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Saxon AI
Irving, United States
B
101-250 Employees
2004
Key takeaway
Saxon is a data and analytics company that specializes in modernizing data warehouses through their proven migration methodology and tools. They support organizations in their digital transformation journey, helping them become more insights-driven and solve business challenges effectively.
Reference
Service
Data Warehouse Service Providers | Saxon AI
Modernize your Data Warehouse Service with confidence using Saxon-proven migration methodology, migration tools, and partner solutions.
Snowflake
United States
B
1001-5000 Employees
2012
Key takeaway
Snowflake is a service provider that offers robust data warehousing solutions as part of its Data Cloud platform, enabling organizations to effectively mobilize and analyze their data. With its ability to unite siloed data and support diverse analytic workloads, Snowflake empowers businesses to gain insights and leverage data-driven opportunities.
Reference
Product
Snowflake Retail Data Cloud | Snowflake for Retail & Consumer Goods
GlowByte Consulting
Russia, United States
B
501-1000 Employees
1997
Key takeaway
GlowByte Consulting specializes in data warehousing and business intelligence solutions, offering expertise in data integration and analytical applications. Their commitment to high-quality services and collaboration with leading software vendors positions them as a key player in delivering tailored data solutions across various industries.
Reference
Product
Data Warehouses
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2nd Watch
Seattle, United States
B
251-500 Employees
2010
Key takeaway
2nd Watch emphasizes the importance of data warehousing as a foundational element for a successful business intelligence platform. Their expertise in cloud solutions and data engineering positions them well to support enterprises in building modern data ecosystems for enhanced analytics and operational efficiency.
Reference
Service
Data Warehousing | Forward-Thinking Data Strategies | 2nd Watch
Based on our extensive industry background, 2nd Watch recommends a data warehouse as the foundation to a successful business intelligence platform. Data Warehousing...
Amazon Web Services UK
Seattle, United States
B
10001+ Employees
1994
Key takeaway
Amazon Web Services (AWS) offers a robust infrastructure platform that supports data warehousing solutions, enabling organizations to enhance their data management and analytics capabilities. With a focus on scalability and reliability, AWS empowers businesses to optimize their operational efficiency through effective cloud transformation.
Reference
Product
AWS 上的資料湖基礎 – 解決方案
Tableau
Seattle, United States
B
1001-5000 Employees
2003
Key takeaway
Tableau is a software publisher that specializes in data analysis and visualization, providing advanced analytics solutions that help organizations explore and visualize large datasets. Notably, Dwolla, a payment processing company, utilizes Tableau alongside AWS to enhance their data infrastructure, streamline insights, and eliminate data silos, ultimately enabling them to make data-driven decisions more efficiently.
Reference
Product
Dwolla uses Tableau + AWS to end data silos, speed insights
Dwolla is a U.S. based payment company that offers real-time payment solutions. When Dwolla adopted Amazon Web Services (AWS) to scale their infrastructure, they needed an analytics tool to leverage their data. The requirements? The tool had to connect directly to their data sources and quickly deliver insights. More importantly, it had to be able keep up with the growing company’s data needs—without breaking the bank.
Impetus Technologies
Los Gatos, United States
B
1001-5000 Employees
1991
Key takeaway
Impetus Technologies specializes in data warehouse modernization, offering expert services that enhance organizational efficiency through scalable and reliable data workflows. Their solutions, including LeapLogic, automate the transformation of legacy data warehouses to cloud-native architectures, supporting enterprises in their digital transformation efforts.
Reference
Service
Data Lakes and Warehouses | Impetus
Accelerate data lake and data warehouse creation with a scalable, automated, and cost-effective approach to easily achieve your data transformation goals.
Databank IMX
Chesterton, United States
B
501-1000 Employees
1996
Key takeaway
DataBank, a Kyocera Group Company, offers a data warehouse solution that serves as a centralized point to normalize and activate data from multiple sources and systems. This capability is designed to enhance data processing, boost productivity, and improve decision-making for clients across various sectors.
Reference
Service
Data Warehouses - DataBank IMX
Utilize a data warehouse solution that serves as a centralized point to normalize and empower the activation of data from multiple sources and systems.
Cloudwick
Newark, United States
B
101-250 Employees
2011
Key takeaway
Cloudwick specializes in data analytics and warehousing solutions, offering integration with Amazon Redshift to enhance data insights and analytics at scale. Their expertise in big data frameworks like Apache Hadoop and Spark positions them as a key player in transforming data strategies for various sectors.
Reference
Product
Logistics & Warehousing Microsite - Cloudwick: The Data Cloud Company
Amorphic Data Cloud for Logistics. Supporting retailers on AWS to transform, innovate, and accelerate their data & analytics.
Databricks Ventures
San Francisco, United States
B
1001-5000 Employees
2013
Key takeaway
Databricks offers a Unified Analytics Platform that seamlessly integrates data lakes and data warehouses, making it a valuable resource for data engineering and analytics. With its Lakehouse Platform, the company empowers organizations to unify their data processes, facilitating efficient big data analytics and machine learning.
Reference
Product
Data Engineering | Databricks
Tens of millions of production workloads run daily on Databricks
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You are dealing with a lot of data from different systems. You feel you are not using the data properly to gain insight in your business and take the best decision. Bring your data to Bigquery and use this centralized system to learn from all the data. You will be surprise how data driven decision will impact the growth of your business.
Use case
Google BigQuery
All
You are dealing with a lot of data from different systems. You feel you are not using the data properly to gain insight in your business and take the best decision. Bring your data to Bigquery and use this centralized system to learn from all the data. You will be surprise how data driven decision will impact the growth of your business.
When exploring the Data Warehousing industry in the United States, several key considerations come into play. First, understanding the regulatory environment is crucial; compliance with data protection laws like the GDPR and CCPA can significantly impact operations. The industry faces challenges such as data security threats, scalability issues, and the need for integration with various data sources. Opportunities abound in the growing demand for big data analytics and cloud-based solutions, which drive the necessity for efficient data warehousing strategies. The competitive landscape is characterized by established players and emerging startups, making it essential to evaluate company offerings, technological advancements, and customer service. Additionally, the shift towards real-time data processing is reshaping traditional data warehousing approaches, prompting companies to adapt or risk obsolescence. Environmental concerns related to energy consumption in data centers are becoming increasingly relevant, pushing organizations toward greener technologies. With a global market that continues to expand, professionals in this sector must remain informed about international trends and innovations that could influence domestic operations. Overall, a comprehensive understanding of these factors will enable informed decision-making for anyone interested in entering or investing in the Data Warehousing industry in the U.S.
Some interesting numbers and facts about your company results for Data Warehousing
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 3152 |
| Amount of suitable service providers | 3564 |
| Average amount of employees | 1001-5000 |
| Oldest suiting company | 1991 |
| Youngest suiting company | 2013 |
Some interesting questions that has been asked about the results you have just received for Data Warehousing
What are related technologies to Data Warehousing?
Based on our calculations related technologies to Data Warehousing are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Data Warehousing?
The most represented industries which are working in Data Warehousing are IT, Software and Services, Other, Logistics, Supply Chain and Transportation, Consulting, Marketing Services
How does ensun find these Data Warehousing Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.