Top Cloud Data Warehouse solutions

06 May 2022

What is a Data warehouse?

It’s a tool that stores your organization’s historical and predictive data so that you can make better business decisions. It’s a system that helps you see patterns and connections in your data so that you can make informed decisions. A cloud data warehouse is an important part of any data-driven business, and it is critical for any organization that wants to achieve its data-driven goals.

Enterprises must take into account a number of factors when choosing a cloud-based data warehouse solution. The degree of flexibility offered by the solution comes first and foremost. Most solutions are built to work with hardware and data that are already present on-site. On the other hand, some solutions are made to work with both on-premises and cloud-based infrastructure.

As the Internet and digital services continue to grow, so does the demand for data warehouses to help companies better understand their customers and supply chain operations. Today, the best cloud data warehouse solutions can help companies better manage their data, provide faster insights, and make better business decisions. That’s why we’ve rounded up the best solutions to consider in 2022. They range from tried and tested products like Amazon Redshift and Google Big Query to some newer entrants like Oracle Cloud Data Warehouse and Microsoft Azure Data Lake.

1) Microsoft Azure Synapse

Microsoft Azure Synapse is a managed service offered by Microsoft. It is a fully managed service, which means that you don’t have to worry about managing the infrastructure or operating your data warehouse, which saves you time and money. You can also use it alongside your existing on-premise infrastructure, which means that you can start small and scale up as your business grows. Microsoft Azure Synapse is a perfect fit for businesses that need a fully managed service with the flexibility to use it alongside their existing on-premise infrastructure.

2) Amazon RedShift

Amazon Redshift is a fully managed, petabyte-scale data warehouse service from Amazon Web Services. It is a fully managed service, which means that you don’t have to worry about managing the infrastructure or operating your data warehouse, which saves you time and money. You can also use it alongside your existing on-premise infrastructure, which means that you can start small and scale up as your business grows.

Redshift is ideal for small and medium-sized enterprises (SMBs) who are just getting started and require a straightforward and affordable solution without having to worry about managing the infrastructure or running the data warehouse.

3) Google Big Query

Google Big Query is a fully managed cloud data analysis service offered by Google. It is a flexible data platform that allows you to quickly analyze large volumes of data using a wide range of Google’s advanced computing technologies, which saves you time and money. You can also use it alongside your existing on-premise infrastructure, which means that you can start small and scale up as your business grows. Google Big Query is a perfect fit for businesses that need a flexible data platform that can be used alongside their existing on-premise infrastructure. It is a popular alternative to Amazon Redshift, which is likely because it is cheaper.

4) Snowflake Data Warehouse

A professional managed service, Snowflake is provided by Snowflake Labs. It is a cloud data warehouse solution that enables you to create and manage sizable data warehouses fast and efficiently for the storage of your company’s data. Since Snowflake can be used in conjunction with your current on-premise infrastructure, you may start small and scale up as your company expands. Snowflake is a popular alternative to Amazon Redshift, which is likely because it is cheaper.

5) Panoply

Panoply is a managed data warehouse platform that allows businesses to store, manage, analyze, and visualize data from any source and in any format. With Panoply, you can easily build data-driven applications that empower your employees to make better decisions, solve complex problems, and deliver impactful results. Built on the cloud, our platform is built for scale, so you can reduce the costs and complexity of managing large data sets, and focus on your core business.

6) SAP Data Warehouse Cloud

SAP has been a leader in providing data warehousing services for over three decades. With the launch of their SAP HANA Cloud Data Warehouse solution, they have now taken the next step in their journey to provide the industry’s most comprehensive suite of data warehousing services. The SAP Data Warehouse Cloud provides on-demand, pay-per-use access to data stored in the SAP HANA Cloud. It can be used by a single user or a small team or shared among a team for collaborative processing and reporting.

7) Yellowbrick Data

Yellowbrick Data is a platform as a service (PaaS) that provides the infrastructure and software you need to build, store, and process data. You deploy your applications on our secure, scalable infrastructure, and access our industry-leading data tools to build powerful analytics applications. With our simple, intuitive user interface, you can focus on building your next great idea rather than spending hours configuring infrastructure and data connections. We’ll take care of the details so you can go beyond traditional data warehousing.

8) Oracle Autonomous Data Warehouse

The Oracle Autonomous Data Warehouse promises to deliver the scale, speed, and cost efficiency of the cloud without sacrificing control, security, and compliance. It does this by seamlessly integrating the best of on-premise and cloud data warehouse technologies. The result is an architecture that is as agile as it is secure, as flexible as it is scalable, and as easy to manage as it is to connect and use.

9) Cloudera Data Warehouse

Cloudera Data Warehouse is a cloud-based data warehousing platform that provides a unified SQL and machine learning platform to store and analyze large amounts of data. It uses the Apache Hadoop ecosystem, which provides distributed storage and processing capabilities, to enable high performance and scalability. Cloudera Data Warehouse integrates with a wide range of popular tools and platforms, such as Apache Spark, Apache Kafka, and Tableau, and offers comprehensive security and governance features to help organizations ensure their data is protected. The platform is designed to handle a variety of data types, from structured data like SQL tables to unstructured data like machine-generated logs, and can be easily scaled up or down depending on an organization’s needs.

10) Teradata Vantage

Teradata Vantage is a cloud-based data warehousing and analytics platform that offers advanced analytics, data integration, and business intelligence capabilities. It uses a massively parallel processing (MPP) architecture to enable fast query performance, which allows organizations to easily analyze and gain insights from their data. Teradata Vantage supports a wide range of data sources, including structured and unstructured data, and offers comprehensive security and governance features to help organizations ensure their data is protected. The platform is designed to scale easily and can be deployed on public, private, or hybrid cloud environments. With Teradata Vantage, organizations can easily integrate and analyze data from various sources, perform advanced analytics using SQL and machine learning capabilities, and generate actionable insights that help drive better business decisions.

Conclusion:

The cloud has changed how data warehousing is done. It has also changed the way people think about data warehousing. Traditional data warehousing solutions were costly, complex to set up, and hard to scale. Meanwhile, the cloud has brought data warehousing to the masses.

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