Top 10 Cloud Data Warehouse Solution Providers

In an era where data is the most valuable resource any business has, warehousing solutions are more crucial than ever. A data warehouse is a critical database for supporting data analysis and acting as a conduit between analytical tools and operational data stores. 

Data warehousing solutions often include a range of useful features for data management and consolidation. You can use them to extract and curate data from a range of environments, transform data and remove duplications, and ensure consistency in your analytics. Some data warehouse even come with things like machine learning algorithms and AI built-in.

When delivered through the cloud, warehouse solutions are even more flexible. Like other as-as-a-service environment, business leaders can add and remove features to suit the changing needs of their company. 

The question is, which cloud data warehousing services are best?

10. Panoply

Panoply is an ETL-less and easy-to-access data management and warehousing system. Built exclusively for the cloud, Panoply delivers integrated visualisation features and a range of storage optimisation algorithms to help businesses thrive. You can also sync and store data from Panoply from over 80 different sources, and explore your data using SQL.

Panoply works seamlessly with a wide selection of other business intelligence and analytics tools too, including Salesforce and HubSpot. This makes it easier for businesses of all sizes to unlock the power of better data-focused decisions.

9. Teradata Integrated Data Warehouse

Teradata is a market leader in the world of data management and warehousing. For over 35 years, the company has helped businesses develop and maintain a competitive edge. Teradata also has one of the world’s most powerful database environments. Because of this, the company can serve some of the biggest and most competitive organisations in the world. 

Teradata offers an integrated 360-degree insight into your data, pulled together from a range of sources. There’s also access to the Teradata QueryGrid for actionable big data insights too. What’s more, you can deploy Teradata on IntelliCloud (from Teradata), on-premise or on public, private, or hybrid cloud infrastructure.

8. Yellowbrick Data

Yellowbrick takes a unique approach to cloud data warehousing solutions by offering access to data solutions for the hybrid cloud. On a mission to make data warehousing and analytics simpler for every business, Yellowbrick delivers a turnkey appliance for optimised analytics.

Enterprises in the Yellowbrick environment can run any ad hoc queries they like, alongside large batch queries and business reports too. There’s also Yellowbrick assisted support available for businesses too. This provides 24/7 predictive monitoring, ensuring the continued health and availability of the warehouse.

7. SAP Data Warehouse Cloud

SAP is a popular name in the world of business analytics and data development. The SAP data warehouse cloud is perfect for businesses that want to make more intelligent business decisions. This enterprise-ready data warehouse combines all of your unique data sources into a single environment, allowing you to enhance the security and credibility of your information.

SAP’s data warehousing semantic layer also helps to make analytics easier for users with persona-driven and analytical warehouse information. There’s even instant access to application data thanks to prebuilt adapters from IBM. Better still, SAP data warehousing is elastic, flexible, scalable, and open, making it a good choice for businesses of all sizes.

6. Oracle Autonomous Warehouse

The Oracle Autonomous Data Warehouse solution offers businesses an easy-to-use and accessible system that scales with their operations. Intended to provide fast and elastic query performance with no need for endless administration, Oracle is a great choice for beginners and existing Oracle fans alike. For a fully managed cloud service that makes provisioning a data warehouse easy, look no further than the quick performance of this offering. 

What’s more, Oracle’s autonomous data warehouse is highly elastic, allowing companies to expand and update their computing and storage capacities as their businesses change. You only need to pay for the resources that you consume, and everything integrates with a spectrum of business analytical and IoT tools.

5. Microsoft Azure Synapse

Microsoft Azure Synapse is the evolved and updated version of Microsoft Azure SQL Data warehousing. Synapse is a state-of-the-art analytics solution that combines enterprise data warehousing with the latest in big data analytics. With Microsoft’s technology, you can easily query data according to your individual needs. There’s access to both provisioned and serverless on-demand resources too. 

What’s more, Synapse enables you to unlock the power of machine learning and business intelligence solutions as part of your full data framework. Microsoft also has some of the industry’s most advanced security and privacy features for warehousing in its arsenal. 

4. IBM Db2 Warehouse

The IBM Db2 Warehouse is a fantastic relational database solution that delivers high-quality analytics and data management solutions to businesses worldwide. The operational database thrives on delivering actionable insights and data availability to companies that need it most. There’s also support for a selection of operating systems.

Db2 from IBM also integrates with the in-memory columnar database engine from IBM. This is a huge benefit for companies in need of a high-performance database solution. Business leaders can initiate a cloud deployment using either AWS or the IBM cloud. There’s also an on-premise version of the Db2 warehouse available.

3. Google BigQuery

Google BigQuery is a component of the Google cloud platform environment. This highly scalable and serverless cloud data warehouse is ideal for companies that want to keep costs low. If you need a quick way to make informed decisions through data analysis, BigQuery has you covered. 

BigQuery sets itself apart by its accessibility. In particular, querying data with SQL and Open Database Connectivity is easy with this offering. Additionally, you can efficiently run your analytics environments with a three-year TCO that’s up to 34% cheaper than other cloud data warehouse alternatives. Integration with machine learning tools from Google is another key differentiator if you’re interested in stepping into the artificial intelligence environment. 

2. Snowflake

Snowflake is a leading data warehousing solution that offers a variety of choices for public cloud technology. With Snowflake, you can make your business more data-driven, enabling you to create amazing customer experiences in turn. Unlike other data warehousing services, Snowflake also comes with per-second pricing.

The convenient pricing structure of Snowflake’s technology means that you only pay for what you use. Snowflake’s reliable architecture simplifies and improves the data pipeline, while reducing unnecessary complexity. You also get self-service access to all the extra functionality that you need.

1. Amazon Redshift

Amazon Redshift is one of the most popular data warehousing solutions on the market today. The service powers the analytical initiatives of countless leading businesses, including startups and Fortune 500 companies alike. Some of the biggest brands using Redshift today include Intuit, Lyft, Yelp, and even McDonald’s. 

One of the best things about Redshift is that it integrates perfectly with your data lake and AWS environment. Redshift allows developers and business leaders to query vast amounts of semi-structured and structured data from a host of settings. What’s more, Redshift’s performance benefits from Amazon’s incredible AWS infrastructure, so you know you’re going to get a great user experience. For data outside of your S3 data lake, you can use AWS Glue to extract, transform, and load data into the warehouse too.

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