Best Data Warehouse Tools for Managing Your Data | ESF – Enterprise Storage Forum

Over the last decade, the cloud has gradually absorbed the bulk of enterprise systems. So it was inevitable that data warehouses would end up in the cloud. For many organizations, it is easier to rent data warehouse services than to build their own infrastructure. 
A wide range of vendors now offer data warehouse services — areas where organizations can store a large amount of data gathered from a great many sources. These data management systems help in the areas of storage centralization, business intelligence (BI), and analytics. 
Cloud-based data warehouses hide a lot of the complexity from the user. The various elements such as databases, storage units, ELT (extraction, loading, and transformation), reporting, data mining, and analytics engines are provided to the user via a relatively simple interface in most cases. 
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Data warehouses provide many benefits: 
While some organizations are warehousing their data in-house, there are distinct advantages to housing a data warehouse in the cloud. These include greater flexibility and simplicity, they are easier to use and manage, and usually cost less. However, they may fall afoul of enterprise or governmental policy regarding governance, security, privacy, and data sovereignty. 
That said, many organizations use them as they are relatively plug and play. Someone else provides the infrastructure, takes care of management, support, maintenance, upgrades and more. All for one monthly cost. 
Also read: 10 Use Cases for Data Warehouses
Enterprise Storage Forum reviewed many different data warehouse providers. Here are our picks for top cloud-based data warehouses. Note that some of these providers also accommodate on-premises data warehouses. However, they focus on the cloud, sometimes exclusively.  
The Cloudera’s CDP Data Hub offers a way to easily ingest, route, manage, and deliver data-at-rest and data-in-motion from the edge, any cloud, or data center to any downstream system with built-in security. Running on the Cloudera Data Platform (CDP), the data hub secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds.
Key Differentiators 
Oracle Data Warehouse in the Cloud can handle many types of data and support many types of analytic systems. It can be used on its own or as a complement and extension of traditional data warehouse installations. As well as storing data in relational databases, it can also store data from many different sources including web pages, social media feeds, search indexes, and equipment sensors. 
Key Differentiators 
IBM Db2 Warehouse on Cloud is a fully managed, elastic cloud data warehouse that delivers independent scaling of storage and compute. Its dashboard makes it easier to see and manage data.  A columnar data store, actionable compression, and in-memory processing facilitate analytics and machine learning workloads.
Key Differentiators
Microsoft Azure Synapse Analytics brings together data integration, enterprise data warehousing, and big data analytics on one platform. It helps to unify ingestion, preparation, management, querying, and analytics in support of BI needs. 
Key Differentiators
SAP Data Warehouse Cloud unifies data and analytics in a multi-cloud solution that includes data integration, database, data warehouse, and analytics capabilities. Built on the SAP HANA Cloud database, this software-as-a-service (SaaS) provides in-memory capabilities for querying and analysis.  
Key Differentiators
Amazon Redshift is a fast, simple, cost-effective data warehousing service. It combines a high-performance data warehouse with the flexibility and scalability of a data lake to gain new insights from data. With Redshift, you can query and combine exabytes of structured and semi-structured data across the data warehouse, operational databases, and data lake using standard SQL. 
Key Differentiators
Apache Hive is database/data warehouse software that supports data querying and analysis of large datasets stored in the Hadoop distributed file system (HDFS) and compatible systems such as Apache HBase. It is distributed under an open source license.
Key Differentiators
BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data. This serverless data warehousing solution from Google does all resource provisioning behind the scenes, enabling users to focus on data and analysis. 
Read next: Top Big Data Tools & Software 2021
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