Cloud Data Warehouse Software

Best Cloud Data Warehouse Software include:

Amazon Redshift.

Cloud Data Warehouse Software Overview

What Are Cloud Data Warehouses?

A cloud data warehouse is similar to a traditional data warehouse, except that it is hosted on the cloud. In addition to typical benefits of data warehouses, which are used for analytics, and storage, cloud data warehouses are highly scalable and accessible, so analysts can efficiently perform analytics from a variety of sources simultaneously. Once they are implemented, cloud data warehouses also boast excellent usability. They update automatically, and it’s simple to expand capacity as a business's storage needs increase.

Cloud Data Warehouse Features & Capabilities

Below are some of the most common features included in cloud data warehouse solutions.

  • Automatic upgrades

  • Flexible scaling

  • Data analytics

  • Data storage

  • Data management

Cloud Data Warehouse Pricing

Cloud data warehouses are typically priced by the hour based on usage and performance needs. Organizations that purchase from a vendor following this pricing model can expect to pay at least $0.20 per hour, or more if they have high capacity or performance needs. Many vendors also offer free trials, which are usually either limited based on time, based on storage capacity. Another option is to pay by the query, which means you are only paying for what you use, but budgeting can be difficult since it depends on how users manage the warehouse.

Cloud Data Warehouse Products

(1-8 of 8) Sorted by Most Reviews

Amazon Redshift

Amazon Redshift is a hosted data warehouse solution, from Amazon Web Services.


The Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely…

Google BigQuery

Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.


DB2 is a relational database software solution offered by IBM.

Cloudera Data Platform

Cloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies to deliver an enterprise data cloud. CDP includes the Cloudera Data Warehouse and machine learning services as well as a Data Hub service for building custom…

Alkira Network Cloud

Alkira Network Cloud is a multi-cloud network solution with integrated services, visibility and governance. Alkira's service is hosted in multiple data centers to provide redundancy, and the data centers and virtual exchange points are in geographically distributed regions and deployed…


Yugabyte is an open-source distributed SQL database for customers in industries such as cybersecurity, financial markets, and IoT. It is built using a unique combination of the high-performance document store, auto sharding, per-shard distributed consensus replication, and multi-…

Yellowbrick Data

Yellowbrick Data is a distributed data warehousing cloud, a mesh of interconnected resources (private data centers, public clouds, and edge networks) that are managed in a unified way. Yellowbrick Data helps enterprises provision and manage their data warehouses and delivers the…

Frequently Asked Questions

When is a cloud data warehouse more appropriate than a traditional data warehouse?

Cloud data warehouses have a few key advantages over traditional data warehouses. Namely, cloud data warehouses offer ease of use in terms of scalability and automatic upgrades. For businesses with storage needs that rarely change, and who can handle upgrades internally, a traditional data warehouse can be a more affordable solution.

Which pricing structure is preferable, always-on, or by the query?

Paying hourly for your cloud data warehouse may be preferred if you need to run queries fairly regularly, as that could run up a large bill on an on-demand pricing plan. If your querying needs are more inconsistent, the ability to only pay for queries when you need them will be ideal.

How does the expanding capacity for cloud data warehouses work?

Businesses using cloud data warehouses are generally able to scale capacity up and down as needed. While the process varies from vendor to vendor, it is usually handled in one of two ways. First, it can be automated, so as users store more data or run more demanding queries, their storage capacity will adjust on its own, this is convenient but can result in unexpected fees for organizations that aren’t paying close attention. For other cloud data warehouses, capacity can be easily increased through a web-based portal.