Cloud Data Warehouse Software

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DB2 is a family of relational database software solutions offered by IBM. It includes standard Db2 and Db2 Warehouse editions, either deployable on-cloud, or on-premise.

SAP Datasphere

SAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data service that enables data professionals to deliver seamless and scalable access to mission-critical business data. It provides a unified experience for data integration, data cataloging, semantic…

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SAP Datasphere

SAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data service that enables data professionals to deliver seamless and scalable access to mission-critical business data. It provides a unified experience for data integration, data cataloging, semantic…


DB2 is a family of relational database software solutions offered by IBM. It includes standard Db2 and Db2 Warehouse editions, either deployable on-cloud, or on-premise.

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.

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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…

Amazon Redshift

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

Teradata Vantage

Teradata Vantage is presented as a modern analytics cloud platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Supports hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build…

Azure Synapse Analytics

Azure Synapse Analytics is described as the former Azure SQL Data Warehouse, evolved, and as a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives users the freedom to query data using either serverless or provisioned resources,…

HCL Actian Data Platform

The HCL Actian Data Platform (formerly Actian Avalanche) hybrid cloud data warehouse is a fully managed service that aims to deliver high performance and scale across all dimensions – data volume, concurrent user, and query complexity – at a lower cost than alternative solutions.…

MySQL Heatwave

HeatWave is an in-memory query accelerator developed for Oracle MySQL Database Service. It’s a massively parallel, hybrid, columnar, query-processing engine with algorithms for distributed query processing that provide high performance for queries.


Cyral is a cloud-native Security-as-Code solution to protect the modern data layer. It allows engineering teams to observe, secure, and manage data endpoints in a cloud via a sidecar.

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…


Benchling’s cloud platform is used by pharmaceutical and biotech companies to analyze complex datasets, streamline research workflows, design DNA using CRISPR gene-editing technology and more.

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IDOVEN developed an Artificial Intelligence platform to detect heart problems at any stage and prevent heart diseases.

Faction Multi-Cloud Data Services

Faction Inc in Denver, Colorado, formerly PeakColo, offers infrastructure as a service (IaaS).

Yellowbrick Data Warehouse

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…

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Lyftrondata is an enterprise data pipeline tool designed to eliminate the time spent by engineers building data pipelines manually, making data instantly available for insights.

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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-…

Rose Technology

Rose Technology is a cloud native data platform provider.

Informatica Intelligent Data Management Cloud

Informatica Intelligent Data Management Cloud is presented as a comprehensive AI-powered data management solution in a cloud platform, presented as a cloud-native service that includes all the needed functionality for enteprise data management.

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…

Huawei Cloud Data Warehouse Service (DWS)

GaussDB(DWS), powered by Huawei’s AI-native database GaussDB, is a cloud data warehouse designed to enable rapid time-to-insight, allowing you to quickly analyze and transform petabytes of data into accurate business decisions. GaussDB(DWS) is compatible with the standard ANSI SQL…

Videos for Cloud Data Warehouse Software

What is Cloud Data Management?
A cloud-based data management system takes on the function of a traditional data management system, just modified for the requirements of the cloud. Data can be shared on a private cloud, public cloud and on-premise storages. Cloud data management benefits often mimic those of...
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Cloud Data Warehouse Software TrustMap

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Learn More About Cloud Data Warehouse Software

What is Cloud Data Warehouse Software

Cloud Data Warehouse Software uses the cloud to manage large amounts of data. In addition to providing data storage, cloud data warehouses offer version history, analysis, reporting, organization, processing, and parsing services. Cloud data warehouses support structured, semi-structured, and unstructured data, as well as metadata, data from the Internet of Things, streaming data, and big data. While products in this category operate from the cloud, many vendors offer hybrid versions with on-premise features for additional security and redundancy.

Cloud Data Warehouse Software has multiple advantages over traditional Data Warehouse Software. Since they are deployed to the cloud, cloud data warehouses do not require on-premises installation or deployment, which means that they do not require hardware knowledge or equipment updates. They also have much more scalability and processing capabilities, as they can dynamically adjust to the amount of space and power they need. For these reasons, cloud data warehouses are more cost effective and have greater longevity than on-premises solutions. However, they are susceptible to server downtime and cybersecurity threats that target clouds and server hosts.

Cloud Data Warehouse Software Features

The most common Cloud Data Warehouse Software features are:

  • Integrated data storage
  • Data integration, loading, and extraction
  • Data management
  • Dynamic data masking and encryption
  • ELT/ETL support
  • Structured, semi-structured, and unstructured data ingestion
  • Metadata management
  • Parallel processing
  • Big data ingestion
  • Streaming data ingestion
  • Data transformation
  • Fault tolerance
  • Result caching
  • Customizable indexing
  • Data analysis and reporting
  • Data visualization
  • Automated data backup
  • Granular access control
  • Instant scalability
  • Cross-database querying
  • Knowledge databases and training modules
  • Third party integrations

Cloud Data Warehouse Software Comparison

When choosing the best Cloud Data Warehouse Software for you, consider the following:

Programming language support. You’ll want to make sure that the Cloud Data Warehouse Software you choose works with your coding language, especially if you’re using the warehouse for development, testing, or IT projects. Most products in this category support widely used languages like Java, Python, R, and SQL, but consult with the vendor to make sure they can support your needs if you use a less common language.

Managed cloud data warehouses. Several vendors offer managed cloud data warehouses. In addition to managing server uptime and general maintenance, some providers can support additional data handling tasks, such as transference or cleaning. These services may also handle onboarding for new users, assist with product implementation, and post-deployment application or software support.

Data ownership rights. If you use a Cloud Data Warehouse Software product for data transformation, analysis, parsing, ingestion, or other handling tasks, you’ll need to consider data ownership rights. More specifically, you’ll want to consider who owns the data if you no longer use the cloud warehouse software. This is a two pronged consideration, as it not only includes how the software affects the data, but also the type of data it receives. If you’re using cloud data warehouses to handle sensitive medical data, for instance, you’ll want to make sure that the processes do not violate HIPAA or other data privacy laws, and that it can provide the necessary security for the protected data.

Pricing Information

Cloud Data Warehouse Software have several common pricing plans:

  • Maximum monthly per month, ranging between $5 and $122.88 per TB per month at the lowest subscription tier.
  • Hourly on-demand pricing, ranging between $0.25 and $1.20 per hour at the lowest subscription tier. This option may be best for users who only need to access cloud storage during specific hours or for the duration of a project.

Some Cloud Data Warehouse Software options offer separate billing plans for computing and storage, so consult vendors if you think this may be economical for you. Most vendors offer free trials or demos.

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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.