Leading Cloud Data Warehouse Comparison for 2023: Top-Performing Options Unveiled
In today's business landscape, having a solid data strategy is indispensable for making data-driven decisions that propel your organization forward. Barring the use of crystal balls, the next best alternative is a top-notch cloud data warehouse (CDW). Here, we'll compare the big guns in the field - tower up Snowflake, Amazon Redshift, and Google BigQuery, alongside a few others like Azure, YellowBrick Data, SAP Data Warehouse Cloud, Teradata, YellowBrick Data, Panoply, and Oracle Cloud Data Warehouse (ADW).
What is a CDW?
A CDW is the swanky central headquarters for all the data an organization gathers, processes, and analyzes. Its key features include storage capacity for various data types and customizable analytics or visualizations based on the gathered data.
CDW vs On-premise Platforms
On-premise CDW are still a popular choice for many businesses for the sake of keeping data in-house, shielding it from external threats, and integrating new tools as they come out. However, cloud-based CDW are quite the convenient alternative, offering scalability across a broader range of resources and cost-effectiveness.
Moreover, studies have shown that cloud CDW have a staggering 99.99% data availability at any given moment, increasing their appeal for today's businesses.
Top CDWs for 2023
Snowflake Cloud Data Warehouse
Snowflake offers a managed CDW as SaaS or DaaS, enabling businesses to tap into computing resources from several cloud providers sans impacting warehouse performance.
Key Features:- Real-time, accessible data to share across teams without copying/moving data- Wide compatibility with third-party solutions such as Tableau, using ODBC, JDBC,.NET, PHP, and Node.js drivers- Time Travel feature for restoring deleted data
Cost:The cost is determined by how much data is stored and compute time. Charges start at $2.00 per credit.
Ease of Use:Snowflake boasts an intuitive user interface and a straightforward process of setting up compute clusters of varying sizes and auto-scaling.
Amazon Redshift
As a fully managed data warehouse service from AWS, Redshift supports hefty data warehousing and analytics tasks, offering admirable performance during cloud migration.
Key Features:- Limitless concurrency- Flexible querying of data with SQL (including big data)- Scalability to accommodate big data workloads
Cost:Starts at $0.25 per hour and scales depending on data volume and concurrent users.
Google Cloud Data Warehouse (BigQuery Data Warehouse)
Google's cloud data warehouse solution provides an efficient in-memory data analysis engine, robust streaming ingestion for real-time data consumption, and integrated machine learning capabilities.
Key Features:- Apache Big Data ecosystem integration- Data analysis across multiple cloud platforms- In-memory analysis for swift analytics
Cost:General charges start at $0.02 per GB of stored data, with free streaming ingestion up to 5+ TB per month.
Microsoft Azure Cloud Data Warehouse (Azure Synapse)
Azure Synapse is a unified analytics solution combines big data analytics, business data warehousing, serverless or provisioned resources.
Key Features:- Always-on encryption- Azure Active Directory authentication- Hybrid multi-cloud environment support
Cost:Costs range from $1.20/hour (DW100c) to $360/hour (DW30000c) for on-demand, with as much as 65% savings offered by reserved instances (in a 3-year term).
IBM
Data-driven enterprises rely on IBM Db2 Warehouse on Cloud for fully managed elastic cloud data warehousing, throughout which users benefit from efficient columnar data stores, adaptive compression, and in-memory processing.
Key Features:- Increased speed in data analysis and querying- Support for multiple sources, including Oracle and non-SAP- Flexibility in data modeling
SAP Data Warehouse Cloud
SAP combines data and analytics through a multi-cloud solution compatible with data integration, database, data warehouse, and advanced analytics.
Key Features:- Personalized space management- Simple integration with cloud and on-premise systems- Built-in support for popular SQL tools and BI clients
Teradata
Teradata Vantage aggregates business data from multiple sources, offering reinforced data reliability for archive and disaster recovery requirements.
Key Features:- Advanced analytics and machine learning- Adaptable to varying cloud platforms- Scalable ability to run big data workloads
Yellowbrick Data
Yellowbrick positions itself as an agile, hybrid CDW platform that delivers simplicity and reliability critical for driving business growth.
Key Features:- On-premises or cloud availability- High performance for complex queries at petabyte scale- Backup and disaster recovery capabilities
Panoply
Panoply offers a cloud-based data management platform that streamlines data warehousing and AI-powered data processing for simple data analysis and visualization.
Key Features:- Automated data management- User-friendly interface- Integrated with 200+ data sources
Oracle Cloud Data Warehouse (ADW)
Oracle's Autonomous Data Warehouse (ADW) offers extensive automation in managing functions such as data security, administration, provisioning, scalability, and backups.
Key Features:- Robust support for SQL and APEX tools- Seamless data integration for hybrid multi-cloud environments- Scalability to accommodate thousands of concurrent users and queries
Now that you have a better understanding of the available CDWs, you can make an educated decision for your enterprise. Need help choosing the perfect fit for your business? Swing by our website, and we'll assist in determining the solution that aligns with your unique needs, guide you through deployment and training, and ensure everything keeps ticking along smoothly.
- The cloud data warehouse (CDW) acts as the central hub for all data an organization collects, processes, and analyzes, featuring storage capacity for various data types and customizable analytics or visualizations based on the gathered data.
- In the business landscape, cloud CDWs have a staggering 99.99% data availability at any given moment, making them increasingly attractive for organizations seeking data-driven decision-making.
- Snowflake, a notable CDW, offers a managed service as SaaS or DaaS, enabling businesses to access computing resources from multiple cloud providers without affecting warehouse performance.
- Machine learning capabilities are integrated into Google Cloud Data Warehouse (BigQuery Data Warehouse), providing an efficient in-memory data analysis engine, robust streaming ingestion for real-time data consumption, and seamless data analysis across multiple cloud platforms.
- Oracle Cloud Data Warehouse (ADW) provides extensive automation in managing functions such as data security, administration, provisioning, scalability, and backups, offering a robust solution for businesses with varying cloud and on-premise data integration needs.
