Epsilon COREid vs Precisely Data Matching and Entity Resolution
Epsilon COREid
epsilon.comPrecisely Data Matching and Entity Resolution
precisely.comSide by side
| Figure | Epsilon COREid | Precisely Data Matching and Entity Resolution |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| Linux | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 1 |
| Spec score · Identity Resolution Software | 7.4 (#12) | 7.2 (#19) |
| Founded | 1969 | 1968 |
| Integrations | Epsilon says COREid powers its customer data platform, which can activate audiences through owned channels such as email and SMS and paid channels such as digital media, CTV and online video. | Precisely’s partner ecosystem includes AWS, Azure, Google Cloud, Cloudera, Confluent, Databricks, Snowflake, SAP, ServiceNow, and Splunk. |
| Purpose | COREid services provide identity resolution to recognize and reach more than 200 million U.S. consumers in a privacy-safe way. | Connects records across systems that refer to the same real-world entity to create a trusted view of customers, suppliers, assets, and other entities. |
| Security | Epsilon’s privacy notice says it uses firewalls, intrusion detection software and manual security procedures to help protect data against loss, damage, unauthorized access or improper use. | Precisely says its SaaS solutions are assessed to SOC 2 Type II annually and certified to ISO 27001:2022. |
Plans
Precisely Data Matching and Entity Resolution
- Data matching and entity resolution solutionsPriced on request
In their own words
Epsilon COREid
Epsilon COREid has no write-up on Specifiction yet; its figures are above.
Precisely Data Matching and Entity Resolution
Precisely Data Matching and Entity Resolution links records across systems when they refer to the same real-world entity. It is designed to create trusted views of people, households, businesses, suppliers, assets, products, parts, and locations for uses such as customer 360, fraud detection, anti-money laundering, and business decisions. Configurable matching and AI/ML support work across large, complex datasets with less dependence on IT. Precisely solutions can profile data, apply business rules, and enrich records with demographic, firmographic, and location intelligence before matching. Spectrum Quality provides phonetic, distance-based, and country-specific algorithms for B2B and B2C names across more than 200 countries. The solutions work in on-premises and cloud environments; listed platforms include Linux, Windows, web, and self-hosted. Batch file import, household matching, and organization matching are supported. Precisely reports that Schwan’s experienced a 25% decrease in new customer duplicate data. Pricing is available on request. The company was founded in 1968 and is headquartered in Burlington, Massachusetts, USA.