Top 8 Data Warehouse

SnowflakeOracle ExadataTeradataVerticaSAP BW4HANAApache HadoopOracle Database ApplianceTIBCO Live Datamart
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    This solution has helped our organization by being easy to maintain and having good technical support.The features I found most valuable with this solution are sharing options and built-in time zone conversion.
  2. We like the tool’s features like Smart Scan, Hybrid Columnar Compression, and the TFA.Complete management occurs from one single address instead of different servers.
  3. Buyer's Guide
    Data Warehouse
    March 2023
    Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: March 2023.
    688,618 professionals have used our research since 2012.
  4. Designing the database is easy.The most valuable feature of Teradata is the quick processing of large data.
  5. I appreciate the flexibility offered by Vertica's projections. It allows for modifying the primary projection without altering the tables, which helps to optimize queries without the need to modify the underlying data.
  6. It's quite scalable. Provides a great analytics engine with all the capabilities.
  7. Apache Hadoop can manage large amounts and volumes of data with relative ease, which is a feature that is beneficial.One valuable feature is that we can download data.
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    688,618 professionals have used our research since 2012.
  9. The most valuable feature of the solution is the ability to combine all the data without the need for additional devices.The main feature is the management and manageability of the tool. We can create a VM on a laptop within a couple of clicks.
  10. You can create your own rules that include mathematic calculations. The solution has a powerful aggregating feature

Advice From The Community

Read answers to top Data Warehouse questions. 688,618 professionals have gotten help from our community of experts.
Netanya Carmi - PeerSpot reviewer
Netanya Carmi
Content Manager at PeerSpot (formerly IT Central Station)

Why would you choose that one?

Bruce Tan - PeerSpot reviewer
Bruce Tan
Director at SLS Bearings (S) Pte. Ltd.
I am a director at a business enhancement solutions company that provides mechanical systems and distributes high-quality bearings and related products.I am planning for b2b e-commerce. I have operations in Singapore, Malaysia, Indonesia, China, and Mongolia. Each country uses a different ERP. Si...
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reviewer1331664 - PeerSpot reviewer
reviewer1331664For most clients, we suggest a data pipeline that includes an inexpensive… more »
9 Answers

Data Warehouse Articles

Netanya Carmi - PeerSpot reviewer
Netanya Carmi
Content Manager at PeerSpot (formerly IT Central Station)
PeerSpot’s crowdsourced user review platform helps technology decision-makers around the world to better connect with peers and other independent experts who provide advice without vendor bias. Our users have ranked these solutions according to their valuable features, and discuss which features...
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Data Warehouse Topics

How does a data warehouse work?

A data warehouse serves as a central repository for information that flows into it from various databases. The data is then processed, standardized, and merged so that it can be accessed by users in spreadsheets, SQL clients, and business intelligence tools. Once all of the data is compiled in one place, organization executives can analyze it and mine the data for patterns that will assist in making business decisions.

What is data warehousing used for?

Data warehousing is used in many sectors, including:

  • Airline industry - for operations purposes such as crew assignments, route profitability analysis, and frequent flyer programs.
  • Banking - for managing resources, performance analysis, and market research.
  • Healthcare - for generating patient treatment reports, strategizing and predicting outcomes, and sharing data with insurance companies and medical aid services.
  • Hospitality industry - for designing and estimating advertising campaigns and promotions based on client travel patterns and feedback.
  • Investment and insurance sector - for analyzing customer trends and tracking market movements.
  • Public sector - for gathering of intelligence such as tax records and health policy records.
  • Retail chains - for distribution and marketing, for tracking customer buying patterns and for determining prices.
  • Telecommunications - for making sales and distribution decisions.
What is the Difference Between a Data Warehouse and a Database?

Data warehouses and databases are both used for storing data. A database is used to store a large amount of real-time information, such as which items are in stock or have been sold. It processes your company’s daily transactions via simple queries. A data warehouse (DW or DWH) compiles historical (not current) data from multiple sources within your organization, handling complex queries which are used to create and analyze reports and then extract insights and make business decisions.

Databases and data warehouses process data differently. Databases use OLTP (online transactional processing) to quickly update a large amount of simple online transactions. OLTP responds immediately and therefore is useful in processing real-time data. Data warehouses, on the other hand, use OLAP (online analytical processing) to analyze large amounts of data and find out trends from them, such as how much is sold each day.

Types of Data Warehouse

There are three main kinds of data warehouse:

1. Enterprise Data Warehouse (EDW). This is a centralized warehouse that offers a unified approach for representing and organizing data. It allows data to be classified according to subject and helps executives to make tactical and strategic decisions.

2. Operational Data Store (ODS). This database integrates data from various sources for operational reporting and decision-making, and complements the EDW.

3. Data Mart. This subset of the data warehouse is specially designed for use by a specific department within the business, such as sales or finance, and can collect data directly from the sources.

Benefits of a Data Warehouse

The benefits of a data warehouse include:

  1. Enhances the quality and consistency of data. Data in a data warehouse is converted into a consistent format. With data across the organization standardized, the data will be more accurate, which means decisions made based on it will be more solid.
  2. Saves time and money. A data warehouse preserves, standardizes, and stores data from various sources, which aids in consolidating and integrating the data. Company executives can also query the data in the data warehouse themselves without IT support, which saves time as well as money.
  3. Delivers enhanced business intelligence from multiple sources. In addition, data warehouses can be easily applied to all of your business’s processes, such as sales, market segmentation, inventory, and financial management.
  4. Assists with decision-making and forecasting, including identifying potential KPIs and gauging predicted results.
  5. Streamlines the information flow to all parties.
  6. Provides a competitive advantage by offering a holistic view of the company’s standing and allowing executives to evaluate risks and opportunities.
  7. Generates a high ROI (return on investment).

Buyer's Guide
Data Warehouse
March 2023
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: March 2023.
688,618 professionals have used our research since 2012.