No duplicating of source database required, eliminating the need for additional hardware, software licenses, and configuration costs associated with setting up and maintaining a separate database environment for applications.
No additional amount of storage space required, avoiding the need for extra disk capacity, storage systems, or cloud storage allocation. This conserves resources and prevents unnecessary expansion of data storage infrastructure, leading to more efficient use of existing systems and reduced ongoing storage management costs.
No database or application modifications required, preserving the integrity of existing systems and eliminating the need for time-consuming code changes or database restructuring. This approach minimizes disruption to current workflows.
Full Control Over Access to Your Data.
Try Data Masking Solution by DataSunrise
Download FreeProtecting sensitive information if you need to give access to the database to some third-party users while keeping its sensitive contents unexposed. With Dynamic Data Masking, users can work with your live database without gaining access to sensitive data it contains.
- In application development and testing
- For analytics and statistics
- For outsourcing and off-shoring projects
High Performance Dynamic Data Masking
- Protects sensitive data by obfuscating and encrypting the query results on-the-fly
- Supports a large number of relational databases both on-prem and in clouds
- An instrument to limit exposure of sensitive data both to regular users and database administrators
- Dynamic obfuscation of sensitive data in the database responses
- Flexible masking policies and multiple data masking algorithms
- Non-intrusive deployments with DataSunrise Security Proxy
- Dynamic data masking filtered by database users, OS users, application users
Supported Databases and Platforms:
SQL and NoSQL, in the Cloud and on-Premises
Specification
Description
SQL
- All RDS Databases
- AlloyDB
- Amazon Athena
- Amazon Aurora
- Amazon Redshift
- Apache Hive
- Apache Impala
- Azure Synapse Analytics
- Cloudberry Database
- CockroachDB
- GaussDB
- Google BigQuery
- Google Cloud SQL
- Greenplum
- Heroku Postgres
- Hydra
- IBM Db2
- IBM Db2 Big SQL
- IBM Informix
- IBM Netezza
- MS SQL Azure
- MS SQL Server
- MariaDB
- MySQL
- Neo4j
- Oracle
- PostgreSQL
- Percona Server MySQL
- SAP HANA
- Snowflake
- Sybase
- Teradata
- TiDB
- Vertica
- YugabyteDB