Data Warehouse Solutions Resources
Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Data Warehouse Solutions
Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, and reports from industry data.
Data Warehouse Solutions Articles
36+ Big Data Examples and Applications In Real Life
As companies rationalize their database management practices, more firms turn to big data to operationalize their business outcomes.
by Devin Pickell
25+ Data Warehouse Statistics IT Teams Need to Know in 2024
In today's era of big data, having a reliable storage solution and effective analytical tools is essential.While basic databases are adept at organizing information, a data warehouse offers both storage capabilities and powerful analysis tools, enabling you to process and transform data into valuable insights for decision-making.As businesses increasingly recognize the importance of data warehouses, the market for these solutions is experiencing rapid growth. Investing in a data warehouse solution can help your organization remain competitive in the data-driven landscape.We've compiled some statistics to provide further insights into this industry growth and the necessity for such solutions. So, let's dive in!
by Melanie Maggine
Introducing G2’s Latest Category: Data Warehouse Automation
The data warehouse software market is booming. According to a report by Yellowbrick, it is estimated that the size of this market will be over $30 billion by 2025.
by Preethica Furtado
8 Big Data Technologies On the Rise
The media storm surrounding big data has calmed, but businesses are still searching for ways to harness all this data.
by Devin Pickell
The 4 Most Important Big Data Programming Languages
Programming languages, just like spoken languages, have their own unique structures, formats, and flows.
by Devin Pickell
What Is a Data Lake and Why Is It Essential for Big Data?
If you’re someone like me, you enjoy structure, neatness, and simplicity.
by Devin Pickell
Data Warehouse Solutions Glossary Terms
Data Warehouse Solutions Discussions
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Question on: IBM Db2
What is IBM Db2 used for?
What is IBM Db2 used for?
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It is a name of the database which is used in IBM I system.
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Question on: SQL Server 2019
What is SQL Server 2019 used for?
What is SQL Server 2019 used for?
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SQL Server 2019 is a popular relational database management system (RDBMS) developed by Microsoft. It is primarily used for managing and storing data in a structured manner and providing a platform for managing and manipulating that data. Below are some key uses and features of SQL Server 2019:
1. Data Storage and Retrieval: SQL Server 2019 provides a reliable and efficient platform to store and retrieve large volumes of data. It supports various data types, such as text, numbers, dates, and binary data, which can be organized into tables, columns, and rows.
2. Data Management: SQL Server 2019 offers tools and features to manage and manipulate data effectively. It provides a query language called Structured Query Language (SQL), which enables users to perform various operations like inserting, updating, deleting, and querying data within the database. Additionally, it supports transactions to ensure data integrity and consistency.
3. Data Security: SQL Server 2019 includes several security mechanisms to protect data. It offers features like authentication, encryption, and access control to prevent unauthorized access and protect sensitive information stored in the database.
4. Scalability and Performance: SQL Server 2019 is designed to handle large amounts of data and support high-performance applications. It provides features such as indexing, query optimization, and parallel processing to enhance database performance. Furthermore, it supports scaling out by distributing data across multiple servers for increased scalability.
5. Business Intelligence: SQL Server 2019 incorporates various features for business intelligence (BI) solutions. It includes tools like SQL Server Analysis Services (SSAS) for creating multidimensional models and performing data analysis, SQL Server Reporting Services (SSRS) for designing and generating reports, and SQL Server Integration Services (SSIS) for extract, transform, and loading (ETL) operations.
6. Replication and Availability: SQL Server 2019 supports database replication, which enables the synchronization of data across multiple servers to provide redundancy and enable fault tolerance. It also includes features like Always On Availability Groups and Failover Clustering for high availability and disaster recovery scenarios.
7. Integration with Other Technologies: SQL Server 2019 integrates with various other technologies, both from Microsoft and third-party vendors. For example, it supports integration with the Microsoft .NET framework, allows connectivity with different programming languages and frameworks, and offers support for integration with cloud platforms like Azure.
Overall, SQL Server 2019 is a comprehensive database management system that offers a wide range of features and capabilities, making it suitable for applications of different sizes and complexities across various industries.
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Question on: Cloudera Data Platform
What is Cloudera used for?
What is Cloudera used for?
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Cloudera supports distributed processing using Apache Spark, Hive, and YARN, enabling fast processing of very large datasets.
Use cases
Batch processing and ETL (extract, transform, load)
Large‑scale data transformations
Log and event data processing
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Data Warehouse Solutions Reports
Mid-Market Grid® Report for Data Warehouse
Spring 2026
G2 Report: Grid® Report
Grid® Report for Data Warehouse
Spring 2026
G2 Report: Grid® Report
Enterprise Grid® Report for Data Warehouse
Spring 2026
G2 Report: Grid® Report
Momentum Grid® Report for Data Warehouse
Spring 2026
G2 Report: Momentum Grid® Report
Small-Business Grid® Report for Data Warehouse
Spring 2026
G2 Report: Grid® Report
Enterprise Grid® Report for Data Warehouse
Winter 2026
G2 Report: Grid® Report
Small-Business Grid® Report for Data Warehouse
Winter 2026
G2 Report: Grid® Report
Mid-Market Grid® Report for Data Warehouse
Winter 2026
G2 Report: Grid® Report
Grid® Report for Data Warehouse
Winter 2026
G2 Report: Grid® Report
Momentum Grid® Report for Data Warehouse
Winter 2026
G2 Report: Momentum Grid® Report











