Senzing Description
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 about people, organizations and their relationships in real time as new data is received.
The highly accurate and complete views Senzing software delivers allow you to reduce costs and enable new revenue opportunities. Senzing provides a set of libraries that that can be deployed on premises or in the cloud, in a variety of ways, depending on your architecture and environment requirements. Data remains in your ecosystem and never flows to Senzing, Inc.
Minimal data preparation is required when and no tuning, training or entity resolution experts are needed. A free proof of concept can be completed in about six hours on AWS or bare metal. You can try the Senzing API on up to 100K records for free.
Senzing Alternatives
Teradata VantageCloud: Open, Scalable Cloud Analytics for AI
VantageCloud is Teradata’s cloud-native analytics and data platform designed for performance and flexibility. It unifies data from multiple sources, supports complex analytics at scale, and makes it easier to deploy AI and machine learning models in production. With built-in support for multi-cloud and hybrid deployments, VantageCloud lets organizations manage data across AWS, Azure, Google Cloud, and on-prem environments without vendor lock-in. Its open architecture integrates with modern data tools and standard formats, giving developers and data teams freedom to innovate while keeping costs predictable.
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Plauti builds native data-quality applications that run entirely within your CRM environment. No data is sent to external servers or third-party processing services, and there’s no parallel infrastructure to maintain. Your data stays where it belongs: under your control, behind your security perimeter, governed by your own access model.
For Salesforce, Plauti addresses the full lifecycle of data quality:
> Prevention at entry: Real-time duplicate detection alerts users as they type, blocking bad data before it’s created.
> Detection from external sources: Identify duplicates coming from integrations, imports, and APIs, so data quality doesn’t degrade over time.
> Batch remediation at scale: Run powerful batch jobs to find, review, and merge existing duplicates, with full audit trails for compliance and governance.
> Contact data verification: Validate email addresses and phone numbers before they’re saved to reduce bounces and failed outreach.
All processing runs natively on Salesforce infrastructure. Plauti respects your existing profiles, roles, and permission sets, so there’s no separate login, no data synchronization layer, and no new security surface to harden.
For Microsoft Dynamics 365, Plauti provides similar control over duplicates with real-time alerts, API-driven detection, batch processing, and cross-entity matching. It’s designed for CRM admins and data stewards who need direct, immediate control over data quality without waiting on developers, external consultants, or long IT ticket queues.
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Your first-party data can be used to unlock its full potential. D&B Connect is a self-service, customizable master data management solution that can scale. D&B Connect's family of products can help you eliminate data silos and bring all your data together. Our database contains hundreds of millions records that can be used to enrich, cleanse, and benchmark your data. This creates a single, interconnected source of truth that empowers teams to make better business decisions. With data you can trust, you can drive growth and lower risk. Your sales and marketing teams will be able to align territories with a complete view of account relationships if they have a solid data foundation. Reduce internal conflict and confusion caused by incomplete or poor data. Segmentation and targeting should be strengthened. Personalization and quality of marketing-sourced leads can be improved. Increase accuracy in reporting and ROI analysis.
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SCIKIQ
Every CXO wants one view of the enterprise: costs, revenue, and growth, in one place, in real time.
SCIKIQ powers that enterprise 360, in detail, on governed data.
SCIKIQ is an enterprise data fabric platform that unifies data integration, data quality, data governance, and master data management and makes data AI-ready through a semantic layer built on ontologies and knowledge graphs.
Instead of moving data into yet another warehouse, SCIKIQ connects to systems where they are and applies governance, lineage, and business context on top.
No migration. No rip-and-replace.
What's inside:
167+ pre-built connectors — SAP, Snowflake, Oracle, Kafka, and more
Data catalog with automated data lineage and active metadata
No-code ETL, orchestration, and data quality management
Semantic layer with ontologies and knowledge graphs for AI-ready business context
Agentic AI and conversational analytics — business users query governed data in plain language
Data Product Factory and internal data marketplace — package governed datasets into reusable data products
Data observability — catch schema changes, quality drift, and pipeline failures before they hit reports
Security and compliance: role-based access, column- and row-level security, audit trails, and policy automation for GDPR, India's DPDP Act, and regulated industries like banking and healthcare.
Deploys cloud-agnostic — AWS, Azure, GCP, or on-premises, and works alongside existing investments in Power BI, Tableau, and dbt rather than replacing them. API access included.
Live in 30–90 days.
Recognized by Forrester as a Top 34 AI Platform globally. NASSCOM League of 10.
Trusted by enterprises in banking, financial services, retail, manufacturing, and supply chain.
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Pricing
Pricing Information:
Free evaluation up to 100K records or more on request. Production pricing starts at $37,440 /year for 10M records.
Free Version:
Yes
Company Details
Company:
Senzing
Year Founded:
2016
Headquarters:
United States
Website:
senzing.com
Media
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Product Details
Platforms
Linux
On-Premises
Types of Training
Training Docs
Live Training (Online)
Training Videos
Customer Support
Live Rep (24/7)
Online Support
Senzing Features and Options
AML Software
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling
Master Data Management Software
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
Data Analysis Software
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Fabric Software
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
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