Magic Quadrant for Data Warehouse Database
Management Systems
Gartner RAS Core Research Note G00163473, Donald Feinberg, Mark A. Beyer, 23 December 2008, R2964 12302009
The data warehouse DBMS market is expanding at a record pace with new vendors, new offerings and high growth. We discuss this, the growth of appliance offerings and how data warehouse DBMS software-only vendors are responding with enhanced functionality and low-cost, market-entry solutions.
WHAT YOU NEED TO KNOW
The data warehouse is a mission-critical system, with data warehouses serving in an
increasingly mixed workload capacity, including as a data source for online applications. “Deep mining” analysts and business analysts are running less-structured but equally complex queries and fast-running tactical queries, each with differing service-level expectations. These differing workloads are all competing for CPU, memory and disk access. At the same time, data latency continues to progress from batch to continuous loading demands.
The market has evolved in 2008 in a number of ways. Although this is a mature market with the full attention of large vendors seeking to make inroads with scale and innovation, smaller entrants often deliver a more focused, innovative solution. The latest wave of data warehouse adoption includes less mature organizations with little or no data warehouse management experience. Many of these organizations provide a new opportunity for mart-style deployments. IBM, Oracle and HP have all responded by deploying an appliance solution of some type.
End-user organizations should ignore marketing claims and instead base decisions on customer references and proofs of concept (POCs) to ensure that claims made by vendors will hold true in a real-life environment – more specifically,... [continues]
Management Systems
Gartner RAS Core Research Note G00163473, Donald Feinberg, Mark A. Beyer, 23 December 2008, R2964 12302009
The data warehouse DBMS market is expanding at a record pace with new vendors, new offerings and high growth. We discuss this, the growth of appliance offerings and how data warehouse DBMS software-only vendors are responding with enhanced functionality and low-cost, market-entry solutions.
WHAT YOU NEED TO KNOW
The data warehouse is a mission-critical system, with data warehouses serving in an
increasingly mixed workload capacity, including as a data source for online applications. “Deep mining” analysts and business analysts are running less-structured but equally complex queries and fast-running tactical queries, each with differing service-level expectations. These differing workloads are all competing for CPU, memory and disk access. At the same time, data latency continues to progress from batch to continuous loading demands.
The market has evolved in 2008 in a number of ways. Although this is a mature market with the full attention of large vendors seeking to make inroads with scale and innovation, smaller entrants often deliver a more focused, innovative solution. The latest wave of data warehouse adoption includes less mature organizations with little or no data warehouse management experience. Many of these organizations provide a new opportunity for mart-style deployments. IBM, Oracle and HP have all responded by deploying an appliance solution of some type.
End-user organizations should ignore marketing claims and instead base decisions on customer references and proofs of concept (POCs) to ensure that claims made by vendors will hold true in a real-life environment – more specifically,... [continues]
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