Top 8 Cloud Data Warehouse Tools
SnowflakeMicrosoft Azure Synapse AnalyticsAzure Data FactoryAmazon RedshiftVerticaSAP Business WarehouseOracle Autonomous Data WarehouseAmazon EMR
I like Snowflake's data exchange capabilities. It can exchange data with downstream systems and other vendor partners as well.
This is the advanced version of the cloud version, so it's really a flexible tool. If you have it implemented at home, you can access it from anywhere.
Synapse Analytics' best features are notebooks, pipelines, and monitoring.
One central workspace to manage everything for your data warehouse including visualization.
Data Factory's most valuable feature is Copy Activity.
The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted.
It's scalable because it's on the cloud.
Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.
The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good.
The hardware usage and speed has been the most valuable feature of this solution. It is very fast and has saved us a lot of money.
What I like most about SAP Business Warehouse is that it's a seamless integration platform. A valuable feature in the tool is the monitoring alert that makes you aware of what process chain has failed. There's no manual monitoring required if you have configured an alert system, so the process chain can run in the background, and you can get alerts about it. The functionalities I find good in SAP Business Warehouse are alerting and monitoring. If you have configured the tool and have integrated it with SAP Solution Manager, then it's a good product to use.
The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle.
The performance and scalability are awesome.
The solution is pretty simple to set up.
We are using applications, such as Splunk, Livy, Hadoop, and Spark. We are using all of these applications in Amazon EMR and they're helping us a lot.
Cloud Data Warehouse Topics
What are the Benefits of Cloud Data Warehousing?Cloud Data Warehouse CapabilitiesFactors to Consider when Choosing a Cloud Data Warehouse
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.
- 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.
- 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.
- 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.
- Performance and data processing speed: Better performance means fewer expenses for companies. If concurrent querying is supported, that too speeds up performance.
- 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.
- 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.
- 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?
- 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.
- 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.
- Deployment: Businesses need to decide whether on-premise, cloud, or hybrid deployment is best for them based on their budget and other needs.
- Resources: Human resources are needed to manage the data warehouse, its availability, security, and performance.
- 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.
- 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.