Features Unique to Senzing

Purpose-built AI for Entity Resolution

Two tightly coupled classes of algorithms designed for entity resolution. Common sense algorithms enable human-intelligent decisions without any pretraining or pre-tuning. Real-time machine learning algorithms get smarter over time as the system autonomously learns when new data is received.

Operates in Real Time

Native support for real-time operations helps ensure organizations never have to make decisions using outdated entity information. Data is resolved as it is received. Queries are instantly delivered. Data and its consequences are immediately removed. Maintenance is performed on live systems.

Minimal Data Preparation

More tolerant of messy and structurally inconsistent data than traditional systems. Just map data as it exists in source systems and the software takes care of the rest. Some customers report eight times faster data preparation and loading than with other entity resolution systems.

Nonobvious Relationship Awareness

Identifies, maintains and manages disclosed and undisclosed relationships between entities and possible or ambiguous matches (instances where there is not enough information to establish certainty or more than one perfectly matching entity).

Speed and Scalability

Unprecedented speed, scalability and flexibility. Designed to scale vertically and horizontally in cloud computing infrastructures. Easily runs up to 400M records and performs millions of new entity resolutions a day, in real time with sub second response rates, on a $5,000 commodity server.

Built-In Privacy by Design (PbD)

Only entity resolution technology built with Privacy by Design (PbD) from inception. Supports full attribution, favors false negatives, self-corrects false positives, tethers data, and performs selective field hashing. Privacy by Design support will increasingly be a requirement for new technology deployments.

Uniquely Senzing White Paper

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Technical details

Software requirements

Senzing for IBM Cloud Pak for Data or Senzing API requires Red Hat, CentOS, Debian, Ubuntu or Amazon Linux operating system, and IBM DB2, PostgreSQL, MySQL/MariaDB, AWS RDS, SQLite or MS SQL Server database. Senzing Desktop App requires Windows 7/10 (64-bit) and macOS Mojave or Catalina.

    Hardware requirements

    Senzing for IBM Cloud Pak for Data or Senzing API requires 4 Modern CPU Cores, 16 GB RAM, 100 GB Solid State Drive or NVMe storage. Senzing Desktop App recommended: 4 cores, 16 GB RAM, 250 GB Solid State Drive or NVMe storage; minimum: 2 cores, 8 GB RAM, 100 GB storage

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