Topics
Connectors and data sources
Every source type brings its own problems: dialects, data types, permission models, the size of a warehouse or the shape of a mainframe file. The pillar lists every connector with its status, derived from recorded conformance evidence; the cluster pages explain each source category and walk through specific databases and stores.
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Database test data management
Data warehouse test data management
Lakehouse test data management
Object storage test data management
File-based test data management
NoSQL test data management
Streaming test data management
API test data management
Mainframe test data management
SaaS application test data management
Test data management for PostgreSQL
How to build masked, referentially intact PostgreSQL test datasets inside your own network, with a read-only proof on the source and certified loads into QA.
Test data management for SQL Server
What test data management for Microsoft SQL Server involves, what DataNivra's SQL Server connector does today, its tested limits, and the export path for everything outside them.
Test data management for Oracle Database
Building safe Oracle test data - read-only extraction, entity subsets, consistent masking - and what DataNivra's Oracle connector covers today and what it does not.
Test data management for MySQL
How to get realistic, masked MySQL and MariaDB test data without dumping production into QA, and what the MySQL connector does and does not do yet.
Test data management for Snowflake
Safe test data from Snowflake - clones versus masked subsets, read-only roles, the status of DataNivra's Snowflake connector and an unload path for teams that prefer files.
Test data management for Databricks
Test data for Databricks lakehouses - Delta tables, Unity Catalog grants, masked subsets - and the current status of DataNivra's Databricks connector.
DataNivra for Databricks
Test data management for Amazon S3
Build masked test datasets, certified against your configured policy gates, from Parquet and CSV files in Amazon S3 or S3-compatible storage, with the agent running in your own AWS VPC.
Test data management for Azure Data Lake Storage
Build masked test datasets, certified against your configured policy gates, from Parquet and CSV files in Azure Blob Storage or ADLS Gen2, with the DataNivra agent running inside your own Azure VNet.
Test data management for mainframes
Mainframe test data - EBCDIC records, COBOL copybooks, packed decimal and identifiers shared with modern systems - and what DataNivra's preview mainframe file connector does and does not do yet.
A synthetic PostgreSQL test database in foreign-key order
Generate a psql load script for a synthetic multi-schema bundle — schemas, DDL and copies in foreign-key order — checked by a test that loads it into a real PostgreSQL server.
Synthetic test tables in a Databricks development catalog
Turn a synthetic retail bundle into Delta table definitions and COPY INTO statements for a development catalog, and see where the Databricks connector fits for real sources.