Published: 18 March 2019
Summary
Data management solutions for analytics offerings are consolidating, with major vendors able to address a range of use cases and smaller vendors addressing a subset of use cases. Data and analytics leaders can use this research to guide evaluation and initial vendor selection for DMSA offerings.
Included in Full Research
- Market Trends
- The Product
- Critical Capabilities Research
- Critical Capabilities Use-Case Graphics
- Vendors
- Alibaba Cloud (MaxCompute)
- Amazon Web Services (Amazon Redshift)
- Arm Treasure Data
- Cloudera (Cloudera Enterprise)
- GBase (GBase 8a)
- Google (BigQuery)
- Hortonworks (Hortonworks Data Platform)
- Huawei (FusionInsight Big Data)
- IBM (Db2)
- MapR Technologies (MapR Data Platform)
- MarkLogic
- Micro Focus (Vertica)
- Microsoft (Azure SQL Data Warehouse)
- Neo4j
- Oracle (Oracle Exadata)
- Pivotal (Pivotal Greenplum)
- SAP (SAP HANA)
- Snowflake
- Teradata
- Context
- Overall Performance
- Reference Customer Survey
- 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
- Use Support (Traditional)
- Use Support (Exploratory)
- Use Cases
- Traditional Data Warehouse
- Real-Time Data Warehouse
- Logical Data Warehouse
- Context-Independent Data Warehouse
- Vendors Added and Dropped
- Critical Capabilities Rating