Precisely Data Matching and Entity Resolution
5.5#16 in identity resolution softwareWebLinuxSelf-hostedWindows
VisitPrecisely Data Matching and Entity Resolution vs Senzing Entity Resolution
Senzing Entity Resolution
6.7#4 in identity resolution softwareFrom $58,560 a yearWebAPILinuxmacOS
VisitWhat both publish
| Fact | Precisely Data Matching and Entity Resolution | Senzing Entity Resolution |
|---|---|---|
| Deployment | Precisely says its matching solutions work across on-premises and cloud environments. | The maker lists bare metal, Docker, Kubernetes, private cloud, AWS, Azure, and air-gapped deployment options. |
| Founded | 1968 | 2017 |
| Integrations | Precisely’s partner ecosystem includes AWS, Azure, Google Cloud, Cloudera, Confluent, Databricks, Snowflake, SAP, ServiceNow, and Splunk. | Senzing lists Python, Java, C#, Rust, Node.js, and an MCP server for connecting the engine to applications and AI agents. |
| Purpose | Connects records across systems that refer to the same real-world entity to create a trusted view of customers, suppliers, assets, and other entities. | Senzing resolves fragmented records into entities and reveals relationships between them for fraud, compliance, and AI systems. |
| Support | Precisely offers customer support plans, including 24/7 severity support, and a portal with documentation, downloads, API information, and forums. | Senzing says support is included with paid subscriptions at no additional charge and is free. |
Precisely Data Matching and Entity Resolution plans
- Data matching and entity resolution solutionsPriced on request
Senzing Entity Resolution plans
- Senzing Subscription Pricing — 10M DSRs$58,560 a year
Pick Precisely Data Matching and Entity Resolution if…
This solution suits organizations seeking to reconcile entity records across large datasets for customer, supplier, asset, fraud, or compliance work. It may also fit teams that need configurable matching across on-premises and cloud environments.
Pick Senzing Entity Resolution if…
Senzing suits organizations in financial services, healthcare, public sector, insurance, and technology that need entity resolution for fraud, compliance, or AI systems. It is also intended for agentic AI use.