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.

Contents

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

Data Warehouse Solutions Glossary Terms

Data Lake Vs. Data Warehouse

A data lake stores unfiltered structured and unstructured data, whereas a data warehouse holds cleansed structured data. Learn about their differences.

by Sudipto Paul

Data Warehouse

A data warehouse is a central repository of information where data is stored and used for decision-making. Learn about its types and characteristics.

by Sagar Joshi

Data Center

A data center provides an infrastructure for shared access to multiple applications and data. Dive into data center best practices that help secure data.

by Sagar Joshi

Social Web

The social web encompasses web structures, services, and interfaces that support social interaction among people. Learn more about its types and benefits.

by Sagar Joshi

Data Modeling

Data modeling is the process of creating visual representations of information systems to better communicate the connections between data points and structures. Learn more about data modeling in this G2 guide.

by Amal Joby

Data Warehouse Solutions Discussions

What is the best software for automating data warehouse maintenance?

Hi all, ongoing maintenance like scaling, performance tuning, and optimization can be time-consuming. I am looking for data warehouse platforms that automate as much of this work as possible.

Platforms I am considering:

Snowflake for automated scaling and optimization
Google Cloud BigQuery for serverless warehouse management
Amazon Redshift for managed maintenance features
Databricks Data Intelligence Platform for automated optimization workflows

For teams focused on efficiency:

Which platforms reduced manual maintenance the most?
How transparent were automated optimizations?
Did automation ever create unexpected issues?

Have you found automation features restricted to premium plans?

Answered: Yashwathy Marudhachalam on February 2, 2026

Your answer

What are the best platforms for integrating data warehouses with BI tools?

Hi everyone, we are trying to make analytics more accessible by tightly integrating our data warehouse with BI tools for reporting and dashboards. I am looking for platforms that work smoothly with popular BI solutions and minimize data latency.

Some tools I am evaluating:

Snowflake for strong BI ecosystem compatibility
Google Cloud BigQuery for native integrations with modern BI tools
Amazon Redshift for analytics and BI workloads
Databricks Data Intelligence Platform for unified analytics and BI access
SAP Datasphere for SAP native BI integration

For analytics teams:

Which platforms integrated most easily with BI tools?
How reliable was query performance for dashboards?
Did integrations reduce data duplication?

Have you encountered BI integration features limited to higher pricing tiers?

Answered: Yashwathy Marudhachalam on February 2, 2026

Your answer

Question on: EXASOL

How Exasol DB is different from Other Transactional Database.

In My current client engagement, we are keeping all the data in Microsoft SQL server. but now we have to migrate from SQL server to another transaction database because we are facing performance issue in IT. Client suggested to migrate to Databricks SQL or Exasol. so need some suggestions and expertise on this?

Hi Mayank, I have worked on all 3 databases (SQL server, Exasol & Databricks SQL) so I will try my best opinion to choose good database in terms of Performance for your organization. Microsoft SQL Server is also a good choice of transaction database but if you have a large amount of data and you have some downstream application or reports to use that data then you can see some performance issue. Exasol is the best choice because this is a in-memory database so all the data stores in the RAM or you can say in the In-Memory not in DISK so when you extract or load the data then its is very fast as compared to other databases. In Exasol, we have LUA scripts as well which can be used to implement the ETL pipeline to fetch the data from different sources and loading it into Exasol DB. Exasol DB can be integrated Easily with reporting solutions like POwerBI or Tableau so the reports which integrates with ExasolDB is also very fast in terms of Performance. Databricks SQL is also a good choice of database but it requires lot of technical expertise to implement the data pipeline in Databricks SQL so it will be good to implement the same in Exasol. The only limitation of Exasol is Cost/Price so if your organization is well established to adopt it then this is a great choice.

Data Warehouse Solutions Articles

36+ Big Data Examples and Applications In Real Life

25+ Data Warehouse Statistics IT Teams Need to Know in 2024

Introducing G2’s Latest Category: Data Warehouse Automation

8 Big Data Technologies On the Rise

The 4 Most Important Big Data Programming Languages

What Is a Data Lake and Why Is It Essential for Big Data?

Data Warehouse Solutions Glossary Terms

Data Warehouse Solutions Discussions

Data Warehouse Solutions Reports