Database Technology

Amazon FireTV redesigned its watch-progress data model in DynamoDB to handle millions of users by splitting large items into smaller, vertically partitioned entities. The team uses hash-prefixed sort keys to enable parallel reads, effectively removing item-size limits and maintaining read latency under 50 milliseconds regardless of profile size. This architecture resulted in a 97% reduction in write costs while supporting high-throughput scenarios.

• Vertical partitioning eliminates DynamoDB 400KB item limits for large datasets.
• Hash-prefixed sort keys enable parallel read operations across shards.
• Write costs dropped 97% by avoiding large item overwrites.
• Read latency stays under 50ms even as profile data grows.

Mehmet Ince's Part 2 of his research highlights that most managed PostgreSQL vendors currently have no monitoring for the shared-buffer-based superuser backdoor technique. While Databricks has begun publicly addressing these systemic risks, the broader industry remains largely unresponsive to extension-based threats. Ince's findings indicate that risks stemming from security-hardening extensions are comparable in severity to core zero-days, yet receive insufficient attention.

• Managed Postgres vendors lack monitoring for shared-buffer superuser backdoors.
• Extension-based risks are as critical as core PostgreSQL zero-days.
• Industry response has been limited, with few vendors addressing the issue.
• Databricks is an early adopter in publicly discussing these systemic risks.

AWS highlights a integration between Amazon Neptune and Linkurious Enterprise that allows business users to explore graph data without writing code. The solution supports full-text search via Amazon OpenSearch Service and facilitates complex queries for anti-money laundering compliance, such as tracing ultimate beneficial owners. This setup bridges the gap between technical graph databases and intuitive business intelligence tools.

• Linkurious Enterprise connects directly to Amazon Neptune for visual graph exploration.
• Business users can perform risk investigations without coding knowledge.
• Full-text search capabilities are powered by Amazon OpenSearch Service.
• Useful for AML compliance and tracing ultimate beneficial owners.

PostgreSQL lacks native support for returning multiple result sets from a single stored procedure call, unlike SQL Server. This guide details two PostgreSQL-native alternatives: session-scoped temporary tables and JSON aggregation. It provides implementation and validation strategies for both approaches using .NET and Npgsql.

• PostgreSQL cannot replicate SQL Server's multi-result-set behavior directly.
• Use session-scoped temp tables or JSON aggregation as viable alternatives.
• Both methods require specific refactoring of existing stored procedure logic.
• Validation and implementation examples are provided for .NET and Npgsql.
• Performance comparison against refcursor baselines is included in the full guide.

The PostgreSQL global development group has published the fourth beta release for version 19. This build continues the iterative hardening process leading toward the final stable release. It includes accumulated code changes and bug fixes identified since the previous beta.

• Target this release for functional testing of upcoming PG 19 features.
• Verify compatibility with existing extensions and custom PL/pgSQL code.
• Monitor for regressions in performance-critical query paths.
• Use for schema migration validation before production upgrade planning.