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Top 8 Cloud Data Warehouse Tools

SnowflakeMicrosoft Azure Synapse AnalyticsAzure Data FactoryAmazon RedshiftVerticaOracle Autonomous Data WarehouseSAP Business WarehouseAWS Lake Formation
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    All the people who are working with Snowflake are extremely happy with it because it is designed from a data-warehousing point of view, not the other way around. You have a database and then you tweak it and then it becomes a data warehouse.
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    Technical support is okay in terms of the help they provide.We've had a good experience with technical support in general.
  3. Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: October 2021.
    542,721 professionals have used our research since 2012.
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    In terms of my personal experience, it works fine.Its integrability with the rest of the activities on Azure is most valuable.
  5. Redshift's Excel features are handy. Redshift spectrum allows you to directly query the data on an Excel sheet. Now, SQL Server also allows this, but Redshift has many more features.
  6. Vertica is a columnar database where the query performance is extremely fast and it can be used for real-time integrations for API and other applications. The solution requires zero maintenance which is helpful.
  7. The performance and scalability are awesome.The solution integrates well with Power BI.
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  9. I like that it integrates to open-source.In terms of stability, comparatively, the solution is quite stable.
  10. The solution is quite good at handling analytics. It's done a good job at helping us centralize them.The most important advantage in using AWS Lake Formation is its ability to connect the data lake to the other technologies in AWS. This is what I advise my clients.

What are the Benefits of Cloud Data Warehousing?

Any business depending on data to streamline its operations or to better serve its customers will benefit from cloud data warehousing. Here are a few areas where businesses big or small can dynamically grow their company by using cutting-edge cloud data warehouse technology:

  • Customer experience: Monitoring individual consumer behaviors can help organizations better serve their customers. By analyzing end-user behavior in real-time, organizations have the opportunity to tailor their services or products to meet changing demands and needs.
  • Operational efficiency: Organizations can streamline processes, reduce costs, increase sales, boost margins, and can respond to market changes quickly.
  • Quality assurance: A cloud data warehouse makes it easier to forecast product shortcomings or to detect early warning signs revolving around customer service issues in a fraction of the time.
  • Capitalize on trends: Companies can use data analytics (machine learning, predictive, or prescriptive) to spot industry trends and understand an industry's recent past.
  • Types of data supported: structured, semi-structured, and unstructured.
  • Instant scalability: One of the key features of a cloud data warehouse is its elastic on-demand scaling of both storage and compute resources. The reliability and flexibility of the cloud helps organizations make faster business decisions.
  • Automation: Data backups are automatic, including automated infrastructure provisioning and pre-built data source integrations. Data automation also leads to decreased development costs, minimizing the time of IT staff.
  • Total cost of ownership savings: Cloud data warehouses scale cost-effectively and thus do not require purchasing and maintaining pricey hardware.

Cloud Data Warehouse Capabilities

Enterprises around the world are taking advantage of cloud data warehouses because of their many features and core capabilities:

  • No cost of maintaining internal hardware and infrastructure
  • Improves performance issues and is cost-efficient because of the cloud’s inherent scalability
  • Supports concurrency, allowing multiple users to simultaneously query the same set of data
  • Automatic upgrades
  • Easy to contract or expand your footprint

Factors to Consider when Choosing a Cloud Data Warehouse

Because not all cloud-based data warehouses are the same, choosing the right one for your organization can be challenging. With data being one of the most important resources for companies, warehousing solutions are more crucial than ever. By evaluating both your current and future data warehouse needs, you can determine which solution would be the best fit.

  1. The nature of your data: To accommodate your company’s needs, consider the nature of your data by analyzing your usage needs, your future business plans, the tools already in place, and how a cloud data warehouse can help benefit the success of your organization.
  2. Types of data: Review the amounts of data that users will need to access and how often, along with what types of queries you will run, and at what rate new data is generated.
  3. Architecture: Just like cloud-based data warehouses differ from one another, so do their approaches to organizing architectural components. Shared-nothing architecture and shared-disk architecture are to be considered.
  4. Performance and data processing speed: Better performance means fewer expenses for companies. If concurrent querying is supported, that too speeds up performance.
  5. Usage: Assess which users will access the data warehouse, how users are affected by resource constraints when trying to access the data warehouse, and what performance levels your applications and users require.
  6. Data sharing: Consider what types of data you will share and if you plan to share it internally or with customers and/or partners outside of your organization. Determine whether consumers will have access to raw data or whether you plan to enrich data by providing data services such as analytics.
  7. Global Access: Do you require a cross-cloud architecture in order to maximize regional deployment options or to ensure global business continuity and streamline expansion?
  8. Integration: Make sure the solution you choose avoids creating data silos and integrates structured and semi-structured data that can store all in one place. Additionally, because data warehouses often integrate with other systems, it may be possible to speed up the process of migration into the cloud using your existing software.
  9. Data protection: You want a cloud data warehouse that will guard against data loss, and that will also enable easy data recovery due to errors or attacks.
  10. Deployment: Businesses need to decide whether on-premise, cloud, or hybrid deployment is best for them based on their budget and other needs.
  11. Resources: Human resources are needed to manage the data warehouse, its availability, security, and performance.
  12. Pricing: When selecting a cloud data warehouse, pricing is a major consideration for businesses and it requires a great deal of workload modeling and use cases. Consider the total cost of ownership for a conventional data warehouse vs. a cloud data warehouse. Although it varies according to the vendor’s services, calculating the costs of cloud data warehouses is usually much easier. Make sure to inquire if the vendor you choose offers a free trial before you make your final purchase.
  13. Set up a POC (Proof of Concept): After researching your different cloud data warehouse options and investigating the differences between them, it is strongly recommended to do a POC to determine whether your choice serves your needs and meets your requirements and success criteria.
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: October 2021.
542,721 professionals have used our research since 2012.