How much does NORMALIZATOR cost?

NORMALIZATOR pricing is Open Source. Visit the official website for detailed pricing plans.

NORMALIZATOR

Name: NORMALIZATOR
Author: Sugggest

Normalizator is an open-source data normalization and cleansing tool. It profiles, cleanses, matches, merges duplicate records, and monitors data quality in databases and applications to improve data integrity.

Office & Productivity Data Management

data-normalization data-cleansing duplicate-detection data-quality

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Normalizator: Open-Source Data Normalization & Cleansing Tool

What is NORMALIZATOR?

Normalizator is an open-source data quality and data integration tool used for data cleansing, deduplication, and monitoring. It features powerful algorithms to standardize, correct, match, and consolidate duplicate records from multiple data sources.

Key features include:

Data profiling - analyze, profile, and assess the quality of data
Data cleansing - fix incomplete, invalid, inaccurate, or irrelevant data
Data matching - identify duplicate records using customizable match rules
Data merging - merge, consolidate, and remove duplicate records
Data monitoring - set up real-time monitors to track data quality KPIs

Normalizator can connect to databases like MySQL, PostgreSQL, SQL Server, and more. It provides an intuitive graphical interface for mapping, matching, and merging data. Advanced features like custom scripts, scheduled jobs, and data versioning enable complete data quality management.

The open-source software is written in Java and can be installed on Windows, Linux, and Mac OS systems. It can handle large datasets while ensuring high performance. Normalizator is a good alternative for both IT and business users looking for an all-in-one data quality and data integration solution.

NORMALIZATOR Features

Features

Data profiling
Data cleansing
Duplicate record matching and merging
Data quality monitoring
Supports various data sources and formats

Pricing

Open Source

Pros

Open-source and free to use

Comprehensive data normalization and cleansing capabilities

Improves data integrity and quality

Easy to integrate with databases and applications

Cons

May require technical expertise to configure and use

Limited customization options compared to commercial tools

May not have the same level of support as commercial software

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