Cloud data warehouses have quietly become the backbone of modern data work. Most companies do not think about them every day, but almost every report, dashboard, and forecast depends on them working well in the background. When they do their job right, teams move faster and ask better questions. When they do not, everything slows down.
This article looks at some of the best cloud data warehouse companies in the USA from a practical point of view. Not just who is popular, but who actually fits different ways of working. Some platforms are built for massive scale, others shine in simplicity, and a few stand out because they adapt well as teams grow. The goal here is to make sense of the options without overcomplicating the conversation.
1. כלי עבודה מובילים
At A-listware, we work as a software development and consulting company that supports cloud data warehouse projects for businesses in the USA. Our role is usually not about selling a single platform. We help companies design, build, and maintain cloud data warehouse environments that fit how their teams actually work. That often includes setup, integration, and long-term support, not just development work.
We get involved when data starts to outgrow simple tools. This can mean helping teams move reporting and analytics into the cloud, connecting data sources, or supporting data analytics workloads that sit on top of a cloud data warehouse. Our work often overlaps with application development, infrastructure services, and data analytics, so cloud data warehouse projects are usually part of a bigger system, not a standalone task.
נקודות עיקריות:
- Work with US-based companies across different industries
- Support cloud data warehouse projects as part of broader data and software systems
- Focus on integration, maintenance, and long-term use, not just setup
- Combine data analytics, cloud infrastructure, and development work
- Used to working with distributed teams and ongoing projects
שירותים:
- Cloud data warehouse design and implementation
- Data analytics and reporting support
- Cloud application development tied to data platforms
- Infrastructure services for cloud and hybrid setups
- ניהול שוטף ותמיכה טכנית
פרטי קשר:
- אֲתַר אִינטֶרנֶט: a-listware.com
- כתובת: נורת' ברגן, ניו ג'רזי 07047, ארה"ב
- טלפון: 1 (888) 337 93 73+
- אֶלֶקטרוֹנִי: info@a-listware.com
- פייסבוק: www.facebook.com/alistware
- לינקדאין: www.linkedin.com/company/a-listware
2. דאטבריקס
Databricks works as a data and analytics platform that many companies in the USA use for cloud data warehouse projects. The company focuses on bringing data storage, analytics, and data processing into one shared environment. This setup is often used by teams that want their cloud data warehouse to sit close to data engineering, analytics, and machine learning work.
Databricks supports cloud data warehouse use cases by helping companies store and analyze large datasets in the cloud without managing a lot of infrastructure. The platform is usually part of broader data stacks where teams need flexible access to data for reporting, analytics, and internal tools. In the US market, Databricks is often used by companies that want their cloud data warehouse to grow with their data needs and connect easily with other cloud services.
נקודות עיקריות:
- Provides cloud data warehouse capabilities as part of a wider data platform
- Used by US companies across different industries
- Focuses on shared access to data for analytics and engineering teams
- Designed to work with cloud environments and existing data tools
- Supports long-term data projects, not just short setups
שירותים:
- Cloud data warehouse support
- Data engineering and data processing
- Analytics and reporting workflows
- Data platform setup and maintenance
- Integration with cloud services and tools
פרטי קשר:
- אתר אינטרנט: www.databricks.com
- Address: 160 Spear Street, 15th Floor, San Francisco, CA 94105, USA
- טלפון: 1-866-330-0121+
- לינקדאין: www.linkedin.com/company/databricks
- טוויטר: x.com/databricks
- פייסבוק: www.facebook.com/databricksinc
3. Microsoft Azure Synapse Analytics
Microsoft Azure Synapse Analytics is part of the Azure ecosystem and is used by many US companies as a cloud data warehouse service. The platform is built around the idea of working with analytics, data storage, and big data in one place. It usually comes into play when companies already rely on Azure and want their cloud data warehouse to fit naturally into that setup.
Azure Synapse Analytics supports cloud data warehouse workloads where teams need to run analytics across structured and semi-structured data. It is often used alongside other Microsoft tools, which makes it easier for teams to move data between systems without redesigning everything. For US-based companies, it tends to be part of a larger cloud analytics environment rather than a standalone product.
נקודות עיקריות:
- Used as a cloud data warehouse inside the Azure ecosystem
- Fits well with other Microsoft analytics and data tools
- Supports analytics on different types of data
- Common in US companies already using Azure
- Designed for ongoing analytics work
שירותים:
- Cloud data warehouse capabilities
- Analytics and reporting workloads
- Data integration within Azure
- Big data analytics support
- Platform management and monitoring
פרטי קשר:
- אתר אינטרנט: azure.microsoft.com
- טלפון: (800) 642 7676
- Linkedin: www.linkedin.com/showcase/microsoft-azure
- Facebook: www.facebook.com/MicrosoftUkraine
- אינסטגרם: www.instagram.com/microsoftazure
4. Google BigQuery
Google BigQuery is a cloud data warehouse service offered through Google Cloud and widely used by US companies working with large datasets. The service is known for running analytics without much hands-on infrastructure work. Teams usually focus on querying and analysis rather than setup and tuning.
BigQuery supports cloud data warehouse use cases where speed and simplicity matter. It is often chosen by teams that already use Google Cloud services or work with data coming from web, mobile, or digital platforms. In practice, BigQuery becomes the central place where data is stored and queried for reporting and analytics.
נקודות עיקריות:
- Cloud data warehouse built into Google Cloud
- Used by US companies handling large data volumes
- Designed to reduce infrastructure management
- Common in analytics and reporting workflows
- Works well with other Google data tools
שירותים:
- Cloud data warehouse storage
- ניתוח נתונים ושאילתות
- Data integration within Google Cloud
- Reporting and analysis support
- Platform operations and access control
פרטי קשר:
- Website: cloud.google.com/bigquery
- טוויטר: x.com/googlecloud
5. Amazon Redshift
Amazon Redshift is a cloud data warehouse service offered as part of AWS and used by many US organizations. The service is usually selected by teams that already run applications and data pipelines on AWS. It fits into environments where analytics needs to scale with business systems.
Amazon Redshift supports cloud data warehouse projects that focus on structured analytics and reporting. It is often connected to other AWS services for data ingestion and processing. For US companies, Redshift is commonly one part of a larger AWS-based data setup.
נקודות עיקריות:
- Cloud data warehouse service within AWS
- Used by US companies across different industries
- Integrates with other AWS data services
- Focused on analytics and reporting workloads
- Designed for scalable data environments
שירותים:
- Cloud data warehouse analytics
- Data storage and querying
- Integration with AWS data tools
- Analytics workflow support
- Ongoing platform management
פרטי קשר:
- Website: aws.amazon.com/redshift
- לינקדאין: www.linkedin.com/company/amazon-web-services
- טוויטר: x.com/awscloud
- פייסבוק: www.facebook.com/amazonwebservices
- אינסטגרם: www.instagram.com/amazonwebservices
6. Snowflake
Snowflake operates as a cloud data warehouse platform used by many US companies for analytics and data sharing. The platform is built to separate data storage from compute, which gives teams flexibility in how they run queries and manage workloads. Snowflake is often used when teams want a cloud data warehouse that works across different cloud providers.
Snowflake supports cloud data warehouse use cases where data needs to be shared across teams or departments. It often becomes the central analytics layer for reporting, dashboards, and internal data products. In the US market, Snowflake is commonly adopted by companies that want a clear and simple data warehouse setup without heavy infrastructure tasks.
נקודות עיקריות:
- Cloud data warehouse used across US companies
- Focus on flexible analytics workloads
- Supports data sharing across teams
- Works across multiple cloud environments
- Often used as a central analytics layer
שירותים:
- Cloud data warehouse storage and analytics
- Data sharing and access management
- Reporting and analytics support
- Cross-cloud data operations
- ניהול פלטפורמה
פרטי קשר:
- אתר אינטרנט: www.snowflake.com
- Address: 450 Concar Drive, San Mateo, CA 94402, USA
- Phone: +1 800-274-9694
- E-mail: people.first@snowflake.com
- לינקדאין: www.linkedin.com/company/snowflake-computing
- טוויטר: x.com/Snowflake
- Facebook: www.facebook.com/snowflakedb
7. Firebolt
Firebolt positions itself as an analytics database that is used by US engineering teams as part of cloud data warehouse setups. The platform is designed for fast analytics and is often used when query speed and predictable performance matter. Firebolt usually appears in environments where analytics need to serve applications or user-facing dashboards.
Firebolt supports cloud data warehouse scenarios where teams work with large datasets but still expect quick responses. It is often used alongside modern data pipelines and open data formats. In the US market, Firebolt tends to be adopted by teams that want more control over analytics performance without building everything from scratch.
נקודות עיקריות:
- Used as part of cloud data warehouse architectures
- Focus on analytics performance and speed
- Adopted by US engineering teams
- Works with modern data pipelines
- Designed for application-facing analytics
שירותים:
- Cloud data warehouse analytics
- High-performance query processing
- Data integration support
- Analytics platform setup
- Ongoing technical operations
פרטי קשר:
- Website: www.firebolt.io
- E-mail: sales@firebolt.io
- LinkedIn: www.linkedin.com/company/firebolt
- Twitter: x.com/FireboltHQ
- Facebook: www.facebook.com/firebolthq
8. IBM Db2 Warehouse
IBM Db2 Warehouse works as a cloud data warehouse service used by companies in the USA that deal with mixed and distributed data. IBM positions Db2 Warehouse around analytics that run across cloud and on-prem setups. The service is usually part of larger enterprise data environments where stability and control matter.
IBM Db2 Warehouse supports cloud data warehouse workloads where analytics, reporting, and internal data access need to stay consistent across systems. IBM focuses on connecting structured data with data lakes and shared storage. This makes the platform useful for US companies that already rely on IBM tools and want a cloud data warehouse without redesigning their entire stack.
נקודות עיקריות:
- Provides cloud data warehouse services for US companies
- Supports analytics across cloud and hybrid environments
- Works with structured data and data lake storage
- Often used in enterprise data setups
- Focus on governed access and operational analytics
שירותים:
- Cloud data warehouse analytics
- שילוב נתונים בין סביבות שונות
- Reporting and dashboard support
- Operational analytics workflows
- Platform management and monitoring
פרטי קשר:
- Website: www.ibm.com/products/db2-warehouse
- Address: 1 New Orchard Road, Armonk, NY 10504, USA
- Phone: +1 914 499 1900
- E-mail: info@ibm.com
- לינקדאין: www.linkedin.com/company/ibm
- טוויטר: x.com/ibm
- אינסטגרם: www.instagram.com/ibm
9. Oracle Autonomous AI Lakehouse
Oracle Autonomous AI Lakehouse is used as a cloud data warehouse platform by many US organizations that work across multiple cloud providers. Oracle combines traditional data warehouse features with data lake access. The focus stays on running analytics on different types of data in one place.
Oracle Autonomous AI Lakehouse supports cloud data warehouse use cases where teams want to query data without moving it between systems. The service fits companies that operate in multicloud environments and want consistent access to analytics. In the US market, Oracle is often chosen by businesses already running Oracle databases or applications.
נקודות עיקריות:
- Cloud data warehouse service used by US companies
- פועל עם מספר ספקי ענן
- תומך בנתונים מובנים ולא מובנים
- Fits enterprise and multicloud setups
- Focus on unified analytics access
שירותים:
- Cloud data warehouse analytics
- Data lake and warehouse integration
- Data management and governance
- Analytics and reporting workflows
- Multicloud data access
פרטי קשר:
- Website: www.oracle.com/autonomous-database/autonomous-ai-lakehouse
- Phone: +1 800 633 0738
- לינקדאין: www.linkedin.com/company/oracle
- טוויטר: x.com/oracle
- פייסבוק: www.facebook.com/Oracle
10. Yellowbrick Data
Yellowbrick Data provides cloud data warehouse services for US companies that want analytics without giving up control of their data. Yellowbrick focuses on environments where data needs to stay inside specific cloud accounts or private setups. This approach is often used by teams with strict data location rules.
Yellowbrick Data supports cloud data warehouse workloads that involve fast analytics and reporting. The platform is commonly used alongside other data tools rather than as a full replacement. In the US, Yellowbrick often appears in setups where performance matters but infrastructure teams want simpler operations.
נקודות עיקריות:
- Provides cloud data warehouse services in the USA
- Supports public and private cloud environments
- Focus on analytics performance
- Used in controlled data environments
- Often combined with existing data tools
שירותים:
- Cloud data warehouse analytics
- Data querying and reporting
- Integration with data pipelines
- Deployment in cloud or private setups
- Ongoing platform support
פרטי קשר:
- Website: yellowbrick.com
- Address: 660 W. Dana Street, Mountain View, CA 94041, USA
- Phone: +1 877 492 3282
- E-mail: info@yellowbrick.com
- LinkedIn: www.linkedin.com/company/yellowbrickdata
- Twitter: x.com/yellowbrickdata
11. MotherDuck
MotherDuck offers a cloud data warehouse built around DuckDB and is used by US teams working with analytics and internal data. MotherDuck focuses on keeping data work simple and close to SQL. The service is often used by smaller data teams that want shared access without heavy infrastructure.
MotherDuck supports cloud data warehouse use cases where analytics, dashboards, and internal tools rely on fast queries. The platform is commonly used in product analytics and internal reporting. In the US market, MotherDuck is usually chosen by teams that prefer lightweight data stacks.
נקודות עיקריות:
- Provides cloud data warehouse services in the USA
- Built around DuckDB and SQL workflows
- Used by small and mid-sized data teams
- Focus on shared analytics access
- Fits internal and product analytics use cases
שירותים:
- Cloud data warehouse storage
- SQL-based analytics
- Data sharing across teams
- Analytics support for internal tools
- Platform access and management
פרטי קשר:
- Website: motherduck.com
- E-mail: info@motherduck.com
- LinkedIn: www.linkedin.com/company/motherduck
- Twitter: x.com/motherduck
12. ClickHouse Cloud
ClickHouse Cloud provides cloud data warehouse services for US companies that work with real-time and analytical data. ClickHouse Cloud is based on the open source ClickHouse database and runs as a managed cloud service. It is often used when analytics need to stay responsive under load.
ClickHouse Cloud supports cloud data warehouse workloads tied to dashboards, monitoring, and event data. The service is used by US teams that want analytics close to production systems. ClickHouse Cloud usually fits environments where query speed and scale matter more than complex modeling.
נקודות עיקריות:
- Cloud data warehouse service used in the USA
- Based on open source ClickHouse
- Focus on analytics and real-time data
- Works in managed cloud environments
- Common in monitoring and reporting setups
שירותים:
- Cloud data warehouse analytics
- Real-time data querying
- Data ingestion and integration
- Reporting and dashboard support
- Managed cloud operations
פרטי קשר:
- Website: clickhouse.com/cloud
- E-mail: info@clickhouse.com
- LinkedIn: www.linkedin.com/company/clickhouseinc
- טוויטר: x.com/ClickhouseDB
13. Panoply
Panoply works as a cloud data warehouse provider for companies in the USA that want one place to collect and analyze business data. The platform combines data loading, storage, and basic analytics in a single setup. Panoply is usually used by teams that want to centralize data without building complex pipelines.
Panoply supports cloud data warehouse use cases where data comes from many tools like marketing platforms, sales systems, and product apps. The platform acts as a shared data layer that teams can query and use for reporting. In the US market, Panoply is often part of analytics stacks for small and mid-sized businesses.
נקודות עיקריות:
- Provides cloud data warehouse services in the USA
- Combines data loading and storage in one platform
- Used for centralized analytics and reporting
- Supports SQL-based data exploration
- Fits teams with limited data engineering resources
שירותים:
- Cloud data warehouse storage
- Data ingestion from business tools
- תמיכה באנליטיקה ובדיווח
- SQL access for data teams
- Integration with BI tools
פרטי קשר:
- Website: panoply.io
- LinkedIn: www.linkedin.com/company/panoply-io
- Twitter: x.com/panoplyio
- Facebook: www.facebook.com/panoply.io
14. Teradata VantageCloud
Teradata VantageCloud provides cloud data warehouse services for US companies that handle large and complex analytics workloads. The platform is built for organizations that need consistent analytics across cloud environments. Teradata focuses on structured analytics and long-term data management.
Teradata VantageCloud supports cloud data warehouse scenarios where reporting, analytics, and operational data need to live in the same environment. The service is often used by enterprises with existing Teradata systems moving analytics to the cloud. In the USA, it is commonly part of enterprise analytics strategies.
נקודות עיקריות:
- Cloud data warehouse service used by US enterprises
- Designed for large-scale analytics workloads
- Supports cloud-based data environments
- Focus on structured analytics and reporting
- Often used in long-term data programs
שירותים:
- Cloud data warehouse analytics
- Enterprise reporting support
- Data management and access control
- Analytics workload processing
- Platform deployment and support
פרטי קשר:
- Website: www.teradata.com/products/vantagecloud
- Address: 107 Technology Parkway, Peachtree Corners, GA, 30092
- טלפון: 1-866-837-2328+
- לינקדאין: www.linkedin.com/company/teradata
- טוויטר: x.com/teradata
- פייסבוק: www.facebook.com/Teradata
- Instagram: www.instagram.com/teradat
15. Ocient
Ocient provides cloud data warehouse services for US organizations working with large and fast-moving datasets. The company focuses on analytics that need to run continuously and handle complex data structures. Ocient is often used where traditional data warehouses struggle with scale.
Ocient supports cloud data warehouse workloads tied to real-time analytics and operational data. The platform is used in industries where high data volume is common, such as telecom, finance, and geospatial work. In the US market, Ocient is part of advanced analytics environments.
נקודות עיקריות:
- Provides cloud data warehouse services in the USA
- Built for high-volume analytics workloads
- Supports real-time and operational analytics
- Used in data-heavy industries
- Focus on efficient data processing
שירותים:
- Cloud data warehouse analytics
- עיבוד נתונים בזמן אמת
- Query optimization support
- Deployment in cloud or on premises
- Ongoing platform management
פרטי קשר:
- Website: ocient.com
- Address: 20 N. Wacker Drive, Suite 1200, Chicago, IL 60606
- E-mail: info@ocient.com
- LinkedIn: www.linkedin.com/company/ocient
- Twitter: x.com/ocient
מַסְקָנָה
Choosing between cloud data warehouse companies in the USA is less about finding a perfect option and more about finding a practical fit. Each platform comes with its own way of handling data, teams, and workloads. Some work better for fast analytics. Others make sense when stability and long-term reporting matter more.
What usually makes the difference is context. The size of the team. The tools already in use. How often data changes. And who actually needs access to it day to day. A setup that feels right for one company can feel heavy or limiting for another.
The good news is that the US market offers real variety. From lightweight platforms to enterprise-grade systems, there are solid options for different stages and needs. Taking the time to understand how each cloud data warehouse fits into daily work tends to lead to better decisions than chasing trends or feature lists.
