Published: 16 March 2018
Summary
Data management solutions for analytics are continuing to improve, with key capabilities consolidating across all vendors. Real-time data analytics have moved to their own distinct use case. Data and analytics leaders can use this research to guide evaluation for modern DMSA offerings.
Included in Full Research
- Critical Capabilities Use-Case Graphics
- Vendors
- Actian
- Alibaba Cloud (MaxCompute)
- Amazon Web Services (Amazon Redshift)
- Cloudera (Cloudera Enterprise)
- GBase (GBase 8a)
- Google (BigQuery)
- Hortonworks (Hortonworks Data Platform)
- IBM (Db2)
- MapR Technologies (Converged Data Platform)
- MarkLogic
- MemSQL
- Micro Focus (Vertica)
- Microsoft (SQL Server)
- Neo4j
- Oracle
- Pivotal (Greenplum)
- Qubole
- SAP HANA
- Snowflake
- Teradata
- Treasure Data
- Context
- Product/Service Class Definition
- Critical Capabilities Definition
- Access to Multiple Data Sources
- Administration and Management
- Advanced Analytics
- Data Ingest
- Managing Large Volumes of Data
- Optimized Performance (Traditional)
- Optimized Performance (Exploratory)
- Flexible Scalability
- Variety of Data Types
- Workload Management
- Traditional Use Support
- Exploratory Use Support
- Use Cases
- Traditional Data Warehouse
- Real-Time Data Warehouse
- Logical Data Warehouse
- Context-Independent Data Warehouse
- Vendors Added and Dropped
- Critical Capabilities Rating