Published:18 August 2022
Summary
Data integration tools address a wide range of use cases that rely on key data delivery capabilities. This research helps data and analytics leaders identify vendors’ relative strengths across these capabilities and select the right tool in support of their integration needs.
Included in Full Research
Overview
Key Findings
Data movement topology and complex data transformation are thehighest-scoring criticalcapabilities in this evaluation. However, support for specializeddata delivery stylessuch as data virtualization and stream data integration areless consistently deliveredacross the range of products evaluated.
FinOpssupport and data governance support are the lowest-scoring critical capabilities in this evaluation. Products with these capabilities can make a huge impact insolving integration complexitieslike multicloud/intercloud in the coming years.
Metadata capabilities (such as integration with external catalogs) within data integration tools are on the rise. Data integration products with a native data catalog or high support
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Strategic Planning Assumptions
- 亚马逊网络服务
- CloverDX
- Denodo
- Fivetran
- Hitachi Vantara
- IBM
- Informatica
- K2View
- Matillion
- Microsoft
- Oracle
- Palantir
- 公关ecisely
- Qlik
- Safe Software
- SAP
- SAS
- SnapLogic
- Software AG (StreamSets)
- Talend
- TIBCO
- Data Movement Topology
- Data Virtualization
- Stream Data Integration
- API Services
- Complex Data Transformation
- Augmented Data Integration
- Metadata Support
- Data Preparation
- Integration Portability
- Data Governance Support
- DataOps Support
- FinOps Support
- Data Engineering
- Cloud Data Integration
- Operational Data Integration
- Data Fabric
Gartner Recommended Reading
Critical Capabilities Methodology