Hightouch is aimed at enterprise marketing teams looking to activate customer data through AI and existing data infrastructure.
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Best Identity Resolution Software 2026
When customer or company information sits across different records, identity resolution software can help identify which records may refer to the same entity. Compared on matching approach, household matching, and organization matching, these entries also distinguish between batch file import and real-time API access. Included records, free-plan availability, and paid-from pricing provide additional scope and cost details to weigh. Treasure AI Composable CDP, NVECTA, and Hightouch are among the options, alongside InterSystems IRIS and Splink. Consider which matching capabilities and data access methods align with the records and workflows you need to manage.
Splink
Splink suits Python users linking or deduplicating records without unique identifiers, especially when data is standardized across multiple columns.
WindowsMacLinux+2Senzing Entity Resolution
Senzing may suit teams in financial services, healthcare, public sector, insurance, and technology, as well as teams building agentic AI systems that need to resolve…
WebWindowsMac+3Zingg
Zingg suits analytics engineers and data scientists who need to match records and unify siloed data.
MacLinuxAPI+1Open Client Registry (OpenCR)
OpenCR is intended as a community project for organizations to adapt to their use cases.
WebWindowsMac+3pyJedAI suits developers and research users working on entity resolution, record linkage, or link discovery in Python.
NVECTA is aimed at marketers and businesses seeking unified customer data and personalized engagement.
It is aimed at financial services, telecommunications, utilities and other consumer service providers seeking to connect customer records.
AWS Entity Resolution may suit teams that need to connect related records across data stores and applications.
DinMo suits marketing and business teams that need to activate warehouse data without a technical background.
It is aimed at enterprises and government agencies working to connect data about people, organizations or places.
Tamr suits mid-sized organizations and large enterprises in sectors such as financial services, healthcare, manufacturing, retail, and technology.
The product is described for enterprise brands and first-party data owners, including data companies, retailers, healthcare organizations, and banks and lenders.