SQL Server
Oracle
MySQL
PostgreSQL
Amazon Redshift
Azure SQL Database
DBT
Google Big Query
IBM DB2
MariaDB
SAP HANA
Snowflake
SQLite
Teradata
Vertica
Data democratization tools for Apache Parquet
Data democratization tools enable the access of data by anyone in the organization, regardless of their role or technical knowledge, in order to make data-informed decisions. It's a crucial element which eliminates gatekeepers and bottlenecks that they create in the company.
Dataedo
Dataedo is a powerful software solution designed to break down data barriers within organizations. With an intuitive interface, Dataedo makes it easy to document, understand, and share data assets across technical and non-technical teams. By promoting data accessibility, Dataedo enhances decision-making and collaboration, ultimately driving innovation. Discover Dataedo to empower data democratization in your organization with transparent and accessible data.
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Informatica Enterprise Data Catalog
Informatica Data Catalog is a machine learning-based data catalog that lets you classify and organize data assets across any environment to maximize data value and reuse, and provides a metadata system of record for the enterprise. It automatically scans and catalogs data across the enterprise, indexing it for enterprise-wide discovery using simple, Google-like search.
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| Export: | CSV,JSON,MS Excel,Plain text,XML |
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Data democratization is essential to agile, data-driven organizations. The ability to access and understand data creates more data-driven employees and it leads to faster decision making. What is more, democratizing data allows the team members to take on ownership and more responsibility while using data to make decisions.
Enterprises that democratize data are able to access data that was previously locked in a data warehouse or data lake and accessible only to the IT employees. They are also able to address resource limitations and data enablement.
In our list, we included data democratization tools that can help you facilitate easy access to data.