Best Identity Resolution Software for Elasticsearch

Compare the Top Identity Resolution Software that integrates with Elasticsearch as of July 2025

This a list of Identity Resolution software that integrates with Elasticsearch. Use the filters on the left to add additional filters for products that have integrations with Elasticsearch. View the products that work with Elasticsearch in the table below.

What is Identity Resolution Software for Elasticsearch?

Identity resolution software enables organizations to identify and track the identity of customers, users, or potential customers across multiple devices and services. Identity resolution solutions are very helpful for running personalized campaigns across different channels and devices. Compare and read user reviews of the best Identity Resolution software for Elasticsearch currently available using the table below. This list is updated regularly.

  • 1
    Senzing

    Senzing

    Senzing

    Senzing® entity resolution API software provides the most advanced, affordable, and easy-to-use data matching and relationship detection capabilities available. With Senzing software, you can automatically resolve records into common entities in real time as new data is received. The complete view of all records related to every person or organization, across all of your internal and external data sources, can help you reduce costs and enable new revenue opportunities. Companies use Senzing entity resolution API to provide highly accurate views of people, organizations, and their relationships. You can deploy the Senzing entity resolution API on premises or in cloud-native deployments. Data remains in your ecosystem and never flows to Senzing. A free proof of concept can be completed in one day on AWS or on BareMetal. Senzing makes human-intelligent decisions without any pre-training or pre-tuning.
  • 2
    NetOwl EntityMatcher
    NetOwl EntityMatcher provides accurate, fast, and scalable identity resolution based not only on similarities of the entity names but also other key entity attributes such as date of birth, place of birth, address, and nationality. Identity resolution can also be based on social network information such as employer, spouse, associate, etc. NetOwl performs identity resolution based on any combination of available entity record attributes by utilizing its unique proprietary search and indexing engine that allows combination of evidence from multiple matching attributes in a highly robust, scalable, and intuitive fashion. Application-specific business rules can be implemented by determining what combination of record attributes should be matched and what weights should be assigned to each attribute. NetOwl leverages our machine learning-based multicultural, multi-lingual name matching product, NetOwl NameMatcher, to enable sophisticated name matching of various entity types.
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