Observed Signal · Apr 8, 2026 · Product Launch · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Positive
DataVeil v5 Adds PostgreSQL Support for Static Masking
DataVeil Technologies released DataVeil Version 5, extending its database-agnostic static data masking solution to PostgreSQL and PostgreSQL-compatible platforms including Amazon Aurora PostgreSQL and Google AlloyDB. Version 5 uses the same masking workflow already available for SQL Server, Azure SQL Database/Managed Instance, Oracle and MySQL, and targets non-production use cases (development, testing, QA, analytics, training, support) by permanently replacing sensitive data in copies of production databases. The release highlights capabilities such as consistent masking across related data, preservation of referential integrity, format-preserving masking, sensitive-data discovery support, reusable project-based definitions, and command-line automation. DataVeil emphasizes ease of standardizing masking across mixed database environments and migration scenarios. The company has been generally available since 2013.
Incremental product release that expands an enterprise data-protection tool to PostgreSQL ecosystems; useful for organizations standardizing masking across mixed database environments and migrating to PostgreSQL but not industry-shifting.
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Key Takeaways & Evidence Grounding
- DataVeil Technologies released DataVeil Version 5.
- Version 5 adds support for PostgreSQL and PostgreSQL-compatible platforms such as Amazon Aurora PostgreSQL and Google AlloyDB.
- The release extends DataVeil's existing database-agnostic static data masking workflow used for SQL Server, Azure SQL Database / Managed Instance, Oracle, and MySQL.
- DataVeil provides static data masking that permanently replaces sensitive data in copies of production databases for non-production environments.
- DataVeil has been in general release since 2013.
Connected Companies & Entities
1 Entity mappedOntology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
dbForge 2026.1 Improves AI SQL and PostgreSQL Tools
Devart released dbForge 2026.1, a major update to its dbForge database development products that expands AI-powered SQL generation and adds enhanced PostgreSQL design and development features. The release upgrades the dbForge AI Assistant to use detailed database index metadata (clustered, nonclustered, composite, unique, B-tree) to produce more context-aware SQL generation and optimization. New PostgreSQL capabilities include a visual Query Builder (drag-and-drop for SELECT/INSERT/UPDATE/DELETE/JOIN), a visual Table Editor, expanded schema comparison and synchronization (including support related to Amazon Redshift), and multiple editor/workflow improvements such as dollar-quote syntax highlighting, index name suggestions, and pinned document tabs. The update targets developers, DBAs, analysts and BI teams and was published on 2026-05-21.
DataStrike Expands Snowflake Managed Services
DataStrike announced an expansion of its Snowflake managed services practice to meet growing demand from mid-market organizations running production workloads on Snowflake. The company positions its offering around 24/7 U.S.-based engineering support for cost and consumption management, pipeline monitoring, performance management and architectural assessments to help clients govern credits, stabilize production environments and prepare data platforms for AI use cases. Earlier this year DataStrike reported a 600% increase in PostgreSQL managed services engagements, which it says is feeding Snowflake adoption among its clients. The company also announced a strategic partnership with Brainforge, a Snowflake partner, to extend capabilities from initial implementation and AI readiness through ongoing managed services.
DuckLake Spec, pg_background 2.0, pgsql_tweaks 1.0.3 Released
DuckDB published the DuckLake v1.0 specification to simplify reading and writing dataframes directly to/from data lake storage and to encourage a connector ecosystem (including AI-assisted reader/writer generation). The PostgreSQL ecosystem released two updates: pg_background 2.0, announced by Vibhor Kumar, which enables safer asynchronous SQL execution via background workers and is stated to be ready for PostgreSQL 19; and pgsql_tweaks 1.0.3, announced by Stefanie Janine Stölting, a utilities bundle providing functions and views for monitoring, analysis and basic performance tuning. Together these releases aim to streamline data lake integration and improve operational tooling for PostgreSQL users and data engineers.
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