storing historical or current data in one location where data is utilized, creating reports for designated Enterprise users.

A DW is considered an integral component of business intelligence and describes a system used to analyze an organization's raw data. The Data Warehouse oversees the performance of a business database and monitors its agility when loading and retrieving data.

IT professionals on IT Central Station have certain core requirements when looking at the integration of a Data Warehouse. Some of these include which analytical capabilities are supported. For example, support of SAP HANA is viewed as a plus because it has necessary, analytical layers built within the Data Warehouse.

Other important criteria include the variety of supported data, structured and unstructured, and how they co-exist among various big data solutions. There are options where a Data Warehouse would have the capability to integrate or support other data management solutions. The inclusion of ETL tools, with extensibility, is always a preference in the Data Warehousing solution.

Some IT and DevOps professionals see Data Warehousing address both business and technical requirements because of the evolution from high-powered databases, with storage locally or in the cloud, (enhanced storage) to significant Enterprise information management solutions. Certain warehouse data is transferred from dedicated systems, such as Sales or Marketing. Data may be cleansed to ensure the quality of data before using it for reporting purposes.

Hence, ease of using in finding and retrieving data is essential. For Data Warehousing, IT and DevOps are focused on the total cost of ownership, scalability and performance features such as in-memory architecture, and row-based optics versus columnar or parallel processing. Storage optimization is key for data compression capability and caching. Of course, security and compliance for regulated organizations need support for data access control, masking, and auditing.

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