Databases
Source reports covering Databases. Stories will appear when analysis and community reactions are ready.
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Source reports
PostgreSQL for Everything
tool
8 min read
PostgreSQL can consolidate functions commonly assigned to separate search, document, queueing, analytics, caching, vector, graph, and storage systems, according to software executive Raphael Bauer. Bauer has used PostgreSQL since about 2003, initially for the ColumbaDB research project, where a full-text-search plugin avoided operating a separate Lucene or Solr system. More recently, he used the TimescaleDB extension to store high-volume web-analytics time-series data for Privatracker. PostgreSQL, first released in 1996, has added capabilities including JSON document storage, partitioning, common table expressions, full-text search, recursive queries, and extensions. Its GIN indexes support JSON querying, while `SELECT FOR UPDATE` and `SKIP LOCKED` can let database tables serve as work queues with multiple consumers. Timescale extends PostgreSQL for time-series workloads, and Bauer says pgvector and pgai support vector indexing, similarity retrieval, and LLM-related workflows. He also cites unlogged tables as a possible cache alternative, LTREE for hierarchical data, and JSON-returning queries for reducing middleware needs. Bauer recommends beginning with PostgreSQL when new requirements arise and adopting specialized systems such as Kafka, RabbitMQ, SQS, ClickHouse, Redis, MongoDB, Solr, or Elasticsearch only when PostgreSQL no longer meets performance or functional needs.
Any text-to-SQL benchmark should address difficulties of real-world data stores
research
1 min read
Text-to-SQL benchmarks must consider the complexities and challenges posed by real-world data stores. Effective evaluation should include factors like data variability, schema complexity, and query performance.
Do you need separate systems when you already have Postgres?
opinion
2 min read
Postgres can serve multiple roles, including caching, queuing, searching, and handling documents and vector embeddings. Many teams overcomplicate their architecture with unnecessary microservices and databases, leading to increased operational overhead and maintenance burdens.
What game engines know about data that databases forgot
tool
8 min read
Typhon is an embedded, persistent, ACID database engine developed in .NET, designed for game servers and real-time simulations. It offers full transactional safety with MVCC snapshot isolation at sub-microsecond latency, utilizing cache-line-aware storage and zero-copy access for configurable durability.
12,000 AI-generated blog posts added in a single commit
tool
40 min read
12,000 blog posts covering ClickHouse, Redis, MongoDB, MySQL, Rook/Ceph, and Dapr have been added. The commit includes updates to SQL functions, configuration guides, troubleshooting runbooks, architecture comparisons, SDK tutorials, and operator deployment patterns, resulting in 5,012 files changed with a net increase of 716,706 lines.
You Just Need Postgres
tool
1 min read
Stop managing 7 databases. Stop paying for 7 services. Stop waking up at 3 AM for 7 reasons. Just use Postgres.
It's 2026, Just Use Postgres
10 min read
Postgres is recommended as a versatile database solution for modern applications, particularly in the AI era. The discussion emphasizes the hidden costs and complexities of using specialized databases compared to the benefits of a unified Postgres stack.