Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Handling and storing tabular data, such as that found in CSV or Parquet formats, is essential for data management. Transferring large result sets to clients is a common requirement, especially in extensive client/server frameworks designed for centralized enterprise data warehousing. Additionally, writing to a single database from various simultaneous processes poses its own set of challenges. DuckDB serves as a relational database management system (RDBMS), which is a specialized system for overseeing data organized into relations. In this context, a relation refers to a table, characterized by a named collection of rows. Each row within a table maintains a consistent structure of named columns, with each column designated to hold a specific data type. Furthermore, tables are organized within schemas, and a complete database comprises a collection of these schemas, providing structured access to the stored data. This organization not only enhances data integrity but also facilitates efficient querying and reporting across diverse datasets.
Description
Fincom has developed cutting-edge "phonetic fingerprint" technology that allows for the prompt identification of any entity through their name, pronunciation, or "name-sound," all derived from a singular mathematical model. This enhanced "accurate name matching" capability not only significantly reduces operational expenses and mitigates the risk of incurring unnecessary fines but also bolsters trustworthiness and helps maintain your business’s reputation. Employing automated real-time systems powered by AI-ML layers, this technology utilizes over 48 sophisticated mathematical algorithms to ensure precise name matching across 38 languages, accommodating various transliterations and spelling differences. The suite of products offered includes solutions for accurate name matching, seamless onboarding and continuous monitoring automation, transaction screening, and adverse media analysis, along with level 1 and 2 filtering and optimization engines. Additionally, the technology verifies beneficiaries in payments against bank account holders to combat CEO and invoice fraud. By consolidating customer information into a unified view, it allows for the construction of detailed customer risk profiles, enhances understanding of exposure, and facilitates the forecasting of potential risks, ultimately leading to more informed decision-making.
API Access
Has API
API Access
Has API
Integrations
AnalyticsCreator
Databricks
DbGate
Flyte
GetDot.ai
Kestra
LanceDB
Microsoft 365
MotherDuck
Observable
Integrations
AnalyticsCreator
Databricks
DbGate
Flyte
GetDot.ai
Kestra
LanceDB
Microsoft 365
MotherDuck
Observable
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DuckDB
Website
duckdb.org
Vendor Details
Company Name
Fincom.Co
Founded
2016
Country
Israel
Website
fincom.co
Product Features
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
Product Features
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List
GDPR Compliance
Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification