In 2023, enterprises have a variety of cloud solutions to choose from, including many different cloud data warehouse options. Sorting through all the various options can be overwhelming and time-consuming, but there are some quality platforms that business leaders should keep in mind.
In this article, we’ll cover some of the top cloud data warehouse platforms to watch in 2023 along with some methods for choosing the best option for your business.
What is a Cloud Data Warehouse Platform?
A data warehouse is where companies can aggregate data from disparate sources and store that data for analysis. It’s a convenient home for your raw data. As you collect data, that raw data feeds into a data warehouse. From there, you can later query the data and run an analysis to search for insights. There are two main types of data warehouses: on-premise data warehouses and cloud data warehouses.
Cloud data warehouse platforms, as the name suggests, exist entirely in the cloud, unlike on-premise data warehouse solutions. You don’t need additional physical hardware to implement cloud data warehouses, just a reliable cloud services provider.
One of the benefits of choosing a cloud data warehouse over an on-premises solution is that it’s more flexible. If your business grows and your data warehousing needs increase (or the reverse), it’s easy to scale your cloud data warehouse services up or down to meet those new needs. Cloud data warehouses also tend to be easier and less expensive to implement, at least upfront, compared to on-premise data warehouses.
Top Cloud Data Warehouse Platforms
Demand for cloud data warehouses has grown significantly in recent years and that strong growth is projected to continue for years to come. Among the many cloud service providers in this growing market are some high-quality options. If your business is looking to transition to cloud data warehousing, these are some of the top options you should consider:
Amazon’s cloud data warehousing product, Amazon Redshift, is an ideal solution for companies that need big data warehousing. Some of the companies currently using Amazon Redshift include Amazon.com (unsurprisingly), but also Yelp, Pfizer, McDonald’s, and FOX Corporation. This cloud solution enables SQL-querying of incredibly large amounts of digital data, whether it’s unstructured, semi-structured, or structured.
Microsoft Azure SQL Database
The Azure SQL Database from Microsoft is a strong option for businesses looking for a midsize data warehouse. You can choose from three deployment options: managed instance, single database, and elastic pool. If you have many active users and only need to store up to 8 TB, Azure SQL Database might be the right choice.
Alongside Amazon Redshift, Google BigQuery is one of the biggest leaders in the cloud data warehousing market. You can store a massive volume of data in Google BigQuery at cost-effective prices if you’re querying infrequently. BigQuery does, however, charge separately per query according to the amount of data processed which can increase your costs.
How to Choose a Cloud Data Warehouse Platform
When you’re deciding between several cloud data warehouse platform options, there are several factors you should keep in mind. Some of the most important things to consider include:
Like other business solutions, cloud data warehouse platforms can range in price significantly. As you’re looking at your data warehousing options, pay close attention to the prices each provider charges. Many providers offer several pricing options, and it may take some calculations to figure out approximately how much you’d need to spend on different solutions.
Try to gauge how much each solution will cost your business. While you don’t necessarily want to choose the cheapest option, the cost is still an important factor to consider. Part of the appeal of cloud data warehousing compared to on-premise data warehousing is the cost savings, so you need a clear idea of your costs with each provider.
Types of Data
You also have to consider what type of data you’re interested in storing in your data warehouse. A cloud data warehouse won’t be very useful to your business if it’s incompatible with the types of data you collect. Make sure to check that the warehouses you’re considering will work with the types of data you want to store.
Cloud data solutions can vary in terms of performance — how fast they can run your queries, including in times of high demand. If you’re interested in running real-time analytics, you will need a cloud data solution with a high performance level. For other businesses, a slight lag time may be acceptable. You’ll have to consider how important performance level is to your business and choose accordingly.
Even with a very strong cloud data warehousing solution, you may still need help occasionally. When that happens, you want to know that your cloud services provider offers quality support to address any issues you have with the platform.
Take the time to check out the support options each provider offers. Read reviews to see what previous customers think of the level of support they received. Customer support probably won’t be the most important factor in your decision between cloud data warehouses, but it’s still important to investigate.
Get More Out of Your Data with Cloud Solutions
Business leaders today recognize the power of data, but many still struggle to get the most out of the data they collect. Cloud data solutions, including cloud data warehouse platforms, can make the process much easier for enterprises. The trick is finding the best cloud solutions for your company’s needs.
If you’re looking for a comprehensive cloud data solution, Live Earth could be just what you need. Live Earth is a cloud-based data streaming and operational analytics platform made to help enterprises transform their businesses with data. The platform aggregates vast amounts of data with unmatched speed and allows for real-time analysis. Making evidence-based decisions informed by the most recent data has never been easier. See the power of Live Earth for yourself with a free custom demo.