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: OpenText Vertica
Who uses Vertica and for what?
Customers
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A LOT of companies, from tiny startups to the biggest data companies.
7 of top 10 telecoms in world, including AT&T, plus companies like Anritsu that sell analytics to telecom companies.
Social media companies like Twitter.
Manufacturing like Optimal+.
Financial like moneysupermarket.com.
Analytics as a Service like Domo and Gooddata.
Gaming companies like Zynga and Game Show Network.
Ad-tech companies like The TradeDesk and Simpli.fi.
Operational infrastructure companies like HP, Netlink.
Agri-tech companies like the Climate Corp.
Modern disruptors like Uber.
Technology manufacturers like Philips.
Healthcare like Cerner.
Automobile companies like Ford.
Pretty much every company that needs analytics, from tiny to huge.
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Anyone who needs a database to do analytics fast and easy on any amount of data.
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Question on: OpenText Vertica
What’s the best use case for Vertica?
Use Cases
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For Finance: Fraud detection, Anti-money laundering, Risk management
For Government: Law enforcement, Counter terrorism, Traffic flow optimization
For Media/Telecom: Broadcast monitoring, Churn prevention, Advertising optimization
For Manufacturing: Supply chain optimization, Defect tracking, RFID Correlation, Warranty management
For Energy: Weather forecasting, Natural resource exploration
For Healthcare: Drug development, Scientific research, Evidence based medicine, Healthcare outcomes analysis
And in general: Sentiment analysis, Social CRM / network analysis, Churn mitigation, Brand monitoring, Cross and Up sell, Loyalty & promotion analysis, Web application optimization, Marketing campaign optimization, Brand management, Social media analytics, Pricing optimization, Internal risk assessment, Customer behavior analysis, Revenue assurance
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Question on: Sesame Software
Are there any scalability limitations?
What are the scalability limitations I need to be concerned with?
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Relational Junction has patented scalability features that let it copy terabytes of cloud or on-premise data without exceeding API limits, and do it more quickly than any other method using multi-threaded readers and writers. The only real limitation is in the amount of storage you have available.
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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











