Data Warehouse: Which solution is best?

IT Central Station users review the highest reviewed solutions in the Data Warehouse market.


Data warehouse platforms are an established part of the enterprise technology stable and a go-to solution for managing data at scale within an organisation. But recently, features are emerging that transform data warehouses from serving their more traditional technology role of the past into the modern, flexible, cloud-based big data platforms they are today. With this rapid change, it can be difficult for organisations to choose the right solution to meet their specific needs.

Over 388,000 professionals have used IT Central Station research to inform their purchasing decisions. Their latest paper looks at the highest rated data warehouse vendors, profiling each and examining what they can offer enterprise.

Here’s a breakdown of the key players currently active in the market:

Apache Hadoop

Average Rating: 7.5

Top Comparison: VMware Tanzu Greenplum

Overview: A framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models.

IBM Netezza Performance Server

Average Rating: 10

Top Comparison: Oracle Exadata

Overview: Provides expert integrated systems with built in expertise, integration by design, and a simplified user experience.

Microsoft Parallel Data Warehouse

Average Rating: 7.6

Top Comparison: Oracle Exadata

Overview: Integrates traditional data warehouses with non-relational data and whilst handling data of all sizes and types, with real-time performance.

Oracle Database Appliance

Average Rating:  8.1

Top Comparison: Oracle Exadata

Overview: Saves time and money by simplifying deployment, maintenance, and support of database solutions for organisations of every size.

Oracle Exadata

Average Rating: 8.8

Top Comparison: Teradata

Overview: Runs all types of databases, including online transaction systems, processors, and data warehouses, while solving poor performances of old database architecture.


Average Rating: 7.9

Top Comparison: Microsoft Azure Synapse Analytics

Overview: Helps businesses capitalize on the full value of all their data from SAP applications or third-party solutions, as well as unstructured, geospatial, or Hadoop-based.


Average Rating: 8.4

Top Comparison: Microsoft Azure Synapse Analytics

Overview: Provides a data warehouse built for the cloud, delivering a solution capable of solving problems for which legacy, on-premises, and cloud data platforms were not designed.


Average Rating: 8.2

Top Comparison: Oracle Exadata

Overview: Teradata's portfolio of big data analytic solutions, integrated marketing applications, and services help organisations gain a sustainable competitive advantage with data.


Average Rating: 9.4

Top Comparison: Oracle Exadata

Overview: The most advanced SQL database analytics portfolio built from the very first line of code to address the most demanding big data analytics initiatives.

VMware Tanzu Greenplum

Average Rating: 8.3

Top Comparison: Apache Hadoop

Overview:  Addresses workloads across a spectrum of analytic and operational contexts, from traditional business intelligence to deep learning.

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