SQL Server
Oracle
MySQL
PostgreSQL
Amazon Redshift
Azure SQL Database
DBT
Google Big Query
IBM DB2
MariaDB
SAP HANA
Snowflake
SQLite
Teradata
Vertica
Metadata Management tools for Memcached
List of metadata management tools
Metadata management tool is a solution that supplements the data stored by the enterprise environment with useful information. Proper metadata management is a crucial factor to make information searchable, easy to locate and understand. Such tools add meaningful context to raw data, making it convenient to discover even by non-IT members of an organization.
Informatica Metadata Management
Informatica’s metadata management approach is designed to help enterprises fully harness the value of all their data with active metadata. It scans the metadata from all of the enterprise’s data systems including databases and filesystems, integration tools and processes, and analytics and data science tools. It discovers, classifies, and documents key data elements and provides detailed metadata and lineage to bridge technical and business context for data governance.
| Business Glossary: |
|
|---|---|
| Change history: |
|
| Data Classification: |
|
| Data Lineage: |
|
| Data Profiling: |
|
| On premises/cloud: | Cloud |
| Rating of assets: |
|
| Reference data: |
|
| Support for workflow: |
|
IBM Watson Knowledge Catalog
IBM Watson® Knowledge Catalog is an open and intelligent data catalog for managing enterprise data and AI model governance, quality and collaboration. It provides unique capabilities that include automated data discovery and metadata generation, ML-extracted business glossary from most common regulatory terms, and many more.
| Business Glossary: |
|
|---|---|
| Change history: |
|
| Data Classification: |
|
| Data Lineage: |
|
| Data Profiling: |
|
| On premises/cloud: | Cloud |
| Rating of assets: |
|
| Reference data: |
|
| Support for workflow: |
|
Metadata management tools are usually multifunctional programs that provide a wide spectrum of usability. They include functionalities such as:
• Data catalog,
• compatibility with multiple connectors, making the tool a single source of truth about the data from different repositories,
• Business glossary,
• Data lineage,
• Data profiling,
• Impact analysis,
• Metadata ingestion and translation.
From the organization's point of view, the ability to export the created documentation into user-friendly formats is also important. What is more, some of the tools offer a community module, which facilitates the information flow.
Metadata management solutions oversee data across its entire lifecycle. This typically covers four primary areas: data analysis, data value, data governance, risk and compliance.
Proper metadata management implementation allows for standardized metadata definitions, management, and maintenance of information across the organization for greater business efficiency.
Today, as data becomes increasingly important to the growth of company performance, choosing the right way to manage it is equally essential.
To help you find the right tool for your organization, we have put together this list of best metadata management solutions.