Data Warehouse: Which solution is best?
IT Central Station users review the highest reviewed solutions in the Data Warehouse market.
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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.
SAP BW4HANA
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.
Snowflake
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.
Teradata
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.
Vertica
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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