NORMALIZATOR

NORMALIZATOR

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

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.

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

  1. Data profiling
  2. Data cleansing
  3. Duplicate record matching and merging
  4. Data quality monitoring
  5. 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

Official Links


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