UNIDATA COMMUNITY EDITION
- Powerful opensource data management core

- Module architecture: wide integration abilities for developers

- Well-documented open stack technology

- Vast methodology: cross-industry mutual expertise

- Broad educational programs: Data Governance, Data Science, Machine Learning etc.

- The core of Unidata Community Edition developed from 2014
UDC Projects
There are several significant projects based upon Unidata Community Edition. These projects are in different areas including FinTech and Medical Research.
Licensing
The open version of the platform is distributed under the international license GPL v.3. https://www.gnu.org/licenses/gpl-3.0.en.html

Under this license, it is possible to develop your own platform modules and products using the API. At the same time some projects imply going beyond the scope of the international GPL v.3 license.

In this case we recommend that you contact us by email:
licensing@unidata-platform.com
MDM
Unidata platform is a multifunctional platform for building corporate data management systems. The platform provides the means for centralized data management (inventories and accounting of resources), the standardization of data (normalization and enrichment), keeping track of historical data (control of record versions, periods of data relevance), and maintaining data quality and statistics.
Article about MDM

Data Governance
Data governance is a data management concept concerning the capability that enables an organization to ensure that high data quality exists throughout the complete lifecycle of the data. The key focus areas of data governance include availability, usability, consistency, data integrity and data security and includes establishing processes to ensure effective data management throughout the enterprise such as accountability for the adverse effects of poor data quality.
Article about Data Governance
Data Quality
Data quality refers to the condition of a set of values of qualitative or quantitative variables. Data is generally considered high quality if it is fit for its intended uses in operations, decision making and planning. The question of internal data consistency becomes significant, regardless of fitness for use for any particular external purpose.
Article about Data Quality
Our experts' opinions
Contact us:
udc@unidata-community.com